Data Science

Course Description

Dive into the world of data with our comprehensive Data Science course. Designed for aspiring data professionals, this course equips you with the essential skills and tools needed to analyze data, draw insights, and make data-driven decisions.

Key Learning Outcomes:

• Introduction to Data Science: Understand the data science lifecycle, from data collection to analysis and visualization.
• Programming for Data Science: Gain proficiency in Python or R, focusing on libraries such as Pandas, NumPy, and Matplotlib for data manipulation and analysis.
• Statistical Analysis: Learn fundamental statistical concepts and techniques to interpret data accurately and effectively.
• Data Visualization: Discover best practices for visualizing data using tools like Tableau and Seaborn, enabling you to communicate findings clearly.
• Machine Learning: Get hands-on experience with supervised and unsupervised learning algorithms, including regression, classification, and clustering techniques.
• Data Wrangling: Master techniques for cleaning and preparing data, ensuring high data quality for analysis.
• Real-World Applications: Work on case studies and projects that simulate real-world data challenges, preparing you for a career in data science.

Duration

10 Weeks (3 hours per week)