Master Power BI & Gen AI Integration for Analytics in 2025

2025 Mastering Power BI and Gen AI Integration for Analytics

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

Created by : Rated :4.3 21 views

Last Updated: 2025-01-28 10:01:51 English Course Type: Self Learning

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.

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!

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.

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.

Section 1 : Getting Started with Power BI 3 Lectures 00:13:28
Lecture 1 :
Power BI Overview and Setup Preview
Lecture 2 :
Installing Power BI Desktop
Lecture 3 :
Your First Visualization: Column Charts
Section 2 : Building Basic Visualizations 3 Lectures 00:14:38
Lecture 1 :
Creating Stacked Bar Charts
Lecture 2 :
Pie and Donut Charts
Lecture 3 :
Funnel, Ribbon Charts, and Exporting Visuals
Section 3 : Mapping Your Data 3 Lectures 00:08:06
Lecture 1 :
Introduction to Map Visualizations
Lecture 2 :
Advanced Map Customization
Lecture 3 :
Filled Maps and Maps with Data Labels
Section 4 : Mastering Map Visualizations 3 Lectures 00:06:25
Lecture 1 :
Formatting Maps for Impact
Lecture 2 :
Background Maps and Advanced Features
Lecture 3 :
Real-World Example: COVID-19 Data Visualization
Section 5 : Tables and Matrices for Detailed Insights 3 Lectures 00:11:46
Lecture 1 :
Creating and Formatting Tables
Lecture 2 :
Conditional Formatting and Matrix Basics
Lecture 3 :
Advanced Matrix Techniques and Number Formatting
Section 6 : Key Performance Indicators (KPIs) with Cards 3 Lectures 00:07:56
Lecture 1 :
Number and Text Cards
Lecture 2 :
Date Cards and Multi-Row Cards
Lecture 3 :
Enhancing Cards with Filters and Formatting
Section 7 : Advanced Card and Slicer Techniques 3 Lectures 00:08:33
Lecture 1 :
Best Practices for Effective Cards
Lecture 2 :
Using Text Slicers to Filter Data
Lecture 3 :
Formatting Text and Date Slicers
Section 8 : Building Interactive Dashboards with Slicers 3 Lectures 00:12:10
Lecture 1 :
Advanced Date and Number Slicer Techniques
Lecture 2 :
Creating a Basic Sales Dashboard
Lecture 3 :
Building a Comprehensive Sales Summary Dashboard
Section 9 : Designing Effective Dashboards 3 Lectures 00:12:07
Lecture 1 :
Enhancing Dashboards with Text Slicers
Lecture 2 :
Advanced Slicer Interactions
Lecture 3 :
Creating a Detailed Superstore Sales Dashboard
Section 10 : Data Transformation with Power Query 3 Lectures 00:17:51
Lecture 1 :
Deep Dive into Sales Summary Dashboard
Lecture 2 :
Introduction to Data Transformation
Lecture 3 :
Navigating the Power Query Editor
Section 11 : Transforming Your Data 3 Lectures 00:11:11
Lecture 1 :
Basic Data Cleaning and Transformation
Lecture 2 :
Advanced Data Shaping Techniques
Lecture 3 :
Data Type Conversions and Counting
Section 12 : Combining and Shaping Data 3 Lectures 00:12:55
Lecture 1 :
Importing and Transforming Data
Lecture 2 :
Combining Data Sets
Lecture 3 :
Joining Tables Efficiently
Section 13 : Data Refinement and Calculation 3 Lectures 00:09:06
Lecture 1 :
Column and Row Operations
Lecture 2 :
Text Manipulation Techniques
Lecture 3 :
Creating Calculations and Aggregations
Section 14 : Advanced Data Modeling and Preparation 2 Lectures 00:07:12
Lecture 1 :
Complex Calculations in Power Query
Lecture 2 :
Data Preparation Best Practices
Section 15 : Mastering Data Transformation 2 Lectures 00:07:47
Lecture 1 :
Conditional Columns and Row Filtering
Lecture 2 :
Indexing and Column Management
Section 16 : Building a Strong Data Model 3 Lectures 00:09:11
Lecture 1 :
Advanced Indexing and Column Optimization
Lecture 2 :
Creating a Sales Dashboard from Scratch
Lecture 3 :
Data Modeling for Effective Visualization
Section 17 : Creating Stunning Visualizations 3 Lectures 00:13:16
Lecture 1 :
Advanced Visualization Tips and Tricks
Lecture 2 :
Building a Credit Card Sales Dashboard
Lecture 3 :
Adding Navigation to Your Reports
Section 18 : Finalizing Your Power BI Project 1 Lectures 00:03:20
Lecture 1 :
Creating a Polished and Professional Dashboard

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AKHIL VYDYULA,

1554 Course Views

16 Courses

Hello, I'm Akhil, a Senior Data Scientist at PwC specializing in the Advisory Consulting practice with a focus on Data and Analytics.

My career journey has provided me with the opportunity to delve into various aspects of data analysis and modelling, particularly within the BFSI sector, where I've managed the full lifecycle of development and execution.

I possess a diverse skill set that includes data wrangling, feature engineering, algorithm development, and model implementation. My expertise lies in leveraging advanced data mining techniques, such as statistical analysis, hypothesis testing, regression analysis, and both unsupervised and supervised machine learning, to uncover valuable insights and drive data-informed decisions. I'm especially passionate about risk identification through decision models, and I've honed my skills in machine learning algorithms, data/text mining, and data visualization to tackle these challenges effectively.

Currently, I am deeply involved in an exciting Amazon cloud project, focusing on the end-to-end development of ETL processes. I write ETL code using PySpark/Spark SQL to extract data from S3 buckets, perform necessary transformations, and execute scripts via EMR services. The processed data is then loaded into Postgres SQL (RDS/Redshift) in full, incremental, and live modes. To streamline operations, I’ve automated this process by setting up jobs in Step Functions, which trigger EMR instances in a specified sequence and provide execution status notifications. These Step Functions are scheduled through EventBridge rules.

Moreover, I've extensively utilized AWS Glue to replicate source data from on-premises systems to raw-layer S3 buckets using AWS DMS services. One of my key strengths is understanding the intricacies of data and applying precise transformations to convert data from multiple tables into key-value pairs. I’ve also optimized stored procedures in Postgres SQL to efficiently perform second-level transformations, joining multiple tables and loading the data into final tables.

I am passionate about harnessing the power of data to generate actionable insights and improve business outcomes. If you share this passion or are interested in collaborating on data-driven projects, I would love to connect. Let’s explore the endless possibilities that data analytics can offer!