PROFESSIONAL DIPLOMA IN DATA ANALYTICS

MODULE 1

Mathematics for Data Analysis

• Fundamentals of Statistics
• Types of Data & Data Measurement Scales
• Descriptive Statistics (Mean, Median, Mode, Variance, Standard Deviation)
• Probability Concepts
• Probability Distributions
• Correlation & Covariance
• Introduction to Linear Algebra for Data Analysis
• Hypothesis Testing Basics
• Data Interpretation & Decision Making

MODULE 2

Python for Data Analysis

• Introduction to Python & Data Analytics Environment
• Python Basics (Variables, Data Types, Operators)
• Control Structures & Functions
• NumPy for Numerical Computing
• Pandas for Data Manipulation & Analysis
• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Data Visualization using Matplotlib & Seaborn
• Working with Real-World Datasets

MODULE 3

Excel for Data Analysis

• Advanced Excel Functions & Formulas
• Data Cleaning & Formatting Techniques
• Pivot Tables & Pivot Charts
• Conditional Formatting
• Data Validation
• Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)
• Dashboard Creation & Reporting
• Business Data Analysis using Excel

MODULE 4

SQL for Data Analysis

• Introduction to Databases & SQL
• Database Design Basics
• SQL Queries (SELECT, WHERE, ORDER BY)
• Aggregate Functions
• Joins (Inner, Left, Right, Full)
• Subqueries & Views
• Data Filtering & Grouping
• Performance Optimization Concepts
• SQL for Business Analysis

MODULE 5

Power BI

• Introduction to Business Intelligence
• Power BI Desktop Interface
• Data Import & Transformation (Power Query)
• Data Modeling & Relationships
• DAX Basics
• Interactive Dashboards & Reports
• Data Visualization Best Practices
• Publishing & Sharing Reports

MODULE 6

Capstone Projects

• End-to-End Data Analytics Project
• Data Collection & Cleaning
• Data Analysis & Visualization
• Dashboard Development
• Business Insights & Recommendations
• Project Presentation & Documentation

COURSE OUTCOMES

Upon completion of the program, learners will be able to:

• Apply statistical and mathematical concepts to data analysis
• Perform data analysis using Python, Excel, SQL, and Power BI
• Build professional dashboards and reports
• Translate data into actionable business insights
• Work on real-world data analytics projects

CORPORATE SKILL ALIGNMENT

• Data-Driven Decision Making
• Analytical Thinking & Problem Solving
• Business Intelligence & Reporting
• Industry-Relevant Tools & Technologies