Python for Time Series - Data Analysis & Forecasting

[LeeAndro]

Published 10/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 29 lectures (1h 15m) | Size: 273.3 MB

Repeat the Statistics and Python fundamentals
Learn building an ARIMA model in Python
Learn the application of Dickey - Fuller test in Python
Learn checking for seasonality in Python

Welcome to the Python for Series - Data Analysis & Forecasting course.​

This course is built for students who wants to learn python applications for series data sets. This course covers the usage of Python libraries on series data. There will be both short lectures of statistics and Python fundamentals at the starting of the course in order to remembering the basics. Then the libraries of Python which is used for series data will be covered. At the end of the course an analysis and forecast is going to be made from gold prices data set for practicing what is learned in the course for one more . So the course outline is

Statistics Fundamentals

Python Fundamentals

Pandas Introduction

Usage of Python Libraries for Series Data

Series Project

After taking this course you will be able to use Pandas library for Series Data, check for seasonality for Series Data, do a Dickey - Fuller test (test for stationary) for Series Data, build an ARIMA model for Series Data and build a Series project completely. If you are interested in Python for Series, you can enroll into my course. You can reach to me about the course every from the Q&A section of the course on Udemy.

Students who wants to learn Series applications in Python

No Python experience needed
Willingness to learn series applications of Python

HomePage:

https://anonymz.com/https://www.udemy.com/course/python-forseries/

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https://1dl.net/s8q3lkaqel0v/hRELesjn__Python_for.rar.html