
Data Analytics Fundamentals
- 4 Sections
- 34 Lessons
- 0m Duration
Module 1 - Introduction to Data Analytics
Module 2 - Week2: Excel for Data Analysis
Module 3: Week 3 - Data Visualization and Story Telling with Power BI
- Introduction to Microsoft Power BI
- Power BI Components: The Complete Ecosystem
- Data Sources in Power BI: Where Your Data Lives
- How to Choose the Right Data Source
- Power BI Licensing: What You Need to Know
- Importing and Cleaning Data in PowerBi
- Data Visualization and Story Telling in PowerBi
- Introduction to Data modeling and its implementations in PowerBi.
- Implementing Data Modeling in Power BI
- Common Data Modeling Challenges and Solutions
Module 4: Week 4 - SQL for Data Analysis
- What are SQL Databases and their Relational data concepts
- Key Relational Database Concepts
- Normalization, Database Schema, SQL Database Management Systems (DBMS)
- Advantages of Relational Databases, Real-World Applications, Database Design Best Practices, Common Database Challenges and Solutions
- Creating an SQL Database, Creating and Importing of Tables, Retrieving data from SQL Database.
- Introduction To Data Query in SQL
- Introduction To Data Query in SQL - Page 2
- SQL Joins and Unions
- Select Statements, Where Clause and Filtering in SQL
- SQL CTE’s and Aggregate Functions
- What are Subqueries ?
- Common Subquery Patterns, Subqueries vs Other Approaches, Real-World Business Examples
- Step-by-Step Subquery Writing Process / Common Mistakes and How to Avoid Them / Performance Tips for Subqueries / Practice Exercises
- SQL Subqueries
Transform Raw Data into Career Opportunities
Are you ready to unlock the power of data and launch a lucrative career in one of today's most in-demand fields? Our comprehensive 4-week Data Analytics Bootcamp is designed to take you from complete beginner to job-ready analyst—completely free of charge.
Course Overview
This intensive bootcamp covers the essential tools and techniques that every data analyst needs to succeed in today's data-driven economy. You'll gain hands-on experience with industry-standard software including Microsoft Excel, Power BI, and SQL, while learning to think analytically and communicate insights effectively.
What You'll Master
Week 1: Data Analytics Foundations
- Understanding the complete data lifecycle from collection to decision-making
- Exploring the four types of analytics: Descriptive, Diagnostic, Predictive, and Prescriptive
- Getting started with Excel for data analysis
Week 2: Excel for Data Analysis
- Advanced data manipulation through sorting, filtering, and conditional formatting
- Mastering functions and formulas for complex calculations
- Creating dynamic pivot tables, slicers, and pivot charts
- Data cleaning techniques to prepare messy datasets
- Building professional dashboards that tell compelling stories
Week 3: Data Visualization with Power BI
- Understanding Power BI components and connecting to various data sources
- Importing and cleaning data within the Power BI environment
- Creating stunning visualizations that communicate insights clearly
- Introduction to data modeling principles and implementation
- Crafting data stories that drive business decisions
Week 4: SQL for Data Analysis
- Understanding relational databases and SQL fundamentals
- Creating databases, tables, and retrieving data efficiently
- Mastering SQL joins, unions, and complex queries
- Using SELECT statements, WHERE clauses, and advanced filtering
- Working with CTEs, aggregate functions, and subqueries for sophisticated analysis
Learning Outcomes
By the end of this bootcamp, you'll be able to:
- Navigate the complete data analytics workflow with confidence
- Clean, analyze, and visualize data using Excel, Power BI, and SQL
- Create professional dashboards and reports that inform business strategy
- Query databases to extract meaningful insights
- Present data findings in compelling, actionable formats
- Build a portfolio of real-world projects to showcase your skills
Who Should Enroll
This bootcamp is perfect for:
- Recent graduates looking to enter the data field
- Career changers seeking high-demand, well-paying opportunities
- Business professionals wanting to enhance their analytical skills
- Anyone curious about turning data into insights
Course Format
- Duration: 4 weeks of intensive training
- Format: Online with interactive sessions and hands-on projects
- Time Commitment: Flexible schedule designed for working professionals
- Cost: Completely free to learn—no hidden fees or charges
- Certificate: Payment only Upon successful completion of learning
Why Data Analytics?
Data analysts are among the most sought-after professionals across industries, from healthcare and finance to marketing and technology. With businesses generating more data than ever before, skilled analysts who can transform numbers into actionable insights command competitive salaries and enjoy diverse career paths.
Prerequisites
No prior experience required! We welcome complete beginners who are:
- Passionate about problem-solving and working with data
- Committed to completing the full 4-week program
- Ready to invest time in hands-on practice and projects
Ready to start your data analytics journey? Applications are now open for our next cohort. Join thousands of successful graduates who have transformed their careers through the power of data.
Limited seats available. Apply today to secure your spot in this life-changing program.