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Data Science Course in Coimbatore with Placement Support
Coimbatore is quickly becoming a strong IT and startup hub in Tamil Nadu. Many product-based companies and growing tech startups in and around the city are actively looking for skilled professionals in data analytics, machine learning, and artificial intelligence.
At Code Purple Academy, our Data Science course in Coimbatore is designed for fresh graduates and working professionals who want to build a real, long-term career in data science. Instead of focusing only on theory, we train you through hands-on sessions, real-world projects, and practical use of industry-standard tools. By the end of the course, you won’t just understand concepts; you’ll know how to apply them confidently in real job scenarios.
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4.7 (350+ Google Reviews)
I'M INTERESTED
Name
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 alumni who successfully completed our data science program in Coimbatore have secured roles at top-tier companies, including
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Why choose Code Purple - Coimbatore
Code Purple ensures you stand out in the data science field with the perfect blend of technical skills, expert guidance, and industry-ready training.
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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 Coimbatore with Code Purple Academy’s data science course in Coimbatore. Enroll today and shape your future in data science.
Daily Life Clones:
Recreating Everyday Apps
for Practical Learning
Enroll now to take the first step towards becoming a Data Science expert. Access our flexible learning modules and master essential tools and technologies such as:
Tools Covered
As part of our data science course, you will learn to work with essential tools below
Machine Learning
Tableau
TensorFlow
Python
Scikit-Learn
MySQL
Launch Your
Data Science Career Today
Ready to dive into the world of data? Enroll now and transform your career with Code Purple Academy.
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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
See how our students have succeeded in achieving their goals with our training program.
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 some of our data science course based questions and answers to help you. If you don't find what you're looking for, feel free to contact us.
1. What is the Data Science Course offered at Code Purple Academy in Coimbatore?
In this course, you’ll learn everything that companies actually expect from a data science fresher; Python programming, statistics, data analysis, machine learning concepts, and data visualization. Instead of just theory, we focus more on real-world projects and interviews.
The training is 100% hands-on. You’ll work with real datasets, practical case studies, and live projects that are similar to what data analysts and data scientists handle in real IT companies. This helps you understand not just what to do, but why you’re doing it.
All sessions are handled by industry-experienced trainers who share real-world insights, best practices, and the latest tools currently used in the industry. Our goal is to make sure you’re confident with both technical skills and problem-solving.
By the end of the course, you’ll have strong fundamentals, real project experience, and clear interview preparation. We also support you with resume building, mock interviews, and placement assistance, helping you apply for roles like Data Analyst, Junior Data Scientist, and Machine Learning Engineer with confidence.
2. How long is the Data Science course?
The course starts from the fundamentals like Python programming, statistics, and data analysis, so even if you’re new to data science, you won’t feel lost. As the course progresses, you’ll move into machine learning concepts, algorithms, model building, and real-time project work, exactly the way it’s used in the industry.
Instead of only theory, students work with real datasets, hands-on exercises, and case studies. Our trainers focus on practical learning; how to think like a data analyst, how to solve problems, and how to explain your work in interviews.
By the end of these 4 months, you’ll be prepared to apply for roles like Data Analyst, Junior Data Scientist, or Machine Learning Engineer. Along with training, we also provide internship support, real-time projects, and placement assistance, so you can build a strong portfolio and confidently start your data science career in Coimbatore.
3. Are weekend batches available for the Data Science Course in Coimbatore?
From our experience training students, weekday learning helps you:
• Practice concepts daily instead of forgetting them over the weekend
• Interact better with trainers and ask doubts regularly
• Get continuous guidance on projects and assignments
• Complete the syllabus faster without delays
• Retain complex concepts like Python, statistics, and machine learning more effectively
Data Science is not something you can master with just 1–2 long sessions a week. It requires frequent learning, revision, and hands-on work, which is why our programs follow a structured weekday schedule.
Our weekday batches are best suited for:
• College students and final-year students
• Recent graduates
• Job seekers preparing seriously for placements
• Career switchers who can attend day or evening sessions
By following a disciplined weekday training model, Code Purple Academy helps students stay focused, build strong fundamentals, and become industry-ready in a shorter time frame.
4. Who can join this Data Science course?
You don’t need any prior programming knowledge or IT background. We begin from the basics and slowly move to advanced concepts.
This course is a good fit for
College Students
Final-year and pre-final-year students who want to be job-ready before graduation. Learning data science early gives you a big edge during placements and interviews, especially if you already have hands-on project experience.
College Graduates (Any Degree)
Whether you’re from engineering, science, commerce, or arts you can join. The course focuses on practical skills like Python, data analysis, machine learning, statistics, and data visualization, which are commonly expected for entry-level IT and analytics roles.
Working Professionals
If you’re already working and looking to upskill or switch into a data-focused role, this program is designed for you. You’ll work on real-world projects and tools that you can relate to your current job or use to move into a new role.
Career Changers from Non-IT Backgrounds
Coming from fields like business, finance, marketing, or operations? No problem. We start from scratch to cover programming basics, data handling, and gradually moving into machine learning and advanced analytics in a way that’s easy to understand.
By the end of this Data Science course, you’ll have practical experience in Python, machine learning, AI concepts, data visualization tools, and real-time projects.
You’ll be prepared to apply for roles such as Data Analyst, Data Scientist, Machine Learning Engineer, or AI Specialist.
