This program provides learners with the skills to analyze, visualize, and interpret data for decision-making. The first month focuses on theoretical concepts, while the second month is dedicated to industry-level projects with mentor guidance.
What Will You Learn?
✅ Fundamentals of Data Analytics & Business Intelligence
✅ Data Collection, Cleaning, and Preprocessing
✅ Exploratory Data Analysis (EDA)
✅ Data Visualization & Storytelling with Power BI & Tableau
✅ SQL for Data Analysis
✅ Python & Pandas for Data Manipulation
✅ Statistical Analysis & Forecasting
✅ Hands-on Industry Projects
Material Includes
📚 LMS Access for Self-paced Learning
📜 2 Industry-recognized Certificates
📂 Real-world Data Analytics Projects
📝 Weekly Assignments
Course Curriculum
Month 1: Theory & Concepts (Monday – Friday Classes)
Module 1: Introduction to Data Analytics
What is Data Analytics?
AICTE & NSDC Guidelines for Data Analytics Training
Data Analytics vs. Data Science vs. Business Intelligence
Module 2: Data Collection & Cleaning
Structured & Unstructured Data Sources
Data Cleaning Techniques using Python & SQL
Handling Missing Data & Duplicates
Module 3: Exploratory Data Analysis (EDA) & Statistical Analysis
Descriptive & Inferential Statistics
Hypothesis Testing & Probability Distribution
Correlation & Regression Analysis
Module 4: SQL for Data Analytics
Writing SQL Queries for Data Extraction
Joins, Subqueries, and Aggregations
Creating Views & Stored Procedures
Module 5: Data Visualization & Storytelling
Power BI & Tableau for Interactive Dashboards
Data Storytelling Techniques
Creating Business Reports & KPI Dashboards
Module 6: Python for Data Analysis
Introduction to Python & Pandas
Data Manipulation & Feature Engineering
Automating Data Cleaning & Analysis
Module 7: Predictive Analytics & Forecasting
Time Series Analysis & Forecasting
Business Use Cases of Predictive Models
Introduction to Machine Learning for Data Analytics
Module 8: Industry Best Practices & Model Deployment
Industry Case Studies & Applications
Deploying Data Analytics Models on Cloud
Resume Building & Interview Preparation
Month 2: Industry-Level Project (Mentor-Guided)
Project 1: Sales Data Analysis & Forecasting
Analyzing Sales Trends & Customer Behavior
Predicting Future Sales Using Time Series Analysis
Project 2: Customer Segmentation for a Retail Business
Implementing Clustering Techniques for Customer Insights
