Advanced Data Science Course in Madurai | AI ML Python Training.
Speed up your career with Code Purple Academy’s in-depth Data Science & Machine Learning program. This practical training helps you build the skills needed to analyze data, apply machine learning methods, and confidently tackle real-world challenges using modern data technologies.
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4.7 (350+ Google Reviews)
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Phone Number
How you find us ?
Current profile
Duration
4 Months
Mode
Online & Offline
Projects
5+ Industry-Grade Projects
Support
Lifetime
Duration
4 Months
Mode
Online & Offline
Projects
5+ Industry-Grade Projects
Support
Lifetime
Where Our Graduates Shine
Our graduates have successfully landed positions in leading companies, including.
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Why choose Code Purple - Madurai
Code Purple helps you stand apart by providing the right combination of practical skills, expert mentorship, and strong industry-focused preparation.
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Resume building that cracks ATS software
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Training by industry experts
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5hands-on projects
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Mock interviews & Group discussions
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HackerRank profile development
Santhosh
Full Stack Developer
Coimbatore, India
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LinkedIn profile
optimization
Take the first step towards your dream IT career in Madurai. Join Code Purple Academy’s Data Science Course in Madurai today!
Daily Life Clones:
Recreating Everyday Apps
for Practical Learning
Your Personal Learning Hub
Explore your own student portal — track progress, practice daily, stay organized, and manage your entire learning journey in one place.
Course Progress
Track every module, lesson, and milestone with clear
visual progress indicators.
Performance & Support
View your score dashboard, track
improvement, and raise grievances
for quick support.
Practice Zone
Sharpen your skills with coding challenges, MCQs, and regular practice tests.
Support Beyond the Classroom
Tools Covered
Overview of the core tools and technologies covered during the Data Science course, helping learners understand the methods, techniques, and workflows used while working on real-world data science projects.
Machine Learning
Tableau
TensorFlow
Python
Scikit-Learn
MySQL
Launch Your
Data Science Career Today
Begin your path to a successful IT career in Madurai by joining Code Purple Academy’s Data Science Course in Madurai today.
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Data Science Course
Explore our Data Science course: practical skills, real-world projects, and job-ready training.
In Partnership with
Working with top colleges to provide essential full stack development training for student success.
ANJAC, Sivakasi
SFRC, Sivakasi
PSG, Coimbatore
In Partnership with
Working with top colleges to provide essential full stack development training for student success.
ANJAC, Sivakasi
SFRC, Sivakasi
PSG, Coimbatore
Syllabus Overview
Modern syllabus with practical learning and interview preparation to make you job-ready.
Module 1: Introduction to Data Science
Learn the role of a Data Scientist and the significance of data in today's world.
Module 2: Excel
Excel Basics:
- Workbooks, Worksheets, Cells, and Ranges.
- Basic functions: SUM, AVERAGE, COUNT, MIN, MAX.
- Sorting, Filtering, and Formatting Data.
Intermediate Excel:
- Conditional Formatting, Data Validation.
- Lookup Functions: VLOOKUP, HLOOKUP, INDEX, MATCH.
- Working with Dates and Time functions
- Basic Charts and Graphs (Bar, Line, Pie)
Module 3: Python
- Python syntax: Variables, Data Types (int, float, string)
- Data Structures and Methods
- Control flow: if-else, for loops, while loops.
- Functions
- Basic OOPs
- Advanced OOPs
- File and Error Handling
- Modules, Packages and Libraries
Module 4: SQL
- Introduction to relational databases and SQL.
- Basic SQL commands: SELECT, FROM, WHERE, ORDER BY.
- Filtering Data with AND, OR, NOT, and comparison operators.
- Aggregation Functions: COUNT(), AVG(), SUM(), MIN(), MAX().
- Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN.
- Subqueries: SELECT within SELECT.
- GROUP BY and HAVING: Aggregating data by groups.
- Advanced Filtering: Working with LIKE, IN, and wildcards.
- Data Cleaning: Handling NULL values and duplicates.
Module 5: Tableau
- Installing Tableau and connecting to data sources (Excel, SQL, etc.).
- Data Preparation in Tableau: Cleaning, filtering, and transforming data.
- Basic Visualization Types: Bar charts, line charts, scatter plots, and pie charts.
- Formatting and customizing visualizations (titles, labels, colors, etc.).
- Calculations in Tableau: Basic calculated fields (e.g., profit margins, growth rates).
- Table Calculations: Running totals, percent of total, moving averages.
- Building Interactive Dashboards: Filters, parameters, and dynamic actions.
- Storytelling with Data: Creating data-driven narratives and dashboards.
Module 6: Power BI
- Installing Power BI and connecting to data sources (Excel, SQL, web, APIs).
- Power Query for Data Transformation: Cleaning and reshaping data before analysis.
- Basic Visualization Types in Power BI: Bar, line, pie charts, maps.
- Introduction to DAX (Data Analysis Expressions): Basic calculations (e.g., sum, average, and count).
- Data Modeling: Relationships between tables, star schema, fact and dimension tables.
- Advanced DAX: Calculated columns, measures, and time intelligence functions.
- Building and customizing Dashboards: Filters, slicers, drill-through actions.
- Publishing and Sharing Reports: Export to PDF, share via Power BI Service.
Module 7: Statistic & Probability
Covers Central Tendency measures, variance, standard deviation, probability, key distributions, hypothesis testing, sampling, and A/B testing for data-driven decisions.
Module 8: Machine Learning
Introduces regression, classification, decision trees, random forests, clustering, PCA, ensemble methods like XGBoost, and hyperparameter tuning.
