Data Analysis With Power BI, Tableau, SQL, and AI

I'm sure you've come across the statement: DATA IS KING. 

And yes, that's true because everything revolves around data. Decisions made everywhere, particularly in organizations, rely on data. 

The skills of analyzing and visualizing data are among the top-rated skills today. Having data analysis and visualization skills sets you apart and equips you with one of the essential skills to succeed in the workplace, business, or even as a freelancer.

This is why we're offering you the opportunity to learn and master these powerful data analysis and visualization tools from the basics.

In this course, you'll learn how to collect, transform, analyze, and visualize data using Power BI, Tableau, SQL, and AI.

This course is designed to suit you, even if you've never used any of these applications before.

Enroll now to secure your place and share with others to join in. 

The duration is 3 weeks. Don't miss out!

COURSE OUTLINE AND SCHEDULE

DAYS 1 - 7: POWER BI

▪️Day 1: Introduction to Power BI, Installing Power BI and the Power BI Window

▪️Day 2: Power BI Data Modeling and Power Query

▪️Day 3: Data Analysis Expression (DAX) and Analyzing Data with Power BI

▪️Day 4: DAX and Power BI Visualization

▪️Day 5: Building Reports and Dashboards with Power BI

▪️Day 6: Power BI Reports and Dashboards (cont'd)

Day 7: Assignment/Project Day (Power BI)

Day 8: Lecture-Free Day (Power BI)

DAYS 9 - 13: TABLEAU 

▪️Day 9: Introduction to Tableau and the Tableau Window

▪️Day 10: Tableau Data Connection and Calculations

▪️Day 11: Tableau Data Analysis and Reporting

▪️Day 12: Building Dashboards and Storytelling

Day 13: Assignment/Project Day (Tableau)

Day 14: Lecture-Free Day

DAYS 15 - 19: SQL 

▪️Day 15: Introduction to SQL, Installation of SQL Server and SSMS

▪️Day 16: Creating and Working with Databases and Data Modeling

▪️Day 17: SQL Commands, Keywords, Clauses, Queries, Subqueries, Data Manipulation (joining and aggregating data)

▪️Day 18: SQL Data Analysis (Answering Practical Questions with Data)

Day 19: Assignment/Project Day (SQL)

Day 20: Lecture-Free Day (SQL)

DAY - 21: AI FOR DATA ANALYSIS & VISUALIZATION 

▪️Day 21: Using AI applications for data analysis and visualization, prompt engineering, and integrating AI into data analysis workflows