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DATA SCIENCE MASTER COURSE
The Data Science Master Course is designed to train learners in data analysis machine learning statistical modeling and real-world problem solving using modern tools and technologies. This course covers complete data science workflow including data collection cleaning visualization model building and deployment across multiple business domains.
This program is hands-on project-based and aligned with current industry requirements.
COURSE OBJECTIVES
By the end of this course, learners will be able to:
- Analyze large datasets and extract meaningful insights
- Build predictive machine learning models
- Apply statistical techniques for business decisions
- Visualize data using professional tools
- Work confidently as a data science professional
PYTHON FOR DATA SCIENCE
- Python programming fundamentals
- Data types and functions
- NumPy and Pandas
- Data manipulation techniques
DATA CLEANING & PREPROCESSING
- Handling missing values
- Data transformation
- Feature engineering
- Data quality improvement
EXPLORATORY DATA ANALYSIS
- Data visualization basics
- Pattern discovery
- Statistical summaries
- Business insights generation
STATISTICS FOR DATA SCIENCE
- Descriptive statistics
- Probability concepts
- Hypothesis testing
- Correlation and regression
MACHINE LEARNING FUNDAMENTALS
- Supervised learning
- Unsupervised learning
- Regression and classification models
- Clustering techniques
ADVANCED MACHINE LEARNING
- Decision trees and random forest
- Support vector machines
- Model tuning and optimization
- Performance evaluation
INTRODUCTION TO DEEP LEARNING
- Neural network basics
- TensorFlow or PyTorch introduction
- Simple deep learning models
DATA VISUALIZATION TOOLS
- Power BI or Tableau
- Dashboard creation
- Interactive reporting
REAL WORLD DATA SCIENCE PROJECTS
- Sales prediction project
- Customer segmentation project
- Business analytics project
- Final real-time data science project
TOOLS AND TECHNOLOGIES
- Python
- Jupyter Notebook
- SQL basics
- Scikit-learn
- Power BI or Tableau
WHO CAN ENROLL
- Students and fresh graduates
- Working professionals
- Career switchers
- Data enthusiasts
CAREER OPPORTUNITIES
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- AI Specialist
CERTIFICATION & PLACEMENT SUPPORT
- Industry-recognized certification
- Resume and portfolio preparation
- Interview training and mock interviews
- Internship and placement assistance
Beginner Level
Duration : 1 Month
Portions : Python For Data Science, Exploratory Data Analysis, Data Cleaning & Preprocessing, Database, Tools & Technologies, Projects & Practical Training, Certification.
Fees : Rs. 15,000/-
Intermediate Level
Duration : 3 Months
Portions : Python For Data Science, Advance Machine Learning, Exploratory Data Analysis, Machine Learning Fundamentals, Data Cleaning & Preprocessing, Database, Tools & Technologies, Real World Data Science Projects & Practical Training, Certification.
Fees : Rs. 35,000/-
Advanced Level
Duration : 6 Months
Portions : Python For Data Science, Advance Machine Learning, Introduction to Deep Learning, Data Visualization Tools, Exploratory Data Analysis, Machine Learning Fundamentals, Data Cleaning & Preprocessing, Database, Tools & Technologies, Real World Data Science Projects & Practical Training, Certification.
Fees : Rs. 60,000/-
