Name: The Complete SQL & Power BI Bootcamp: Become a Data Analyst
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Created byKhushbakht Hassan, Rafia Mehmooda

Last updated 4/2026

English

What you'll learn

Master SQL (MySQL) from scratch — learn how to create databases, write complex queries, use joins, subqueries, and window functions to analyze data efficiently.
Build powerful Power BI dashboards — import, clean, and transform data; apply DAX formulas; and design professional, interactive dashboards and reports.
Connect Power BI with MySQL databases to create dynamic, real-time analytics and automate refresh schedules for business-ready insights.
Apply real-world data analysis skills by building a complete E-Commerce Analytics Dashboard, tracking sales, customers, and performance KPIs.
Optimize data workflows using SQL constraints, relationships, and indexing — and implement Row-Level Security, What-If analysis, and alerts in Power BI.

Course content

13 sections • 46 lectures • 5h 47m total length

1. Introduction to SQL & MySQL4:26
2. Understanding SQL Data Types4:41
Identify and apply SQL data types to store numbers, text, and dates, such as int, varchar, and date, to keep tables accurate, organized, and efficient.
3. Essential SQL Commands5:13
4. Major Categories of SQL Commands4:31
Explore the major types of SQL commands—DDL, DML, DQL, DCL, and TCL—and learn how each group defines structure, manipulates data, queries, controls access, and manages transactions.

1. Filtering Records with the WHERE Clause9:19
2. Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)7:51
3. Grouping Data with the GROUP BY Clause7:35
4. Filtering Groups with the HAVING Clause7:50
5. Common HAVING Clause Mistakes to Avoid7:52
Learn common mistakes with the having clause, including using having without group by, mixing where and having, and forgetting aggregate functions; master correct sequence after grouping.
6. Sorting Results Using ORDER BY4:48
7. Limiting Query Results with LIMIT4:33

1. Writing Subqueries in SQL (Beginner Use Cases)6:39
2. Using CASE WHEN for Conditional Logic in SQL8:59
Learn how to use SQL case statements to categorize data, convert codes to meaningful text, and perform conditional calculations like salary bonuses with practical examples.
3. Modifying Tables with ALTER TABLE5:42
Use the alter table command to add columns, modify data types or sizes, rename columns, drop columns, or rename the table itself, as shown with an employee table.

1. Overview: What is Power BI?5:44
Power BI is a Microsoft business analytics and data visualization tool that connects to data sources, transforms data, and visualizes insights with drag-and-drop dashboards and real-time updates.
2. Importing Excel & CSV Data into Power BI5:13
Import data into Power BI from Excel and CSV, load tables, view data in data view, and connect tables by customer ID, with best practices for clean imports.

1. Measures vs Calculated Columns: Key Differences8:23
Explore the difference between measures and calculated columns in Power BI, learn when to use each for dynamic vs fixed results under filters, and apply practical examples and visuals.
2. Essential DAX Functions (SUM, COUNTROWS, DISTINCTCOUNT)8:45
3. Time Intelligence in DAX (YTD, MTD, YoY)15:23
Explore how to implement time intelligence in Power BI by using a dedicated date table to perform YTD and MTD calculations, and compare this year with last year.
4. Creating KPIs with DAX6:41
Build KPI cards in Power BI by creating measures for total sales, total orders, and total customers, and filter them with a product slicer to track performance.

Requirements

No prior experience with SQL or Power BI is required — this course starts from the absolute basics.
A computer (Windows or macOS) with an internet connection.
Willingness to install free tools: MySQL, MySQL Workbench, and Power BI Desktop (setup instructions are provided in the course).
Basic computer skills and a curiosity to learn data analysis and visualization.

Description

The Complete SQL & Power BI Bootcamp: Zero to Data Analyst

Are you ready to build a high-income, job-ready Data Analyst skillset from scratch?
This comprehensive bootcamp takes you from absolute beginner to practical data analyst, using two of the most in-demand tools in the world today: SQL (MySQL) and Power BI.

