Data Analysis with Python: Part 6 of 6 - Exploratory Data Analysis - A Case Study [Live Course]

YouTube Excerpt: “Data Analysis with Python: Zero to Pandas” is a practical, beginner-friendly and coding-focused introduction to data analysis covering the basics of Python, Numpy, Pandas, data visualization and exploratory data analysis. You can learn more and register for a Certificate of Accomplishment at http://zerotopandas.com. ⭐️ Resources ⭐️ 🔗 Exploratory Data Analysis notebook: https://jovian.ml/aakashns/python-eda-stackoverflow-survey 🔗 EDA Course project starter notebook: https://jovian.ml/aakashns/zerotopandas-course-project-starter 🔗 Lecture forum discussion: https://jovian.ml/forum/t/lecture-6-exploratory-data-analysis-a-case-study/12077 🔗 Course project discussion: https://jovian.ml/forum/t/course-project-on-exploratory-data-analysis-discuss-and-share-your-work/11684/134 ⭐️ Topics covered ⭐️ ⌨️ Exploratory Data Analysis using Python - A Case Study ⌨️ Course project overview & guidelines ⌨️ Review of topics covered in the course ⌨️ What to do after the course 🎥 Watch the entire series here: https://www.youtube.com/playlist?list=PLWKjhJtqVAblvI1i46ScbKV2jH1gdL7VQ ✏️This course is taught by Aakash N S, cofounder & CEO of Jovian.ml - a platform for sharing, showcasing and collaborating on data science projects online 🔗 YouTube: https://youtube.com/jovianml 🔗 Twitter: https://twitter.com/jovianml 🔗 LinkedIn: https://linkedin.com/company/jovianml -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

“Data Analysis with Python: Zero to Pandas” is a practical, beginner-friendly and coding-focused introduction to data analysis covering the basics...

Read Full Article 🔍

Curious about Data Analysis With Python: Part 6 Of 6 - Exploratory Data Analysis - A Case Study [Live Course]'s Color? Explore detailed estimates, salary breakdowns, and financial insights that reveal the true scope of their profile.

Source ID: XRKIa4k0h2E

Category: color style guide