Your cart is empty.
Keep shoppingTime Series Analysis & Forecasting for Python Hackers
2,031 students
Time Series Analysis & Forecasting for Python Hackers
Stock Market Hacking with Pandas
Created byBrian Rouse
Last updated 12/2017
English
What you'll learn
- Time Series Analysis
- Anaconda IDE
- Time Series Forecasting
- Jupyter IDE
- Pandas Library
- Matplotlib
- Data Visualization
- Machine Learning
- Web Scraping
- Stock Market Analysis
Explore related topics
Course content
6 sections • 11 lectures • 1h 48m total length
Requirements
- Download free Anaconda IDE
Description
Time Series Analysis & Forecasting | Stock Market Hacking with Pandas is 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
Who this course is for:
- Anyone who wants to learn Time Series Analysis and Forecasting with an emphasis on S&P 500.