Data Science & Analytics - 2 Months with Live Project
Data Science & Analytics - 2 Months ₹899. Customer Segmentation & Forecasting.
Course Description
Program Modules
W1: Advanced Python for Data
Advanced Pandas, NumPy, and data structures
W2: Statistical Analysis
Descriptive stats, hypothesis testing, and regression
W3: Machine Learning Basics
Supervised and unsupervised learning algorithms
W4: Customer Segmentation
Clustering algorithms and customer profiling
W5: Time Series Analysis
Time series decomposition and forecasting
W6: Project 1 - Customer Segmentation
Build customer segmentation model
W7: Project 2 - Time Series Forecasting
Build time series forecasting model
W8: Deployment
Deploy data science models
Key Features
What You'll Learn
Examination Details
| Exam Name | Full Marks | Pass Marks |
|---|---|---|
| Module-wise Assessment | 100 | 40 |
| Practical Coding Test | 100 | 40 |
| Final Project Evaluation | 100 | 40 |
| Project Viva | 100 | 40 |
Course Information
Prerequisites
- Basic Python knowledge
- Basic statistics understanding
- Computer fundamentals
Who Can Enroll ?
- Students
- IT professionals
- Data scientists
- Business analysts
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