CodePurple

Master Data Science with AI

Hands-on training in data analysis, machine learning, and AI toolsbuild the skills to solve real business problems.Hands-on training in data analysis,machine learning, and AI toolsbuild the skills to solve real business problems.

Duration
4 Months
Format
Online & Offline
Support
Lifetime
Placement
Placement Guidance

Turn Your Passion Into a Career

CodePurple

Master Data Sciencewith AI

Master data analysis, machine learning, and AI tools through hands-on training build the skills to solve real business problems.

  • Duration4 Months
  • FormatOnline & Offline
  • SupportLifetime
  • PlacementPlacement Guidance

Book Your Free Demo Class

❗ Note: Seats are filling up fast! Sivakasi's limited batch slots are closing soon — lock yours in today.
Success Stories

Success stories from Our Students

Discover how our students transformed their skills into successful tech careers through hands-on training, mentorship, and real-world project experience.

Dharanya Selvaraj

Accenture

Dharanya successful placement with Accenture upon completion of training at Code Purple Academy

In the Information Technology field, staying updated with current skills is crucial, and Code Purple Academy ensured I was well-prepared.Read More

Shanjana Suresh

Billion Face

Shanjana successful placement with Billion Face upon completion of training at Code Purple Academy

Code Purple Academy helped me learn new skills and coding languages while also giving me valuable insight into the IT sector.Read More

Sri Hari

Coastal Aquaculture Research Institute Pvt. Ltd

Sri Hari successful placement with Coastal Aquaculture Research Institute Pvt. Ltd upon completion of training at Code Purple Academy

Joining Code Purple Academy has been a game-changer for me. I was able to stay updated with the latest trends in the development field.Read More

Kishore

Billion Face

Kishore successful placement with Billion Face upon completion of training at Code Purple Academy

The Full Stack Development course at Code Purple Academy provided me with a solid foundation in both front-end and back-end technologies.Read More

Subash

ResultueTechno

Subash successful placement with ResultueTechno upon completion of training at Code Purple Academy

Code Purple Academy provided exceptional mentor support, daily tasks, and updates, which kept me on track throughout my learning journey.Read More

Sai

TCS

Sai successful placement with TCS upon completion of training at Code Purple Academy

Coming from an ECE background, Code Purple Academy helped me transition into coding, making me well-versed in Read More

Siva

Renault Nissan Technology & Business Centre India

Siva successful placement with Renault Nissan Technology & Business Centre India upon completion of training at Code Purple Academy

Code Purple Academy played a significant role in securing my job at Renault Nissan Technology & Business Centre India.Read More

Andrea Lincy

Haashtag HSI Pvt Ltd

Andrea Lincy successful placement with Haashtag HSI Pvt Ltd upon completion of training at Code Purple Academy

Code Purple Academy played a key role in helping me secure my position at Haashtag HSI Pvt Ltd.Read More

S. Mano Priya

Brand Mindz Global Technology

S. Mano Priya completed a UI/UX Internship with Brand Mindz Global Technology after training at Code Purple Academy

I’m truly grateful for the valuable learning experience I gained through the Front-End & UI/UX Design course at Code Purple Academy.Read More

Amuthapriya K

Slash Lab

Amuthapriya K successfully completed Full Stack Development training at Code Purple Academy and joined Slash Lab

My journey with the Code Purple Full Stack Development course was very useful and confidence-building.Read More

Abiilesh

Quest global

Abiilesh successfully completed Data Analaytics training at Code Purple Academy and joined Quest global

Code Purple Academy’s Data Analytics program helped me build strong analytical skills and understand how to work with real-world data.Read More

S.Nandhakumar

Gamantic

Nandhakumar successfully completed Data Analaytics training at Code Purple Academy and joined Gamantic

The Full Stack Development course at Code Purple Academy helped me understand how modern websites are built from start to finish.Read More

Harish T

Ascend Technologies

Harish successfully completed Full Stack Development training at Code Purple Academy and joined Ascend Technologies

My experience with the Code Purple Full Stack with Python course was highly beneficial. The training helped me understand Read More

Sathya Sri

Stutzen Technologies

Sathya Sri successfully completed Full Stack Development training at Code Purple Academy and joined Stutzen Technologies

My experience with the Code Purple Full Stack with Python course was highly beneficial. The training helped me understand Read More

Manikandan

Platinum Software

Manikandan successfully completed Full Stack Development training at Code Purple Academy and joined Platinum Software, Coimbatore

My mom thought I was playing games. Code Purple made sure I was building them.Read More

Nandhini

Shiash Focus on Deliverables

Nandhini successfully completed Full Stack Development training at Code Purple Academy and joined Shiash Focus on Deliverables, Chennai

