Career-Focused Data Science & Machine Learning Certification courses
In this practical data science and machine learning course, you will learn Python, MySQL, and core ML concepts through real-time projects and hands-on practice. We focus on clear understanding, daily exercises, and solving real business problems using real datasets. By the end of the training, you will be ready to apply for data science and machine learning job roles with confidence.
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4.7 (350+ Google Reviews)
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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 data science & machine learning course has helped students secure jobs in top IT companies by mastering Python, MySQL, and real-world ML projects. With strong hands-on training and interview-focused preparation, students build the skills companies actively hire for in today’s data-driven industry.
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Why choose Code Purple - Dindigul
Get ready to transform your career with the right mix of practical experience, personalized guidance, and real-world preparation. This course is built to help you grow your skills, gain confidence, and step into the data science world fully prepared to succeed.
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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 Dindigul. Join Code Purple Academy’s Data Science Course in Dindigul 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
In this data science & machine learning course, you’ll learn the tools that real data professionals use in their daily work. We focus on helping you understand how to handle data, build models, and solve practical problems step by step. By the end, you’ll be comfortable using these tools together in real-time projects with confidence.
Machine Learning
Tableau
TensorFlow
Python
Scikit-Learn
MySQL
Launch Your
Data Science Career Today
This course is designed to help you level up your skills and tackle real-world data problems with confidence. With practical learning and guided mentorship, you’ll be ready to take on exciting opportunities in data science and machine learning.
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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 turned their learning into real success, achieving their career goals with practical training and guidance every step of the way.
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
Find answers to the most frequently asked questions about the course. If you need more details, feel free to contact our team for quick guidance and support.
1. What is data science & Machine Learning Course?
You’ll also see how data drives decisions in almost every field from banking to healthcare to retail. By working on real datasets, you’ll get a clear idea of how businesses take raw numbers and turn them into insights that guide strategy. It’s like learning the secret behind how companies make smarter decisions every day.
By the end of the course, you won’t just understand data; you’ll be confident using it to solve problems and create results. You’ll have projects to show employers, skills to impress in interviews, and the experience of actually doing the work that data professionals handle in their jobs.
2. Who can join this Data Science & Machine Learning Course?
Many students who joined earlier were complete beginners. Some didn’t even know basic coding at the start. But with regular practice and guidance, they slowly improved and built confidence. If you are ready to put in the effort, you can definitely be part of this journey.
3. Do I need prior coding experience to join the Data Science & Machine Learning Course?
In the first few weeks, we focus on simple exercises. Nothing complicated. You’ll understand how things work step by step. Once you practice regularly, coding will start to feel normal, not scary. That’s when your confidence really grows.
The key is consistency. Even 30-45 minutes of daily practice makes a big difference. With proper guidance and patience, you’ll be surprised at how quickly you improve. Everyone starts somewhere, and this course is designed to help you start comfortably.
4. What will I learn in the Data Science & Machine Learning Course?
As we move forward, you’ll learn how to think logically when solving problems. Instead of just running commands, you’ll understand why you’re doing something and what result to expect. Step by step, you’ll build models that can predict outcomes based on past data, just like companies do when they plan their next move.
By the end of the course, you won’t just “know the topics.” You’ll have completed real projects that you can confidently explain in interviews. More importantly, you’ll understand how to approach a problem, break it down, and solve it using data - and that confidence makes all the difference.
5. Will I get hands-on practice in the Data Science & Machine Learning Course?
In every class, there will be practical sessions. I’ll show you first, then you’ll try it on your own. If you make mistakes, that’s completely fine - that’s how you learn. We’ll correct it together and understand why it happened.
By the end of the course, you won’t feel like you just “studied” data science. You’ll feel like you’ve actually done the work. That practical experience is what gives you real confidence during interviews and on the job.
6. How long is the Data Science & Machine Learning Course?
In the beginning, we focus on building a strong foundation. Once you’re comfortable, we slowly move into advanced topics and real-time projects. This step-by-step method helps you learn without feeling confused or stressed.
By the end of 4 months, you won’t just complete a course - you’ll feel confident because you’ve had enough time to practice, ask questions, and truly understand how things work.
7. Will this Data Science & Machine Learning Course help me get a job?
During the course, we also focus on resume preparation and mock interviews. I’ll guide you on how to explain your projects in simple words, because companies want to see your understanding, not just technical terms. Many students felt nervous before interviews, but after practice sessions, they attended confidently.
Of course, getting a job depends on your effort too. If you attend regularly, complete your projects properly, and practice consistently, this course will definitely put you in a strong position to get hired in the data.
8. Will I receive a certificate after completing the Data Science & Machine Learning Course?
More importantly, the course helps you build real skills that employers look for in Data Science jobs. Along with the certificate, you’ll have hands-on project experience to confidently showcase in interviews and strengthen your resume for data-related career opportunities.
9. Are there any payment plans or financial support options for the Data Science & Machine Learning Course?
Our goal is to make this data science & machine learning course accessible to serious learners. If you are genuinely interested in building a career in data science but are worried about fees, just reach out to us. We will explain the available options clearly and help you plan in a comfortable way.
10. How do I get more details or join the Data Science & Machine Learning Course?
You can also visit our center for a direct discussion about the curriculum, live projects, and job assistance program. We make sure every student gets proper guidance before enrollment, so you can confidently start your journey toward a successful career in data science and machine learning.
