The Complete Pandas Bootcamp 2020: Data Science with Python online course has been taught by Alexander Hagmann on Udemy, this course is an excellent way to learn Pandas fully explained | 150+ Exercises | Must-have skills for Machine Learning & Finance | + Scikit-Learn and Seaborn.
Introduction to The The Complete Pandas Bootcamp 2020: Data Science with Python Course
This course is perfect for everyone who want to switch Data Projects from Excel to more powerful tools (e.g. in Research/Science).
This course is for data Scientists who want to improve their Data Handling/Manipulation skills.
This course is perfect for Investment/Finance Professionals who reached the limits of Excel.
This course is for everyone who want to step into Data Science. Pandas is Key to everything.
After completing the course, you’ll
Be able to master a complete Machine Learning Project A-Z with Pandas, Scikit-Learn, and Seaborn
Be able to best transition from Versions 0.X to new Version 1.0
Be able to master important Statistical Concepts with scipy
Be able to Bring your Data Handling & Data Analysis skills to an outstanding level.
Be able to learn and master the most important Pandas workflows for Finance
Be able to learn Pandas based on NEW Version 1.0 (the days of versions 0.x are over)
Be able to practice and master your Pandas skills with Quizzes, 150+ Exercises, and Comprehensive Projects
Be able to import, clean, and merge messy Data and prepare Data for Machine Learning
Be able to learn the Basics of Pandas and Numpy Coding (Appendix)
Be able to import Financial/Stock Data from Web Sources and analyze them with Pandas
Be able to analyze, visualize, and understand your Data with Pandas, Matplotlib, and Seaborn
Be able to learn and practice all relevant Pandas methods and workflows with Real-World Datasets
Course Name: The Complete Pandas Bootcamp 2020: Data Science with Python
Description: Pandas fully explained | 150+ Exercises | Must-have skills for Machine Learning & Finance | + Scikit-Learn and Seaborn
Author: Alexander Hagmann
Rating: As of 9/2020… 4.7 ( 1,397 ratings) and 9,924 students enrolled
Includes: 32 hours of video, 42 articles, 24 downloadable resources, and 307 lectures
Course Type: Self Paced Online Course. Lifetime Access