Stack Overflow used to answer my questions. Now it asks mine.Read More

Dharanya Selvaraj

Accenture

In the Information Technology field, staying updated with current skills is crucial, and Code Purple Academy ensured I was well-prepared.Read More

Shanjana Suresh

Billion Face

Code Purple Academy helped me learn new skills and coding languages while also giving me valuable insight into the IT sector.Read More

Sri Hari

Coastal Aquaculture Research Institute Pvt. Ltd

Joining Code Purple Academy has been a game-changer for me. I was able to stay updated with the latest trends in the development field.Read More

Kishore

Billion Face

The Full Stack Development course at Code Purple Academy provided me with a solid foundation in both front-end and back-end technologies.Read More

Subash

ResultueTechno

Code Purple Academy provided exceptional mentor support, daily tasks, and updates, which kept me on track throughout my learning journey.Read More

Sai

TCS

Coming from an ECE background, Code Purple Academy helped me transition into coding, making me well-versed in Read More

Siva

Renault Nissan Technology & Business Centre India

Code Purple Academy played a significant role in securing my job at Renault Nissan Technology & Business Centre India.Read More

Andrea Lincy

Haashtag HSI Pvt Ltd

Code Purple Academy played a key role in helping me secure my position at Haashtag HSI Pvt Ltd.Read More

S. Mano Priya

Brand Mindz Global Technology

I’m truly grateful for the valuable learning experience I gained through the Front-End & UI/UX Design course at Code Purple Academy.Read More

Amuthapriya K

Slash Lab

My journey with the Code Purple Full Stack Development course was very useful and confidence-building.Read More

Abiilesh

Quest global

Code Purple Academy’s Data Analytics program helped me build strong analytical skills and understand how to work with real-world data.Read More

S.Nandhakumar

Gamantic

The Full Stack Development course at Code Purple Academy helped me understand how modern websites are built from start to finish.Read More

Harish T

Ascend Technologies

My experience with the Code Purple Full Stack with Python course was highly beneficial. The training helped me understand Read More

Sathya Sri

Stutzen Technologies

My experience with the Code Purple Full Stack with Python course was highly beneficial. The training helped me understand Read More

Manikandan

Platinum Software

My mom thought I was playing games. Code Purple made sure I was building them.Read More

Nandhini

Shiash Focus on Deliverables

Stack Overflow used to answer my questions. Now it asks mine.Read More

WHERE SKILLS LEAD

WHERE OUR STUDENTS LAND

We don't train you for just one job. We train you to think, build, and work the way modern tech teams do.

TCS
Accenture
Brand Mindz
Creedom
Quest Global
Aquaconnect
Nissan
Platinum Software
Cognizant
AccioJob
Mentor Match
tags
Shia#sh
IBM
Wipro

The Only Course You Need

CodePurple takes you from zero to job-ready — data analysis, machine learning, and AI tools.

12
Chapters
103
Lessons
6
Days

Curriculum

Syllabus Overview

A practical, project-based syllabus built to make you job-ready in Data Science.

Chapter 01

Business Statistics & Probability

6 topics — Chapter 1

This phase builds the statistical foundation required for data science. Students will learn to summarize and visualize data, understand probability and distributions, perform hypothesis tests, and apply statistical concepts to real-world business problems such as customer churn and A/B testing.

  • 01Descriptive Statistics — I
  • 02Descriptive Statistics — II
  • 03Probability & Distributions
  • 04Hypothesis Testing
  • 05A/B Testing & Bayesian Thinking
  • 06Practice — Customer Churn Analysis
Chapter 02

Excel & Data Tools

11 topics — Chapter 2

This phase develops practical spreadsheet and data-handling skills for data science. Students will learn Excel functions, data cleaning, Power Query, PivotTables, dashboards, Power Pivot, DAX, Python spreadsheet automation, and Google Sheets collaboration through real-world projects and assessments.

  • 01Excel Interface & Core Functions
  • 02Data Cleaning & Validation
  • 03Power Query — Day 1
  • 04Power Query — Day 2
  • 05Pivot Tables & Dashboards — Day 1
  • 06Pivot Tables & Dashboards — Day 2
  • 07Power Pivot & DAX in Excel
  • 08Python Automation for Spreadsheets
  • 09Excel Case Study — Sales Analysis
  • 10Google Sheets & Collaboration — Day 1
  • 11Google Sheets & Collaboration — Day 2
Chapter 03

SQL & Modern Data Querying

12 topics — Chapter 3

This phase develops strong SQL skills for data analysis and modern data engineering workflows. Students will learn SQL fundamentals, aggregations, joins, subqueries, CTEs, window functions, query optimization, cloud databases, dbt, database security, and NoSQL concepts through practical datasets and assessments.

