Best Data Analytics Course in Pondicherry with Placement Support
Looking to build a high-demand career in data? Our data analytics course in Pondicherry is designed to help you master the skills companies are actively seeking. You’ll learn how to collect, process, and analyze data using tools like Excel, SQL, Python, Tableau, and Power BI. The course focuses on practical, hands-on learning, helping you develop the ability to interpret data, create meaningful reports, and make informed decisions. With step-by-step guidance, even beginners gain confidence to work with real datasets and dashboards. By completing this course, you’ll be prepared for a career as a data analyst, opening doors to exciting job opportunities in pondicherry and beyond.
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Duration
90 Days
Fee
INR 29,999/-
Mode
Online & Offline
Skill Level
Just Beginner
Duration
90 Days
Mode
Online & Offline
Fee
INR 29,999/-
Skill Level
Just Beginner
Trusted by Industry Leaders
Our graduates have successfully built their careers at leading companies, working in roles across analytics, data, and technology-driven teams.
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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 You'll Use
An overview of the key tools and technologies used in data analytics, explaining how they are applied throughout the project process, from collecting and cleaning data to analyzing insights and creating meaningful reports.
MS Excel
Python
SQL
Tableau
Power BI
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
Detailed Syllabus
Modern syllabus with practical learning and interview preparation to make you job-ready.
Week 1: Introduction to Data Analytics
- In Introduction to Data Analytics, we learn the basics of data types, data collection, cleaning, exploratory analysis, visualization, and the four types of analytics. We also get an overview of tools like Python, SQL, and dashboards used to turn raw data into meaningful insights.
Week 2: Excel Basics and Intermediate Functions
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)
Week 3: Python Basics and Data Structures
- Python syntax: Variables, Data Types (int, float, string)
- Data Structures and Methods
- Control flow: if-else, for loops, while loops.
- Functions
Week 4: Python Basic and Advanced OOPs Concept
- Basic OOPs
- Advanced OOPs
- File and Error Handling
- Modules, Packages and Libraries
Week 5: Pandas for Data Manipulation
- Pandas Basics: DataFrames, Series, loading data from CSVs and Excel.
- Data Cleaning: Handling missing values, duplicates, and transforming columns.
- Data Transformation: Filtering, grouping, and aggregating data.
- Data Visualization with Matplotlib & Seaborn: Basic charts (line, bar, scatter) and customizing plots.
Week 6: Intermediate 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.
Week 7: Getting Started with 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.).
Week 8: Advanced Tableau Visualizations and Dashboards
- 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.
Week 9: Introduction to 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).
Week 10: Advanced Power BI Features
- 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.
Week 11: Integrating Python, SQL, Excel, Tableau, and Power BI
- Integrating Tools: Importing data from SQL and Excel into Python, Tableau, and Power BI.
- Data Pipeline: Understanding how to clean and preprocess data in Python and SQL, then visualize and report it in Tableau/Power BI.
- Automating workflows: Using Python scripts or Excel macros to automate repetitive tasks.
- End-to-End Project: Solving a real-world problem using the entire toolset.
Week 12: Capstone Project and Portfolio Development
Capstone Project: Choose a real-world dataset (e.g., sales, marketing, or customer data)
- Clean and preprocess the data (using Python or SQL).
- Analyze the data and generate insights.
- Create a dynamic report or dashboard (using Tableau or Power BI).
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.
Success stories from Our Students
See how our students have achieved their career goals through our data analytics 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 understandRead 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
Check out the frequently asked questions below to learn more about the course structure and training. Contact us anytime if you need further assistance.
1. What is the Data Analytics Course offered in Pondicherry?
Throughout the training, students learn essential tools such as Excel, SQL, Power BI, and Python in a clear and progressive manner. The course covers data visualization, dashboard development, report creation, and real-time project work so that learners gain practical exposure. Every module is planned to improve analytical thinking, problem-solving ability, and technical skills that companies look for when hiring data analysts and business intelligence professionals.
The main objective of the data analytics training in Pondicherry is to make students job-ready with industry-relevant skills. By the end of the program, learners are equipped to handle datasets independently, create meaningful insights, and confidently attend interviews for roles like Data Analyst, Business Analyst, or BI Developer. This course not only builds technical expertise but also strengthens logical reasoning and professional confidence, making it a strong foundation for a successful career in data analytics.
2. What is Data Analytics and why should I learn it?
Learning data analytics is a smart career move because the demand for skilled data professionals is growing rapidly across industries. Companies are actively hiring data analysts and business analysts who can support decision-making with accurate reports and data-driven insights. This skill not only increases your job opportunities but also strengthens logical thinking and problem-solving ability. If you want a future-proof career with strong growth potential, learning data analytics is a powerful step in the right direction.
3. Who can join the Data Analytics course in Pondicherry?
You do not need a programming background or advanced mathematics knowledge to begin. The course is designed to start from the basics and gradually move to advanced topics with proper guidance and hands-on practice. If you are serious about learning, improving your logical thinking, and building job-ready skills in data analytics, then this course in Pondicherry is the right choice to help you move forward confidently in your career.
4. Do I need coding knowledge to learn Data Analytics?
As you progress, you may learn basic Python for data analysis, but it is taught in a simple and practical way. You are not expected to become a programmer; you only learn the coding needed to work efficiently with datasets. With proper guidance and regular practice, anyone can understand it comfortably. So if you are planning to build a career as a data analyst or business analyst, lack of coding experience should not stop you from joining a data analytics course.
5. What tools will I learn in this course?
Next, you will learn SQL, which is essential for working with databases and extracting specific data from large datasets. Once you are comfortable with data handling, you will move to Power BI to create interactive dashboards and visual reports that help businesses understand trends clearly. The course also includes basic Python for data analysis, taught in a simple and practical way. By the end of the program, you will have hands-on experience with Excel, SQL, Power BI, and Python - the core tools required to start a successful career in data analytics.
6: Is this Data Analytics course job-oriented?
You will gain experience in tools like Excel, SQL, Power BI, and Python while also learning how to handle datasets, create dashboards, and present reports professionally. In addition to technical training, support is provided for resume building, interview preparation, and project explanation. The main goal of this data analytics training is to make you confident, skilled, and ready to apply for analytics jobs in today’s competitive market.
7. How long does it take to complete the Data Analytics course?
During these 3 months, you will cover Excel, SQL, Power BI, and basic Python with regular practice sessions and assignments. The idea is not just to finish the syllabus but to make sure you are confident in using the tools on your own. By the end of the course, you should feel ready to attend interviews and handle real data tasks comfortably.
8. Will I get placement support after completing the course?
Mock interviews are conducted so you can understand the type of questions companies ask. Feedback is given to help you correct mistakes and build confidence. Job openings are also shared, and you are guided on how to apply in the right way. The idea is simple - not just to complete the course, but to help you start your career in data analytics with confidence.
9. Will I receive a certificate after completing the course?
At the same time, it is important to understand that the certificate is only part of the journey. What really matters is how well you understand the concepts and how confidently you can explain your projects during interviews. The certificate adds value to your resume, but your skills and hands-on experience are what truly help you secure a job in the data analytics field.
10. How do I enroll in the Data Analytics course?
Once you decide to enroll, you just need to complete the registration process and confirm your seat in the upcoming batch. The institute will guide you through all the steps, including the payment process and batch confirmation. After registration, you are ready to start your journey in data analytics with proper guidance, hands-on practice, and step-by-step learning.
