In this comprehensive data science course, you will learn how to program in Python, manipulate and analyze data using libraries like Pandas and NumPy, visualize data with Matplotlib and Seaborn, understand and apply statistical and probability concepts, write SQL queries to manage databases, build and evaluate machine learning models, work with real-world datasets, practice ethical data handling, and complete a capstone project to demonstrate your end-to-end data science skills.
This beginner-friendly Data Science course is designed for recent bachelor’s graduates from any discipline who want to build a strong foundation in data science and analytics. The course covers essential tools and concepts including Python programming, data wrangling, statistical analysis, machine learning, data visualization, and working with real-world datasets. Through hands-on exercises, real-life case studies, and a final capstone project, students will gain the practical skills needed to explore data, extract insights, and build predictive models—preparing them for careers in data analytics, AI, and beyond.
0 Reviews