  • 01SQL Foundations
  • 02Aggregation & GROUP BY
  • 03Joins
  • 04Subqueries & CTEs
  • 05Window Functions
  • 06CASE, String & Date Functions
  • 07Query Optimization & Indexing
  • 08Cloud Databases
  • 09dbt — Data Build Tool
  • 10Views, Stored Procedures & Security
  • 11Practice — HR Analytics Dataset
  • 12NoSQL & Document Databases
Chapter 04

Python for Data Science

19 topics — Chapter 4

This phase develops practical Python skills for data science, progressing from Python foundations to Pandas, NumPy, data visualization, EDA, feature engineering, preprocessing, dashboards, API integration, Git/GitHub, and cloud-based data science workflows.

  • 01Python Foundations
  • 02Functions & Modules
  • 03OOP — Essentials Only
  • 04File Handling & Exception Handling
  • 05Pandas — Data Manipulation — Day 1
  • 06Pandas — Data Manipulation — Day 2
  • 07NumPy — Numerical Computing
  • 08Matplotlib & Plotly
  • 09Seaborn & Advanced Visualization
  • 10Exploratory Data Analysis (EDA)
  • 11Feature Engineering
  • 12Encoding & Preprocessing
  • 13Streamlit — Python Dashboarding
  • 14API Integration & Data Collection
  • 15Case Study — Customer Segmentation
  • 16Git, GitHub & Collaboration
  • 17GitHub Actions — Basic CI Pipeline
  • 18Cloud Compute for Data Science
  • 19SageMaker Studio — Introduction
Chapter 05

Power BI (with Copilot)

7 topics — Chapter 5

This phase develops practical Power BI skills for business intelligence and data analytics. Students will learn to connect and clean data, build data models, write DAX measures, create interactive dashboards, work with AI-powered visuals, and publish reports through Power BI Service.

  • 01Power BI Interface & Connecting Data
  • 02Power Query in Power BI
  • 03Data Modelling & Relationships
  • 04DAX — Data Analysis Expressions
  • 05Interactive Dashboards & Visuals
  • 06Case Study — HR Analytics Dashboard
  • 07Power BI Service & Governance
Chapter 06

Tableau & Python Dashboarding

5 topics — Chapter 6

This phase expands dashboarding skills beyond Power BI. Students will learn Tableau for data visualization, calculated fields, LOD expressions, filters, dashboards, and storytelling, along with Python-based dashboarding using Plotly Dash and Google Looker Studio. The chapter concludes with an integrated project comparing multiple dashboarding platforms.

  • 01Tableau Desktop — Interface & Data
  • 02Calculated Fields, LOD & Filters
  • 03Dashboards & Stories
  • 04Plotly Dash — Python Dashboarding
  • 05Google Looker Studio
Chapter 07

Machine Learning & MLOps

14 topics — Chapter 7

This phase introduces the fundamentals of machine learning and takes students through regression, classification, tree-based models, SVM, KNN, clustering, dimensionality reduction, and model evaluation. Students will also work on practical ML case studies and learn essential MLOps concepts including FastAPI deployment, MLflow experiment tracking, and responsible AI practices.

  • 01Introduction to Machine Learning
  • 02Regression & Regularization
  • 03Logistic Regression & Classification
  • 04Decision Tree & Random Forest
  • 05SVM & KNN
  • 06Evaluation Metrics Deep Dive
  • 07Hyperparameter Tuning
  • 08Clustering — K-Means, DBSCAN & Hierarchical
  • 09Dimensionality Reduction — PCA, t-SNE & UMAP
  • 10Case Study — House Price Prediction
  • 11Case Study — Customer Segmentation
  • 12MLOps — Model Deployment with FastAPI
  • 13MLflow & Experiment Tracking
  • 14AI Ethics & Responsible ML
Chapter 08

Advanced Machine Learning & AI Ethics

6 topics — Chapter 8

This phase advances students from foundational machine learning into powerful boosting algorithms, model explainability, production monitoring, and real-world risk and fraud applications. Students will work with XGBoost, LightGBM, CatBoost, SHAP, LIME, and drift detection while completing practical projects involving credit risk, loan defaults, and fraud detection. The chapter concludes with an end-to-end advanced ML assessment.

  • 01Gradient Boosting & XGBoost
  • 02LightGBM & CatBoost
  • 03Model Explainability — SHAP & LIME
  • 04Model Monitoring & Drift Detection
  • 05Project Day 1 — Credit Risk & Fraud Detection
  • 06Project Day 2 — Loan Default Prediction
Chapter 09

Deep Learning, NLP & LLM Engineering

13 topics — Chapter 9

This phase moves students from neural-network fundamentals into modern deep learning, computer vision, transformers, NLP, vector databases, RAG, LLM fine-tuning, and AI agents. Students will progress from building neural networks and CNNs to using Hugging Face models, semantic search, retrieval-augmented generation, parameter-efficient fine-tuning, and LangGraph-based agent workflows. The chapter concludes with a full end-to-end data science and AI capstone.

