Python Development From Basic To Advance Programming



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.87 GB | Duration: 4h 51m

Python Programming for Beginners: Unlock the Power of Code


What you'll learn
Python different types of variables and Data Types
Python Different Types of Operators
Python Different Types of Loop
Advance python coding and projects
Requirements
No any prerequisites to learn python
Description
Dive into the world of Python, one of the most popular and versatile programming languages. This course is designed to cater to beginners, intermediate learners, and professionals who want to enhance their coding skills and explore the vast potential of Python.Python is known for its simplicity, readability, and vast array of applications, from web development to data science, artificial intelligence, and automation. In this comprehensive course, you will learn everything from the foundational concepts of Python programming to advanced techniques that prepare you for real-world challenges.You will start with the basics-understanding variables, data types, and control structures-before progressing to functions, object-oriented programming, and error handling. As the course advances, you will explore Python's powerful libraries, including NumPy, Pandas, and Matplotlib, which are essential for data analysis and visualization. You'll also learn how to automate repetitive tasks, interact with APIs, and build scalable applications.This course is hands-on, featuring coding exercises, interactive challenges, and real-world projects that will help solidify your knowledge. By the end, you'll have the skills to build dynamic websites, analyze complex datasets, create machine learning models, or automate your workflows.Join this Python course today and open the door to endless opportunities in technology and beyond.
Overview
Section 1: Introduction
Lecture 1 Python Introduction
Section 2: Python Basic Concept
Lecture 2 Python Comments
Lecture 3 Python Shortcut
Lecture 4 Python Markdown and Header Cell
Lecture 5 Python Code Navigation
Lecture 6 Python Indentation
Lecture 7 Python Basic Script
Lecture 8 Python Casting
Section 3: Operators and Operands
Lecture 9 Operator and Operand Introduction
Lecture 10 Python Basic Operators
Lecture 11 Python Arithmetic Operator
Lecture 12 Python Special Arithmetic Operator
Lecture 13 Python Arithmetic Calculation
Lecture 14 Python Operators (IN)
Lecture 15 Python Operators (IS)
Lecture 16 Python Operators (Single Input)
Lecture 17 Python Operators (Multiple Input)
Section 4: Variables
Lecture 18 Python Variable
Lecture 19 Python Local Variable
Lecture 20 Python Global Variable
Section 5: Data Types
Lecture 21 Python Data Type Introduction
Lecture 22 Python Data Type Check (List ,Tuple , Set ,Dict)
Section 6: Data Type String
Lecture 23 Python String Multi Line Values
Lecture 24 Python String Slicing
Lecture 25 Python String Modification
Lecture 26 Python Split Operation
Lecture 27 Python String Concatenation
Lecture 28 Python String Formatting
Lecture 29 Python String Formatting Part 2
Section 7: Data Type List
Lecture 30 Python Operators (AND)
Lecture 31 Python List Check Value
Lecture 32 Python List Change
Lecture 33 Python Complete List Change
Lecture 34 Python List Extend and Append
Lecture 35 Python Clear List
Lecture 36 Python For Loop over List
Lecture 37 Python For Loop Over List for Text Analytics
Lecture 38 Python Sort Over List Value
Lecture 39 Python List Copy
Lecture 40 Python List Join
Section 8: Python Tuple
Lecture 41 Python Tuple Operation
Lecture 42 Python Tuple Access Data
Python is for students, working professional who want to migrate career in development, data science and data engineering
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Project Management Templates (2024)



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 552.77 MB | Duration: 0h 45m

Delay Tracker , Procurement Tracker , Primaver Trikcs


What you'll learn
Templates provide a pre-built structure, eliminating the need to start from scratch.
Standardized templates ensure consistency across projects, saving time on formatting and design.
Templates provide a comprehensive framework for project planning, execution, and monitoring.
Templates facilitate better collaboration among team members by providing a shared understanding of project goals, tasks, and responsibilities.
Requirements
you will everything you require
Description
Project management templates offer a multitude of benefits for construction projects. By providing pre-designed structures, they streamline processes, save time, and ensure consistency. Standardized templates facilitate efficient planning, task allocation, and resource management, reducing the risk of errors and delays. Moreover, they enhance communication and collaboration among team members, promoting a shared understanding of project goals and responsibilities. Additionally, templates often include risk assessment and mitigation strategies, helping to identify and address potential challenges proactively. Ultimately, the use of project management templates can significantly improve project outcomes, leading to increased efficiency, reduced costs, and enhanced client satisfaction. Project management templates empower construction teams by providing a solid foundation for project execution. These templates offer a standardized approach to planning, scheduling, and budgeting, ensuring consistency and efficiency across diverse projects. By leveraging pre-designed documents and checklists, teams can save valuable time and reduce the risk of overlooking critical tasks. Additionally, templates promote effective communication and collaboration among stakeholders, fostering a shared understanding of project objectives and timelines. Ultimately, the implementation of project management templates can significantly improve project performance, enhance quality control, and contribute to the overall success of construction endeavors.Project management templates empower construction teams by providing a solid foundation for project execution. These templates offer a standardized approach to planning, scheduling, and budgeting, ensuring consistency and efficiency across diverse projects. By leveraging pre-designed documents and checklists, teams can save valuable time and reduce the risk of overlooking critical tasks. Additionally, templates promote effective communication and collaboration among stakeholders, fostering a shared understanding of project objectives and timelines. Ultimately, the implementation of project management templates can significantly improve project performance, enhance quality control, and contribute to the overall success of construction endeavors.
Overview
Section 1: Project Management Templates
Lecture 1 Dynamic Delay Log
Lecture 2 Delay Register
Lecture 3 Equipment Tracker
Lecture 4 Productivity Rates
Lecture 5 Procurement Tracker
Lecture 6 Cost Assessment -1
Lecture 7 Cost Assessment vs Gant Chart
Lecture 8 X-look Up
Lecture 9 WBS Color (Excel Macro)
Section 2: Primavera short Videos
Lecture 10 Dynamic Histogram
Lecture 11 Manpower Histogram
Lecture 12 Project S-curve
Lecture 13 Global Change (Duration)
Lecture 14 Assign baseline
Lecture 15 User Defined Field
Lecture 16 SPI Indicator
Lecture 17 Activity Dissolving
Lecture 18 Link Activities
Lecture 19 Spell Check
Lecture 20 Renumber Activities ID
All levels
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Professional Diploma In Commercial Management



