The Complete Data Scientist & Machine Learning Roadmap
Step-by-step roadmap to becoming a Data Scientist: Linear Algebra, Statistics, Pandas, NumPy, Scikit-Learn, XGBoost, Deep Learning, and MLOps.
Phase 1: Applied Mathematics & Exploratory Data Analysis (Month 1)
Master linear algebra, descriptive & inferential statistics, probability distributions, hypothesis testing, NumPy, and Pandas.
Phase 2: Supervised & Unsupervised Machine Learning (Month 2)
Learn core ML algorithms: Linear/Logistic Regression, Decision Trees, Random Forests, XGBoost, and K-Means. Master cross-validation.
Phase 3: Deep Learning & NLP Fundamentals (Month 3)
Understand Artificial Neural Networks, backpropagation, CNNs for vision, and NLP techniques (tokenization, embeddings).
Phase 4: MLOps, Containerization & Production Serving (Month 4)
Wrap models inside FastAPI REST endpoints, dockerize prediction servers, and implement data drift monitoring.
Skip the guesswork and follow this exact roadmap with structured in-person mentoring at our campus in C-60 R.K Tower, 3rd Floor, RDC, Ghaziabad.
Speak with a Mentor: 7503962162Visit Our Ghaziabad Training Center
Join classroom batches, attend interactive lab sessions, code with mentors, and take advantage of our high-speed dev workstations.
C-60 R.K Tower, 3rd Floor, RDC, Ghaziabad, Ghaziabad, Uttar Pradesh
Call 7503962162