MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 21 lectures (2h 17m) | Size: 2.19 GB
Getting started in data science with the rudiments of correlation analysis and Python.
What you'll learn:
Students will learn to get started with Data Science, quick.
This course will teach the rudiments of correlation analysis.
This course will also teach the rudiments of python.
Software installation is not required: but this course will provide helpful suggestions for students that wish to install Python.
Students will learn to execute correlation analysis in Ptyhon from scratch.
The bonus material also teaches students about Pandas, Data Management, and other related topics.
Requirements
There are no prerequisites.
This course is designed for individuals that have no, or very little, experience with data science.
Students looking to a review or a refresher of correlation analysis or Python will also benefit from this course.
No software installation is required.
Description
Everyone has to start someplace! A "quick start" in data science isn't a contradiction in terms! This course is for beginners.
Students will learn to get started with Data Science, quick. This course will teach the rudiments of two topics.
First, it will teach correlation analysis.
Second, it will teach Python.
There are two knowledge checks to help students assess their own learning.
Plus there is also a capstone experience. The capstone experience will ask students to implement correlation analysis from scratch in Python. There are no prerequisites. No software installation is required.
Who this course is for
Students looking to get started with data science.
Students looking to learn (or review) the rudiments of correlation analysis.
Students looking to learn (or review) the rudiments of Python.
Anyone interested in a path to getting started with data science, quickly.
Homepage
https://www.udemy.com/course/data-science-quick-start/
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