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.86 GB | Duration: 1h 37m

Master Business Strategy, Commercial, Contract Management, Financial Planning and Risk Mitigation for Career Growth


What you'll learn
Fundamental principles of commercial management.
Effective contract management and negotiation strategies.
Financial planning, budgeting, and cost control techniques.
Risk management strategies to minimize business uncertainties.
The role of commercial management in business growth and sustainability.
How to develop and implement a winning commercial strategy.
Key aspects of stakeholder engagement and management.
Tools and techniques for performance measurement and reporting.
Requirements
No prior experience in commercial management is required.
A basic understanding of business operations is helpful but not mandatory.
Interest in Commercial Strategy and Management
Description
Unlock your potential in the world of commercial management with the Professional Diploma in Commercial Management. This comprehensive course is designed to equip you with the skills and knowledge necessary to excel in managing the commercial aspects of a business, from strategic planning to risk management, contract negotiations, and financial oversight. Whether you're an aspiring commercial manager, an entrepreneur, or a business professional looking to level up, this course will provide you with the tools to drive business success and increase profitability.Throughout this course, you will dive deep into the core principles of commercial management, learning how toevelop and implement strategic commercial plans that align with business objectives.Master contract management and negotiation techniques to protect your business interests.Gain expertise in financial planning, budgeting, and cost control to ensure profitable operations.Understand and mitigate risks that can impact business performance.Build strong stakeholder relationships to support long-term business growth.In addition, you'll explore the practical applications of commercial management through real-world case studies and hands-on assignments. With a focus on industry best practices, this course empowers you to make data-driven decisions, optimize business operations, and lead teams effectively.Whether you're in procurement, sales, finance, or project management, this course will help you develop a holistic understanding of how commercial management drives business performance across sectors. Upon completion, you'll earn a Professional Diploma in Commercial Management, a certification that demonstrates your advanced expertise and positions you as a strategic asset in any organization.Who Should Take This Course?This course is perfect for business professionals, entrepreneurs, project managers, and anyone looking to strengthen their commercial management skills. If you're ready to advance your career and take on greater leadership responsibilities, this course will give you the knowledge and confidence to succeed.Key Takeaways:Master the key principles of commercial management.Develop effective strategies for managing contracts, budgets, and risks.Learn to lead with confidence and improve business performance.Gain a professional qualification recognized across industries.Take your commercial management skills to the next level and position yourself for success in today's competitive business world.
Overview
Section 1: Introduction to Commercial Management
Lecture 1 Defining commercial management
Lecture 2 Role and importance in various industries
Lecture 3 Key responsibilities and skills of a commercial manager
Section 2: Strategic Commercial Planning
Lecture 4 Developing a commercial strategy
Lecture 5 Setting and achieving commercial goals
Section 3: Contract Management and Negotiation
Lecture 6 Basics of contract law and agreements
Lecture 7 Techniques for successful negotiation
Section 4: Financial Aspects of Commercial Management
Lecture 8 Budgeting and cost control
Lecture 9 Financial performance indicators and reporting
Section 5: Risk and Performance Management
Lecture 10 Identifying and mitigating business risks
Lecture 11 Tools for performance measurement
Section 6: Stakeholder Management
Lecture 12 Engaging and managing internal and external stakeholders
Lecture 13 Building and maintaining strong business relationships
Lecture 14 Handling conflicts and achieving alignment
Individuals who want to enhance their expertise in managing the commercial aspects of a business.,Aspiring Commercial Managers,Business Professionals in Procurement, Sales, and Finance,Entrepreneurs and Small Business Owners,Project Managers and Team Leaders,Graduates and Students in Business and Management,Professionals Seeking Career Advancement
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Nuke Essentials : A Beginner's Guide To VFX Compositing



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.56 GB | Duration: 5h 21m

Build a Strong Foundation in VFX Compositing with Nuke - Perfect for Beginners


What you'll learn
Learn the core concepts of compositing, including working with nodes, layering, and color correction in Nuke.
Gain the skills to perform green screen removal, masking, and rotoscoping for seamless VFX integration.
Learn how to use tracking tools in Nuke for stabilization, camera matching, and creating realistic composite shots.
Complete projects with professional finishing techniques, including grading, color matching, and rendering final outputs.
Requirements
Basic familiarity with computers and a general understanding of visual effects or animation is helpful but not required.
Access to a computer with Nuke software installed.
No prior experience in compositing is necessary; you will learn everything from scratch.
Description
The Nuke Essentials Course is a comprehensive introduction to VFX compositing, designed specifically for beginners who want to establish a strong foundation in this powerful industry-standard software. In this course, you will learn the core principles and tools of Nuke, starting with understanding the node-based workflow that makes it one of the most flexible and efficient compositing tools available.We'll cover key topics such as color correction, where you'll learn how to adjust and enhance the colors of your shots, and keying techniques, which will help you effectively separate elements from their backgrounds. You will also explore rotoscoping, a crucial skill for creating clean, detailed mattes for compositing, as well as basic tracking methods, allowing you to integrate elements seamlessly into live-action footage.Through a combination of hands-on exercises and real-world examples, you'll gain practical experience that will enable you to create polished, professional-grade composites. Whether you're looking to work on film, television, or digital media projects, this course will provide you with the essential tools and techniques needed to get started in the world of compositing.Perfect for anyone new to VFX or those who want to transition into compositing, the Nuke Essentials Course ensures that you are well-prepared to take the first step towards mastering this powerful software and building a successful career in the VFX industry.
Overview
Section 1: Introduction To Nuke
Lecture 1 Overview of the Nuke Interface
Lecture 2 Importing & Exporting Footages
Lecture 3 Basic Navigation and Shortcuts
Section 2: Working with Nodes
Lecture 4 Core Node Types
Lecture 5 Nodes vs Layers
Lecture 6 Connecting and Organizing Nodes
Section 3: Rotoscopy
Lecture 7 Introduction to Rotoscopy
Lecture 8 Understanding Roto Node
Lecture 9 Using Roto Node on Actual Footage
Lecture 10 Tips for Clean and Smooth Rotoscoping
Section 4: 2D Tracking and Matchmove
Lecture 11 Introduction to 2D Tracking
Lecture 12 Tracking Objects and Applying the Data
Lecture 13 Stabilization and Match-Move Techniques
Lecture 14 Integrating Tracked Elements with Footage
Section 5: Chroma Removal (Keying)
Lecture 15 Introduction to Green Screen
Lecture 16 Using Keyer Nodes (Primatte, Keylight)
Lecture 17 Refining the Key (Edge Cleanup, Despill)
Lecture 18 Using Soft & Core Mattes
Section 6: Clean Plate Creation
Lecture 19 Understanding Clean Plates
Lecture 20 Understanding Rotopaint Node
Lecture 21 Techniques for Removing Unwanted Elements
Section 7: Marker Removal
Lecture 22 Using Rotopaint & Transform Node
Lecture 23 Applying 2D Tracking to Remove Moving Markers
Section 8: Color Correction and Grading
Lecture 24 Color Theory
Lecture 25 Color Nodes in Nuke
Lecture 26 Color Correcting Raw Footage
Section 9: Basic Compositing Techniques
Lecture 27 Different Merge Operations
Lecture 28 Premult & Unpremult
Section 10: Final Project
Lecture 29 Final_Composite
Anyone interested in a career in the VFX industry, particularly in roles such as compositing artist or VFX generalist,Aspiring VFX artists, filmmakers, and animators who want to build a strong foundation in compositing.,Beginners in visual effects who are curious about learning Nuke and enhancing their skills.
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Microsoft Azure API Management Masterclass



