Data Science
Data science combines statistics, programming, and domain expertise to extract meaningful insights from data. By leveraging machine learning, AI, and advanced analytics, businesses can uncover patterns, predict trends, and make data-driven decisions. From healthcare to finance, data science optimizes operations, enhances customer experiences, and drives innovation. Key skills include Python/R, SQL, data visualization, and predictive modeling. Whether analyzing big data or automating processes, data science transforms raw information into actionable intelligence.
Where do we use Data Science
Healthcare Industry
Finance and Banking
E-Commerce and Retail
Transportation and Logistics
Social Media and Digital Marketing
Manufacturing and Supply Chain
Government and Public Sector
Course Syllabus
- Introduction to Data Science
- Python for Data Science
- Data Analysis and Manipulation
- Data Visualization
- Statistics for Data Science
- Exploratory Data Analysis (EDA)
- Machine Learning Basics
- Model Evaluation
- Working with Real-world Datasets
- Deep Learning
- Natural Language Processing (NLP)
- Big Data and Spark
- Data Engineering Basics
- Capstone Projects
- Domain-Specific Applications
