Data Science Essentials with Python

Duration: 35 Hrs.

No prior coding experience required — learn everything from the ground up with guided mentorship.

• Hands-on learning using Python, Pandas, NumPy, Matplotlib, and Seaborn

• Step-by-step projects covering data cleaning, analysis, and visualization

• Practical exposure to Jupyter Notebook and real-world datasets

• Career-focused training with portfolio-ready projects and resume guidance

Why Choose This Course?

Dive into the world of data-driven decision making with Python and master the skills needed to turn raw data into actionable insights. This beginner-friendly program helps you build a strong foundation in data analysis, visualization, and statistical interpretation using popular Python libraries.

You’ll work on real-world projects that simulate professional data workflows — from cleaning and transforming data to exploring trends and creating insightful visual reports.