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.69 GB | Duration: 10h 56m

Concepts, Hands-on and Use-cases | A complete guide to become Azure API Management Expert


What you'll learn
API Concept, Examples, Swagger Specs, Exploring Google Maps API
Necessary Cloud Basics and Need of API Management
Create APIM Service and import various backends
Authentication, Subscriptions, Products
Policies: Authentication, rate limiting, data masking, CORS etc.
Add and configure API manually
Policy scopes, mocking, versioning, revisioning, named values & backends
Request Debugging (Legacy and new tracing)
Internal and External Caching
OAuth2 Flows and detailed Azure AD Integration
Developer Portal detailed implementation
APIM Networking models and their detailed implementation
Implement APIOps (DevOps for API) using GitHub Actions
Implement Resiliency, Disaster Recovery and Custom Domain
Implement self-hosted API gateway with Kubernetes
Enable Logging & Monitoring: KQL, Application Insights, Analytics, Alerts and Workbooks
Requirements
Enthusiasm to explore cloud or learn a new technology
Some IT background is recommended
Description
Learn the feature-packed Azure API Management Service with this HANDS-ON DRIVEN course that also covers the necessary CONCEPTS (whether basic or advanced) as needed. Azure API Management is Platform-as-a-Service (PaaS) offering from Microsoft which provides low-code unified cloud platform for implementing API Gateway on HTTP services and managing complete lifecycle for the APIs. This course is carefully structured to make sure it provides a holistic learning journey for anyone wanting to explore the numerous configurations, functionalities and use-cases of Azure API Management ServiceNew to Azure, Cloud or APIs? No worries.Curated for everyone - beginners & experiencedCovers the necessary Cloud and API fundamentals in dedicated sectionsExplore Azure APIM essential concepts and features, then organically dive into advanced features and implementations with subsequent sectionsFamiliar with Azure and/or APIs but not with API Management? Somewhat familiar with API Management? GOOD !Now explore with me all the flavours of this feature-packed API Management Service.Go from Beginner/Intermediate to EXPERT!To make our APIM Service Implementation and Architecture robust, we'll implement various solutions using other tools and services. So join me to implement API Management and also explore some other related services along the way: App Registrations, OAuth2 Flows and Azure AD (Microsoft Entra ID) for delegated authentication and securityAzure Application Gateway, Front Door, Private Endpoint, VNets, NSGs for APIM Networking GitHub Actions for APIOps ImplementationDocker Containers and AKS (Azure Kubernetes Service) for deploying Self-hosted Gateway Azure Management REST API for Operations e.g. backup, restore & recovery options Azure Key Vault, Managed Identity, Custom Domains, DNS, Blob Storage, VMs etc.Microsoft Azure is fastest growing major Cloud Platform and this API Management offering is one of the most popular and widely used API Management Solution for a variety of IT organizations. I've created this course out of my passion for teaching & technology. Having spent 14 years working in Enterprize Integration and all its flavours (APIs, ETL, EDI, Streaming etc), this service seemed like a good starting point to bring to you some crucial aspects of what I've learnt from project implementations in both Integration and Cloud. I am confident that this practical guide would help tremendously whether your goal is just learning or whether you want to implement the service in your own organization.Happy Learning !!
Overview
Section 1: Course Introduction and Azure Basics
Lecture 1 Course Introduction
Lecture 2 Slide Downloads
Lecture 3 Navigate the course your way
Lecture 4 Udemy Player
Lecture 5 Azure Basics - Regions and Availability Zones
Lecture 6 Azure Resource Hierarchy
Lecture 7 Optimize Cloud Costs
Lecture 8 Sign up to Azure, set up access and budget
Section 2: API Fundamentals
Lecture 9 Definition and Analogy
Lecture 10 API Vs Web Service
Lecture 11 API Types
Lecture 12 API Examples
Lecture 13 Postman Demo and API Terminologies
Lecture 14 HTTP Methods and Idempotence
Lecture 15 HTTP Method Comparison
Lecture 16 HTTP Status Codes
Lecture 17 Understanding REST
Lecture 18 Exploring Google Maps API
Lecture 19 API Lifecycle and Benefits
Lecture 20 Section Summary
Section 3: Getting started with Azure API Management
Lecture 21 Azure APIM Components
Lecture 22 Why to use API Management?
Lecture 23 Create Azure APIM Service
Lecture 24 Import and test our first API
Lecture 25 IMPORTANT UPDATE on Demo Conference
Lecture 26 API Subscriptions and Products
Lecture 27 Explore Products, Operations and Definitions
Lecture 28 Design-first approach with Petstore Swagger Specs
Lecture 29 Mock API Response
Lecture 30 API Revisions
Lecture 31 API Versions (...and how is it different from Revisions?)
Lecture 32 APIM Pricing Tiers
Lecture 33 RBAC - Role Based Access Control
Lecture 34 Managed Identity (System-assigned & User-defined)
Lecture 35 APIM Workspaces
Section 4: Backends, Policy Scopes, Debugging, Caching, Exporting
Lecture 36 Named Values, Key Vault, Backend
Lecture 37 Backend config for Basic Auth
Lecture 38 Add API Manually
Lecture 39 Policies: Scopes and inheritance
Lecture 40 Policies: Coding basics
Lecture 41 Azure CLI, VS Code and Power Shell for APIM
Lecture 42 Importing App Service
Lecture 43 Importing SOAP API
Lecture 44 Importing Azure Functions
Lecture 45 Importing Logic App
Lecture 46 Debugging with Legacy Tracing
Lecture 47 Debugging with Advanced Tracing
Lecture 48 Caching - Internal Cache
Lecture 49 Caching - External Redis Cache with Advanced Caching Policy
Lecture 50 Export APIs
Section 5: API Security and Developer Portal
Lecture 51 Refresher - Understand OAuth2 Flows
Lecture 52 Secure API with JWT using Entra ID (Azure AD)
Lecture 53 Developer Portal - Essential Setup in under 15 minutes !
Lecture 54 Developer Portal - Access Control
Lecture 55 Azure AD as OAuth2 Server for Console
Lecture 56 Azure AD B2C as OAuth2 Server for Console
Lecture 57 External User Sign-up/Sign-In with AD B2C Identity
Lecture 58 Sign-In with Azure AD Identity
Lecture 59 Remove/Mask sensitive information
Lecture 60 Client Certificate Authentication - with Backend & APIM
Lecture 61 Basic Authentication - with Backend & APIM
Lecture 62 CORS in action
Lecture 63 API Defender, Protocols & Ciphers
Section 6: Networking
Lecture 64 Overview - Networking options illustrated
Lecture 65 Deploy to External VNet
Lecture 66 Deploy to Internal VNet
Lecture 67 Integrate Application Gateway with Internal VNet
Lecture 68 DDoS Protection for APIM
Lecture 69 Private Endpoint for VNet Connectivity
Lecture 70 Configure Azure Front Door
Lecture 71 Section Cleanup
Section 7: APIOps - DevOps for APIs
Lecture 72 APIOps Overview - Scenarios, Architecture & Prerequisites
Lecture 73 Initial Pipeline Setup for GitHub
Lecture 74 Extractor Tool
Lecture 75 Publisher Tool
Lecture 76 Environment Config - Named Values & Secrets
Lecture 77 Environment Config - Backends
Lecture 78 Environment Config - Loggers
Lecture 79 Environment Config - APIs & Diagnostics
Lecture 80 Extractor Config : Extract Specific APIs
Lecture 81 APIOps Approach for Multiple Teams
Lecture 82 APIOPs for Code-first Scenario using IDE (VSCode)
Lecture 83 Section Cleanup
Section 8: Deployment and Operations
Lecture 84 Capacity and Auto-Scaling
Lecture 85 Platform Releases and Updates
Lecture 86 Resiliency
Lecture 87 Zone Redundancy, Multi-region Deployment, Autoscaling
Lecture 88 Disaster Recovery (DR)
Lecture 89 Postman Collection Download
Lecture 90 Azure REST API
Lecture 91 Backup APIM Service
Lecture 92 Restore APIM Service
Lecture 93 Recover deleted service, Compute Platforms
Lecture 94 Backend multi-region failover
Lecture 95 Custom Domain
Lecture 96 Section Cleanup
Section 9: Self-hosted Gateway using Kubernetes
Lecture 97 Overview: Self-hosted Gateway
Lecture 98 Container and Kubernetes: Refresher
Lecture 99 Run Web Server using Docker: Refresher
Lecture 100 Deploy Gateway to Azure Kubernetes Cluster (AKS)
Lecture 101 Onboard and test APIs
Lecture 102 Support and Shared Responsibilities
Lecture 103 Section Cleanup
Section 10: Logging and Monitoring
Lecture 104 Query APIM Logs (KQL)
Lecture 105 Log Analytics Workspace
Lecture 106 Application Insights
Lecture 107 APIM Analytics and Metrics
Lecture 108 Alerts
Lecture 109 Workbooks
Lecture 110 Azure Monitor
Section 11: Congratulations
Lecture 111 Congratulations !
Lecture 112 Submit Feedback
Section 12: Appendix
Lecture 113 Important Note
Lecture 114 Copilot: Microsoft's AI Assistant
Anyone wanting to broaden their technical horizons,Beginners curious about knowing Cloud, APIs or API Management,Software Engineers, Integration Consultants and Technical Leads,Solutions and Enterprize Architects
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Mastering Social Media Management And Marketing



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 534.03 MB | Duration: 1h 19m

Equip Yourself with the Skills, Strategies and Tools to become an Effective Social Media Manager and Marketer


