CodePurple

Master Data Sciencewith Machine Learning & AI.Master Data Sciencewith ML & AI.

Hands-on training in data analysis, machine learning, and AI tools —build the skills to solve real business problems.Hands-on training in data analysis,machine learning, and AI tools —build 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 Machine Learning & 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

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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

Nikeathana

ML Engineer, Cognizant

Nikeathana successfully completed Data Science training at Code Purple Academy and joined Cognizant as an ML Engineer

My experience with Code Purple Academy’s Data Science course was very valuable and helped me build a strong foundation in data science and machine learning.Read More

Dharshini

Associate Data Scientist, Accenture

Dharshini successfully completed Data Science training at Code Purple Academy and joined Accenture as an Associate Data Scientist

Code Purple Academy’s Data Science course gave me a clear understanding of the concepts and practical skills required to work with data.Read More

Menaka

Full Stack Developer, Cognizant

Menaka successfully completed Full Stack Development training at Code Purple Academy and joined Cognizant as a Full Stack Developer

My experience with Code Purple Academy’s Full Stack Development course was very practical and helpful in building my development skills.Read More

Mithra

Software Engineer, Zoho

Mithra successfully completed Full Stack Development training at Code Purple Academy and joined Zoho as a Software Engineer

Code Purple Academy’s Full Stack Development program gave me a strong practical understanding of modern web development.Read More

Aaradhaya

Data Scientist, Honeywell

Aaradhaya successfully completed Data Science training at Code Purple Academy and joined Honeywell as a Data Scientist

My journey with Code Purple Academy’s Data Science course was a very informative and rewarding experience.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

Nikeathana

ML Engineer, Cognizant

My experience with Code Purple Academy’s Data Science course was very valuable and helped me build a strong foundation in data science and machine learning.Read More

Dharshini

Associate Data Scientist, Accenture

Code Purple Academy’s Data Science course gave me a clear understanding of the concepts and practical skills required to work with data.Read More

Menaka

Full Stack Developer, Cognizant

My experience with Code Purple Academy’s Full Stack Development course was very practical and helpful in building my development skills.Read More

Mithra

Software Engineer, Zoho

Code Purple Academy’s Full Stack Development program gave me a strong practical understanding of modern web development.Read More

Aaradhaya

Data Scientist, Honeywell

My journey with Code Purple Academy’s Data Science course was a very informative and rewarding experience.Read More

Connecting Trained Talent with Industry

We connect trained, industry ready students with companies seeking skilled talent, creating value for both employers and future professionals.

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
4
Months

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.

  • 1Descriptive Statistics — I
  • 2Descriptive Statistics — II
  • 3Probability & Distributions
  • 4Hypothesis Testing
  • 5A/B Testing & Bayesian Thinking
  • 6Practice — 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.

  • 1Excel Interface & Core Functions
  • 2Data Cleaning & Validation
  • 3Power Query — Day 1
  • 4Power Query — Day 2
  • 5Pivot Tables & Dashboards — Day 1
  • 6Pivot Tables & Dashboards — Day 2
  • 7Power Pivot & DAX in Excel
  • 8Python Automation for Spreadsheets
  • 9Excel 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.

  • 1SQL Foundations
  • 2Aggregation & GROUP BY
  • 3Joins
  • 4Subqueries & CTEs
  • 5Window Functions
  • 6CASE, String & Date Functions
  • 7Query Optimization & Indexing
  • 8Cloud Databases
  • 9dbt — 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.

  • 1Python Foundations
  • 2Functions & Modules
  • 3OOP — Essentials Only
  • 4File Handling & Exception Handling
  • 5Pandas — Data Manipulation — Day 1
  • 6Pandas — Data Manipulation — Day 2
  • 7NumPy — Numerical Computing
  • 8Matplotlib & Plotly
  • 9Seaborn & 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.

  • 1Power BI Interface & Connecting Data
  • 2Power Query in Power BI
  • 3Data Modelling & Relationships
  • 4DAX — Data Analysis Expressions
  • 5Interactive Dashboards & Visuals
  • 6Case Study — HR Analytics Dashboard
  • 7Power 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.

  • 1Tableau Desktop — Interface & Data
  • 2Calculated Fields, LOD & Filters
  • 3Dashboards & Stories
  • 4Plotly Dash — Python Dashboarding
  • 5Google 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.

  • 1Introduction to Machine Learning
  • 2Regression & Regularization
  • 3Logistic Regression & Classification
  • 4Decision Tree & Random Forest
  • 5SVM & KNN
  • 6Evaluation Metrics Deep Dive
  • 7Hyperparameter Tuning
  • 8Clustering — K-Means, DBSCAN & Hierarchical
  • 9Dimensionality 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.

