🔹 Introduction to Data Analytics
What is Data Analytics?
Importance of Data in Decision Making
Types of Data Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
Career Opportunities in Data Analytics
🔹 Excel for Data Analysis
Data Cleaning & Formatting
Conditional Formatting & Data Validation
Pivot Tables & Charts
Advanced Excel Formulas (VLOOKUP, HLOOKUP, INDEX-MATCH)
🔹 SQL for Data Analysis
Introduction to Databases & SQL
Writing SQL Queries (SELECT, WHERE, GROUP BY, HAVING)
Joins & Subqueries
Aggregate Functions (SUM, AVG, COUNT)
Optimizing SQL Queries
🔹 Python for Data Analytics
Introduction to Python & Jupyter Notebook
Data Types, Lists, Tuples, Dictionaries
Pandas for Data Manipulation
NumPy for Numerical Analysis
Data Visualization with Matplotlib & Seaborn
🔹 Data Cleaning & Preprocessing
Handling Missing Values
Data Transformation & Encoding
Outlier Detection & Handling
Feature Scaling & Normalization
🔹 Data Visualization & Business Insights
Creating Interactive Dashboards
Data Storytelling with Power BI / Tableau
Creating Reports & Business Insights
🔹 Exploratory Data Analysis (EDA)
Identifying Trends & Patterns in Data
Correlation & Regression Analysis
Using Statistical Methods for Decision Making
🔹 Machine Learning Basics (Optional)
Introduction to Machine Learning
Supervised vs Unsupervised Learning
Implementing Simple ML Models (Linear Regression, Decision Trees)
🔹 Final Project & Certification
Real-World Data Analysis Project
Creating a Data Report & Dashboard
