import pandas as pd
df = pd.read_csv('data.csv')
print(df.head())
Data Science & Analytics

Data Science & Analytics

Transform raw data into actionable insights. Master statistical analysis, machine learning, and data visualization to drive business decisions and innovation.

4 Months Duration
Live Interactive Classes
6+ Real Projects
Industry Certificate
₹16,499 ₹54,999 70% OFF
Enroll Now View Curriculum
Python
SQL
Tableau
Machine Learning

250+

Students Graduated

93%

Placement Rate

4.7/5

Student Rating

₹5.0L

Average Package

Curriculum

Course Curriculum

Comprehensive curriculum designed by industry experts

Module 1: Python Programming

4 Weeks • 16 Hours

  • Python Syntax and Variables
  • Data Types and Structures
  • Control Flow and Loops
  • Functions and Modules
  • Object-Oriented Programming
  • Exception Handling
  • Project: Data Analysis Script

Module 2: SQL and Database Management

3 Weeks • 12 Hours

  • SQL Fundamentals
  • Database Design and Modeling
  • Data Extraction and Transformation
  • Database Optimization
  • Project: Data Warehouse Design

Module 3: Data Visualization with Tableau

4 Weeks • 16 Hours

  • Tableau Interface and Features
  • Creating Charts and Graphs
  • Building Interactive Dashboards
  • Data Storytelling
  • Project: Interactive Dashboard

Module 4: Machine Learning Fundamentals

5 Weeks • 20 Hours

  • Supervised Learning Algorithms
  • Unsupervised Learning Techniques
  • Model Evaluation and Validation
  • Feature Engineering
  • Project: Predictive Model

Module 5: Capstone Project

4 Weeks • 16 Hours

  • Project Planning and Design
  • Data Collection and Preparation
  • Model Building and Training
  • Evaluation and Deployment
  • Presentation and Documentation
  • Project: End-to-End Data Science Solution
Skills

What You'll Learn

Skills and technologies you'll master in this course

Python Programming

  • Master Python syntax and core concepts
  • Data manipulation with Pandas
  • Numerical computing with NumPy
  • Data visualization with Matplotlib

SQL and Databases

  • SQL querying and data extraction
  • Database design and modeling
  • Data warehousing concepts
  • Database optimization techniques

Data Visualization

  • Tableau interface and features
  • Creating charts and graphs
  • Building interactive dashboards
  • Data storytelling techniques

Machine Learning

  • Supervised and unsupervised learning
  • Model evaluation and validation
  • Feature engineering techniques
  • Predictive modeling
Success Stories

Student Success Stories

See how our Data Science course transformed careers

RY

Nitin Kumar

Data Scientist at TCS

₹7.5 LPA

"The Data Science course at Naya Prayog was comprehensive and practical. The hands-on projects helped me build a strong portfolio, and the placement support was excellent. I landed my dream job at TCS within 2 months of completion!"

SK

Sanjay Kumar

Data Analyst at Startup

₹6.2 LPA

"Coming from a non-tech background, I was worried about learning Data Science. But the instructors made it so easy to understand. The bilingual teaching really helped me grasp complex concepts."

PM

Priya Mishra

BI Analyst at Tech Company

₹7.0 LPA

"The course structure was perfect - from basics to advanced topics. The capstone project gave me confidence to handle real-world challenges. Highly recommend this course to anyone serious about Data Science."

Ready to Start Your Data Science Journey?

Join hundreds of students who have successfully launched their careers with our Data Science & Analytics course.

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Early Bird Offer
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