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Best Data Science Course in Surat
Step into the world of data with practical training, real projects, and career support. Learn from a modern-designed curriculum that can help you launch a successful career in analytics, machine learning, and AI through our Data Science Course in Surat.
With increasing digital adoption across retail, finance, supply chains, and manufacturing, Surat is no longer limited to traditional business sectors alone. There are many MNCs and smaller organisations that are actively investing in data to improve efficiency and decision-making. As a result, professionals who can analyse data, identify and evaluate the patterns, and build predictive insights are becoming increasingly valuable as candidates. This Data Science course in Surat is built to help learners, beginners, or professionals to meet that demand with practical, job-aligned skills.
Varun Sonavane
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After Training
Henil Gajjar
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Mayank Verma
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350+ Companies are hiring from
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Eligibility
Fresher / Professionals
No prior coding knowledge is required.
Any Degree - B. Tech, BSc, B.Com, BBA, etc.
All IT & Non-IT Branches - CS, EE, Civil, Mech, etc
Job Roles
- Data Analyst
- Data Visualization Specialist
- Market Research Analyst
- Data Engineer
- Power BI Developer
many More..
Student Reviews
Thousands of positive review from our past students
Best Training
Mayank Verma
Hands-On Training
Arpi Patel
Qualified Faculties
Tarshul Mehta
Practical Training
Dhruvi Parikh
Personalized Attention
Aman Gohil
Quality Training
Dipesh Chauhan
Our Training Methodology
Best Data Science Course Training in Surat
How Data Science Skills Add Value in Surat’s Economy
Growing Demand Across Multiple Domains
Businesses in Surat are using data science for customer behaviour analysis, demand forecasting, inventory optimisation, performance tracking and much more. The best part about these applications is that it open opportunities for data professionals across non-IT and IT sectors alike.
Career Mobility Beyond One Industry
Learning data science allows you to move across domains. That is, you can move along from retail analytics to finance to logistics, to operations, and technology — without being tied to a single sector.
How the Training Works
The learning experience is designed to be interactive, practical, and outcome-driven:
- Learn from instructor-led online sessions
- Get to practice with real datasets
- Continuous feedback on assignments and projects
- Mentor support all through the course
- Collaborative peer learning environment
This approach of course curriculum makes sure that you learn beyond concepts and can confidently apply for jobs.
Who Is This Course Meant For?
This Data Science Course in Surat is well-suited for:
- Students and graduates interested or looking for a career in analytics or AI
- Professionals who are into data-centric roles
- Business and domain experts who has interest to get better at analytical decision-making
- Individuals exploring career growth in data-inclined skills
No prior programming knowledge is mandatory if you want to enroll in this course.
Career Paths You Can Pursue
After completing the course, learners can explore roles such as:
- Data Analyst
- Associate Data Scientist
- Machine Learning Executive
- Business Intelligence Analyst
- Data Operations Specialist
- Analytics Consultant
You can find these roles are across industries such as retail, finance, manufacturing, operations and technology-driven businesses.
Curriculum
Fundamentals
What is Data Analytics?
Importance of Data Analytics in Business
Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Microsoft Excel
Basic Functions and Formulas
Arithmetic Operations
Statistical Functions
Data Cleaning and Preparation
Removing Duplicates
Data Formatting
Data Visualization
Charts and Graphs
Conditional Formatting
Pivot Tables and Pivot Charts
Creating and Analyzing Pivot Tables
SQL and MySQL
Understanding Databases
Basic SQL Commands : SELECT, INSERT, UPDATE, DELETE
Filtering Data
Joins and Subqueries
INNER JOIN, LEFT JOIN, RIGHT JOIN
Writing Subqueries
Python
Python Basics
Syntax and Data Types
Control Structures (Loops and Conditionals)
Working with Libraries
Installing Libraries (pip)
Introduction to Jupyter Notebook
Data Manipulation with Pandas
DataFrames and Series
Data Cleaning and Preparation
Handling Missing Data
Filtering and Selecting Data
Data Aggregation and Grouping
Merging and Joining Data Frames
Numerical Analysis with NumPy
Introduction to NumPy
Arrays and Their Properties
Array Operations
Mathematical Functions
Statistical Functions
Power BI
Data Visualization with Power BI
Introduction to Power BI
Power BI Desktop vs. Power BI Service
Data Importing and Preparation
Connecting to Data Sources
Data Transformation using Power Query
Creating Reports and Dashboards
Visualizations: Charts, Tables, Maps
Slicers and Filters
Tableau
Introduction to Tableau
Connecting to Data Sources
Creating Basic Visualizations
Bar Charts, Line Charts, Scatter Plots
Building Dashboards
Combining Visualizations
Interactivity in Dashboards
Capstone Project
Real-world Data Analysis Project
Applying Skills Learned
Data Collection, Cleaning, Analysis, and Visualization
Presentation of Findings
Version Control with GitHub
Introduction to Git and GitHub
Setting Up a GitHub Account
Basic Git Commands
Git init, Git add, Git commit, Git push
Collaborating on GitHub
Forking and Cloning Repositories
Pull Requests
Non-Tech Preparation
Task management
Communication Skills
Presentation Skills
Interview Preparation
Resume Prep
LinkedIn
Job Hunting & outreaching
Interview Preparation
Mock Interviews
FAQs
What makes this course different from short-term analytics certifications?
This program is designed on end-to-end data science skills which goes beyond just learning the various tools. There are no isolated modules, instead you’ll learn problem-solving, modelling, data handling, and interpretation through structured projects.
Will I learn how to work with real-world data?
That is the best part of this course that you will get chance to work on organising, and analysing imperfect datasets like in professional situations.
Is this course suitable for someone switching careers?
Absolutely. The learning path of the course is such that it can support anyone who wants to change their career in data science.
How do projects help during job interviews?
If you work and learn on the projects, you can demonstrate your practical ability to analyse data, explain insights, and solve problems like that of an experienced professional – that it is a much better skill than having just the theoretical knowledge.
What kind of guidance is available during the course?
You’ll receive experienced instructor guidance, along with mentor feedback on projects, and structured doubt-clearing sessions.
Can I manage this course alongside work or studies?
Yes. The online learning format is made in a way that has the right flexibility.
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