What you'll learn
Learn about major social media platforms and their audiences.
Formulate a social media strategy aligned with business goals
Learn when and how to begin automating your social media management
Have an organized and systematic approach to your social media marketing
Understand how to analyse your performance and make adjustments to your strategy
Go from beginner in social media to social media manager, ready to take on any client!
Requirements
No previous knowledge required
A computer or smartphone with internet connection
Join with an open mind to learn amazing stuff!
Description
Are you ready to take your social media skills to the next level and become a sought-after social media manager or marketer? Unlock the secrets to mastering social media with our comprehensive course designed for beginners and new social media managers!In "MASTERING SOCIAL MEDIA MANAGEMENT AND MARKETING" you'll dive into the essentials of social media platforms, develop strategic plans, create engaging content, and use advanced tools to streamline your workflow. Our course covers everything from building brand identities to managing communities and finding clients. You'll gain hands-on experience with practical exercises and real-world applications to ensure you're not just learning theory, but also applying it effectively.Imagine being able to craft compelling social media strategies that drive real results, manage and grow vibrant online communities. Our course will equip you with these in-demand skills, boosting your career prospects and helping you achieve your goals. Whether you want to enhance your current role or start fresh in the field, this course will transform you into a confident, skilled social media professional.Don't miss out on this opportunity to transform your social media management and marketing skills. Enroll today and start your journey to becoming a social media expert.Click the link to secure your spotTAKE A STEP IN THE RIGHT DIRECTION WITH YOUR LIFE AND BUSINESS TODAY!LEARN HOW SOCIAL MEDIA MARKETING WILL MAKE YOUR BRAND A HOUSEHOLD NAME!ENROLL NOW!SKILLS YOU'LL LEARNGain practical social media marketing skills to land and start a job with confidence:Social media marketing strategySocial media analysisContent creation for different brandsCreating social media calendarDriving user-generated content (UGC)Creating ad copies, captions and CTAsCommunity engagement and managementWHAT WOULD YOU GET FROM THIS COURSELifetime access to 1.5 hours of on-demand contentUdemy certificate to showcase your new skills on LinkedIn or your CVExpert advice and insights from digital marketing professionalsPractical templates that you can reuse in your jobPRACTICAL TEMPLATESAudience Persona TemplateSocial Media Content Calendar TemplateService Proposal Template
Overview
Section 1: Introduction
Lecture 1 What to Expect from This Course
Lecture 2 Mindset
Lecture 3 Income Expectation
Lecture 4 Social Media and Social Media Platforms
Lecture 5 Why Social Media is Important
Section 2: Setting Up Your Social Media Strategy
Lecture 6 Social Media Strategy
Lecture 7 Setting Goals and Objectives
Lecture 8 Understanding Your Audience
Section 3: Branding
Lecture 9 Understanding Client Needs
Lecture 10 Building a Brand Identity
Lecture 11 Crafting a Brand Messaging Strategy
Section 4: Content Creation
Lecture 12 Incorporating Brand Identity into Content Creation
Lecture 13 Designing Engaging Content
Lecture 14 Crafting a Content Calendar
Lecture 15 Types of Content for Different Platforms
Section 5: Tools and Workflow Optimization
Lecture 16 Introduction to Social Media Management Tools
Lecture 17 Optimizing Your Workflow
Lecture 18 Managing Post Frequency and Timing
Section 6: Engagement and Community Management
Lecture 19 Building and Maintaining Engagement
Lecture 20 Building Relationships with Influencers
Lecture 21 Leveraging User-Generated Content
Section 7: Finding and Acquiring Clients
Lecture 22 Strategies for Client Acquisition
Lecture 23 Crafting a Compelling Service Proposal
Lecture 24 Building a Strong Online Presence
People who want to become a social media manager and marketer,People who want to work as a freelancer in digital marketing niche,Existing freelancers who want to learn social media to enhance their skill set,Business owners wanting to improve their own social media knowledge and grow their business online
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Mastering Influence: Persuade When Facts Don't Matter



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 762.83 MB | Duration: 2h 18m

Unlock the Secrets of Persuasion: Influence with Confidence and Impact


What you'll learn
Understand the psychology behind decision-making and how emotions, biases, and perceptions influence people's choices.
Develop practical strategies to craft persuasive messages that resonate with any audience, even when facts alone fall short.
Build trust and credibility to strengthen your influence and inspire action in both personal and professional settings.
Learn techniques to overcome objections, navigate tough conversations, and adapt your approach for different scenarios.
Requirements
No prior experience or knowledge is required-this course is designed for learners of all levels.
A willingness to learn and apply new communication and persuasion techniques.
Access to a computer or mobile device with an internet connection for completing the course.
An open mind and a desire to improve personal and professional influence skills.
Description
In today's fast-paced and emotionally charged world, facts alone are rarely enough to convince others. Whether you're a leader trying to motivate your team, an entrepreneur pitching your ideas, or simply navigating challenging conversations, the ability to persuade with confidence and impact is a skill that can transform your personal and professional life."Mastering Influence: Persuade When Facts Don't Matter" is your comprehensive guide to understanding and leveraging the art of persuasion. This course goes beyond the basics, diving into the psychology behind decision-making, the power of storytelling, and actionable strategies to influence even the most skeptical audiences.Through engaging lectures, real-world case studies, and hands-on activities, you'll discover how to build trust, establish credibility, and tailor your approach to resonate with diverse audiences. You'll learn how to decode emotional responses, overcome objections, and craft compelling messages that inspire action.What You'll LearnThe science behind decision-making and why emotions often trump facts.How to identify and work around cognitive biases to strengthen your message.Practical tools to build trust and credibility with any audience.Techniques for storytelling, framing, and using analogies to make complex ideas relatable.Strategies to handle resistance, navigate tough conversations, and maintain composure under pressure.This course is ideal for anyone seeking to improve their communication skills, from aspiring leaders and professionals to entrepreneurs and change-makers. No prior experience is required-just a desire to grow and make your voice heard.By the end of this course, you'll have the confidence and skills to influence with integrity and achieve your goals, no matter the setting. Enroll now and start transforming the way you communicate today!
Overview
Section 1: Introduction to the Power of Persuasion
Lecture 1 Welcome to the Course
Lecture 2 Meet Your Instructor
Lecture 3 Why Facts Aren't Enough
Lecture 4 Reflection Lecture: Applying the Foundations of Influence
Section 2: The Psychology of Decision-Making
Lecture 5 How Emotions Drive Decisions
Lecture 6 Understanding Cognitive Biases
Lecture 7 Building Trust and Credibility
Lecture 8 Reflection Lecture: The Power of Psychology in Influence
Section 3: Crafting Compelling Messages
Lecture 9 The Power of Storytelling in Persuasion
Lecture 10 Framing Your Message
Lecture 11 Balancing Emotion and Logic
Lecture 12 Reflection Lecture: Applying the Art of Persuasion
Section 4: Overcoming Objections and Handling Difficult Conversations
Lecture 13 Understanding Objections
Lecture 14 Strategies for Addressing Objections
Lecture 15 Navigating Difficult Conversations
Lecture 16 Reflection Lecture: Turning Resistance into Results
Section 5: Leading with Confidence and Creating Alignment
Lecture 17 Speak with Conviction
Lecture 18 Using Trust to Bridge Gaps
Lecture 19 Creating Alignment Around Shared Goals
Lecture 20 Reflection Lecture: Your Leadership Growth Plan
Section 6: Applying Persuasion Skills in Everyday Life
Lecture 21 Everyday Persuasion-Personal Interactions
Lecture 22 Everyday Persuasion-Professional Scenarios
Lecture 23 Everyday Persuasion-Social and Community Settings
Lecture 24 Reflection Lecture: Your Persuasion Action Plan
Section 7: Mastering Persuasion for Lifelong Impact
Lecture 25 Integrating Persuasion Skills into Daily Life
Lecture 26 Adapting Persuasion Techniques to Different Situations
Lecture 27 Building a Framework for Continuous Growth
Lecture 28 Reflection Lecture: Your Persuasion Journey
Leaders and managers who want to inspire and influence their teams effectively.,Entrepreneurs and professionals looking to pitch ideas and gain buy-in from clients, stakeholders, or investors.,Individuals in sales, marketing, or public speaking roles seeking to improve their persuasive communication skills.,Anyone interested in understanding how to navigate emotionally charged conversations and influence decisions.,Beginners curious about the art of persuasion and looking to develop essential communication strategies.
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Mastering Business Communication



