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Data Science

Data Science

Turn data into insights

Explore data analysis, visualization, and predictive modeling using Python, Pandas, NumPy, and industry-standard tools.

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600+

Students

3.5

Months

12+

Projects

100%

Support

Why Choose This Program

Program Highlights

Comprehensive training designed to make you job-ready with industry-relevant skills and hands-on experience.

Featured

Real-World Data

Work with real datasets from various industries.

Python Ecosystem

Master Python libraries for data analysis.

Portfolio Ready

Built a portfolio of data projects.

Industry Practices

Learn techniques used by data scientists.

What You'll Get

Program Benefits

Unlock your potential with our exclusive program advantages

Data Analysis

4 benefits included
  • Python for Data
  • Pandas
  • Data Cleaning
  • EDA

Data Analysis

  • Python for Data
  • Pandas
  • Data Cleaning
  • EDA

Visualization

  • Matplotlib
  • Seaborn
  • Plotly
  • Dashboards

Statistics

  • Probability
  • Hypothesis Testing
  • Regression
  • Distributions

ML Basics

  • Scikit-learn
  • Classification
  • Clustering
  • Model Evaluation
Your Learning Journey

What You'll Learn

A structured 5-step journey from learning to career placement

1

Course Curriculum

Our course is designed by industry experts for excellent academic and industrial experience.

3.5 Months

Python Foundations for Data Science

Description: Introduction to Python Essentials

Python Programming Essentials

Topics:

  • Introduction to Data Science & Analytics
  • Python Installation & Environment Setup (Anaconda, VS Code, Jupyter Notebook)
  • Variables, Data Types & Operators
  • Conditional Statements (if, else, elif)
  • Loops (for, while)
  • Functions & Scope
  • Lists, Tuples, Dictionaries & Sets
  • Exception Handling
  • File Handling & Data Importing
  • Python Best Practices & Coding Standards

Hands-on:

  • Set up Data Science development environment
  • Build Python mini-projects
  • Work with structured datasets
  • Perform file handling operations
  • Solve analytical programming exercises
Python for Data Analysis

Topics:

  • Object-Oriented Programming Basics
  • Modules & Packages
  • Working with APIs & JSON Data
  • Data Collection Basics
  • Virtual Environments & Dependency Management
  • Python Ecosystem for Data Science

Hands-on:

  • Consume APIs using Python
  • Work with JSON & CSV datasets
  • Build reusable Python scripts
  • Automate basic analytical tasks

Tech Stack

Tools & Technologies

Master industry-standard tools used by top companies

Python
Pandas
NumPy
Matplotlib
Scikit-learn
SQL
Jupyter
Tableau
Power BI
Apache Spark
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Program Investment

Invest in Your Future

Best value in the market with everything you need to succeed

55% OFF — Limited Time

One-time Payment

₹18,000

₹40,000

🎉 You Save ₹22,000

What's Included

3.5 Months Training
12+ Projects
Lifetime Access
Certificate
Secure Payment
Certified Program
FAQ

Frequently Asked Questions

Everything you need to know about our Data Science course

Still have questions? We're here to help!

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Start Your Journey

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  • Master DevOps with Gen AI

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