  • 01Neural Networks & PyTorch
  • 02Convolutional Neural Networks (CNN)
  • 03Transformer Architecture
  • 04Hugging Face Ecosystem
  • 05Case Study — Image Classification & Sentiment Analysis
  • 06Prompt Engineering for Practitioners
  • 07Project — Deep Learning
  • 08Modern NLP Pipeline
  • 09Vector Databases & Semantic Search
  • 10RAG — Retrieval-Augmented Generation
  • 11LLM Fine-Tuning
  • 12AI Agents & LangGraph
  • 13Capstone — Full Data Science & AI Pipeline
Chapter 10

Placement Preparation

4 topics — Chapter 10

Placement Preparation focuses on job readiness, including resume building, interview techniques, and portfolio development to effectively showcase your skills and secure a position in the tech industry.

  • 01Resume Building
  • 02Interview Techniques
  • 03Portfolio Development
  • 04Showcasing Your Skills
Chapter 11

Profile Building

3 topics — Chapter 11

Profile Building: LinkedIn, HackerRank focuses on optimizing your LinkedIn profile and leveraging HackerRank to display your coding skills, helping you enhance your professional image and increase job opportunities.

  • 01LinkedIn Optimization
  • 02HackerRank Profile
  • 03Professional Branding
Chapter 12

Mock Interviews & GD

3 topics — Chapter 12

Mock Interviews & Group Discussions provides practice through simulated interviews and collaborative discussions, enhancing your communication skills, interview performance, and ability to work effectively in team settings.

  • 01Mock Technical Interviews
  • 02Group Discussions
  • 03Communication & Team Skills
Google

4.7/5

Google Rating

(Based on 500+ verified reviews)

More Than Reviews.
Real Career Transformations

Real feedback from learners who trusted Code Purple for their tech careers.

▶

Joining the Data Science course at Code Purple has been one of the best decisions I’ve made for my career. I came in with a lot of doubts, but the trainers here made everything feel possible. Their patience, clarity, and genuine effort toward each student mean a lot. The atmosphere is positive, and working on real-time projects really opened my eyes to how the industry works. I’m truly happy with my progress and would recommend this academy to anyone who wants to grow in a supportive environment.

Haripriya

Haripriya

★★★★★

Mentors

Meet your mentors

Learn from mentors who build real products for real companies and train you the exact same way industry teams work.

Abishek

Abishek

[DATA SCIENCE AND DATA ANALYTICS]

Thangamalai

Thangamalai

[CAREER AND GROWTH]

CODEPURPLE GALLERY

A Glimpse IntoCodePurple Life

Our classrooms, our celebrations, our students a peek into everyday moments at CodePurple.

Learning side by side

Learning side by side

A mentor leans in over the laptop while two learners follow the screen — walking through the problem together, not from across the room.

Welcome to CodePurple

Welcome to CodePurple

The entrance wall: our purple mark on textured concrete, lit from above, next to the marble stair — a unit of Vimix Technologies LLP.

Peer-to-peer reviews

Peer-to-peer reviews

Three developers at the long wooden desk — one pointing at a laptop, another typing, the third locked on the same screen.

A focused work floor

A focused work floor

Rows of wooden desks, grass-topped partitions, and linear lights — the team heads-down on laptops in the open office.

Wins we celebrate

Wins we celebrate

A handshake over a Congrats cake, purple wall behind them — we stop for milestones, not only for deadlines.

The moments in between

The moments in between

Confetti in the air, colleagues clapping around a cake — birthdays and small wins get the same energy as a ship day.

Technologies You'll Master

We specialize in Python, Machine Learning, and Data Visualization — the exact tools companies use to make data-driven decisions.

PythonPython
PandasPandas
NumPyNumPy
MySQLMySQL
ExcelExcel
Power BIPower BI
TableauTableau
JupyterJupyter
scikit-learnscikit-learn
PlotlyPlotly

FAQ

Frequently Asked Questions

Absolutely. No prior coding or data science experience is required. We start with Python fundamentals and gradually move into data analysis, machine learning, and AI. Every concept is taught through practical exercises, so learning feels natural even if you're starting from scratch.

Build the AI Skills That Shape the Future.

Learn, build, and deploy real AI solutions with hands-on projects, expert mentorship, and industry-focused learning.

CodePurpleAcademy
Master Data Science with AI | CodePurple