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 377.81 MB | Duration: 1h 3m

Speaking with Confidence and Impact


What you'll learn
Understand the fundamentals of effective business communication.
Craft professional emails, reports, and proposals with clarity and impact.
Speak confidently and persuasively in meetings, presentations, and negotiations.
Use non-verbal communication to project confidence and enhance your message.
Requirements
No prior experience is required; this course is suitable for all skill levels. Students need basic English proficiency, internet access, and a willingness to practice and improve their communication skills.
Description
Effective Communication for Business This course will help you learn best practices for speaking professionally, connecting with others, and achieving your objectives. Effective business communication is the foundation for all efforts, whether you are writing emails, giving presentations, or negotiating deals, and in today's world of work, it is the skill that underpins your success.It begins with the basics of communication, understanding barriers, and adapting different messages to receivers. It focuses on writing and shows you how to prepare compact, powerful emails, reports, and proposals that get through to your audience.) You will also learn how to communicate verbally with confidence during meetings, presentations, and negotiations.Nonverbal communication is another big area of focus here. You will learn to use body language, eye contact, and movements to emphasize what you are communicating. Higher-level modules on topics like persuasion, negotiation, and cross-cultural communication mean that you are equipped to handle any professional situation.With concrete cases and exercises, along with actionable assignments, you will learn how to shape up and polish your rhythm of communication. At the end of this course, you will feel equipped to communicate effectively in any business situation, which will help you develop healthier relationships and obtain results. Whether you are a professional, entrepreneur, or student, this course will change how you connect, lead, and succeed.
Overview
Section 1: Introduction
Lecture 1 Welcome to Course
Section 2: Introduction to Business Communication
Lecture 2 Introduction, Basics of Communication and Barriers to Effective Communication
Section 3: Written Communication
Lecture 3 Effective Speaking and Delivering Impactful Presentations
Section 4: Verbal Communication & Non-Verbal Communication
Lecture 4 Verbal Communication
Lecture 5 Non-Verbal Communication
Section 5: Tailoring Communication to Different Audiences
Lecture 6 Audience Analysis, Communicating within Teams and Stakeholder Communication
Section 6: Overcoming Communication Challenges
Lecture 7 Handling Difficult Conversations & Continuous Improvement in Communication
Section 7: Conclusion
Lecture 8 Recap Of Course
This course is for professionals, managers, entrepreneurs, and anyone looking to improve their communication skills for personal and professional success. It's ideal for individuals at all levels seeking to enhance clarity, confidence, and impact in their interactions.
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Machine Learning For Campaign Management



