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Data Science Specialization

Master the art of analyzing, interpreting, and visualizing data to make data-driven decisions. This course will equip you with hands-on skills in Python, statistics, machine learning, and real-world projects.

4.5
80+ students enrolled

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Course Overview

This 3-month Data Science Specialization is designed to transform beginners into proficient data scientists. You will learn Python programming, data analysis, statistics, machine learning, and visualization using industry-standard tools. With weekly mini-projects and real-world assignments, you’ll gain the confidence to solve complex business problems. By the end, you’ll be ready to tackle data-driven roles across various industries.

Key Features

  • Hands-On Learning
  • Python-Centric Approach
  • Advanced Data Handling
  • Data Visualization Mastery
  • Machine Learning Integration
  • End-to-End Project Execution

Course Outcomes

Proficient in
Python Programming

Data Handling &
Cleaning Skills

Data Visualization
Expertise

Statistical &
Analytical Thinking

Machine Learning
Implementation

End-to-End Data Science
Project Execution

Course Modules

Tools Covered

Excel

Excel

Python

Python

Numpy

NumPy

Pandas

Pandas

Matplotlib

Matplotlib

Seaborn

Seaborn

Plotly

Plotly

Scikit-Learn

Scikit-learn

Jupyter Notebook

Jupyter Notebook

Sql

SQL/No Sql

Flask

Flask & Django

Github

GitHub

Images
₹ 18,000.00 ₹ 20,000.00
  • Duration 3 months
  • Total Lectures 36
  • Skill Level Intermediate
  • Language English | Hindi
  • Prerequisite Basic Techniccal Skills
  • Certificate Yes

Course Certification

    • Become a Certified Data Scientist!
    • - Gain expertise in data analytics, machine learning, and visualization through real-world projects.
data-science-specialization-certificate

Click on Certificate to verify.

Review

4.5
Course Rating

Get In Touch

FAQ

The course is ideal for beginners, working professionals, and students interested in building a career in data science, analytics, or machine learning. Basic knowledge of computers is enough to start.

No prior programming knowledge is required. The course starts with Python fundamentals and gradually moves to advanced topics.F

You will learn Python, Jupyter Notebook, Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, PySpark, SQL/NoSQL, and frameworks like Flask/Django for model deployment.

Yes. The course provides hands-on projects, machine learning experience, and deployment skills, helping students transition into data science roles.

Yes. Each module includes practical exercises, mini-projects, and a capstone project to ensure real-world application of skills.

You can pursue roles like Data Analyst, Junior Data Scientist, Data Scientist, Machine Learning Engineer, or AI Specialist with salaries ranging from ₹3 LPA to ₹30 LPA depending on experience.

The course duration is 3 months, covering Python, data handling, visualization, machine learning, big data, and project deployment. Flexible schedules may be available depending on the institute.

Yes. Most programs provide mentorship, placement guidance, and support for project clarification even after the course ends.

Projects

15+ Hands-On Mini Projects

Analyze datasets with projects like Sales Analysis, Student Performance Tracker, Movie Ratings Analysis, Weather Data Analysis, and Basic Data Cleaning Projects.

3+ Industry Projects

Work on projects like Customer Segmentation, Sales Trend Analysis, and Stock Price Analysis inspired by real business needs to boost your portfolio.

Career Path

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