Discussion
Pin down the business question first, so the analysis aims at something useful.
Become job-ready in data science in 6 months
Includes full mentorship access, capstone evaluations & certification.
Every project follows the same eight stages a data team goes through. You practise them in Python on real datasets, and a mentor reviews your work along the way.
Pin down the business question first, so the analysis aims at something useful.
Pull data from files, databases and other sources, and check that it covers the problem.
Handle missing values, outliers and messy formats so the data is ready to use.
Plot distributions, spot patterns and form your first ideas about what's going on.
Train machine learning models to predict, classify or group the data.
Test your models with methods like cross-validation, then tune them to improve accuracy.
Put a model where it can be used to make predictions or decisions.
Watch how the model performs over time and update it when it slips.
Pin down the business question first, so the analysis aims at something useful.
Pull data from files, databases and other sources, and check that it covers the problem.
Handle missing values, outliers and messy formats so the data is ready to use.
Plot distributions, spot patterns and form your first ideas about what's going on.
Train machine learning models to predict, classify or group the data.
Test your models with methods like cross-validation, then tune them to improve accuracy.
Put a model where it can be used to make predictions or decisions.
Watch how the model performs over time and update it when it slips.
The syllabus starts with statistics, probability and Python, then builds toward machine learning and project work. The Basic track covers the foundations, and the Advance track goes deeper.
You don't have to wait for a degree to start. Undergraduates can begin while still in college, and recent graduates can use the program to turn a degree into a verifiable portfolio.
BSc, BCA, BTech, MCA, or BCom students looking to transition into data.
Aspirants in Bhubaneswar, Kanpur, Nashik, and beyond where local roles are scarce.
Designed from ground zero—no prior data science or coding experience needed.
Real, documented projects you can showcase directly on your resume and GitHub.
100% online cohort with live mentoring and real-world dataset projects.
Apply for InternshipLearn from mentors who work with data and machine learning and can show you how the work is done in practice.
Landing a first data science role from a smaller city can feel like a long shot. Finish your project and assessments to become eligible for openings with our partner companies.
Some of the companies we work with on hiring.

Amazon

Accenture

EY

IBM

TCS

Tech Mahindra

PWC

HCL Tech

Astrotalk

Honda

CARS24

Bluestock Fintech

Excelerate

Natixis Services

Zyla Health

Amazon

Accenture

EY

IBM

TCS

Tech Mahindra

PWC

HCL Tech

Astrotalk

Honda

CARS24

Bluestock Fintech

Excelerate

Natixis Services

Zyla Health
Your Future Job Title: Data Scientist
Banks, retailers, healthcare companies, logistics firms and startups collect more data every year, and they need people who can turn it into decisions. A data science internship program gives you a practical way in, even if you're studying outside a metro. Employers look at what you've built: a clean analysis, a working model, a project on GitHub.
Average Hike at Kre8ly
Per annum starting salary
Average Salary of Past Learners
Career growth support
Mentor access, project work and job support all come with the Internship.

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
Besides the lessons, you also get these.
These are the tools data teams use every day. You'll use each one in your projects.
The main language for analysis and machine learning.
Cleaning and reshaping data.
Running and sharing your analysis step by step.
Plotting charts and statistical visualizations.
Pulling data from databases.
Quick checks and simple analysis.
Dashboards for non-technical readers.
Dashboards and business intelligence reports.
Storing your projects so recruiters can find them.
Working with data from a live app backend.
See where Kre8ly learners are working now. Browse by Developer, Analyst or Others.
Open a profile to see where each learner is now.
Your projects are your portfolio, so they matter as much as the lessons.

When you finish, you receive a Kre8ly certificate for your resume and LinkedIn profile. What gives it weight is the project work behind it. It helps whether you're aiming for a tech company, an analytics firm, a startup or freelance work.
A certificate you can show to recruiters and hiring partners.
Six projects you can walk through in interviews.
Keep your certificate and course materials.
Placement assistance and interview preparation.
Exploring other tracks? See our Data Analyst Internship, Business Analyst Internship or Machine Learning course.
Each week has self-paced sessions and mentor doubt sessions, and the month ends with an HR placement session.
| 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 |
Everything you need to know about our live classes, project reviews, curriculum roadmaps, and placement eligibility.