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Data Analytics Training
Data Analytics Training
Data Analytics Training
Curriculum
8 Sections
25 Lessons
10 Weeks
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Introduction to Data Analytics
3
1.1
Introduction to Data Analytics
1.2
Data Types & Data Lifecycle
1.3
Applications of Data Analytics in Business & Industry
Python for Data Analysis
3
2.1
Python Basics (Variables, Data Types, Loops, Functions)
2.2
NumPy & Pandas for Data Manipulation
2.3
Data Cleaning & Handling Missing Values
SQL for Data Analytics
4
3.1
Basics of Relational Databases
3.2
SQL Queries: SELECT, JOIN, GROUP BY, HAVING
3.3
Data Filtering, Sorting, and Aggregation
3.4
Hands-on Projects with MySQL/PostgreSQL
Data Visualization
3
4.1
Matplotlib & Seaborn for Python Data Visualization
4.2
Power BI & Tableau Dashboards
4.3
Storytelling with Data
Excel for Data Analytics
3
5.1
Advanced Excel Functions & Pivot Tables
5.2
Data Formatting & Conditional Formatting
5.3
VBA & Macros for Automation
Statistics & Machine Learning Basics
3
6.1
Descriptive & Inferential Statistics
6.2
Linear Regression, Logistic Regression
6.3
Clustering & Classification Techniques
Big Data & Cloud Platforms
3
7.1
Introduction to Big Data & Hadoop
7.2
Working with Google BigQuery & AWS
7.3
Introduction to Data Engineering
Capstone Project & Interview Preparation
3
8.1
Real-World Data Analytics Projects
8.2
Resume Building & Portfolio Development
8.3
Mock Interviews & Placement Assistance
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