SKETO's most advanced data program. 10 months of Python, SQL, Statistics, Power BI, Machine Learning, Deep Learning, and Generative AI. From prompt engineering to building RAG pipelines. Only 6 to 10 students per batch.
3 core pillars + 3 practical modules — project-based learning with real datasets and real AI. No PPT-driven teaching, only hands-on execution.
From data understanding to dashboard creation. Learn how to analyze data, build reports, and generate insights that businesses actually use for decision-making.
Understand how models work and how to apply them. From core concepts to real-world problem solving using predictive techniques and structured workflows.
Go beyond basics into modern AI. Learn prompt engineering, build AI-powered applications, and work with real-world use cases like automation and intelligent systems.
Descriptive and inferential statistics, probability, hypothesis testing, sampling distributions. Build analytical thinking for data-driven decisions.
DAX, Power Query, dashboard design, KPI reporting. Storytelling with data using Python visuals and BI tools. Build dashboards that drive business decisions.
Supervised and unsupervised learning, model evaluation, ensemble methods. XGBoost, Random Forest, hyperparameter tuning for production-ready models.
Each phase builds on the last. You work with real data and real AI from Day 1.
Foundations of data science, AI basics including Generative AI, data lifecycle, data types, cleaning basics. Tools overview: Python, SQL, Excel, Power BI.
Variables, data types, flow control, functions, OOP, file handling, exception handling, date and time, and Python libraries: Pandas, NumPy, Matplotlib, Seaborn, scipy.stats, statsmodels.
Database management, CRUD operations, filtering, aggregations, JOINs, subqueries, window functions, CTEs, set operations, stored procedures, views, indexing for performance.
Descriptive statistics, probability distributions, sampling, hypothesis testing, confidence intervals, T, Chi-Square, and F distributions, P-values and practical applications.
Introduction to Generative AI, transformer models (BERT, GPT, DALL-E), training generative models, prompt engineering, hallucination mitigation, embeddings, vector search, RAG pipelines, vector databases (FAISS, Chroma, Pinecone), evaluation of LLM outputs.
EDA, data manipulation with Pandas, feature engineering, supervised learning (linear and logistic regression), unsupervised learning (clustering, PCA), NLP basics, Naive Bayes, data visualization.
ML modelling flow, performance measures, overfitting and underfitting, ensemble methods (Random Forest, Gradient Boosting, XGBoost, LightGBM, CatBoost), hyperparameter tuning, cross-validation, model explainability (SHAP, LIME).
Advanced visualization, dashboard design, storytelling with data, Python visuals in BI tools, automated BI refresh pipelines. Advanced deep learning with generative AI applications.
Neural networks from scratch, TensorFlow 2.0, deep neural networks, activation functions, backpropagation, overfitting techniques, regularization. GANs, VAEs, fine-tuning, transfer learning, custom generative projects, NLP with Gen AI (text generation, summarization, chatbots).
Flask API deployment, Streamlit dashboards, Git and GitHub portfolio, resume building, LinkedIn optimization, mock interviews, placement preparation, career roadmap.
This isn't a program where AI is mentioned in one module. From prompt engineering and RAG pipelines to building production-ready AI applications, Generative AI is integrated throughout. You'll work with LLMs, vector databases, and transformer architectures.
Build a retrieval-augmented generation system using LangChain, FAISS, and LLMs that answers questions from custom knowledge bases.
Design and deploy a generative AI application: image, text, or data synthesis using transformer models, fine-tuning, and transfer learning.
Build a complete ML system enhanced with generative AI: automated EDA, model explainability with SHAP and LIME, and AI-powered reporting.
Build a strong portfolio through hands-on projects, including a final capstone project that showcases your ability to solve real-world problems using data and AI. Designed to demonstrate practical skills, not just theoretical knowledge.
Earn a SKETO certification that reflects your practical expertise in Data Science, Machine Learning, Deep Learning, and Generative AI. A credential that adds credibility to your profile and strengthens your position in the job market.
Create a professional GitHub profile with well-structured repositories, showcasing your projects, code quality, and problem-solving approach, built to impress recruiters and hiring managers.
Become job-ready with a strong foundation, real project experience, and a portfolio that demonstrates your capabilities with AI and data science, prepared to confidently crack interviews and perform in real roles.
Learn in a focused environment where every doubt is addressed. Personalized attention on every concept, dataset, and project, not a crowded classroom experience.
If you feel the need to revisit concepts, attend the program again at no extra cost. Our confidence lies in ensuring you truly learn, not just complete.
This program is designed for individuals who are committed to learning, building, and growing. If you're here to truly upskill and transition, you're in the right place.
We understand every learner comes with a different background and goal. The program adapts to your requirements, ensuring relevance, clarity, and better outcomes.
Talk to our counselor for free, or attend a real class with a paid trial session. No pressure, just clarity.
Talk to our team about the program, career paths & fees. Zero obligation.
Walk into a real classroom session. See how we teach, interact with the trainer, and work on a live dataset. Get a clear picture of the learning experience before you commit.
Experience how learning turns into execution. Attend a live session and start your first guided mini project using real datasets. Walk away with practical exposure and a feel of the full program.
"Overall experience was really great throughout the whole period of learning data science, machine learning and python. This course helped to gain more knowledge about data analytics, how deep it is and how there is further more use of it in the upcoming era. It also helped me increase my programming and statistical knowledge. The teaching staff is great and always available to solve any queries. You also get job opportunities from their end so you can apply side by side while learning. Thank you!"
"I started my Java programming journey at SKETO in 2022. The knowledge I gained here is one of the main reasons my career took off. If you want to better your future, I would surely suggest anyone to join SKETO."
"I had an outstanding learning experience of the Expert Data Science program. The curriculum was well-structured and covered a wide range of essential topics in data science. The instructors were not only highly skilled but also deeply committed to ensuring every concept was clearly understood. Their practical approach and real-world examples made even the most advanced topics approachable and engaging. This program truly enhanced my skills and confidence in applying data science techniques effectively."
Sourced from Google Reviews & UrbanPro
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