Whether you’re a student, professional, freelancer, or career-switcher, this course gives you everything you need to analyze data, build dashboards, create insights, and work confidently with real-world datasets.

What You Will Learn:

SQL (MySQL) – From Basics to Advanced

Install MySQL & MySQL Workbench
Create databases, tables & relationships
Perform CRUD operations (SELECT, INSERT, UPDATE, DELETE)
Apply essential SQL constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT)
Filter, group, sort & aggregate data
Use JOINs to combine multiple tables
Write subqueries & CASE statements
Work with advanced SQL features:
- Window functions
- CTEs
- Views
- Indexing for better performance

Power BI – From Beginner to Professional Dashboards

Import data from Excel, CSV & databases
Clean, shape & transform data using Power Query
Create relationships & star schema data models
Write DAX formulas: SUM, DISTINCTCOUNT, KPIs, Time Intelligence
Build interactive dashboards with charts, cards, slicers & maps
Apply design best practices for clean, professional visuals
Use drill-downs, hierarchies & filters

SQL + Power BI Integration:

Combine the power of SQL with the visualization strength of Power BI:

Connect Power BI to your MySQL database
Load SQL tables directly into Power BI
Build end-to-end dashboards using SQL-driven data
Create measures for sales, customers, orders & revenue
Analyze top customers, best-selling products & category performance
Automate data refresh in Power BI Service
Set Row-Level Security (RLS) for user-based access

Final Project: E-Commerce Analytics Dashboard:

By the end of this bootcamp, you will build a complete E-Commerce Analytics Dashboard, featuring:

Total Sales, Orders, Revenue & KPIs
Monthly & Yearly Sales Trends
Best-Selling Products & Top Customers
Category Insights & Performance
Smart filters & user-friendly visuals
Automatic data refresh & publishing to Power BI Service

This real project will boost your portfolio, making you stand out to employers and clients.

Who This Course Is For:

This course is perfect for:

Aspiring Data Analysts
Students & job-seekers
Business professionals who want to understand data
Freelancers looking to add SQL + Power BI to their skillset
Anyone who wants a practical, job-ready path into data analysis

Why This Course Is Different:

Covers both SQL + Power BI in one place
Project-based learning with real-life datasets
Beginner-friendly explanations
Advanced topics included for career readiness
Learn industry best practices, not just theory

By the end of this course, you will be able to:

Write complex SQL queries confidently
Model, clean & analyze data in Power BI
Build interactive dashboards used by real businesses
Share insights, reports & dashboards with teams
Apply for Data Analyst, BI Analyst & Reporting Analyst roles

Who this course is for:

Beginners who want to start a career in data analytics, business intelligence, or database management — no prior experience needed.
Students or recent graduates looking to gain practical, job-ready skills in SQL, MySQL, and Power BI.
Working professionals who want to upgrade their data skills and build dashboards that drive business decisions.
Entrepreneurs and business owners who want to analyze their own sales, customers, or performance data using real-world tools.
Anyone curious about data and eager to learn how to transform raw data into meaningful insights and reports.

What you'll learn

Explore related topics

Course content

Module 1: Getting Started with SQL & MySQL for Beginners4 lectures • 19min

Module 2: MySQL Setup & Querying Essentials – Installation to First Database3 lectures • 22min

Module 3: SQL Constraints Explained: Rules, Keys & Best Practices4 lectures • 28min

Module 4: SQL Filtering & Grouping – Aggregates, ORDER BY & LIMIT7 lectures • 50min

Module 5: Mastering SQL Joins & Table Relationships2 lectures • 19min

Module 6: Aggregations, Subqueries & Conditional Logic in SQL3 lectures • 21min

Module 7: Advanced SQL Made Simple: CTEs, Views & Window Functions4 lectures • 35min

Module 8: Power BI Basics: Desktop, Service & Data Import2 lectures • 11min

Module 9: Cleaning, Transforming & Modeling Data in Power BI3 lectures • 21min

Module 10: DAX Essentials: Measures, Calculated Columns & Time Intelligence4 lectures • 39min

Requirements

Description

Who this course is for: