Python for Data Science - Database and Visualization
Build job-ready data skills with Python, databases, and visual storytelling
Created by Nirmal Joshi
Explore the full data science workflow with Python, from cleaning and analyzing data to managing databases and creating clear visualizations. You'll gain hands-on experience with essential tools like NumPy, Pandas, MySQL, MongoDB, and Matplotlib to confidently handle real-world data challenges.
INIT Tech Labs | 633 min
What You Will Learn
You'll start by setting up your environment and Jupyter Notebook, then move step by step through practical demonstrations using real data. Each section includes hands-on coding, data cleaning, database queries, and visualization tasks to help you build skills through direct practice and mini projects.
Key Features
- Build and manipulate data with NumPy and Pandas for powerful analysis
- Connect Python to MySQL and MongoDB to manage and query structured data
- Present insights visually using Matplotlib to create clear, effective charts
Target Audience
This course is ideal for aspiring data scientists, analysts moving from Excel to Python, and developers looking to integrate Python with databases. If you know basic Python and want to handle, analyze, and visualize data more effectively, you'll find practical guidance and real-world examples to help you grow.
