Data Science & Analytics

14 weeks

Intermediate to Advanced

Master data analysis, visualization, and statistical modeling with Python and modern tools.

₹4,199

₹7,499

Save ₹3,300 (44% OFF)

Learning Outcomes

By course completion, learners will:

Master Python for data analysis

Perform exploratory data analysis

Build predictive models

Create data visualizations and dashboards

Pass technical evaluation

Receive verifiable certification

Course Orientation (Module 0)

Purpose: Establish data science mindset.

Deliverable:

• Python environment setup
• Jupyter notebook configuration
• First data exploration project

Learning Module Template

Each module follows this fixed internal structure:

1. Concept Overview

Problem context, business applications, analytical approach

2. Theory (Minimal but Precise)

Statistical foundations, algorithm mechanics, mathematical intuition

3. Engineering Perspective

Data quality, feature engineering, model selection criteria

4. Hands-On Tasks

Data cleaning, analysis, visualization, model building

5. Mini Assignment

Apply techniques to new datasets, derive insights

6. Review Checklist

Data validation, model evaluation, insight verification

Course Phases

Phase 1

(Week 1-3)

Python & Statistics

Python, NumPy, Pandas, Statistics

Phase 2

(Week 4-6)

Data Analysis

EDA, Data cleaning, Visualization

Phase 3

(Week 7-9)

Machine Learning

ML algorithms, Model building

Phase 4

(Week 10-12)

Big Data & BI

Spark, Hadoop, Tableau, Power BI

Phase 5

(Week 13-14)

Capstone

Real-world data project

Evaluation & Certification

Mandatory components:

Data analysis methodology and insights

Statistical modeling accuracy

Visualization quality and clarity

Code quality and documentation

Project presentation and storytelling

Technical interview and Q&A

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