Udemy - Applied Data Analytics for Finance and Investment

[ FreeCourseWeb.com ] Applied Data Analytics for Finance and Investment



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 32 lectures (4h 3m) | Size: 1.47 GB

Become a certified data-analyst able to make smarter decisions about Investment

What you'll learn:

Python programming

Supervised Machine Learning

Unsupervised Machine Learning

Build and deploy machine learning web-app

Web-scraping

Building map-plots and putting up online



Requirements

A computer with internet facility



Description

This is a super-basic course intended for people who know absolutely nothing about python or data-science.



My aim is to help you learn python programming while learning to employ data-science solutions to financial investment problems. At it's best, this course is probably your first-stepping stone into the world of python and data-science. If you are a seasoned python programmer or data-scientist - this course might serve as a refresher (at the most). Also, this is an applied course and there is little theory in it. I hope to offer some insight into the theory from the quizzes. But I recommend you to read books on python, data-science and statistics for more in-depth learning. Also, I have restricted the use of jargons in this tutorial and made it as simple as possible.



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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Get Latest Apps Tips and Tricks -->> https://AppWikia.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...