Data Science
The Data Science course equips you with the skills to analyze and interpret complex data. Learn Python, statistics, machine learning, and data visualization to make data-driven decisions. This course is designed for beginners and professionals looking to enhance their analytical skills and build a career in data science.

Placement Assistance Program*
Course Details
Instructor:
Industry Expert with 5+ years of experience
Difficulty Level:
Beginner to Intermediate
Duration:
8 to 9 month
Mode:
Online and offline
Course Content
Preparatory Sessions –Python
Get started with Python through our structured preparatory sessions. Learn the fundamentals, explore essential tools, and gain hands-on experience with guided practice to build a strong programming foundation.
- Introduction to Python and IDEs
- Python Basics
- Hands-on Sessions and Assignments for Practice
Data Transformation Using SQL
Master the art of data manipulation with SQL. From foundational concepts to advanced techniques, explore SQL basics, optimize performance, and dive deep into user-defined functions for efficient data processing.
- SQL Basics
- Advanced SQL
- Deep Dive into User Defined Functions
Python Libraries for Data Science
Harness the power of Python’s top libraries for data science. Learn to handle data with NumPy, manipulate datasets using Pandas, preprocess data effectively, and create insightful visualizations.
- Data Handling with NumPy
- Data Manipulation Using Pandas
- Data Preprocessing
- Data Visualization
Inferential Analytics
Build a strong foundation in inferential statistics and prescriptive analytics. Learn to leverage Python for descriptive, diagnostic, and predictive statistical analysis to derive meaningful insights from data.
- Statistics and Descriptive Analytics
- Python for Descriptive, Diagnostic, and Inferential Statistics
- Prescriptive Analytics
Machine Learning
Explore the core concepts of machine learning, from regression and classification to clustering techniques. Gain hands-on experience in building predictive models using real-world datasets.
- Introduction to Machine learning
- Regression
- Classification
- Clustering
Supervised Learning
Master supervised learning techniques, including regression models, decision trees, random forests, and support vector machines. Learn to evaluate model performance using classification reports, confusion matrices, and time series forecasting.
- Linear Regression
- Logistic Regression
- Decision Tree
- Random Forest
- Support Vector Machine
- K-Nearest Neighbours
- Time Series Forecasting
- Performance Metrics
- Classification reports
- Confusion matrix
Unsupervised Learning
Understand unsupervised learning methods like K-means clustering and dimensionality reduction techniques such as PCA and LDA. Learn how to uncover hidden patterns in data without labeled outputs
- K-means
- Dimensionality reduction
- Linear Discriminant Analysis
- Principal Component Analysis
Advanced Machine Learning Algorithms
Dive deeper into machine learning with advanced techniques like bagging, boosting, and predictive analytics. Explore cognitive science applications to enhance model performance.
- Bagging And Boosting Algorithms
- Other Machine Learning Algorithms
- Predictive Analytics and Machine Learning
- Cognitive Science and Analytics
Data Science at Scale with spark
Learn to handle big data efficiently using Apache Spark. Understand RDDs, advanced Spark concepts, and the integration of Spark with Hive for large-scale data processing.
- Introduction to Big Data and Spark
- RDDs
- Advanced Concepts & Spark-Hive
Deep Learning Using TensorFlow
Discover the fundamentals of artificial intelligence and deep learning. Explore neural networks and TensorFlow to build and train deep learning models.
- Artificial Intelligence Basics
- Neural Networks
- Deep Learning
Natural Language Processing
Unlock the power of NLP with text mining, sentiment analysis, and sequence modeling. Learn to build AI-driven chatbots and recommendation engines.
- Text Mining, Cleaning, and Pre-processing
- Text classification, NLTK, sentiment analysis, etc
- Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modelling
- AI Chatbots and Recommendations Engine
Power BI
Gain expertise in data visualization and analytics using Power BI. Learn DAX, create interactive dashboards, and perform hands-on exercises to turn raw data into actionable insights.
- Power BI Basics
- DAX
- Data Visualization with Analytics
- Hands-on Exercise
MLOps
Understand MLOps principles for deploying and managing machine learning models in production. Learn best practices for automation, monitoring, and scalability.
- Introduction to MLOps
- Deploying Machine Learning Models
Data Science Capstone Project
Apply your knowledge to a real-world data science project. Work on an end-to-end problem statement, integrating machine learning, deep learning, and data visualization techniques.
Fee Structure
Total Fee: ₹ 1,99,999/-
Introductory Offer: ₹ 1,49,999/- (+GST)
With our affordable EMI option, your fee can be as low as ₹ 8,333/- month
What’s Included
- Lifetime access to course materials
- Hands-on projects and real-world case studies
- Certification upon completion
- 24/7 mentor support
- Access to a community of learners
Tools to Master









Requirements
- Basic understanding of mathematics and statistics
- No prior programming experience required
- Suitable for students, working professionals, and career switchers
3-4 Years after Program
- 17.45 LPA Average CTC
- 550% Hike for experienced professionals
- 320% Hike for freshers & young professionals
Our Alumni work at top companies






Fee | Amount (excl. tax) | Due Date |
---|---|---|
Registration Fee | INR 25,000 | To be paid upon the acceptance of the offer letter |
Remaining fee payable | INR 95,000 | To be paid as per the fee structure given by institution |
Total | INR 1,20,000 (+GST) |
Weekend only classes
Classes are scheduled exclusively on weekend, with sessions talking place on Saturday & Sunday
3 Guaranteed Interviews
* Subject to the terms & conditions stated in the career service policy
** Based on experience & performance