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.22 GB | Duration: 13h 13m

Transform Marketing Campaigns with Data-Driven Machine Learning Insights


What you'll learn
How to Build Machine Learning Models for Google Ads Campaign Management
Case Study of 360 degree Customer Marketing and Machine Learning to Boost Sales
Case Study for Google Ads Campaign Management
Case Study for Google Ads Campaign Optimization
Case Study for Google Ads Campaign Selection - Facebook Ads, Google Ads
Case Study for Google Ads Campaign Trends Analysis and Compare Benchmarks Ads
Analyze campaign metrics: Interpret ad spends, keyword performance, and conversions using data visualizations
Predict campaign outcomes: Build ML models to forecast campaign performance and impressions
Apply ML algorithms: Use Random Forest and Gradient Boosting for campaign optimization
Perform cohort analysis: Segment and retain customers with marketing cohort and RFM techniques
Optimize revenue: Compare campaigns to maximize ROI and refine budget allocations
Explain model results: Visualize and interpret trends and outcomes of campaign predictions
Boost profits: Create profit models using SMOTE, cost analysis, and machine learning
Identify campaign trends: Leverage historical data to guide future ad strategies
Create data pipelines: Preprocess, engineer features, and scale datasets for ML models.
Build propensity models: Predict purchase likelihood for targeted marketing efforts
Requirements
Basic Knowledge of Python
Fundamentals of Machine Learning
Description
In the age of data-driven marketing, campaigns thrive on insights and intelligent optimization. This course, Machine Learning for Campaign Management, is designed to empower marketers, data analysts, and aspiring data scientists with the tools and techniques to transform marketing campaigns using machine learning. From campaign trend analysis to revenue optimization, this comprehensive course covers every facet of campaign management.Course Highlights:1. Introduction: Understand your campaign's landscape with an in-depth analysis of Google Ad spends, top-performing keywords, and campaign trends. Learn how to visualize campaign spend results effectively.2. Campaign Prediction Using Machine Learning: Discover the power of predictive models. Learn how to preprocess datasets, build ensemble models, and execute campaign pipelines to anticipate campaign performance and optimize conversion rates.3. Campaign Trend Analysis: Identify and analyze emerging campaign trends. Gain hands-on experience building and visualizing trend models to make informed decisions.4. Campaign Comparison - Revenue Optimization: Master comparative analysis techniques to forecast budget vs. conversion rates and visualize benchmarks to optimize revenue across multiple campaigns.5. Campaign Impression Prediction: Dive deep into data pipelines and build machine learning models using Random Forest and Gradient Boosting to predict impressions for platforms like Instagram, Google, and Facebook.6. Click Prediction Using Random Forest Models: Leverage Random Forest models to predict click rates. Learn to build and execute model pipelines, scale datasets, and deliver actionable insights.7. Marketing Cohort Analysis: Explore cohort analysis to understand customer retention and segmentation. Use advanced techniques like K-Means clustering and RFM (Recency, Frequency, Monetary) scoring to visualize and interpret marketing data.8. Profit Booster Model: Build profit-centric models that incorporate logistic regression, XGBoost, and profit estimation equations. Learn to use SMOTE for handling imbalanced datasets and develop profit curves for enhanced decision-making.9. Propensity Model for Product Purchase: Build propensity models to predict customer purchase behavior and develop targeted marketing strategies.This course blends theoretical knowledge with practical implementations, ensuring that you gain hands-on experience in campaign prediction, optimization, and analysis. By the end of this course, you'll be equipped with the expertise to design data-driven marketing campaigns that achieve maximum profitability and efficiency.Enroll now to transform your approach to campaign management with the power of Machine Learning!
Overview
Section 1: Introduction
Lecture 1 Overview of Company's Google Ad Spends
Lecture 2 Overview of Company's Google Ad Spends Continued
Lecture 3 Analysis of the Trend Campaigns
Lecture 4 Plot Chart for Top Keywords Campaigns
Lecture 5 Plot Chart for Top Ad Spends on Campaigns
Lecture 6 Visualize Campaign Ad Spend Results
Section 2: Campaign Prediction using Machine Learning
Lecture 7 Campaign Prediction Overview
Lecture 8 Why Perform Campaign Optimization
Lecture 9 Overview of Campaign Conversion Prediction
Lecture 10 Import Datasets
Lecture 11 Perform Data Proceprocessing
Lecture 12 Scale the Dataset
