No advanced maths degree needed. Go from raw data to cleaned datasets, insights and predictive models using Python — with ChatGPT, Claude, Copilot, LangChain and modern AI tools woven into every module.
From data wrangling to regression, then LLMs and AI agents — master the complete analysis workflow with GenAI tools at every step.
Importing, wrangling, EDA, ANOVA, correlation, regression and model evaluation — the full analyst workflow in Python.
ChatGPT, Claude, GitHub Copilot, Julius AI and PandasAI used as part of your analysis workflow from day one.
Create "chat with your data" assistants with LangChain and RAG, and ship interactive dashboards with Streamlit.
Graduate with a completion certificate and a GitHub portfolio of analysis and AI projects recruiters can open and review.
Modules 1-5 cover the complete Data Analysis with Python syllabus. Modules 6-9 (★) are the AI Specialization. Every module pairs real analysis skills with the AI tools used for that skill.
Graduate with analysis notebooks and a deployed AI data app on GitHub that any recruiter can open.
Wrangle a real dataset, run EDA, ANOVA and correlation, then build, evaluate and tune regression models. Use Copilot to speed up code and ChatGPT to explain the results.
Segment customers with K-Means and predict churn with classification models. Use AI to write segment descriptions and business recommendations.
Build an AI assistant with LangChain and the OpenAI API that answers questions from a dataset and documents, shown in a Streamlit dashboard.
12+ real data and GenAI tools across every module — building working analysis workflows, not just notebooks.
Data skills sit behind almost every business function. Here are the roles this workshop prepares you for.
Turn raw data into reports, KPIs and decisions using Python, SQL and BI tools.
Bridge business and data teams — translate questions into analysis and recommendations.
Build predictive models and experiments that drive business outcomes.
Use LLMs, RAG and AI agents to automate analysis and reporting for teams.
Train, evaluate and ship ML models behind real applications.
Build clean, reliable data pipelines and dashboards for analytics teams.
Here are the important details about the Data Analysis with Python + GenAI workshop.
This is a 2-3 month live program with hands-on labs, graded reviews, a capstone project and a final exam.
No. The program starts from the basics. Some familiarity with Python helps, but beginners — students, freshers and career switchers — are welcome.
Yes. AI tools are built into every module — ChatGPT, Claude, GitHub Copilot, Julius AI, PandasAI, Hugging Face and LangChain — and the last modules cover LLM APIs, RAG and AI agents for data analysis.
It is hands-on. Every module has a lab, and you finish with a deployed capstone project (such as a "chat with your data" app) on GitHub.
Yes. After completing the labs, final exam and capstone, you will receive a completion certificate from Uncoder.
Students, freshers, IT and non-IT professionals, and career switchers interested in data analysis, machine learning and GenAI.
Student, fresher or career switcher — start with the fundamentals and finish with an AI-powered data project. We teach everything step by step.
⚡ Limited seats per cohort — freshers & students get priority!