Land a Data Scientist role in 3 months
From Python and statistics to ML, deep learning and applied GenAI — with real datasets and mentor-reviewed portfolio projects.
We teach mindset, not memorization
- Duration3 months of live instructor-led sessions
- Commitment2.5 hr live/week + 5–7 hrs self-paced
- ModeOnline · Live + self-paced
- Ideal forEveryone — freshers, experienced, tech, non-tech
What you'll master
Module-level detail across the full program.
- Python for data science with NumPy and Pandas
- Descriptive & inferential statistics essentials
- Data cleaning, feature engineering, EDA
- SQL fundamentals for data pulls
- Matplotlib, Seaborn, Plotly — telling stories with data
- Supervised learning: regression, classification, tree ensembles
- Unsupervised learning: clustering, dimensionality reduction
- Model evaluation, cross-validation, feature importance
- PyTorch fundamentals & tensor operations
- CNNs for image classification
- RNNs / Transformers for sequence data
- Transfer learning for real-world problems
- Text preprocessing, embeddings, sentiment analysis
- Large Language Models: prompting, RAG, fine-tuning
- LangChain / LlamaIndex for production AI apps
- Vector databases (Chroma, Pinecone)
- Docker, MLflow, model registries
- FastAPI for serving ML models
- AWS SageMaker / GCP Vertex AI basics
- Monitoring, drift detection, A/B testing models
- End-to-end capstone with real client dataset
- Case-study interviews, SQL rounds, ML system design
- Kaggle & GitHub portfolio polish
- Mock interviews with hiring managers
Learn from applied ML practitioners with 10+ years at Amazon, Deutsche Bank and Persistent Systems who have hired and mentored dozens of data scientists.
Where our graduates work
Real students. Real offers.
“DigieKnowledge gave me structured, high-quality learning experiences that went beyond theory.”
“DigieKnowledge helped me strengthen both my technical expertise and leadership skills.”
“The interview preparation and job guidance made all the difference in my career journey.”
We tailor tuition to your background, batch, and payment plan. Book a 15-minute call and get a written quote in one business day.
- Flexible EMI / instalment options
- Employer sponsorship & GST invoice available
- Refund policy: full refund within 7 days of enrolment if unsatisfied
Common questions
Everything you might want to ask before joining.
Basic school-level maths is enough. Module 1 rebuilds the statistics and linear algebra you'll need — most students find it very approachable.
Yes — a dedicated module covers to LLMs, RAG, fine-tuning and building production GenAI applications with LangChain.
Yes — mock interviews, portfolio review, referrals to hiring partners, and negotiation coaching.
Plan for 2.5 hrs of live sessions + 5–7 hrs of self-paced work. Total: 8–10 hrs/week for 3 months.
100% refund within the first 7 days if the program is not the right fit for you.
Drop your details and we'll get back within one business day.