PrepNPro’s Python for Data Science course is designed to introduce learners to the fundamentals of Python programming with a strong focus on data analysis, manipulation, and visualization. Ideal for aspiring data scientists and analysts, this course equips students with hands-on experience using industry-standard libraries like Pandas, NumPy, and Matplotlib.
Through real-world datasets and practical projects, learners will gain the skills required to extract insights from data and present them effectively.
Key Highlights:
✅ Python Basics & Syntax for Data Science
✅ Data Structures & Data Cleaning Techniques
✅ Working with Pandas & NumPy
✅ Data Visualization using Matplotlib & Seaborn
✅ Exploratory Data Analysis (EDA) Projects
✅ Hands-on Assignments & Case Studies
Ideal For:
🔹 Aspiring Data Scientists
🔹 College Students & Fresh Graduates
🔹 Professionals shifting to data roles
🔹 Anyone interested in learning data analytics with Python
Outcome:
By the end of the course, learners will be able to analyze, visualize, and interpret data using Python, setting a strong foundation for a career in data science or analytics.