Module 9: Deep Learning & NLP
Teaches neural networks, CNNs, RNNs/LSTMs, training techniques, and NLP concepts including tokenization, embeddings, text classification.
Module 10: Capstone Project and Portfolio Development
Capstone Project: Choose a real-world dataset (e.g., sales, marketing, or customer data)
- Includes dashboards, prediction models, sentiment analysis, image classification, and recommendation systems to build industry-ready practical skills.
Portfolio Creation: Upload your projects to GitHub, LinkedIn, or a personal website.
- Write clear documentation for each project, explaining your process and insights.
- Highlight the tools and techniques used in each project.
Discover What Makes Us Unique
Key Features That Set Us Apart from the Rest
Leading Professionals
Hands-On Training
Career Guidance
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
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
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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
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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
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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
FAQ's
Here are a few frequently asked questions and answers to guide you. If your question isn’t listed here, please feel free to reach out to us.
1. What is the Data Science Course offered at Code Purple Academy in Madurai ?
The course emphasizes practical learning rather than only theoretical knowledge. Students explore how these concepts are applied in real business scenarios, technical assessments, and job interviews. The training approach helps learners understand the logic behind solving data problems instead of simply memorizing concepts.
The program is fully hands-on, allowing students to work with real datasets, practical case studies, and live projects that mirror real tasks handled by data analysts and data scientists in the IT industry. This practical exposure helps learners develop confidence in handling data-driven challenges.
Classes are conducted by experienced industry professionals who provide insights into real-world workflows, current tools, and best practices used in modern data teams. Their guidance ensures that students gain both technical knowledge and practical problem-solving abilities.
By the end of the program, learners build a strong foundation in data science, complete multiple real-world projects, and receive structured interview preparation. Code Purple Academy also provides resume guidance, mock interviews, and placement assistance to help students confidently apply for roles such as Data Analyst, Junior Data Scientist, and Machine Learning Engineer.
2. How long is the Data Science course?
During the first phase of the course, students learn the core foundations of data science, including Python programming, statistics, and data analysis. These topics are essential for building analytical thinking and understanding how data is processed. As the training progresses, learners move into more advanced areas like machine learning algorithms, predictive modeling, and data visualization.
The program also focuses heavily on practical learning and real project experience. Students work with datasets, solve case studies, and build projects similar to real industry tasks. By the end of the four months, learners gain the confidence and technical knowledge required to apply for entry-level roles such as Data Analyst or Junior Data Scientist.
3. Are weekend batches not available for the Data Science Course in Madurai?
The weekday sessions are designed to provide the same comprehensive learning experience, covering the full curriculum including Python programming, statistics, data analysis, and machine learning concepts. The training approach focuses on practical understanding and real-world application of data science techniques.
Students attending the weekday batches receive complete access to hands-on projects, trainer guidance, and course learning materials. This ensures every learner gains the practical knowledge and industry-ready skills required to build a successful career in data science.
4. Who can join this Data Science course?
Individuals from backgrounds such as engineering, computer science, mathematics, business, commerce, or even non-technical fields can enroll in the course. Since the training begins with the fundamentals like Python programming and statistics, beginners can gradually develop their knowledge and skills without feeling overwhelmed.
The course is also ideal for professionals who want to switch careers or upgrade their technical skills. With structured guidance, practical exercises, and real-world projects, learners can build the confidence required to enter roles such as Data Analyst or Junior Data Scientist.
5. What tools and technologies will I learn in the Data Science course?
Students also learn important libraries and frameworks such as NumPy, Pandas, Matplotlib, and Scikit-learn, which help in data manipulation, visualization, and machine learning model development. These tools are essential for performing real-world data analysis tasks.
In addition to programming tools, the course also includes data visualization platforms and analytical techniques that help present insights clearly. By learning these technologies, students gain practical knowledge of the tools commonly used by data professionals.
6. Does the course include real-time projects?
Students work with real datasets and industry-style case studies, which help them analyze data, identify patterns, and build predictive models. These projects simulate the type of work data professionals perform in real companies.
By completing these projects, students build a strong portfolio that can be showcased during job interviews. This hands-on experience helps them demonstrate their skills and improves their confidence in solving real data problems.
7. Do you provide placement support after the Data Science Course?
Students receive guidance on resume preparation, portfolio creation, and interview preparation. Trainers help learners present their project work effectively so they can demonstrate their practical experience during interviews. Mock interview sessions are also conducted to help students improve their confidence and communication skills.
In addition, students receive support in applying for relevant job roles and connecting with hiring opportunities. With project experience and industry-focused training, learners can apply for positions such as Data Analyst, Junior Data Scientist, or Machine Learning Engineer with greater confidence.
8. What is the mode of training?
Students learn through interactive classroom sessions, practical exercises, and guided project work. Trainers explain the concepts step by step and help learners apply those concepts using real datasets and tools.
This learning approach ensures that students develop practical skills while understanding the theory behind data science techniques. The combination of instructor guidance and hands-on practice helps learners gain a deeper understanding of the subject.
9. Is career guidance provided after joining the Data Science course?
Students receive guidance on career planning, skill development, and understanding industry expectations. Trainers explain which skills are important for different roles and how students can prepare themselves for those opportunities.
This guidance helps learners identify suitable career paths and build a strong professional profile before entering the job market.
10. How can I enroll in the Data Science Course in Madurai?
After receiving the information, learners can complete the registration process and confirm their enrollment. The team provides guidance during this process so students understand the course structure and training schedule.
Once enrolled, students gain access to the full training program, learning materials, and instructor support, allowing them to begin their data science learning journey.
