Master Data Science & Machine Learning Course in Gurugram
Acquire the skills to analyze complex datasets, build machine learning models, and derive actionable business insights. SSSAM Academy offers a comprehensive, practical training program designed for both beginners and career switchers.
📍 SSSAM Academy Center: M24 Ground floor, Old DLF, Sector 14, Gurugram
Master Data Science & Machine Learning Training in Gurugram
SSSAM Academy is a trusted computer institute in Gurugram offering practical Master Data Science & Machine Learning training at Old DLF, Sector 14.
Our Master Data Science & Machine Learning Course in Gurugram is designed to guide learners from basic concepts to advanced practical implementation. This training program covers core principles, real-world application workflows, and capstone project assignments.
Master Data Science & Machine Learning Course Syllabus
Our comprehensive curriculum is split into logical modules to guide you from fundamentals to advanced skills.
- Main Topic 1: Python Syntax & Data Structures — Variables, Control Flow, List Comprehensions, Dictionaries, Lambda Functions
- Main Topic 2: Object-Oriented Programming (OOP) — Classes, Objects, Inheritance, Encapsulation, Custom Modules
- Sub-topic: File Handling & Formats — Parsing CSV, JSON, Excel, Exception Handling & Virtual Environments
- Practical Capstone: Building a modular automated data ingestion pipeline in Python
- Main Topic 1: Descriptive Statistics & Probability — Mean, Median, Variance, Standard Deviation, Normal & Binomial Distributions
- Main Topic 2: Inferential Statistics & Hypothesis Testing — Z-test, T-test, ANOVA, Chi-Square, p-values, Confidence Intervals
- Sub-topic: Business A/B Testing — Designing experiments, sample size estimation, and conversion rate analysis
- Practical Capstone: Statistical hypothesis testing report on e-commerce user behavior
- Main Topic 1: Multi-Dimensional Data Arrays (NumPy) — Matrix operations, indexing, vectorization & broadcast rules
- Main Topic 2: Advanced Pandas Data Manipulations — DataFrames, Missing Value Imputation, GroupBy, Merging, Pivot Tables
- Sub-topic: Database Querying with SQL — Joins, Subqueries, CTEs, Window Functions (`RANK`, `DENSE_RANK`)
- Practical Capstone: Cleaning and wrangling large scale financial transaction datasets
- Main Topic 1: Exploratory Visual Analytics — Line plots, Histograms, Box plots, Scatter charts, Heatmaps (Seaborn)
- Main Topic 2: Interactive BI Dashboards with Power BI — Power Query ETL, Star Schema Modeling, DAX Measures
- Practical Capstone: Creating an interactive executive dashboard published to Power BI Cloud
- Main Topic 1: Supervised ML Algorithms — Linear & Logistic Regression, Decision Trees, Random Forests, XGBoost, SVM
- Main Topic 2: Unsupervised Learning & Dimensionality Reduction — K-Means Clustering, Principal Component Analysis (PCA)
- Sub-topic: Feature Engineering & Tuning — One-Hot Encoding, StandardScaler, GridSearchCV, Cross-Validation
- Sub-topic: MLOps Deployment & REST APIs — Serving models via FastAPI/Flask REST endpoints & Streamlit Web Apps
- Practical Capstone: End-to-End Predictive Machine Learning Application Deployed on Cloud
- Real-world cases: E-commerce customer churn and product recommendations
- Final Portfolio: Completing a deployment-ready capstone project
Tools & Technologies Covered
Master industry-standard tools and libraries used by top professional teams globally.
Python Analytics
Clean and analyze large datasets using Pandas, NumPy, and scripting.
Scikit-Learn
Train machine learning models for regression, clustering, and metrics.
Power BI
Build interactive business intelligence dashboards and data connections.
Jupyter Notebooks
Write, document, and test interactive scripts and code cells.
Industry Projects & Case Studies
Build a job-ready portfolio by working on real-world projects and application designs.
Real-World Datasets
Gain experience handling noisy, real-world data files, cleaning records, and dealing with missing data values.
- Performance tracking with multi-variable metrics
- User pattern classification with behavioral records
- Anomaly detection models using pattern classifiers
Business Use Cases
Solve complex business challenges and learn to evaluate and present model outcomes to stakeholders.
- Workflow optimization models based on preferences
- Performance forecasting using statistical modeling
- User market segmentation using clustering
Portfolio & Git Profile
Publish clean code, project documentation, and summaries to demonstrate your coding skills to recruiters.
- Structured repositories with clear explanations
- GitHub repositories containing code and professional README files
- Interview-ready explanations of metrics and trade-offs
Course Details & Batches
Flexible schedules and batch options tailored for both students and working professionals.
Duration
The structured training program runs for 3–4 months to cover all modules in detail.
Learning Modes
Attend interactive offline classes at our center or join online live classes from anywhere.
Location
Our Gurugram center is located in Old DLF, Sector 14, offering excellent local connectivity.
Flexible Batches
Small batch sizes with options for weekday, evening, and weekend batches.
Placement & Career Support
Resume optimization, technical interview guides, and referrals to help you transition into core roles.
Resume & LinkedIn Builder
Optimize your professional profile and resume to highlight project portfolios.
Technical Interview Prep
Prepare with structured guides covering algorithms, core concepts, and programming questions.
Expert Mock Interviews
Gain confidence and receive detailed feedback through 1-on-1 mock interviews with industry practitioners.
Corporate Referrals
Access SSSAM Academy's corporate relationships for direct referrals and placement drives.
What Our Students Say
Vikas Kumar
Amazing learning experience at SSSAM Academy Gurugram. The instructors are extremely helpful and guide you individually through all practical assignments.
Neha Yadav
Best computer training classes in Gurgaon. They cover the syllabus with actual code exercises instead of theoretical slides. Very satisfied with my certification program.
Sandeep Singh
Practical learning standard is top notch. The laboratory facilities and interactive live doubt support made it very easy to transition into coding.
Preeti Sharma
SSSAM Academy Old DLF is highly structured. From basic details to project work, everything is extremely professional. The placement support is very responsive.
Manish Malhotra
Great curriculum and flexible batch timings. The trainers are patient and ensure every student gets their doubts resolved. Best coding institute.
Ananya Roy
Excellent class setup, good computers and individual mock tests helped me boost my confidence. I got placed within 2 weeks of finishing my projects.
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Frequently Asked Questions (FAQs) – Master Data Science & Machine Learning Course in Gurugram
What is the duration of the Master Data Science & Machine Learning course at SSSAM Academy?
The course runs for 3 to 4 months depending on the batch schedule and project completion pace. The training includes core concepts, practical assignments, and portfolio preparation.
Where is SSSAM Academy located in Gurugram?
SSSAM Academy is located in Old DLF Sector 14, Gurugram, Haryana. Our center is easily accessible from nearby areas including DLF Phase 1, DLF Phase 2, and Sector 15.
Are flexible batches available for working professionals?
Yes, we provide flexible weekday, evening, and weekend batches so that working professionals and students can easily balance their learning schedules.
Ready to Learn Master Data Science & Machine Learning in Gurugram?
Join students who are building careers in IT and technology at SSSAM Academy, a trusted computer institute in Gurugram located in Old DLF Sector 14. Start your learning journey with practical training in Master Data Science & Machine Learning guided by experienced mentors. Limited seats are available for the upcoming batch—enroll now and begin your training within the next 48 hours.
Special Offer: Get 15% discount on course fees and a free career guidance session when you enroll this week.