Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Learn the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis in this course for beginners. This was originally presented as a live course. By the end of the course, you will be able to build an end-to-end real-world course project and earn a verified certificate of accomplishment. There are no prerequisites for this course. Learn more and register for a certificate of accomplishment here: http://zerotopandas.com ‼️ Some of the data files used in this course are now in a new location. Some of the data you can find in this repo: https://github.com/the-stranger-web/jovian_Data_Analyst/tree/main 💻 Code References • First steps with Python: https://jovian.ai/aakashns/first-steps-with-python • Variables and data types: https://jovian.ai/aakashns/python-variables-and-data-types • Conditional statements and loops: https://jovian.ai/aakashns/python-branching-and-loops • Functions and scope: https://jovian.ai/aakashns/python-functions-and-scope • Working with OS & files: https://jovian.ai/aakashns/python-os-and-filesystem • Numerical computing with Numpy: https://jovian.ai/aakashns/python-numerical-computing-with-numpy • 100 Numpy exercises: https://jovian.ai/aakashns/100-numpy-exercises • Analyzing tabular data with Pandas: https://jovian.ai/aakashns/python-pandas-data-analysis • Matplotlib & Seaborn tutorial: https://jovian.ai/aakashns/python-matplotlib-data-visualization • Data visualization cheat sheet: https://jovian.ai/aakashns/dataviz-cheatsheet • EDA on StackOverflow Developer Survey: https://jovian.ai/aakashns/python-eda-stackoverflow-survey • Opendatasets python package: https://github.com/JovianML/opendatasets • EDA starter notebook: https://jovian.ai/aakashns/zerotopandas-course-project-starter ❤️ Try interactive Python courses in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from Scrimba) ⭐️ Course Contents ⭐️ 0:00:00 Introduction Lecture 1 0:01:42 Python Programming Fundamentals 0:02:40 C