10 of 10

SN Video coding and web development. Data analytics of stock price movements with Python / Springer

View streaming video from Academic Video Online. 2 available

Items

true

Online

ONLINE

true

Online

ONLINE

Material Type
Streaming Videos
Publication Info.
London, England : Springer Nature, 2020.

Details

Description
1 online resource (86 minutes)
Playing Time
012535
Description
two-dimensional moving image tdi rdacontent
computer c rdamedia
video v rdamedia
online resource cr rdacarrier
video file rda
Series
Academic video online.
Note
Title from resource description page (viewed March 4, 2021).
Summary
This brief course will introduce you to data APIs and third-party Python libraries. It provides hands-on examples on procuring, cleaning, and analyzing data, allowing you to learn how Python can be leveraged to enhance your statistical analysis. You will make use of NumPy, pandas, and Matplotlib for visualizations and also go through forecasting techniques used in technical analysis. After gaining insights on data transformation, you will learn to estimate derivative values using Monte Carlo simulation. Transforming data into information will give you ideas that can be used to take short-term investment decisions. In conclusion, you will use statistical and technical techniques for analyzing security price movement. Create financial application programming interfaces Use NumPy, pandas, and Matplotlib for data analysis and visualizationApply forecasting techniques to predict derivative values Extract and transform data in Python.
Language
In English.
Subject
Python (Computer program language)
Application program interfaces (Computer software)
Stock price forecasting.
Information visualization.
Visual analytics.
Genre/Form
Instructional films.
Streaming videos.
Added Author
Macarty, Matthew, speaker.
Springer Nature (Firm), publisher.
Added Title
Data analytics of stock price movements with Python
Springer Nature video coding and web development
Other Form:
Original version: 9781484256473
ISBN
9781484256473
Standard No.
ASP5107683/marc