DS / DA + AI

Data Science & Data Analytics Course in Coimbatore

Two career paths in data, both with AI built in. Learn to analyse data and build dashboards, or go further into machine learning, deep learning and generative AI. Practical, offline, one-to-one training.

●100% Offline●1-to-1 Training●Full-Day Practical Classes●Real Datasets & Projects●AI-Integrated Learning

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Sit with a developer for one session and see how 1-to-1 training works.

Data Is Where the Jobs Are Growing

Every company now collects data. They need people who can turn it into decisions (data analysts) and people who can build models that predict and automate (data scientists).

At GT, both paths start from the same strong foundation: Excel, SQL, Python and statistics. From there, you either specialise in dashboards and business analysis, or move into machine learning and AI. Not sure which suits you? We help you choose during your free demo.

Mode
100% offline, face-to-face
Training
1-to-1 with a developer
Schedule
Full-day practical classes
Paths
Data Analytics or Data Science & AI
Location
Nava India, Peelamedu, Coimbatore
Choose your path

Data Analytics or Data Science? Choose Your Path

Both courses are one-to-one and project-based. Here is how they differ.

Data Analytics

Data Analytics

Best forStudents and professionals who want to work with business data, reports and dashboards. No heavy maths needed.

  • Excel, SQL and Python for analysis
  • Cleaning and exploring real datasets
  • Power BI and Tableau dashboards
  • AI tools for faster insights and reports
ExcelSQLPythonPower BITableauAI Tools
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Data Science & AI

Data Science & AI

Best forLearners who want to build predictive models and AI applications, and enjoy problem solving with data.

  • Python, statistics and data analysis
  • Machine learning with Scikit-learn
  • Deep learning with TensorFlow / Keras
  • Generative AI and deploying models
PythonPandasScikit-learnTensorFlowGenerative AIAI APIs
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Curriculum

The Shared Foundation

Both paths start here, so you can switch direction early if you discover a preference.

  1. 01

    Excel & Spreadsheets

    • Formulas, lookups and pivot tables
    • Organising and cleaning data
  2. 02

    SQL

    • Querying databases
    • Joins, grouping and reports
  3. 03

    Python for Data

    • Python fundamentals
    • Pandas and NumPy
  4. 04

    Statistics

    • Averages, spread and trends
    • Probability basics
  5. 05

    Visualization

    • Charts that tell a story
    • Presenting findings clearly
  6. 06

    AI-Assisted Analysis

    • Using AI tools to explore data
    • Checking AI output for accuracy
Technologies

Technologies Across Both Paths

  • Excel
  • SQL
  • MySQL
  • Python
  • Pandas
  • NumPy
  • Power BI
  • Tableau
  • Statistics
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • Generative AI
  • AI Tools
Projects

Projects You Can Build

Data Analytics

Sales performance dashboard

Revenue, top products and regional trends in one interactive Power BI dashboard.

Data Science

Prediction model behind an API

Train, evaluate and serve a model that a web app can call.

Generative AI

Document Q&A assistant

Ask questions of your own documents and get grounded answers.

Why GT

Why Students Choose GT Software Academy

1-to-1 Training

A developer works with you individually, at your pace, on your code.

Full-Day Practical Classes

Spend the day building applications instead of attending short theory classes.

AI-Integrated Learning

Use AI tools for coding, debugging, documentation and testing, the way modern developers work.

Learn from Working Professionals

Learn from professionals with real software development experience.

Who can join

Who Can Join?

  • Students & GraduatesBuild practical skills beyond the academic curriculum.
  • FreshersDevelop real projects and become interview-ready.
  • Working ProfessionalsUpgrade your skills or move into software development.
  • Career SwitchersMove into software development with guided, practical training.
  • Non-IT GraduatesStart from programming fundamentals and progress to full applications.
FAQ

Frequently Asked Questions

What is the difference between data science and data analytics?

Data analytics explains what happened using reports and dashboards. Data science uses statistics and machine learning to predict what will happen and to build AI models.

Which is better for beginners: data analytics or data science?

Data analytics is usually the easier starting point. Data science suits learners who are comfortable with programming and maths, or who want to move into AI.

Do both courses include AI?

Yes. Data Analytics uses AI tools for faster analysis and reporting; Data Science & AI covers machine learning, deep learning and generative AI.

Can I start with data analytics and move to data science later?

Yes. Both share the same foundation of Excel, SQL, Python and statistics, so moving from analytics to data science is a natural next step.

Is part-time training available?

Yes. College students can join part-time training around their college timings, and working professionals can attend evening sessions from 4 PM to 7 PM.

Is the training online or offline?

GT focuses on 100% offline, face-to-face practical training at our Peelamedu campus in Coimbatore.

Ready to Become an Industry-Ready Developer?

Practical, full-day, one-to-one training at our Peelamedu campus, Coimbatore.