Web Development

Data Science & Machine Learning

00+ Years Experience

Dr. Anil Sharma

  • Last Update

    March 15, 2026

  • Available

    35 Students

  • (5.0 / 4.7 Rating)

  • Overview

  • Curriculum

  • Instructor

  • Review

Course Overview

Data Science is one of the fastest growing fields in the technology industry. It focuses on extracting meaningful insights from data using statistics, programming, machine learning, and data visualization techniques. Organizations use Data Science to make smarter business decisions, predict trends, and solve complex problems using data.

This course is designed for beginners, students, and professionals who want to build a career in Data Science and Artificial Intelligence. You will learn data analysis, Python programming, machine learning algorithms, and real-world data science projects used by companies across industries.

What You Will Learn?

  • Python for Data Science:

    Learn Python programming fundamentals and libraries such as NumPy, Pandas, and Matplotlib used for data analysis.

  • Data Analysis & Visualization:

    Understand how to clean, analyze, and visualize datasets using powerful data visualization tools.

  • Machine Learning Algorithms:

    Learn machine learning concepts including regression, classification, clustering, and predictive modeling.

  • Real-World Data Science Projects:

    Work on practical projects using real datasets to understand how Data Science is applied in business.

Requirements

This Data Science course is suitable for beginners and professionals. Basic knowledge of mathematics and programming will be helpful, but no prior Data Science experience is required.

  • No Programming Experience
    Required:

    This course is beginner friendly and designed for students who want to start a career in Data Science and analytics.

  • Basic Mathematics
    Knowledge:

    Understanding basic statistics and mathematics will help you learn machine learning concepts faster.

  • Computer or Laptop
    Required:

    A computer with internet connection is required to practice programming and data analysis.

  • Interest in Data
    & Analytics:

    Curiosity to analyze data and build intelligent models will help you succeed in this course.

Course Curriculum

Through structured lessons and practical training, you will learn Python programming, data analysis, machine learning algorithms, and real-world data science projects used by modern organizations to make data-driven decisions.

Introduction to Data Science

  • 10 Lessons

  • 4h, 30min

Beginner

Understand the fundamentals of Data Science, data-driven decision making, and industry applications.

  • Introduction to Data Science

  • Data Science Lifecycle

  • Applications of Data Science

Python for Data Science

  • 12 Lessons

  • 5h, 20min

Beginner

Learn Python programming and important libraries used in Data Science.

  • Python Basics for Data Science

  • NumPy and Pandas

  • Data Cleaning and Data Processing

Data Visualization

  • 15 Lessons

  • 6h, 40min

Intermediate

Learn how to visualize data using popular tools and libraries for better insights.

  • Introduction to Data Visualization

  • Matplotlib and Seaborn

  • Creating Interactive Dashboards

Machine Learning & Projects

  • 12 Lessons

  • 5h, 10min

Advanced

Learn machine learning algorithms and apply them to real-world projects.

  • Regression and Classification

  • Clustering and Predictive Models

  • Real-Time Data Science Project

Dr. Arjun Sharma

Senior Data Scientist & Machine Learning Expert

  • (5.0 / 4.5 Rating)

  • 58 Courses

Dr. Arjun Sharma is an experienced Data Scientist with more than 12 years of experience in Data Analytics, Machine Learning, and Artificial Intelligence.
He has worked with large datasets, predictive modeling, and real-world AI applications across multiple industries. Dr. Arjun has trained hundreds of students and professionals in Python, Data Science, and Machine Learning with hands-on projects.

Rs.20,000.00

This Course Included

  • Lesson

    50
  • Duration

    2 Months
  • Skill Level

    Advanced
  • Language

    English & Telugu
  • Deadline

    March 31, 2026
Go Back Top