Data Science Course Overview

Become a Data Science Expert — Learn Python, Machine Learning, Deep Learning, and Data Visualization in One Complete Program!

Rohil NextGen offers a comprehensive Data Science training covering Data Analysis, Machine Learning, AI, and Real-World Projects using industry tools like Python, Pandas, Scikit-learn, and TensorFlow.

TOP RATED 4.9 Ratings
4 Months
Course Duration
150
Total Hours
90
Practical Hours
2025
Latest Curriculum

Why Choose Data Science Certification Training?

Annual Income

Estimated Salary

₹ 20 L

Data Growth

Increase in Global Data

180 ZB

Jobs by 2026

Demand for Data Scientists

11.5 L

Become a Data Science Specialist

❝ Learn Machine Learning, Deep Learning, and Big Data Analytics ❞

Course Overview

This Data Science course equips you with the skills to analyze data, build predictive models, and drive business decisions. You will learn hands-on with tools like Python, SQL, Matplotlib, Scikit-learn, and TensorFlow.

Key Learning Outcomes

  • Learn Python Programming for Data Analysis.
  • Master Machine Learning & Deep Learning Models.
  • Visualize Data Using Matplotlib, Seaborn & Power BI.
  • Work with SQL, Pandas, and Data Cleaning Techniques.
  • Explore AI, Natural Language Processing, and Real-Time Projects.

Career Prospects with This Course

  • Work as a Data Scientist or Data Analyst.
  • Become a Business Intelligence Analyst.
  • Join as a Machine Learning Engineer.
  • Apply for AI/ML Research Positions.
  • Lead Data-Driven Projects in Enterprises.

Course Syllabus

Week 1-2: Python for Data Science

Theory

  • Python Basics: Variables, Loops, Conditionals, Functions
  • Data Structures: Lists, Tuples, Dicts, Sets
  • File Handling
  • Intro to Libraries: NumPy, Pandas

Practical

  • Write scripts for basic math/stat operations
  • Create functions to parse and clean text files
  • Small project: Analyze a CSV (e.g., sales data)

Week 3-4: Data Analysis with Pandas & NumPy

Theory

  • NumPy arrays and operations
  • Pandas DataFrames and Series
  • Data cleaning and preprocessing
  • Handling missing data

Practical

  • Data manipulation with Pandas
  • Statistical analysis with NumPy
  • Data cleaning project

Week 5-6: Data Visualization

Theory

  • Matplotlib for basic plotting
  • Seaborn for statistical visualization
  • Interactive plots with Plotly
  • Power BI for business dashboards

Practical

  • Create various chart types
  • Build interactive dashboards
  • Visualization project with real data

Week 7-8: Statistics & Probability for Data Science

Theory

  • Descriptive statistics
  • Probability distributions
  • Hypothesis testing
  • Correlation and regression

Practical

  • Statistical analysis with Python
  • A/B testing implementation
  • Statistical inference project

Week 9-10: Machine Learning Introduction

Theory

  • Supervised vs. unsupervised learning
  • Regression and classification algorithms
  • Model evaluation and validation
  • Feature engineering

Practical

  • Implement ML algorithms with Scikit-learn
  • Build and evaluate predictive models
  • Feature engineering project

Week 11-12: Mini Project & Model Deployment

Theory

  • End-to-end data science project workflow
  • Model deployment strategies
  • Model monitoring and maintenance
  • Best practices in production ML

Practical

  • Complete a mini data science project
  • Deploy a model using Flask/FastAPI
  • Create a project portfolio

Frequently Asked Questions

What is Data Science?

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

Do I need programming experience for this course?

No prior programming experience is required. The course starts with Python fundamentals and gradually builds up to advanced data science concepts.

Will I receive a certificate after completing the Data Science course?

Yes, upon successful completion of the course and final project, you will receive a certificate from Rohil NextGen.

What kind of projects will I work on during the course?

You'll work on real-world projects including sales data analysis, predictive modeling, data visualization dashboards, and a capstone project that integrates all the skills you've learned.

What tools and technologies will I learn?

You'll learn Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, SQL, and Power BI among other industry-standard tools.

What career support do you provide after course completion?

We provide resume building assistance, interview preparation, portfolio development guidance, and connect you with our placement partners for job opportunities.