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Importing and Managing Financial Data in Python

Learners: 32,000

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Learn how to import and manage financial data in Python with this comprehensive course! Get hands-on experience with pandas DataReader, data grouping, summarising, and visualising. Explore metrics, categorise data, compare company statistics, analyse global income distribution, and create statistical charts. Take your financial data analysis skills to the next level!▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Free Trial

Provider:

Datacamp

Certificate:

No Information

Language:

English

Start Date:

Course Overview

❗The content presented here is sourced directly from Datacamp platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [June 30th, 2023]

(Please note this course detail is from the official platform)
Import, clean, and combine data from Excel workbook sheets into a pandas DataFrame.
You'll also practise data grouping, summarising information for categories, and visualising the results with subplots and heatmaps.
through the 'pandas' 'DataReader,' introduces online data access to Google Finance and the Federal Reserve Data Service. You will collect data, perform basic manipulations on it, combine data series, and visualise the results.
Learn how to use simple metrics to capture key characteristics of individual variables.
introduces the ability to categorise data using one or more categorical variables, as well as calculate and visualise summary statistics for each category.
Learn how to compare company statistics for various sectors and IPO vintages, analyse global income distribution over time, and create various statistical charts from the seaborn library.