Data Science & Machine Learning Course with Real Projects
Our data science & machine learning course is designed to help you learn Python, data analysis, visualization, and machine learning algorithms through real-time projects and hands-on practice. You will work with real datasets, understand how models are built, and gain the confidence to solve real business problems.
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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
Many of our past learners have gone on to establish strong careers by getting hired in respected and leading companies within the tech and business world.
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Why choose Code Purple - Thanjavur
Code purple helps you stand apart by combining the right skills, proper mentorship, and real industry preparation to shape you into a confident professional.
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Resume building that cracks ATS software
.02
Training by industry experts
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5hands-on projects
.04
Mock interviews & Group discussions
.05
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 Thanjavur. Join Code Purple Academy’s Data Science Course in Thanjavur 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
Understand the important tools and technologies used in data science and how they are applied during different stages of a project, including data collection, processing, analysis, visualization, and model creation.
Machine Learning
Tableau
TensorFlow
Python
Scikit-Learn
MySQL
Launch Your
Data Science Career Today
Begin your journey toward a successful IT career in Thanjavur. Enroll in code purple academy’s data science course in thanjavur today and start building your future.
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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
Take a look at how our training program has helped students accomplish their goals and move forward in their careers.
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
Browse the common questions below to learn more about the course. If your question is not listed, you can easily contact us for more information.
1. What is a Data Science & Machine Learning Course?
In the beginning, many students feel scared because they think this field is only for toppers or coding experts. But that’s not true. We break everything into small, simple steps. When you see the results on your screen, you start enjoying the process.
As the sessions go on, you’ll work on mini projects, practice interview questions, and understand how companies actually use data in real life. Slowly, your confidence grows. Instead of just watching tutorials, you’ll be building things on your own and explaining your work clearly - and that’s what really matters in interviews.
2. What tools are covered in the Data Science & ML Course?
You’ll also learn Tableau to build machine learning models and Power BI to create interactive dashboards, so you can confidently handle real-world data projects and meet current job market expectations in data science and AI.
3. Is this Data Science Course suitable for beginners?
With step-by-step guidance, practical projects, and regular practice sessions, even non-IT students can build strong foundations in data analysis and machine learning. If you are serious about building a career in data science, this course gives you the right start.
4. Will I get hands-on project experience in this Data Science & Machine Learning course?
By completing end-to-end data science projects - from data cleaning and analysis to model building and dashboard creation - you will gain job-ready skills and build a strong portfolio that helps you stand out in data analyst and machine learning interviews.
5. What is the duration of the Data Science & Machine Learning Course?
With structured classes, hands-on assignments, and project-based learning, this 4-month data science training program helps you gain job-ready skills and prepare confidently for data analyst and machine learning roles.
6. Is coding required to learn Data Science and Machine Learning?
With step-by-step guidance and practical exercises, even beginners can quickly become comfortable writing code for real-world data science projects. By the end of the training, you’ll be confident using programming skills required for data analyst and machine learning roles.
7. Will this Data Science & Machine Learning Course help me get a job?
With consistent practice, project experience, and interview preparation support, this course can help you qualify for high-demand data science jobs in IT companies, startups, and analytics-driven industries.
In addition, you will learn how to explain your projects clearly, answer technical questions confidently, and showcase your skills in a professional way, which increases your chances of getting selected in data science and machine learning interviews.
8. Will I receive a certificate after completing the Data Science & Machine Learning course?
You can add this certification to your resume, LinkedIn profile, and job applications to strengthen your professional profile. Combined with hands-on project experience, this data science certification helps you stand out when applying for data science and machine learning job roles.
9. Are there any installment options or payment plans available?
With these convenient payment options, you can start learning immediately, focus on hands-on projects, and build a strong portfolio without letting budget constraints delay your career growth in data science and AI.
10. How can I enroll in the Data Science & Machine Learning Course?
Once your registration is complete, you’ll get instant access to course materials, hands-on projects, and guided sessions, allowing you to start learning Python, data analysis, and machine learning techniques immediately and begin building real-world skills that are in high demand for data analyst and machine learning roles.
