Data Analytics Course Curriculum Overview
This Data Analytics Course Curriculum is designed to take learners from beginner to job-ready analyst.
It covers the complete analytics workflow, including data collection, cleaning, exploration, visualization, statistical analysis, business intelligence tools, and real-world decision-making using data-driven techniques.
Each module includes:
- Core Content
- Practical Task
- Pro Tip
- Learning Outcome
Curriculum
- 9 Sections
- 64 Lessons
- 10 Weeks
- Module 1 – Power BI6
- 1.11.1 Foundations of Data Analytics & Power BI – Fundamentals, Storage Systems, Cloud Computing, and Power BI Overview
- 1.21.2 Power BI Connectivity Modes: Import, Direct Query & Live Connections
- 1.31.3 Power BI Components, Data Transformation & Refreshing Techniques
- 1.41.4 Power BI Data Preparation: File Handling, Query Editor, Cleaning, Date Logic & Optimization
- 1.51.5 Power BI Source Fixing, Data Cleaning & Transformation Techniques
- 1.61.6 Power Query Editor Components, Text & Number Transformations in Power BI
- Module 2 – Advanced Transformations in Power BI4
- Module 3 – SQL Functions, Joins & Data ModelingFunctions10
- Module 4 – Advanced SQL, Automation & Data Management8
- Module 5 – Python for Data Analytics6
- Module 6 – Python Data Handling with NumPy, Pandas & Matplotlib6
- Module 8 – Advanced DAX & Business Calculations11
- 7.1Fact vs Dimension table
- 7.2Star vs Snowflake schema
- 7.3Relationships, cardinality, filter direction
- 7.4Model optimization
- 7.5Row vs Filter context
- 7.6Calculated Columns, Measures, Tables
- 7.7Iterators: SUMX, AVERAGEX
- 7.8Filter functions: CALCULATE, ALL, FILTER
- 7.9Relationship functions: RELATED, USERELATIONSHIP
- 7.10Time Intelligence: YTD, QTD, MTD, PY, PM
- 7.11KPI measures & ranking metrics
- Module 9 – Power BI Visuals, Dashboards & Storytelling6
- Module 10 – Power BI Service, Deployment & Security7
It’s suitable for beginners, analysts, business professionals, and anyone who wants to turn raw data into dashboards and insights. No prior BI experience is needed.
You’ll work with Power BI Desktop, Power Query Editor, DAX formulas, and Power BI Service for publishing and sharing dashboards..
Yes. Many learners come from non-technical fields. The course is structured to guide you step by step..
Recordings and notes will be provided so you can catch up anytime. If you want this version customized for your website, brochure, or landing page, just let me know../p>