  • 1Gradient Boosting & XGBoost
  • 2LightGBM & CatBoost
  • 3Model Explainability — SHAP & LIME
  • 4Model Monitoring & Drift Detection
  • 5Project Day 1 — Credit Risk & Fraud Detection
  • 6Project 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.

  • 1Neural Networks & PyTorch
  • 2Convolutional Neural Networks (CNN)
  • 3Transformer Architecture
  • 4Hugging Face Ecosystem
  • 5Case Study — Image Classification & Sentiment Analysis
  • 6Prompt Engineering for Practitioners
  • 7Project — Deep Learning
  • 8Modern NLP Pipeline
  • 9Vector 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.

  • 1Resume Building
  • 2Interview Techniques
  • 3Portfolio Development
  • 4Showcasing 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.

  • 1LinkedIn Optimization
  • 2HackerRank Profile
  • 3Professional 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.

  • 1Mock Technical Interviews
  • 2Group Discussions
  • 3Communication & 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

★★★★★

They Learned It. Then They Built It.

From data concepts to real predictions — see how our students apply data analysis, machine learning, and AI to solve real business problems.

Sushmitha P.

Sushmitha P.

BCA Student · Full Stack Development

A responsive personal portfolio website designed to showcase professional experience, technical skills, projects, education, and contact information. The website provides a clean and interactive interface that allows visitors to explore projects and learn more about the developer's background and capabilities.

  • #React
  • #Next.js
  • #Tailwind CSS
Sushmitha P. personal portfolio website
View Project →
Shanjana Suresh

Shanjana Suresh

UI/UX Designer · Billion Face

This project is a modern organic e-commerce website that allows users to explore and shop for a wide range of natural and organic products. It includes product categories, featured products, offers, best sellers, customer reviews, and brand sections. The website provides a clean and user-friendly interface with product cards, pricing, discounts, and shopping-related features. It is designed to provide a smooth and responsive shopping experience across different screen sizes.

  • #HTML5
  • #CSS3
  • #JavaScript
  • #Responsive Web Design
  • #Vercel
Organic store e-commerce website
View Project →
Dharanya Selvaraj

Dharanya Selvaraj

Data Analyst · Accenture

A frontend-only e-commerce storefront for a fictional neighbourhood grocery in Mylapore, Chennai. It sells fresh produce, dairy, bakery, pantry staples and beverages with same-day delivery, and the whole shopping journey — browse, filter, add to cart, apply a promo code, check out — runs entirely in the browser with no server, no database, and no API calls.

  • #TypeScript
  • #React
  • #Vercel
Verdant Grocers neighbourhood grocery storefront
View Project →
Sri Hari

Sri Hari

Engineering Intern · Coastal Aquaculture

CRM Pro is a modern customer relationship management dashboard designed to manage leads, customers, sales activities, and business operations from a centralized interface. It provides a clean dashboard with analytics, tables, navigation, and management sections for easy data monitoring. The interface is designed with a professional SaaS-style layout and responsive components. It focuses on making CRM workflows simple, organized, and easy to manage.

  • #React
  • #Next.js
  • #TypeScript
  • #Tailwind CSS
CRM Pro sales pipeline dashboard with analytics and navigation
View Project →
Kishore

Kishore

Full Stack Developer · Billion Face

Loom & Larch — Furniture E-commerce Website. A modern, premium furniture brand website designed to showcase handcrafted furniture made from natural materials such as solid walnut, oak, undyed wool, and travertine. The website presents the brand's product collection, craftsmanship, materials, showroom information, and sustainability philosophy through an editorial-style, visually focused interface. It also includes product browsing and a frontend shopping-cart experience.

  • #React / Next.js
  • #CSS / Tailwind CSS
  • #JavaScript
Loom & Larch furniture e-commerce website
View Project →
Subash

Subash

Full Stack Developer · ResultueTechno

This project is a modern affiliate marketing platform designed to manage affiliate campaigns, partners, referrals, commissions, and performance analytics. It provides a dashboard-style interface for monitoring marketing activities and tracking affiliate performance. The UI uses cards, tables, charts, and organized navigation to present business information clearly. The design follows a clean, responsive SaaS dashboard approach suitable for an affiliate management system.

  • #React
  • #Next.js
  • #TypeScript
  • #Tailwind CSS
Affiliate marketing platform homepage and campaign dashboard
View Project →

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]

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