Best Online Data Science Course in India
Data Science is becoming one of the most growing fields. Are you looking for the best data science course in India?
Our 3-month fully online Best Data Science course is designed for everyone, providing engaging lectures and interactive modules led by industry experts focused on real-world projects. You'll learn essential skills for data-driven decision-making, covering Excel, SQL, Python, statistics, exploratory data analysis, Power BI, and Tableau while practicing widely-used Python libraries like Matplotlib, Pandas, Numpy, and Scikit-learn. With personalized feedback on your submissions, you'll enhance your skills and create an impactful CV with industry expert guidance. Our program includes mock interviews and soft-skills training, helping you build confidence and prepare for the job market. Many students secure job offers within 3-4 months of enrollment by applying to multiple opportunities with our partner companies. Enrol now to gain job-ready skills!
- Beginner Friendly
- Job Assistance
4.7/5 · 2k+ reviews
- 15+
- Live Projects
- 95%
- Placement Rate
- 24/7
- Mentor Support
- ₹8L
- Avg. Salary
Data Science Roadmap
Our structured 8-step process ensures your project is delivered.
Discussion
Engage in discussions to clarify project goals and ensure your data science approach aligns with business objectives.
Data Collection
Gather and organize data from various sources, ensuring it is comprehensive and relevant for your analysis.
Data Cleaning
Clean and preprocess the data to handle missing values, outliers, and ensure it is a useable format for analysis.
Exploratory Data Analysis (EDA)
Conduct exploratory data analysis to understand data distributions, identify patterns, and generate insights.
Modeling
Develop and train machine learning models using appropriate algorithms to predict, classify, or cluster the data.
Validation
Validate the performance of your models using techniques like cross-validation and adjust parameters to improve accuracy.
Deployment
Deploy the models into a production environment where they can be used to make real-time predictions or decisions.
Monitoring and Maintenance
Continuously monitor the performance of deployed models and update them as necessary to maintain accuracy and relevance.
Discussion
Engage in discussions to clarify project goals and ensure your data science approach aligns with business objectives.
Data Collection
Gather and organize data from various sources, ensuring it is comprehensive and relevant for your analysis.
Data Cleaning
Clean and preprocess the data to handle missing values, outliers, and ensure it is a useable format for analysis.
Exploratory Data Analysis (EDA)
Conduct exploratory data analysis to understand data distributions, identify patterns, and generate insights.
Modeling
Develop and train machine learning models using appropriate algorithms to predict, classify, or cluster the data.
Validation
Validate the performance of your models using techniques like cross-validation and adjust parameters to improve accuracy.
Deployment
Deploy the models into a production environment where they can be used to make real-time predictions or decisions.
Monitoring and Maintenance
Continuously monitor the performance of deployed models and update them as necessary to maintain accuracy and relevance.
Full Data Science Course Syllabus
Gain practical skills, industry knowledge, and hands-on experience to excel in your professional journey.
Module 1
Foundations of Data Science
Introduction to Data Science and its Applications.
Data Science Lifecycle and Tools Overview.
Basics of Statistics & Probability.
Introduction to Python/R for Data Science.
Data Types, Variables, Operators, Control Flow.
Meet Our Data Science Training Experts
Learn Web Development, Data Science, Digital Marketing, Machine Learning, and UI/UX Design
from experts. Master skills and accelerate your career!

Mr.Sanket Patil
Data Science
A great data science mentor doesn’t just teach models and metrics—they teach how to question, explore, and transform data into meaningful impact.
Placement Support
Clear the cut-off marks in your graduation project to get access to jobs at our partner companies
Your Future Job Title
Data Scientist
Why a Data Science Course is the Perfect Career Move
Data science is one of the best careers today. Every industry has a lot of data, which means data scientists are in high demand. Employment of data scientists is projected to grow by 36% from 2023 to 2033. This growth rate is much faster than average, showing a strong demand for data scientists. These jobs offer good salaries and involve exciting projects.
Average Hike at Kre8ly
Per annum starting salary
Average Salary of Past Learners
Career growth guaranteed
Perks of internship at Kre8ly
Unlock valuable industry experience, expert mentorship, skill development, and career growth opportunities through your internship at Kre8ly.

150+ Hiring Partners

₹21 Lakhs Highest Salary

Placement Guidance

Affordable Price

Lifetime recorded videoss

175% Highest Hike

Government-approved Certification

A program designed by Subject-Matter Experts
Why Join Best Data Science at Kre8ly
Unlock valuable industry experience, expert mentorship, skill development, and career growth opportunities through your internship at Kre8ly.
Technologies & Tools You Will Learn
Master industry-leading technologies and practical tools that prepare you for real-world development challenges.

Github

Pandas

Numpy

Python

SQL

Tableau

Power BI

Excel

Matplotlib

Jupyter
150+ Success Stories
Real experiences from learners who achieved their goals and transformed careers with our guidance and support.
Build Skills At Kre8ly
Real experiences from learners who achieved their goals and transformed careers with our guidance and support.
Projects You'll Build in Our Data Science Course
Real experiences from learners who achieved their goals and transformed careers with our guidance and support.
Program Timeline
Real experiences from learners who achieved their goals and transformed careers with our guidance and support.
| Weeks | Timeline | Includes |
|---|---|---|
| Week 1 | Day First Monday to Saturday Sunday | Induction Meet Self Paced Flexible Sessions Mentor Doubt Sessions |
| Week 2 | Monday to Saturday Sunday | Self Paced Flexible Sessions Mentor Doubt Sessions |
| Week 3 | Monday to Saturday Sunday | Self Paced Flexible Sessions Mentor Doubt Sessions |
| Week 4 | Monday to Saturday Sunday Last Day | Self Paced Flexible Sessions Mentor Doubt Sessions HR Placement Sessions |





























































