Data Analytics from SQL to Power BI

The “Data Analytics from SQL to Power BI” training course is a comprehensive program designed to equip participants with the knowledge and skills necessary to analyze and visualize data using SQL and Power BI. Over the course of five days, participants will learn essential data analytics concepts, master SQL querying techniques for data retrieval and manipulation, and explore the advanced features of Power BI for data visualization and reporting.

Duration 5 days – 40 hrs

Prerequisite

• Participants must use Windows machine with internet connection.
• No prior knowledge required in SQL and Power BI.
• Must have strong analytical skills.
• Must have basic knowledge in office applications particularly Excel.

Objectives

• Master SQL basics with a focus on MySQL for introductory data analytics, starting from installation to advanced queries, with no prior knowledge required.
• Learn to create, manage, and utilize views in MySQL to simplify complex data analysis tasks.
• Integrate MySQL databases with Power BI, utilizing Power Query for advanced data visualization.
• Apply DAX (Data Analysis Expressions) in Power BI for sophisticated data analytics.
• Understand and apply the principles of effective data modeling in Power BI to enhance data analysis and reporting.
• Explore Power Query and the utilization of parameters in Power BI for automated and optimized data processing.
• Gain proficiency in publishing and sharing interactive Power BI dashboards and reports to support data-driven decision-making.

Audience

This course is designed for:

• Business analysts, particularly those in government sectors related to social welfare and planning, look to leverage data for informed decision-making.
• Professionals from any background with an interest in acquiring data analytics skills.
• Data professionals as well as anyone involved in data-driven decision-making within governmental and non-governmental organizations.

Course Outline

Day 1: Data Analytics and SQL Fundamentals 

1. Understanding Data Analytics
2. Overview of the Data Analytics roadmap
3. The role and importance of data analytics across sectors.
4. Installing MySQL
   1. Step-by-step guide to installing MySQL on various operating systems.
   2. Setting up a MySQL environment: Understanding the MySQL Workbench.
5. SQL Basics
   1. Database concepts: Schemas, tables, rows, and columns.
   2. Writing basic SQL queries: SELECT, INSERT, UPDATE, DELETE.

Day 2: Deep Dive into SQL and MySQL

1. Advanced data retrieval: JOINs, UNIONs, and subqueries.
2. Data aggregation and manipulation: GROUP BY, HAVING, and built-in functions (COUNT, SUM, AVG, MIN, MAX).
3. Managing Views in MySQL
   1. The advantages of using views.
   2. Creating and managing views for data analysis.
4. Introduction to database normalization and table relationships.

Day 3: Starting with Power BI and Data Integration

1. Introduction to Power BI
   1. Overview of Power BI’s ecosystem and components.
   2. Installation of Power BI Desktop
2. Connecting MySQL to Power BI through Power Query.
   1. Data Importing and Transformation
   2. Using Power Query for data cleaning, transformation, and the implementation of parameters for dynamic queries.
3. Building your first data visualization in Power BI.

Day 4: Power BI Modeling and Data Analysis Expression

1. Designing effective data models.
2. Understanding Relationships and Star Schema
3. The importance of Data dimensions in the model
4. Calculating values using DAX
5. Measures vs Calculated Column

Day 5: Publishing Insights and Power BI Best Practices

1. The role of SQL and Power Query in data connection and transformation