Top Data Science Training in Trichy with Projects & Placement Support
Boost your professional growth through Code Purple Academy’s Data Science & Machine Learning training. The practical learning approach equips you with the skills to analyze data, apply ML methods, and confidently handle real-world challenges with modern data-driven technologies.
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4.7 (350+ Google Reviews)
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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 former students are now working in top reputed organizations across the industry, including.
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Why choose Code Purple - Trichy
Code Purple helps you Recognize yourself with a powerful combination of relevant skills, professional guidance, and career-ready industry 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 Trichy. Join Code Purple Academy’s Data Science Course in Trichy 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
An outline of the important technologies and concepts introduced in the Data Science course that guide students through data science workflows, machine learning practices, and project-based learning.
Machine Learning
Tableau
TensorFlow
Python
Scikit-Learn
MySQL
Launch Your
Data Science Career Today
Begin your journey to your ideal IT career with Code Purple Academy’s Data Science Course in Trichy 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
These are some general questions and answers that may help you. If you still need more details, please feel free to get in touch with us.
1. What is the Data Science Course offered at Code Purple Academy in Trichy?
The course covers the key technical skills required in today’s data science industry, including Python programming, statistical concepts, data analysis techniques, machine learning fundamentals, and data visualization tools. These topics are carefully organized to help learners gradually build strong analytical and technical abilities.
A major focus of the program is practical learning. Instead of relying mainly on theory, students learn how these concepts are applied in real-world scenarios such as business analytics, project development, and technical interviews.
The training is completely hands-on, giving students the opportunity to work with real datasets, industry-relevant case studies, and live projects similar to the tasks handled by data professionals in IT companies. This approach helps learners gain both practical experience and deeper understanding.
All sessions are led by trainers who have real industry experience and knowledge of modern data science practices. They guide students through the latest tools, workflows, and best practices used in professional environments.
By the end of the training, students will have a solid foundation in data science, hands-on project experience, and preparation for technical interviews. Code Purple Academy also provides resume development support, mock interview practice, and placement assistance to help students confidently pursue careers as Data Analysts, Junior Data Scientists, or Machine Learning Engineers.
2. How long is the Data Science course?
In the initial stage, students start with fundamental subjects like Python programming, statistical concepts, and basic data analysis techniques. These topics help create a strong base for understanding more complex data science concepts. Later in the course, students learn about machine learning algorithms, model development, and data visualization tools.
Practical training is a key part of the course. Students work on datasets, projects, and case studies that reflect real industry scenarios. By the end of the program, learners have both theoretical understanding and hands-on experience, helping them confidently pursue roles in the data science field.
3. Are weekend batches not available for the Data Science Course in Trichy?
The weekday sessions are carefully structured to cover the complete course curriculum, including Python programming, statistics, data analysis, machine learning concepts, and project-based learning. The training focuses on practical understanding so students can clearly learn how these concepts are applied in real-world data science tasks.
Students attending the weekday classes still receive full trainer support, hands-on project experience, and learning resources throughout the course. This approach ensures that learners develop strong technical skills and gain the same level of knowledge required to confidently pursue careers in the data science field.
4. Who can join this Data Science course?
People from different educational backgrounds can enroll in the course. The training starts with the essential basics, allowing beginners to understand programming and analytical concepts before progressing to more advanced topics like machine learning.
Professionals who are planning a career shift into the IT or analytics industry can also benefit from this program. With the support of experienced trainers and practical learning methods, participants can build the skills required for modern data-related job roles.
5. What tools and technologies will I learn in the Data Science course?
Along with Python, the program includes training in widely used libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. These tools help students perform tasks like data cleaning, analysis, visualization, and machine learning model creation.
The course also introduces data analysis methods and visualization techniques that help communicate insights effectively. By mastering these tools, students gain the technical skills required to work on real data science projects.
6. Does the course include real-time projects?
Students analyze real datasets, perform data cleaning, build models, and present insights through visualizations. This process helps them understand the entire workflow followed by data professionals.
By working on these projects, learners gain hands-on experience and confidence in solving real-world data challenges, which is highly valuable when entering the job market.
7. Do you provide placement support after the Data Science Course?
The support includes resume development, interview preparation sessions, and portfolio building so students can showcase their projects and technical knowledge effectively. Trainers also share tips on how to handle common interview questions and technical discussions.
With this support, students are able to apply for job roles in the data science field with greater confidence. The placement assistance helps learners take the next step toward starting their professional careers in analytics and data science.
8. What is the mode of training?
Students learn through guided instruction, practical assignments, and project-based activities. Trainers provide continuous support to ensure learners understand each topic before moving on to advanced concepts.
This method helps students build strong technical knowledge while gaining hands-on experience, which is essential for working in the data science field.
9. Is career guidance provided after joining the Data Science course?
Mentors guide students on career opportunities, required skills, and strategies for entering the data science field. They also provide advice on preparing for job interviews and building a strong professional portfolio.
This support helps students develop clarity about their career goals and confidently prepare for roles in data science and analytics.
10. How can I enroll in the Data Science Course in Trichy?
After understanding the program, learners can complete the enrollment process and secure their seat in the upcoming batch. The academy assists students throughout the registration procedure.
After enrollment, students gain access to the training sessions, project work, and learning resources, helping them begin their journey toward a career in data science.
