Udemy – Python for Time Series Data Analysis 2019-5

Description

Python for Time Series Data Analysis is a training course on the Udemy site that teaches you how to use Python, Pandas, Numpy, and Statsmodels to predict and analyze time series data. A time series is a sequence of random variables sampled at fixed intervals. This course covers all the tips for using Python to analyze time series and introduces you to other essential tools.

At the beginning of the course you will learn how to work and edit data with the help of NumPy and Pandas libraries and the Python language, and then you will learn how to visualize and work with time data. You will then begin to learn about the Statsmodels library and its time series analysis tools. At the end, the instructor will teach you how to build prediction models and introduce you to deep learning techniques.

Items that will be taught in this course

Use Pandas to edit data

Use NumPy and Python for numerical processing

Use Pandas for visualization

Work with time series data

Use Statsmodels for time series analysis

Familiarity with ARIMA models

Python for Time Series Data Analysis

English language

Duration: 15 hours and 21 minutes

Number of courses: 95

Level of education: Intermediate

Instructor: Jose Portilla

File format: mp4

Topics

95 lectures 15:21:14

Introduction 3 lectures 13:50

Course Set Up and Install 1 lecture 15:54

NumPy 7 lectures 47:04

Pandas Overview 10 lectures 01:26:36

Data Visualization with Pandas 5 lectures 42:06

Time Series with Pandas 12 lectures 01:41:17

Time Series Analysis with Statsmodels 10 lectures 01:28:54

General Forecasting Models 28 lectures 05:46:18

Deep Learning for Time Series Forecasting 13 lectures 02:12:39

Facebook’s Prophet Library 5 lectures 46:25

BONUS SECTION: THANK YOU! 1 lecture 00:10

Prerequisite

General Python Skills (knowledge up to functions)

Installation

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Quality: 720p