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COURSE CURRICULUM · 11 MODULES

01Foundations of Data Analytics for Business6 chapters · Beginner⌄

Module 01 overview 1.1Introduction to Data Analytics 1.2Business Problem Solving 1.3Understanding Business Data 1.4KPIs and Business Metrics 1.5Analytics Methodology 1.6Communication Fundamentals

02Advanced Excel & Power Query9 chapters · Beginner to advanced⌄

Module 02 overview 2.1Excel Fundamentals 2.2Advanced Formulas 2.3Dynamic Excel 2.4Data Cleaning 2.5Pivot Analysis 2.6Power Query 2.7Power Pivot 2.8Business Modeling 2.9Excel Dashboards

03Statistics for Business Analytics8 chapters · Intermediate⌄

Module 03 overview 3.1Descriptive Statistics 3.2Probability 3.3Data Distributions 3.4Sampling 3.5Statistical Inference 3.6Hypothesis Testing 3.7Relationships 3.8Experimentation

04MySQL & Advanced SQL Analytics11 chapters · Beginner to advanced⌄

Module 04 overview 4.1Database Fundamentals 4.2Database Design 4.3SQL Fundamentals 4.4SQL Functions 4.5Aggregations 4.6SQL Joins 4.7Advanced Queries 4.8Window Functions 4.9Business SQL 4.10Database Operations 4.11Data Validation

05Python Programming for Data Analytics12 chapters · Beginner to intermediate⌄

Module 05 overview 5.1Python Fundamentals 5.2Programming Logic 5.3Development Practices 5.4NumPy 5.5pandas 5.6Data Cleaning 5.7Data Acquisition 5.8Exploratory Analysis 5.9Python Visualization 5.10Applied Statistics 5.11Introductory Predictive Analytics 5.12Automation

06Power BI & Data Visualization11 chapters · Beginner to advanced⌄

Module 06 overview 6.1Visualization Fundamentals 6.2Power BI Fundamentals 6.3Power Query in Power BI 6.4Data Modeling 6.5DAX Fundamentals 6.6Advanced DAX 6.7Interactive Reports 6.8Business Dashboards 6.9Deployment 6.10Security & Governance 6.11Optimization

07Business Analytics & Decision Science8 chapters · Intermediate⌄

Module 07 overview 7.1Sales Analytics 7.2Marketing Analytics 7.3Customer Analytics 7.4Financial Analytics 7.5Operations Analytics 7.6Product Analytics 7.7Decision Science 7.8Executive Storytelling

08Data Engineering, Integration & Cloud Fundamentals6 chapters · Intermediate⌄

Module 08 overview 8.1Data Architecture 8.2Data Integration 8.3Data Modeling 8.4Pipeline Operations 8.5Cloud Analytics 8.6Version Control

09Data Governance, Quality, Privacy & Controls10 chapters · Intermediate⌄

Module 09 overview 9.1Data Governance Fundamentals 9.2Ownership & Stewardship 9.3Data Quality Management 9.4Data Quality Controls 9.5Metadata Management 9.6Data Lineage 9.7Master & Reference Data 9.8Privacy & Security 9.9Regulatory Awareness 9.10Data Ethics

10Generative AI for Data Analysts6 chapters · Intermediate⌄

Module 10 overview 10.1AI Foundations 10.2Prompt Engineering 10.3AI-Assisted SQL 10.4AI-Assisted Python 10.5AI for BI 10.6Responsible AI

11Industry Capstone & Career Readiness10 chapters · Advanced / Job-ready⌄

Module 11 overview 11.1Project Initiation 11.2Data Acquisition 11.3Data Engineering 11.4Advanced Analysis 11.5Business Intelligence 11.6Quality & Governance 11.7Executive Communication 11.8Portfolio Preparation 11.9Interview Preparation 11.10Career Preparation

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