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.
Assured Referrals*
DREAM JOBS
6 - 15 LPA
SUPER DREAM JOBS
15 - 40 LPA
FULLY ONLINE
9 months
TRIAL SESSION
Free
DEVELOPERS TRAINED
3000+
AVERAGE RATING
4.5/5
Mentors
Projects
problems
Interviews
Months
Certificate
Kodoworks
Fellows Are Building Careers At
Sayanika Dutta
is in
Venkata Amaresh
is in
Jeevan Janardan Mali
is in
Pranav Nigam
is in
Adriza Mishra
is in
Rajat G
is in
Sayanika Dutta
is in
Venkata Amaresh
is in
Jeevan Janardan Mali
is in
Pranav Nigam
is in
Adriza Mishra
is in
Rajat G
is in
Jyoti Ranjan Biswal
is in
Shubham Sharma
is in
Karthik Chennupati
is in
Yadnesh Giri
is in
Dhiren Parmar
is in
Vikash Kumar
is in
Jyoti Ranjan Biswal
is in
Shubham Sharma
is in
Karthik Chennupati
is in
Yadnesh Giri
is in
Dhiren Parmar
is in
Vikash Kumar
is in
Curriculum To Crack Dream Jobs
(6 - 10 LPA) In Top Product-Based
Companies
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.
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.
Trained on the Tools Powering the Future of Work
Every KodoWorks fellow builds hands-on experience with the platforms and technologies that enterprise teams rely on every day.
Program Fee And Scholarships
(For 36 months)
Before Scholarship
A Free Trial Session
No Fee Required
Assured Scholarships
After Free Trial
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
FAQs
What is the structure of the Fellowship Program in NextGen Data Analytics & Data Science with AI?
×The Fellowship Program is structured into multiple hands-on sprints that build Data Analytics and Data Science skills step by step. The curriculum covers Excel, SQL, Python, data visualization, and practical analytics, and progresses to statistics, machine learning, and AI-driven workflows—ensuring end-to-end, real-world data expertise.