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Overview
Context
In Financial Forecasting in Python, you will learn the basics of income statements and balance sheets, and cleaning messy financial data.
During this Financial Forecasting in Python course offered by Data Camp, you will examine real-life datasets from Netflix, Tesla, and Ford, using the pandas package.
Following the course, you will be able to calculate financial metrics, work with assumptions and variances, and build your own forecast in Python!
Programme Structure
Chapters
- Income statements
- Balance sheet and forecast ratios
- Formatting raw data, managing dates and financial periods
- Assumptions and variances in forecasts
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Financial Technology View 64 other Short Courses in Financial Technology in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Introduction to Python
- Intermediate Python
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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