Mastering Power Bi And Gen Ai Integration For Analytics
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.80 GB | Duration: 3h 10m

Unlock powerful insights and drive data-driven decisions with Power BI and Generative AI integration.

[b]What you'll learn[/b]

Integrate Gen AI with Power BI: Learn how to seamlessly integrate Generative AI tools with Power BI for enhanced analytics.

Data Visualization Mastery: Develop skills to create compelling and insightful visualizations using Power BI.

Automate Data Analysis: Understand how to automate data analysis and reporting using Power BI and AI techniques.

Advanced Analytical Techniques: Explore advanced analytical methods and how to apply them in Power BI for deeper insights.

[b]Requirements[/b]

Basic Knowledge of Power BI: Familiarity with the basics of Power BI, including data loading and basic visualization.

Understanding of Data Analysis: A basic understanding of data analysis concepts and practices.

Access to Power BI: Access to Power BI Desktop or Power BI service for hands-on practice.

Interest in AI: A keen interest in learning how AI can enhance data analytics.

[b]Description[/b]

Welcome to "Mastering Power BI and Gen AI Integration for Analytics"! This course is designed to take your data analytics skills to the next level by integrating the robust capabilities of Power BI with the cutting-edge potential of Generative AI. Whether you're a beginner looking to get started or a seasoned professional aiming to enhance your analytics toolkit, this course has something for everyone.In this course, you will:Master Power BI Fundamentals: Learn to navigate the Power BI interface, create compelling visualizations, and develop interactive dashboards that provide deep insights into your data.Integrate Generative AI: Understand the principles of Generative AI and how it can be harnessed to enhance your data analytics, providing you with predictive insights and advanced data manipulation capabilities.Real-world Applications: Apply what you've learned through practical projects and real-world scenarios that mimic the challenges faced in today's data-driven world.Optimize Data Workflows: Learn to automate and streamline your data processing tasks, making your workflows more efficient and effective.Advanced Analytics Techniques: Dive into advanced concepts such as machine learning integration, natural language processing, and automated report generation.By the end of this course, you'll have the knowledge and skills to harness the full potential of Power BI and Generative AI, enabling you to make smarter, data-driven decisions and stand out in your field. Join us on this journey and transform your data analytics capabilities today!Enrol now and unlock the future of data analytics with Power BI and Generative AI!

Overview

Section 1: Getting Started with Power BI

Lecture 1 Power BI Overview and Setup

Lecture 2 Installing Power BI Desktop

Lecture 3 Your First Visualization: Column Charts

Section 2: Building Basic Visualizations

Lecture 4 Creating Stacked Bar Charts

Lecture 5 Pie and Donut Charts

Lecture 6 Funnel, Ribbon Charts, and Exporting Visuals

Section 3: Mapping Your Data

Lecture 7 Introduction to Map Visualizations

Lecture 8 Advanced Map Customization

Lecture 9 Filled Maps and Maps with Data Labels

Section 4: Mastering Map Visualizations

Lecture 10 Formatting Maps for Impact

Lecture 11 Background Maps and Advanced Features

Lecture 12 Real-World Example: COVID-19 Data Visualization

Section 5: Tables and Matrices for Detailed Insights

Lecture 13 Creating and Formatting Tables

Lecture 14 Conditional Formatting and Matrix Basics

Lecture 15 Advanced Matrix Techniques and Number Formatting

Section 6: Key Performance Indicators (KPIs) with Cards

Lecture 16 Number and Text Cards

Lecture 17 Date Cards and Multi-Row Cards

Lecture 18 Enhancing Cards with Filters and Formatting

Section 7: Advanced Card and Slicer Techniques

Lecture 19 Best Practices for Effective Cards

Lecture 20 Using Text Slicers to Filter Data

Lecture 21 Formatting Text and Date Slicers

Section 8: Building Interactive Dashboards with Slicers

Lecture 22 Advanced Date and Number Slicer Techniques

Lecture 23 Creating a Basic Sales Dashboard

Lecture 24 Building a Comprehensive Sales Summary Dashboard

Section 9: Designing Effective Dashboards

Lecture 25 Enhancing Dashboards with Text Slicers

Lecture 26 Advanced Slicer Interactions

Lecture 27 Creating a Detailed Superstore Sales Dashboard

Section 10: Data Transformation with Power Query

Lecture 28 Deep Dive into Sales Summary Dashboard

Lecture 29 Introduction to Data Transformation

Lecture 30 Navigating the Power Query Editor

Section 11: Transforming Your Data

Lecture 31 Basic Data Cleaning and Transformation

Lecture 32 Advanced Data Shaping Techniques

Lecture 33 Data Type Conversions and Counting

Section 12: Combining and Shaping Data

Lecture 34 Importing and Transforming Data

Lecture 35 Combining Data Sets

Lecture 36 Joining Tables Efficiently

Section 13: Data Refinement and Calculation

Lecture 37 Column and Row Operations

Lecture 38 Text Manipulation Techniques

Lecture 39 Creating Calculations and Aggregations

Section 14: Advanced Data Modeling and Preparation

Lecture 40 Complex Calculations in Power Query

Lecture 41 Data Preparation Best Practices

Section 15: Mastering Data Transformation

Lecture 42 Comprehensive Data Transformation Workflow

Lecture 43 Conditional Columns and Row Filtering

Lecture 44 Indexing and Column Management

Section 16: Building a Strong Data Model

Lecture 45 Advanced Indexing and Column Optimization

Lecture 46 Creating a Sales Dashboard from Scratch

Lecture 47 Data Modeling for Effective Visualization

Section 17: Creating Stunning Visualizations

Lecture 48 Advanced Visualization Tips and Tricks

Lecture 49 Building a Credit Card Sales Dashboard

Lecture 50 Adding Navigation to Your Reports

Section 18: Finalizing Your Power BI Project

Lecture 51 Creating a Polished and Professional Dashboard

Data Analysts: Analysts who want to leverage AI to enhance their data analysis capabilities.,Business Intelligence Professionals: BI professionals looking to integrate advanced AI techniques into their workflows.,Developers and IT Professionals: Developers interested in expanding their skills in data analytics and AI integration.,Business Managers: Managers looking to gain deeper insights from their data through advanced analytics techniques.