Lecture 13 Build Ensemble Model Prediction
Lecture 14 Execute Campaign Model Pipeline
Lecture 15 Build Campaign Performance
Lecture 16 Run the AI Model
Lecture 17 Campaign Performance Part 1
Lecture 18 Campiagn Performance Results Part 2
Lecture 19 Campaign Performance Results Part 3
Lecture 20 Campaign Performance Results Part 4
Section 3: Campaign Trend Analysis
Lecture 21 Campaign Trends Overview
Lecture 22 Build Campaign Trends
Lecture 23 Visualize Campaign Trends
Section 4: Campaigns Comparison - Revenue Optimization
Lecture 24 Overview of Campaign Comparison
Lecture 25 Revenue Optimization for Campaigns
Lecture 26 Budget Vs Conversion Forecasting Part 1
Lecture 27 Budget Vs Conversion Forecasting Part 2
Lecture 28 Budget Vs Conversion Forecasting Part 3
Lecture 29 Campaign Management
Lecture 30 Campaign Management - Visualize Benchmark Vs Campaigns
Section 5: Campaign Impression Prediction
Lecture 31 Import and Visualize Dataset
Lecture 32 Visualize Correlation between dependent and independent variables
Lecture 33 Build Data Pipeline - drop columns from the dataset
Lecture 34 Build Data Pipeline - Create Other buckets
Lecture 35 Build Data Pipeline - One Hot Encoding
Lecture 36 Build Data Pipeline Continued
Lecture 37 Split Pipeline
Lecture 38 Build ML Model - Random Forest
Lecture 39 Build ML Model - Execute and Review Results
Lecture 40 Save the ML Model - create pickle file
Lecture 41 Print Prediction Results
Lecture 42 Linear Vs Random Forest model results
Lecture 43 Gradient Boosting Model
Lecture 44 Gradient Boosting Model Continued
Lecture 45 Make Predictions for Instagram, Google, FaceBook Ads
Section 6: Click Prediction using Random Forest Machine Learning Model
Lecture 46 Overview of the Click Prediction Model
Lecture 47 Build ML Model Data Pipeline
Lecture 48 Train Test Split the dataset
Lecture 49 Scale the dataset
Lecture 50 Scale the dataset Continued
Lecture 51 Build Model Pipeline
Lecture 52 Build Model Pipeline Continued Part 1
Lecture 53 Build Model Pipeline Continued Part 2
Lecture 54 Execute Random Forest Regressor Model
Lecture 55 Create Model Results
Lecture 56 Test Prediction Results
Section 7: Marketing Cohort Analysis
Lecture 57 Overview of Marketing Cohort Analysis
Lecture 58 What is Cohort Analysis?
Lecture 59 Clean Dataset
Lecture 60 Import Dataset
Lecture 61 Visualize Data
Lecture 62 Remove Outliers
Lecture 63 Kde Plot for Distribution of Unit Price
Lecture 64 Cohort Type Lecture
Lecture 65 Plot Retention Rate of the Customer
Lecture 66 Plot Customer Vs Revenue Chart Part 1
Lecture 67 Plot Customer Vs Revenue Chart Part 2
Lecture 68 Create Pareto Chart Continued
Lecture 69 Aggregate Dataset
Lecture 70 K-Means Clustering Algorithm Part 1
Lecture 71 K-Means Clustering Algorithm Part 2
Lecture 72 K-Means Clustering Algorithm Part 3
Lecture 73 K-Means Clustering Algorithm Part 4
Lecture 74 What is Recency, Frequency, Monetary (RFM) Value
Lecture 75 Prepare RFM Table Part 1
Lecture 76 Prepare RFM Table Part 2
Lecture 77 Build RFM Score
Lecture 78 Visualize RFM Matrix
Section 8: Profit Booster Model
Lecture 79 Build Profit Booster Model
Lecture 80 Overview of Profit Booster Model
Lecture 81 Import and Enrich the Dataset
Lecture 82 Filter the Dataset
Lecture 83 Preprocessing of the Dataset
Lecture 84 Implement SMOTE
Lecture 85 Profit Estimation Equation
Lecture 86 Confusion Matrix - Logistic Regression, XGB Model
Lecture 87 Find Cumulative Cost of Errors
Lecture 88 Build Machine Learning Models - DummyClassifier, XGB Models
Lecture 89 Build Profit Curve and Review Results
Section 9: Propensity Model for Product Purchase
Lecture 90 Introduction
Lecture 91 Import Dataset
Lecture 92 Visualize Data
Lecture 93 Feature Selection Lasso-Ridge Regularization
Lecture 94 Feature Selection and Elimination
Lecture 95 Display Selected Features
Lecture 96 Display Selected Features Continued
Lecture 97 Build Model Pipeline
Lecture 98 Build Model Pipeline Continued
Lecture 99 Build Deep learning Model
Lecture 100 Voting Classifier
Lecture 101 Implement Voting Classifier
Lecture 102 Model Predictions
Beginner Python developer who are ready to Build Machine Learning Apps,Digital Marketers seeking to enhance campaign performance through data-driven insights and predictive modeling,Marketing Analysts who want to leverage machine learning to analyze campaign trends and optimize revenue strategies,Data Scientists interested in applying advanced ML techniques to solve real-world marketing challenges,Business Professionals aiming to improve ad spend efficiency, customer retention, and revenue generation,Students and Beginners exploring how machine learning applies to marketing and campaign management,Entrepreneurs and Small Business Owners looking to optimize their marketing efforts for better ROI
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Machine Learning Course For Absolute Beginners by Ankit Srivastava



