Time Series Analysis & Forecasting for Python Hackers

Time Series Analysis & Forecasting for Python Hackers, available at Free, has an average rating of 4.35, with 11 lectures, based on 38 reviews, and has 1622 subscribers.

You will learn about Time Series Analysis Anaconda IDE Time Series Forecasting Jupyter IDE Pandas Library Matplotlib Data Visualization Machine Learning Web Scraping Stock Market Analysis This course is ideal for individuals who are Anyone who wants to learn Time Series Analysis and Forecasting with an emphasis on S&P 500. It is particularly useful for Anyone who wants to learn Time Series Analysis and Forecasting with an emphasis on S&P 500.

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Summary

Title: Time Series Analysis & Forecasting for Python Hackers

Price: Free

Average Rating: 4.35

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Time Series Analysis
Anaconda IDE
Time Series Forecasting
Jupyter IDE
Pandas Library
Matplotlib
Data Visualization
Machine Learning
Web Scraping
Stock Market Analysis

Who Should Attend

Anyone who wants to learn Time Series Analysis and Forecasting with an emphasis on S&P 500.

Target Audiences

Anyone who wants to learn Time Series Analysis and Forecasting with an emphasis on S&P 500.

Time Series Analysis & Forecasting | Stock Market Hacking with Pandasis a course for those interested in Time Series Analysis & Forecasting, or Stock Market Hacking with Pandas. You will learn how to procure data from the cloud, scraping it from the web and saving it for local hacking. You will gain general knowledge of the S&P 500 and how it works. You will learn how to hack and analyze data in a given period or time series to make future predictions. You will learn how to use machine learning algorithms to make predictions of your time series model. Here is an additional summary of what is taught in this course, to see a complete course outline please view curriculum.

WEB SCRAPING STOCK DATA
SAVING STOCK DATA FOR LOCAL HACKING
HACK FORTUNE 500 COMPANY STOCK DATA
ANALYZE TIME SERIES BETWEEN COMPANIES
HOW TO VISUALIZE TRADING STRATEGIES
HOW TO FORMULATE TRADING STRATEGIES
ANALYZING TRADING STRATEGIES WITH A TIME SERIES

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Web Scrape and Plot a Time Series

Lecture 1: Web Scraping Stock Data

Lecture 2: Save, Process, and Plot a Time Series

Chapter 3: Time Series Moving Averages

Lecture 1: Plotting Moving Averages(MA) in a Time Series 1 of 2

Lecture 2: Plotting Moving Averages(MA) in a Time Series 2 of 2

Chapter 4: Time Series Volatility

Lecture 1: Time Series Volatility 1 of 2

Lecture 2: Time Series Volatility 2 of 2

Chapter 5: Time Series Trading Strategies

Lecture 1: Time Series Trading Strategies: Part 1

Lecture 2: Time Series Trading Strategies: Part 2

Chapter 6: Time Series Forecasting with Machine Learning

Lecture 1: Time Series Forecasting

Lecture 2: Time Series Machine Learning

Instructors

Brian Rouse
Data Scientist / iOS Instructor

Rating Distribution

1 stars: 7 votes
2 stars: 6 votes
3 stars: 9 votes
4 stars: 6 votes
5 stars: 10 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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