Career-Oriented Data Science Course in Salem with Practical Training
Fast-track your career growth through Code Purple Academy’s comprehensive Data Science & Machine Learning training. The practical learning approach helps you gain strong skills in data analysis, apply ML methods, and confidently address real-world problems with advanced data tools.
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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
Many of our past students are now placed in well-known industry-leading organizations, including.
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Why choose Code Purple - Salem
Code Purple prepares you to stand apart by delivering the right mix of practical skills, expert support, and strong industry-focused 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 Salem. Join Code Purple Academy’s Data Science Course in Salem 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
A clear introduction to the key technologies and methodologies taught throughout the data science course, showing how they support learning concepts such as data processing, machine learning, and model development.
Machine Learning
Tableau
TensorFlow
Python
Scikit-Learn
MySQL
Launch Your
Data Science Career Today
Take the first move toward your dream IT career in Salem by enrolling in Code Purple Academy’s Data Science Course in Salem 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
Below are some commonly asked questions and their answers to help you. If you don’t see the information you’re searching for, feel free to contact us.
1. What is the Data Science Course offered at Code Purple Academy in Salem?
Throughout the course, learners are trained in the most important concepts required for a data science career. These include Python programming, statistical analysis, data handling, machine learning basics, and data visualization methods. The curriculum is designed based on what companies actually expect from entry-level data science candidates.
Rather than focusing only on theoretical lessons, the training prioritizes practical implementation. Students learn how to apply their knowledge to real situations through industry-style case studies, datasets, and project-based assignments.
The program follows a hands-on learning model where participants actively work on live projects similar to the tasks performed by professionals in real IT companies. This practical exposure helps learners understand how data science techniques are used to solve real business problems.
Experienced trainers with industry backgrounds conduct the sessions, sharing practical insights and current tools used in modern data science workflows. Their mentorship helps students develop both technical confidence and analytical thinking skills.
After completing the course, students will have strong data science fundamentals, real project experience, and structured interview preparation. Code Purple Academy also assists learners with resume creation, mock interview sessions, and placement support, helping them pursue roles such as Data Analyst, Junior Data Scientist, and Machine Learning Engineer.
2. How long is the Data Science course?
The course begins with essential topics such as Python programming, statistics, and data analysis, which form the base of data science. These concepts help students understand how data is collected, processed, and interpreted. As the course continues, students explore machine learning models, algorithms, and real-world analytical techniques.
Throughout the training, students participate in hands-on exercises, practical assignments, and real-world case studies. This approach ensures that learners do not just understand the theory but also know how to apply their knowledge in real situations. After completing the course, students are prepared to begin their careers in data science.
3. Are weekend batches not available for the Data Science Course in Salem?
The weekday classes follow a well-structured curriculum and training approach, covering topics such as Python programming, data analysis, and machine learning concepts. The sessions are designed to create an engaging learning environment where students can clearly understand each concept step by step.
Students attending weekday classes also take part in practical exercises, real datasets, and project-based learning. This ensures they gain complete knowledge and hands-on experience, helping them develop the skills required for real-world data science roles.
4. Who can join this Data Science course?
The training begins with basic concepts, so even learners with little or no experience in programming or analytics can comfortably follow the course. Topics like Python programming, statistics, and data analysis are taught step by step to ensure that students clearly understand each concept.
This course is also beneficial for individuals who want to transition into the data science industry from other fields. By learning practical skills and completing projects, participants can prepare themselves for modern data-focused roles in various industries.
5. What tools and technologies will I learn in the Data Science course?
Learners also explore popular Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn. These libraries are used for data processing, statistical analysis, visualization, and building machine learning models.
Apart from programming, students also learn data visualization techniques and analytical tools that help transform raw data into meaningful insights. These technologies allow learners to understand how data scientists analyze and present information in professional environments.
6. Does the course include real-time projects?
Learners work on industry-relevant datasets and case studies, which help them practice data analysis, model building, and visualization techniques. This approach allows students to understand how data science is used to solve business problems.
Completing these projects also helps students develop a strong project portfolio, which is extremely valuable when applying for jobs. It demonstrates practical experience and problem-solving ability to potential employers.
7. Do you provide placement support after the Data Science Course?
As part of the placement support, students receive help with building professional resumes, preparing for technical interviews, and improving their communication skills. Trainers also guide students on how to present their projects and explain their analytical approach during interviews.
The academy also helps students explore job openings and apply for relevant positions in the industry. With the skills gained during the course and guidance from mentors, learners can confidently pursue entry-level data science roles.
8. What is the mode of training?
Students participate in interactive sessions where trainers explain concepts, demonstrate techniques, and guide learners through practical tasks. This approach ensures that learners actively practice what they learn during each session.
By combining explanations, exercises, and project work, the course helps students develop real technical skills and gain confidence in using data science tools.
9. Is career guidance provided after joining the Data Science course?
Trainers provide insights on industry trends, required skills, and how to prepare for technical interviews. They also help students understand how to improve their professional profiles and highlight their project experience.
With proper guidance, learners can make informed career decisions and confidently pursue roles in data science and analytics.
10. How can I enroll in the Data Science Course in Salem?
After reviewing the course details, students can register for the program and complete the admission process. The enrollment process is designed to be simple and accessible for all learners.
Once the registration is completed, students can start attending classes and begin their training in data science with guidance from experienced instructors.
