Duration: Two Months
Format: Hands-on Practice Sessions + Assignments + Capstone Project
This hands-on course covers essential analytics techniques including data cleaning, exploration, visualization, and statistical analysis using Python’s powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn. You’ll learn how to work with real-world datasets, uncover patterns, and make data-driven decisions across various domains. Whether you’re aiming to boost business performance or explore trends in research, this course equips you with the skills to analyze and interpret data effectively. By the end, you’ll be confident in using Python to solve complex problems and communicate findings with clarity.
Course Curriculum:
- Introduction to Data Analytics and Python
- Python variable types, operators, and structures
- Python looping and branching
- Setting up Python Environment
- Loading data with Pandas
- Data cleaning and pre-processing
- Introduction to Matplotlib
- Basic Plotting with Matplotlib
- Customizing Plots
- Introduction to Seaborn
- Distribution Plots
- Categorical Plots
Ideal For: Business analysts, data professionals, managers requiring data visualization skills
