Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Information Not Available |
Mode of Study | Full Time |
Institute Type | Private |
Module | Important Topics |
---|---|
Introduction to Data Science | Basics of Data Science, Data Types, Data Science Lifecycle |
Programming for Data Science | Python Programming, R Programming, Data Structures |
Mathematics for Data Science | Linear Algebra, Calculus, Statistics & Probability |
Data Management and Manipulation | SQL, NoSQL, Data Cleaning, Data Transformation |
Data Analysis and Visualization | Exploratory Data Analysis, Tableau, Power BI, Matplotlib, Seaborn |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Deep Learning | Neural Networks, TensorFlow, Keras |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Capstone Project | Real-world Data Science Project, Project Management, Presentation Skills |