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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.
Verified Student Reviews
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 Nov
- Course fee₹14,999
- Duration12 Hours (6 Sessions)
- Home Tutors✓ NCR
- CertificateYes