Fellowship Program in NextGen Data Analytics & Data Science with AI

With businesses increasingly relying on data-driven decision-making, professionals who can analyze data and build intelligent models are in high demand. Progress seamlessly from Data Analytics to Data Science with AI, with expert career guidance to build a successful career in the Data Science Field.

Fellowship Program in NextGen Data Analytics & Data Science with AI

Curriculum to crack dream jobs
(6 - 10 LPA) in top product-based
Companies

Premium

Advanced

*Includes the Premium curriculum also

Programming Foundations

8 weeks

Data Analytics and Data Visualization

16 weeks

Industry Projects and Case Studies

8 weeks

Data Structures and Algorithms

8 weeks

GenAI, ML and MLOps

8 weeks

Big Data and Data Engineering

4 weeks

Interview Blitz

4 weeks

Programming Foundations

8 weeks

Establish a strong Python programming foundation for your data analytics career by mastering essential coding skills and core programming concepts.

Gain proficiency in Python syntax, data structures, and control flow statements.
Write reusable code using functions, modules, and file-handling techniques.
Confidently solve programming problems and apply Python library methods.
Handle errors and exceptions effectively in your programs.
Understand object-oriented programming (OOP) and make API calls for data handling.
Grasp basic Statistics and Probability for data interpretation.

Python Foundations

Data Structures

Control Flow

Functions

Modules

File Handling

Libraries

Error Handling

Object Oriented Programming

API invocation

JSON

Statistics

Probability

Programming Foundations

8 weeks

Data Analytics and Data Visualization

16 weeks

Industry Projects and Case Studies

8 weeks

Data Structures and Algorithms

8 weeks

GenAI, ML and MLOps

8 weeks

Big Data and Data Engineering

4 weeks

Interview Blitz

4 weeks

Crio Grads
have Cracked their Dream Careers In

93%

placed within 9
months of graduation

10 LPA

average dream
job CTC

21 LPA

average super-dream
job CTC

1000+

Hiring
Partners

81%

Average
Salary Hike

Master Data Insights with Key Analytics Tools

Learn 25+ industry-relevant tools across data analytics, data science, and AI

Industry-relevant Projects to
Experience Real World Data Roles

Learn and grow like you would on a real job with Crio’s Data Analytics & Data Science Program. Gain hands-on experience with real-world projects designed to prepare you for a successful career in data analytics

Exclusive Career
Services - With a personalized Career Plan

Get access to Crio’s Exclusive Career Services that will equip you to use your learnings and skills to land your next job.

1:1 Interview preparation including 10 AI Mock Interviews before technical interview rounds.

Soft-Skills training coupled with pre-training and post-training assessments

Series of mock assessments and detailed interview prep sprints to ace top tech jobs

Expert guidance to get your profile ready (Github, Portfolio, LinkedIn, Resume)

Access to a diverse set of job opportunities with 1000+ hiring partners

Program Fee and Scholarships

STARTING AT

7,874

/month

(For 36 months)

Before Scholarship

A Free Trial Session

No Fee Required

Assured Scholarships

After Free Trial

Work Experience-Based Learning Approach
to Master In-Demand Data Analytics & Data Science with AI Skills

Exclusive Career Services: Mock interviews, resume building, and focused career assistance to crack Data analytics and Data science roles

10+ work-like projects & 20+ micro skilling exercises: AI-driven industry-relevant projects and case studies across Data Analytics and Data Science to tackle real-world challenges

80+ live guided sessions:
Mentorship by Data Science & AI experts from leading tech companies

Live chat support and dedicated success managers: 12+ hours of daily live technical support to ensure a smooth & effortless learning experience

200+ SQL problems & 200+ Python challenges: Build querying skills and data visualisation skills with tools like Tableau, Power BI, Seaborn, Scikit-Learn, OpenAI, MLflow

End-to-End Data Science & AI: Build and deploy ML models, work with end-to-end data pipelines, and learn ML Ops and Big Data concepts used by Data scientists.