Python Basics for Data Science

Course Overview: Python For Data Science

Our Python for Data Analysis course is a practical, beginner-friendly program that introduces you to the most powerful programming language for data science. This course is designed to help you understand, clean, visualize, and analyze data using Python libraries like Pandas, Matplotlib, Seaborn, and more.

Mode of Instruction: 100% Online
Duration: 7 Weeks
Delivery: Live Zoom Sessions, Recorded Video Lessons, Hands-on Projects, Downloadable Materials, and Quizzes.

What You'll Learn Week by Week:

Week 1: Introduction to Python

• Installing Python and Jupyter Notebook
• Basic syntax, variables, and data types
• Conditional statements and loops
• Simple projects with input/output

Week 2: Working with Data Structures

• Lists, tuples, sets, and dictionaries
• String manipulation
• List comprehensions and looping techniques
• Mini-project: Simple data calculator

Week 3: Introduction to NumPy and Pandas

• NumPy arrays and operations
• Pandas Series and DataFrames
• Importing and exporting datasets (CSV, Excel)
• Basic data cleaning and manipulation

Week 4: Exploratory Data Analysis (EDA)

• Descriptive statistics using Pandas
• Handling missing data
• Filtering, sorting, and grouping data
• EDA mini project with real dataset

Week 5: Data Visualization

• Matplotlib for basic plotting
• Seaborn for advanced visualizations
• Line plots, bar charts, histograms, box plots
• Customizing and saving plots

Week 6: Statistical Analysis with Python

• Correlation and Covariance
• Basic inferential stats using SciPy
• T-tests, Chi-square tests, ANOVA
• Interpreting results from statistical tests

Week 7: Final Project and Career Tips

• Capstone project: Analyze a dataset from scratch
• Creating a summary report and visual dashboard
• Tips on freelancing, CV writing, and GitHub portfolio
• Final assessment and feedback session

Why Join This Course?

• Hands-on training with real datasets
• Interactive sessions and Q&A support
• Certificate of Completion
• Access to a private Python learning community
• Step-by-step guidance for beginners

Whether you're a student, researcher, or aspiring data analyst, this course gives you the skills to manipulate, analyze, and present data using Python — the language powering the data revolution.