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Data Science & AIBeginner–Mid
PYTHON FOR DATA SCIENCE & AI
A 12-hour hands-on course that teaches you everything R / RStudio does — and more — using Python. Build a fully functional AI web application that explores, visualizes, trains, and surfaces results through an interactive Streamlit interface powered by an LLM chatbot. Perfect for R users transitioning to Python or anyone wanting a cleaner, state-of-the-art alternative for data science. Includes a Capstone Project: AI-Powered Sales Intelligence Dashboard.
₹14,999
Full course · live online classes
Course at a Glance
- Format
- Online, trainer-led
- Length
- 6 modules · 12 Hours (6 Sessions)
- Level
- Beginner–Mid
- Fee
- ₹14,999
- Trainer
- Celoris
- Certificate
- Yes, on completion
Who it's for: R / RStudio users, Data analysts, BI professionals, Fresh graduates, Working professionals upskilling in AI.
What You'll Learn
Navigate Jupyter Notebook / JupyterLab (the RStudio equivalent)
Master pandas (the Python data.frame) for efficient data manipulation
Clean messy data and perform group-by aggregations (dplyr replacement)
Create publication-quality interactive charts with plotly (ggplot2 replacement)
Run inferential statistics and regression analysis (lm/glm replacement)
Build ML pipelines with scikit-learn (caret/mlr3 replacement)
Integrate LLMs and build a Data Q&A Chain with AI agents
Build and deploy an interactive dashboard with Streamlit and FastAPI
Requirements
- •Basic computer literacy
- •No prior Python or R experience required (comparisons provided)
- •Laptop with internet access and at least 8 GB RAM recommended
Course Curriculum
Module 1: Python Setup, Jupyter & pandas Fundamentals
Installing Anaconda/Miniconda, virtual environments, JupyterLab vs RStudio IDE comparison, and Python data structure crash course.
Module 2: Data Wrangling & EDA
Cleaning messy data, Handling missing values, Data mapping from dplyr (R) to pandas (Python), and creating interactive charts with Plotly.
Module 3: Statistical Analysis & Visualisation
Hypothesis Testing (t-tests, ANOVA, Chi-square) and Regression Models using scipy and statsmodels. Residual and Q-Q plots in Python.
Module 4: Machine Learning with scikit-learn
The scikit-learn API workflow (caret replacement), classification vs regression models, feature importances, and hyperparameter tuning.
Module 5: AI & NLP: HuggingFace & LangChain
Sentiment analysis, building a Data Q&A Chain with LangChain pandas agent, and integrating LLM chatbots for conversational data analysis.
Module 6: Building & Deploying the AI App
Building the Sales Dashboard with Streamlit, integrating the AI Chatbot backend, and deploying live to Streamlit Community Cloud.
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Written by real Celoris students and checked by our team.
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Enrollment
₹14,999
Full course · live online classes
Current Batch
Running Now
Batch #42 · Weekends
LIVEOnline & Home
Seats Available
Only 3 Left!
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12 registered · 3 open
SEATS OPENAt a Glance
Course Details
- Next batch1 Oct
- Course fee₹14,999
- Duration12 Hours (6 Sessions)
- Home Tutors✓ NCR
- CertificateYes