Professional Certification ProgramsOffline Classroom

Certified Data Scientist

Statistics, machine learning and deployment for data science roles.

6 Months
Classroom + Lab
Professional Certification Certificate
Internship + Placement Support
Overview

Program overview

A complete Data Science and Artificial Intelligence pathway — from Python and statistics to machine learning, deep learning and Generative AI — taught with daily supervised lab practice and industry-style projects. This Professional Certification runs for 6 Months as offline instructor-led classroom training at our Indore campus, combining daily lab practice, weekly assessments and mentor-reviewed projects.

Eligibility
  • Students pursuing or having completed 12th / Diploma / Graduation (any stream)
  • Working professionals looking to switch or upskill into technology roles
  • Basic computer literacy — no prior coding experience required for foundation modules
  • A laptop is recommended; institute lab systems are available for practice
Learning Outcomes
  • Apply Data Scientist skills to real business problems
  • Build and present a mentor-reviewed capstone project
  • Clear technical assessments and interview rounds with confidence
  • Graduate with a portfolio, resume and GitHub profile employers can review
Skills Covered
  • Python programming
  • Statistics & probability
  • Data wrangling & EDA
  • Machine learning algorithms
  • Deep learning with TensorFlow
  • NLP & Generative AI
  • Model deployment
Technologies Covered
  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • SQL
  • Streamlit
  • Git
  • AWS
Projects You Will Build
  • Credit risk prediction model
  • Sales forecasting engine
  • Image classification app
  • RAG-based document Q&A assistant
Assessments
  • Weekly module assessments in the classroom
  • Hands-on lab evaluations with instructor feedback
  • Final certification assessment
  • Mock interview rounds before program completion
Curriculum

9-Module Curriculum

Expand any module to see exactly what is covered in the classroom and lab.

Module 1
Python for Data Science
  • Core Python & OOP
  • NumPy arrays
  • Pandas data handling
  • Jupyter workflow
Module 2
Statistics & Probability
  • Distributions
  • Sampling & confidence intervals
  • Hypothesis testing
  • Statistical inference
Module 3
Data Wrangling & EDA
  • Missing values & outliers
  • Feature engineering
  • Visual exploration
  • Data storytelling
Module 4
SQL & Data Pipelines
  • Advanced SQL
  • Joins & window functions
  • ETL fundamentals
  • Working with APIs
Module 5
Machine Learning
  • Regression & classification
  • Trees, random forest, boosting
  • Clustering & PCA
  • Model evaluation & tuning
Module 6
Deep Learning
  • Neural network fundamentals
  • CNNs for vision
  • RNN/LSTM for sequences
  • TensorFlow & Keras
Module 7
NLP & Generative AI
  • Text preprocessing & embeddings
  • Transformers overview
  • LLM prompting & RAG
  • Building an AI assistant
Module 8
MLOps & Deployment
  • Model packaging
  • Streamlit / FastAPI apps
  • Cloud deployment
  • Monitoring basics
Module 9
Capstone & Placement Prep
  • Industry capstone project
  • Portfolio & GitHub
  • Resume & LinkedIn
  • Mock DS interviews
Internship & Certificate

What you walk away with

Internship Details

Internship eligibility is offered to top-performing learners on completion of the certification and capstone project, with an internship certificate awarded after successful completion.

Certificate Information
  • Professional Certification Certificate
  • Project Completion Certificate
Career Opportunities

Roles this program prepares you for

Data Scientist
AI Engineer
Machine Learning Engineer
Data Analyst
Research Associate
Batch Timings

Choose your batch

Morning Batch
10:00 AM – 12:00 PM
Mon – Sat
Afternoon Batch
1:00 PM – 3:00 PM
Mon – Sat
Evening Batch
5:00 PM – 7:00 PM
Mon – Sat
Weekend Batch
11:00 AM – 3:00 PM
Sat – Sun
FAQ

Frequently asked questions

Are Career Programs offline like your courses?

Yes. Every Career Program is delivered as offline, instructor-led classroom training at our Indore campus, with supervised lab practice.

What is the difference between a Diploma and a Certification?

Diplomas are longer (6–9 months) and cover an entire career track end to end with internship eligibility. Certifications (3–6 months) are focused on a single job role.

Do I need prior coding experience?

No. Every program starts from foundations. Prior experience helps but is not required for admission.

Is an internship included?

Diploma and Job Ready programs include internship placement for eligible learners. Certification learners become internship-eligible after clearing the capstone.

Will I get placement assistance?

Yes — resume building, LinkedIn optimisation, mock interviews, career mentorship and referral support are part of Diploma and Job Ready programs.

What are the fees and payment options?

Fees vary by program length. Call the campus or submit the admission form and our team will share the current fee structure and installment options.

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Apply for Certified Data Scientist

Submit the admission form and our team will call you back to schedule a campus visit and counselling session.