No matter your background, this course gives you a strong, practical foundation to confidently start or shift your career into data science.
5. What tools and technologies will I learn?
Here’s what you’ll learn during the course:
Python Programming
You’ll start with Python, because it’s the most widely used language in data science. We teach Python from the basics and slowly move into data analysis and machine learning, so even beginners can follow comfortably.
NumPy & Pandas
These are core Python libraries every data scientist uses. You’ll learn how to clean messy data, handle large datasets, and analyze information properly using NumPy and Pandas, something you’ll do daily in real jobs.
Statistics & Exploratory Data Analysis (EDA)
Before building models, you need to understand your data. We’ll help you build a strong foundation in statistics and EDA so you can find patterns, trends, and insights instead of blindly applying algorithms.
Machine Learning Algorithms
You’ll work on both supervised and unsupervised learning techniques such as regression, classification, clustering, and recommendation systems. More importantly, you’ll learn when to use which algorithm, not just the formulas.
SQL (Structured Query Language)
Most real-world data lives in databases. That’s why we train you in SQL to fetch, filter, and analyze large datasets efficiently, a must-have skill for data analysts and data scientists.
Power BI & Tableau
Data is useful only when you can explain it clearly. You’ll learn Power BI and Tableau to create dashboards, visualize trends, and present insights in a way that managers and clients understand.
Real-Time Projects
Throughout the course, you’ll work on real-world projects based on industry scenarios, not dummy examples. These projects help you build a strong portfolio and prepare for interviews, internships, and entry-level data science roles.
By the end of the course, you won’t just know the tools, you’ll know how to use them confidently, with real project experience and a portfolio that proves your skills.
6. Does the course include real-time projects?
At Code Purple Academy, we strongly believe that data science cannot be learned through theory alone. That’s why the course is built around hands-on, real-time projects.
During the course, students work on multiple projects using real-world datasets and industry-based problem statements. You’ll go through the complete process, data collection, cleaning, analysis, model building, and finally presenting insights using dashboards or applications. This helps you understand how data science is actually used in real companies, not just in textbooks.
In the final stage, you’ll complete a capstone project that acts as your portfolio piece. Many students use this project during interviews to explain their skills and practical experience. It shows recruiters that you can handle real requirements, think logically, and deliver solutions, not just write code.
By the time you finish the course, you won’t just know data science, you’ll be confident enough to attend interviews and discuss your projects clearly, just like a working professional.
7. Do you provide placement support after the Data Science Course?
We offer end-to-end placement assistance to make you confident and interview-ready for real IT roles.
Resume Building Support
We help you create a job-ready resume specifically for Data Science roles. Your resume will clearly highlight your skills, tools, projects, and practical experience, exactly what recruiters look for.Mock Interviews (Real Interview Experience)
Students attend multiple mock interview sessions that are conducted like real company interviews. This helps you:
• Reduce interview fear
• Improve communication
• Understand how technical and HR rounds actually work
Complete Interview Preparation
Our trainers guide you through:
• Technical interview questions
• HR round preparation
• Case studies
• Coding and problem-solving questions
We focus on commonly asked questions in Data Science interviews so you know what to expect.
Job Referrals Through Hiring Partners
Code Purple Academy works closely with IT companies and startups. Eligible students are referred directly to our hiring partners, giving you access to real job opportunities, not just job portals.
Continuous Placement Guidance
Placement support continues even after course completion. Our team stays in touch, gives feedback, and supports you until you successfully secure a Data Science role.
By combining hands-on training, real-time projects, and strong placement support, Code Purple Academy ensures that students are not only skilled in Data Science but also confidently ready to face interviews and enter the IT industry.
8. What is the mode of training?
Classroom training takes place at our fully equipped training center in Coimbatore. Students benefit from direct interaction with experienced trainers, hands-on lab practice, real-time project guidance, and continuous mentor support. This mode is ideal for learners who prefer face-to-face learning and a structured classroom environment.
For students who need more flexibility, we also provide instructor-led live online classes that can be attended from anywhere. These sessions are highly interactive and include live explanations, practical assignments, regular doubt-clearing sessions, and project-based learning.
Both offline and online training follow the same industry-oriented curriculum. Regardless of the mode you choose, you’ll get access to learning materials, live projects, practical training, and placement assistance, ensuring a consistent and high-quality learning experience.
9. Is career guidance provided after joining the Data Science course?
Our mentors take time to understand your education background, current skills, and career goals, and then guide you toward the right data science role. Whether you’re aiming to become a Data Analyst, Data Scientist, Machine Learning Engineer, or Business Analyst, we help you choose the right path and prepare accordingly.
You’ll also receive continuous career support, including resume building, mock interviews, technical interview preparation, and real-world guidance on how interviews actually work in IT companies. This structured approach helps our students gain clear direction, confidence, and job-ready skills, making it easier to crack data science interviews and secure well-paying IT jobs.
10. How can I enroll in the Data Science Course in Coimbatore?
Our course counselors will clearly explain everything you need to know, including upcoming batch timings, course duration, fee details, demo class availability, and placement support. If you’re confused about where to start, don’t worry — we’ll guide you step by step.
We also help you choose the right batch based on your background, whether you’re a college student, fresher, non-IT learner, or a working professional looking to switch careers.
Since we maintain limited batch sizes for better learning and personal mentoring, seats tend to fill up fast. We recommend early enrollment to reserve your spot in the upcoming Data Science batch.