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.00 GB | Duration: 8h 50m

Unlock the power of Machine Learning! Learn supervised, unsupervised and reinforcement learning with hands-on examples


What you'll learn
Supervised Machine Learning Algorithms and examples
Unsupervised Machine Learning Algorithms and examples
Reinforcement Algorithms and examples
Requirements
Basic understanding of Python Programming Language
Description
Are you curious about Machine Learning but have no prior experience? This course is perfect for you! Designed specifically for beginners, we break down the complexities of Machine Learning into simple, easy-to-understand concepts.Through real-world examples and practical exercises, you'll explore the foundations of supervised learning, unsupervised learning, and reinforcement learning. Whether you're a student, a professional looking to upskill, or simply a tech enthusiast, this course will provide you with the skills to kickstart your Machine Learning journey.Learn how to perform Exploratory Data Analysis with Python - Pandas, Seaborn, Matplotlib etc. after performing EDA learn how to apply ML algorithms on the datasets, create models and evaluate them.Supervised Learning:Understand how algorithms learn from labeled data to make predictions.Explore linear regression, logistic regression, decision trees, and more.Hands-on example: Predicting house prices, Titanic Survival prediction, etc..Unsupervised Learning:Learn to uncover hidden patterns in data without predefined labels.Topics include clustering.Hands-on example: Customer segmentation for marketing.Reinforcement Learningiscover how agents learn to make decisions through rewards and penalties.Key concepts: Q-learning.Hands-on example.Key FeaturesBeginner-friendly, no ML knowledge required.Step by step tutorials on installing required IDEs and libraries.Step-by-step coding demonstrations in Python.Downloadable resources and cheat sheets for quick reference.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 What is Machine Learning - Theory
Lecture 3 Supervised Machine Learning - Classification - Theory
Lecture 4 Regression in Machine Learning - Theory and Maths
Lecture 5 What is Unsupervised Machine Learning - Theory
Lecture 6 Reinforcement Machine Learning - Theory
Section 2: IDE Installation and Usage
Lecture 7 How to install Python with System Environmental Variables for Data Science
Lecture 8 How Install Anaconda Navigator for Data Science and use it
Lecture 9 How to install Jupyter Notebook in computer for Data Analytics and Machine Learn
Lecture 10 How to use Google Colab for Data Analysis and Machine Learning with Python
Section 3: Exploratory Data Analysis with Example
Lecture 11 Exploratory Data Analysis on Titanic - Part 1 - Univariate Analysis
Lecture 12 Exploratory Data Analysis on Titanic - Part 2- Biivariate Analysis
Section 4: Regression Examples Using Python
Lecture 13 Linear Regression on One Variable Example
Lecture 14 Multiple Linear Regression Example
Lecture 15 What is Logistic Regression in Machine Learning - theory
Lecture 16 Logistic Regression on Study Hours vs Pass Fail Data
Section 5: Support Vector Machine Theory and Classification Example
Lecture 17 Support Vector Machine Algorithm - Theory
Lecture 18 Support Vector Machine Algorithm IRIS Data Classification using Python
Section 6: Random Forest Algorithm
Lecture 19 Random Forest Algorithm - Theory
Lecture 20 Random Forest Algorithm Example Using Python
Section 7: Decision Tree Algorithm
Lecture 21 Decision Tree Algorithm Theory
Lecture 22 Decision Tree Algorithm implementation with Python on Titanic Dataset
Section 8: Unsupervised Machine Learning - Example
Lecture 23 K Means Clustering Algorithm Part 1 - Theory ( Unsupervised)
Lecture 24 K means clustering algorithm example using Python - Part 2
Section 9: Q Learning Algorithm - Reinforcement Learning
Lecture 25 What is Q Learning Algorithm in Reinforcement Learning - Theory
Lecture 26 Q Learning Using Python Gym Module - Part 1
Lecture 27 Solving Problem Without Reinforcement Learning
Lecture 28 Applying Q Learning on Taxi V3 Environment - Using Python
Beginner Python Developers Curious about Machine Learning
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