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
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.
Crio Grads
have Cracked their Dream Careers In
The full AI-native data stack
Data Analytics & BI
Machine Learning & MLOps
GenAI & Agentic AI
Master Data Insights with
Key Analytics Tools
Key Analytics Tools
Master Data Analytics &
Data Science with AI Skills
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.
Work-like Projects & 20+ Micro-Skilling Exercises
Live Guided Sessions by Industry Experts
Hours of Daily Live Technical Support
SQL and Python Problems
Work-like Projects & 20+ Micro-Skilling Exercises
Live Guided Sessions by Industry Experts
Hours of Daily Live Technical Support
SQL and Python Problems
Crio vs. traditional data courses
See why Crio's AI-native, project-led model produces job-ready data scientists where others produce certificate holders.
Ship 10 industry-grade AI projects to your portfolio
Every module ends with a project that simulates what data scientists actually build at top product companies.
Two AI-powered tracks. One world-class outcome.
Pick a path based on the role you're chasing. Both share the AI-native foundation; the focus differs.
Data Analyst Track
Data / Business Analyst · BI Engineer
A 6-month AI-augmented track focused on extracting business value from data — fastest path to your first data role.
- ▶Statistics & A/B testing for product decisions
- ▶GenAI copilots for analytics & data storytelling
- ▶5 work-like projects + capstone
- ▶Target CTC — 8–14 LPA
Data Scientist (AI Track)
Data Scientist · ML Engineer · AI Engineer
A 9–10-month deep dive into machine learning, MLOps and GenAI/agentic systems — built for premium data science roles.
- ▶Everything in Analyst Track + advanced ML
- ▶MLOps: MLflow, Docker, model monitoring
- ▶10+ AI projects · system design for ML
- ▶Target CTC — 12–26 LPA
You can explore both paths during early phases before locking in your specialization with the help of your mentor.
The curriculum to crack AI-era data jobs
Premium
Advanced
★RecommendedPremium Curriculum (Included)
Advanced Add-ons
Data Analytics with SQL and Excel
8 weeks
- Master SQL queries, subqueries, and Joins to extract data from relational databases.
- Understand data aggregation (GROUP BY) and query optimization best practices.
- Gain expertise in Excel formulas, lookup tables, and Pivot tables for analysis.
- Learn the role of KPIs and Metrics in solving real-world business problems.
- Become familiar with various data formats like JSON, XML, and CSV.
- Create charts and dashboards in Excel to visualize data insights.
- Get hands-on experience with real-world datasets and schema diagrams.
Python Programming & Data Structures
8 weeks
- Master Python syntax, control flow (loops/conditionals), and data structures (Lists/Dicts).
- Write reusable code using Functions, Modules, and Object-Oriented Programming (OOP).
- Handle errors and exceptions gracefully within applications.
- Learn to use Python libraries and file handling techniques.
- Solve commonly asked coding problems to build algorithmic thinking.
Exploratory Data Analysis & Visualization
8 weeks
- Master NumPy and Pandas for high-performance data manipulation and cleaning.
- Perform Exploratory Data Analysis (EDA) including univariate and multivariate analysis.
- Visualize data programmatically using Matplotlib and Seaborn.
- Connect Python to SQL databases to fetch and process raw data.
- Master Business Intelligence tools like Power BI and Tableau for dashboarding.
- Apply data storytelling techniques to communicate insights effectively.
- Projects: QSales (Smart Sales Forecaster), Flipkart/Stock Dashboards.
Machine Learning Foundations & ML Algorithms
12 weeks
- Master Linear Algebra, Calculus, and Statistics for AI — distributions, Bayes' Theorem, and Hypothesis Testing.
- Build ML pipelines: Preprocessing, Feature Engineering, Dimensionality Reduction (PCA), and Version Control (DVC).
- Implement Supervised & Unsupervised algorithms — Regression, Trees, Random Forest, SVM, and Clustering.
- Train and tune models with Scikit-learn & XGBoost — Cross Validation, Hyperparameter search, and SHAP.
- Evaluate models (Precision/Recall, ROC-AUC), handle imbalanced data, and apply AI Ethics & Responsible AI.
- Projects: QFactory (Predictive Maintenance) & QTraffic (Accident Risk Predictor).
MLOps, Data Engineering & Production Systems
8 weeks
- Master Big Data (Hadoop, Spark) with Spark optimization and MLlib at scale, on Lake/Warehouse architectures.
- Build scalable ETL/ELT and real-time streaming pipelines with PySpark, Kafka, and Airflow.
- Deploy models with Docker, FastAPI, and CI/CD — Batch/Real-time serving and deployment strategies.
- Monitor in production with Grafana, Drift Detection, and Experiment Tracking & Model Registry (MLflow).
- Work with Cloud (AWS/GCP) and NoSQL, with automated testing and data-quality gates.
- Projects: QFactory (Production Monitoring) & QTrend (Social Media Data Pipeline).
Advanced AI, GenAI & Cloud Architecture
8 weeks
- Build the foundation: Neural Networks, NLP & embeddings, Transformers, and LLM training (pre-training, RLHF).
- Build AI Agents & Agentic AI — tool use, function calling, and multi-step reasoning.
- Architect GenAI apps with RAG, Vector Databases, LangChain, and LLM APIs.
- Advanced Prompt Engineering, Multimodal AI (Whisper, vision), and LLM Evaluation with Safety Guardrails.
- Optimize with Ensembles and Time-Series forecasting; deploy on Kubernetes, Kubeflow & Cloud ML (SageMaker, Vertex AI).
- Projects: QResume & QCoach; QAudio (Deep Learning Optimization).
Interview Blitz
4 weeks
- Prepare to succeed in data science interviews with focused interview preparation, mock interviews, and aptitude assessments.
- Perfect your interview skills for Data Scientist roles through multiple AI-driven practice sessions.
- Practice the most commonly asked technical questions, including logic building and data manipulation challenges, to ace your interview.
- Take part in timed mock interviews and solve take-home assignments focused on real-world data problems and AI applications.
- Build confidence for upcoming interviews by engaging in mock sessions, focusing on AI integration and problem-solving techniques.
Where AI shows up in
your data work
your data work
Graduates landing 10–26 LPA AI-data roles
Numbers verified by an independent placement audit, refreshed every cohort.
Placed Within 9 Months
Avg dream-job CTC
Avg super-dream CTC
Average Salary Hike
Placed Within 9 Months
Avg dream-job CTC
Avg super-dream CTC
Average Salary Hike
What Our Graduates Say
Real experiences from professionals who transformed their careers.
Get more insights on how Crio can help you
crack a data analytics role in top tech companies.
Your mentors are shipping AI products at scale
Exclusive Career Services - With a personalized Career Plan
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
EMI as low as
7,874
/month
(For 36 months)
Before Scholarship
A Free Trial Session
No Fee Required
Assured Scholarships
After Free Trial
12 month no-cost EMI and 18, 24 & 36 month low-cost EMI available.
FAQs
Ready to become an AI-native data professional?
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Chandra Reddy Layout, AVS Layout Ejipura,
Bengaluru, Karnataka 560095
