AI Era Course
Data Science Training
Comprehensive Data Science training covering Python, Machine Learning, Deep Learning, and AI. Build real ML models and get placed as a Data Scientist or ML Engineer.
Skills You'll Learn
Python for Data Science
Statistics & Probability
Exploratory Data Analysis (EDA)
Machine Learning Algorithms
Supervised & Unsupervised Learning
Deep Learning & Neural Networks
TensorFlow & Keras
Natural Language Processing (NLP)
Computer Vision Basics
Model Deployment with Flask/FastAPI
SQL & Big Data Basics
Capstone ML Project
Our Data Science Training is one of the most comprehensive programs covering Python programming, statistics, machine learning, deep learning, and natural language processing. Data Scientists are among the highest-paid IT professionals with average packages of ₹8 LPA to ₹25 LPA.
You will work on real-world datasets and build production-grade ML models. Our Data Science alumni work at Amazon, Flipkart, analytics firms, and leading IT companies.
Who Can get Placements through Data Science Training?
Freshers (2023–2026 Passout)
Recent graduates with no prior experience can join our placement-focused batch with dedicated freshers module.
Year Gap Candidates (2010–2022)
Candidates with a career gap get a tailored module to bridge the gap and rejoin the IT industry confidently.
Non-IT to IT Transition
Working professionals from non-IT backgrounds can switch to a high-paying IT career with our specialised programme.
Experienced Professionals
IT professionals looking to upskill or shift to full-stack roles can fast-track their growth with our advanced module.
Job Roles After Data Science Training
Data Scientist
Machine Learning Engineer
AI Engineer
Data Analyst
ML Researcher
NLP Engineer
Business Intelligence Analyst
Our Students Placed Companies
TCS
Wipro
Infosys
HCL
Tech Mahindra
Accenture
Capgemini
IBM
Zoho
Freshworks
Airtel
Flipkart
96%
Placement Rate
6,000+
Students Placed
1,000+
Hiring Partners
Course Syllabus
- Python for Data Science
- NumPy & Pandas
- Statistics & Probability
- Hypothesis Testing
- Data Cleaning
- Supervised Learning (Regression, Classification)
- Unsupervised Learning (Clustering)
- Feature Engineering
- Model Evaluation & Cross-validation
- scikit-learn
- XGBoost & Ensemble Methods
- Neural Networks Fundamentals
- TensorFlow & Keras
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Transfer Learning
- Text Preprocessing
- Sentiment Analysis
- Transformers & BERT
- Image Classification
- Object Detection
- Model Deployment with Flask
- FastAPI for ML Services
- Docker for ML
- AWS SageMaker Basics
- End-to-End ML Project
Eligibility
Any Graduate | Basic Maths Knowledge Helpful
Training Modes
- Classroom (AC Lab)
- Online Live (Zoom / Meet)
- E-Learning (Self-paced)
- Internship Program
Batch Timings
- Morning: 9:00 AM – 12:00 PM
- Evening: 5:00 PM – 8:00 PM
- Weekend: Sat & Sun
- Fast Track: Available on request
Certification
Upon completion, you will receive a Getin Technologies Course Completion Certificate. We also assist with vendor certifications (Google, AWS, Microsoft, etc.) where applicable.
Frequently Asked Questions — Data Science Training
Basic maths knowledge (Class 12 level) is helpful but not mandatory. We cover all required statistics and linear algebra concepts as part of the course.
Entry-level Data Scientists earn u20b95 LPA to u20b910 LPA. Mid-level professionals earn u20b912 LPA to u20b920 LPA. Senior Data Scientists at top tech firms earn u20b925 LPA to u20b950 LPA.
Python is the primary language. We also cover R basics and SQL for database queries. Python is the industry standard for Data Science and ML.
Yes. You will work on datasets from Kaggle, real business problems, and build at least 5 ML models including a capstone project for your portfolio.
Yes. We have a dedicated fresher track. Many of our Data Science alumni secured their first job directly out of college through our placement program.