CompCraft Certified Course

Data Science training to decode future trends

Hands-on, mentor-led training across Excel, SQL, Python, EDA and Tableau everything you need to turn raw data into real decisions.

Fees

On Request

Duration

1 year

Learner Objective

From curiosity about data to job-ready capability.

Acquire a fundamental understanding of the analytical techniques and software tools needed to effectively extract insight from structured and unstructured datasets of any size. Gain experience using industry tools and complete projects focused on obtaining actionable insights from complex data.

Dive deeply into a chosen area of practice to fully prepare you to add significant value in a professional role and be able to keep learning and adapting to new data science techniques.

6

In-depth Modules

35+

Hands-on Topics

100%

Project-based

Yes

Certificate

Beginner Friendly

Start from fundamentals — no prior coding or analytics experience required.

Mentor-led

Hands-on guidance and project feedback from working data professionals.

Certified

Earn a CompCraft Certificate to showcase your data science skills.

Project-driven

Practice on real datasets and build a portfolio that gets you hired.

The Full Curriculum

Six modules. One complete data scientist.

Each module builds on the last concepts first, hands-on practice immediately after.

01

Data Analytics using Excel

Build a strong analytics foundation with the world’s most used spreadsheet tool.

6 topics

02

Analytics using SQL

Query, model and manage relational data the way real data teams do.

7 topics

03

Introduction to Programming using Python

Go from zero to confident coder with Python the language of data science.

6 topics

04

Python for Data Science

Put Python to work with the core scientific computing toolkit.

5 topics

05

Exploratory Data Analysis

Learn to interrogate data and surface the patterns that matter.

5 topics

06

Exploratory Data Analysis using Tableau

Turn analysis into interactive, decision-ready dashboards.

5 topics

Course Details

Everything you need to get started

Speak to our team to confirm the current batch schedule, available time slots, and fee structure tailored to your learning pace.

Course Fees

On Request

Duration

Flexible

Who is this for?

Students, graduates & professionals starting their data journey.

Master Data Science with Practical, Industry-Focused Training

Learn Excel, SQL, Python, Tableau, and data analytics through real projects that prepare you for a successful data science career.

Frequently asked Questions

Do I need a strong maths background?

12th-standard maths is plenty. We teach statistics as it comes up inside real data problems, not as abstract theory. Commerce and arts graduates complete this regularly.

What does the 12-month roadmap actually look like?

Months 1–2: Python and libraries. 3–4: data cleaning and visualisation. 5–7: machine learning with Scikit-learn. 8–10: SQL and Tableau. 11–12: capstone project and interview prep.

How is this better than an online course I could do for free?

Accountability. Online completion rates sit below 10% because nobody notices when you stop. Here, your mentor notices by week two and gives feedback on your actual code and models.

I'm in IT will this actually move me into a data role?

Yes, and you’ll move faster than freshers. You already understand systems and data flow you’re layering analytical tools and ML on top.

What tools will I actually use?

Python, Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, MySQL, and Tableau all free or free-tier accessible.

What salary should I realistically expect?

₹3.5–5.5 LPA as a fresher in Mumbai, ₹6–9 LPA after a year of experience. Demand still genuinely outpaces supply in this field.

Is AI actually covered, or just analytics?

Both. The second half of the year covers machine learning and AI model-building on real datasets usually the point students say the course gets exciting.

After which class can I join? Do I need to be a graduate?

A graduate degree (any stream) helps because of the project depth involved, but strong 12th-pass students with genuine interest do join and keep pace especially from a Science or Commerce background.