Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)

Embark on a comprehensive 4-5 hour journey into data analysis with Python, designed for beginners. Explore the entire data analysis process, from reading data from various sources like CSVs, SQL, and Excel to processing it with NumPy and Pandas. Learn to visualize data using Matplotlib and Seaborn, and master data cleaning techniques for creating insightful reports. Dive into a thorough Jupyter Notebook tutorial and refresh your Python skills with a quick reference guide. Gain hands-on experience through practical exercises and real-life examples, covering topics such as introduction to data analysis, NumPy fundamentals, Pandas essentials, data cleaning strategies, and reading data from diverse sources. By the end of this course, you'll have the skills to tackle data analysis projects using powerful, open-source Python libraries.

⌨️ Part 2: Real Life Example of a Python/Pandas Data Analysis project
⌨️ Part 3: Jupyter Notebooks Tutorial
⌨️ Part 4: Intro to NumPy
⌨️ Part 5: Intro to Pandas
⌨️ Part 6: Data Cleaning
⌨️ Part 7: Reading Data from other sources
⌨️ Part 8: Python Recap