Python in Excel for Financial Professionals
Focused View
Christian Martinez
48:59
28 View
01 - Welcome to Python in Excel.mp4
00:55
02 - What you should know.mp4
00:44
03 - Introduction to Python in Excel.mp4
01:25
01 - Integration of Python in Excel.mp4
02:22
02 - Installation.mp4
02:09
03 - Introduction to basic Python functions.mp4
03:18
04 - How to use your data with Python in Excel.mp4
02:38
05 - Challenge Load three financial statements.mp4
01:17
06 - Solution Load three financial statements.mp4
01:04
01 - Discounted cash flow, part 1.mp4
01:42
02 - Discounted cash flow, part 2.mp4
02:54
03 - Forecasting.mp4
04:22
04 - Budgeting.mp4
02:38
05 - Other financial models.mp4
02:29
06 - Challenge Forecast sales for Company ABC.mp4
01:06
07 - Solution Forecast sales for Company ABC.mp4
01:06
01 - Automate consolidation of data.mp4
03:10
02 - Automate cleaning data.mp4
02:02
03 - Challenge Automation.mp4
00:38
04 - Solution Automation.mp4
01:17
01 - Basic charts and graphs for finance.mp4
03:06
02 - Advanced charts and graphs for finance.mp4
02:46
03 - Challenge Create five graphs.mp4
00:58
04 - Solution Create five graphs.mp4
01:22
01 - Next steps.mp4
01:31
Description
Now that Microsoft announced the integration of Python within Excel, finance professionals need to learn how to leverage this integration for data analytics, automation, and ways to improve their work. In this course, finance analytics manager Christian Martinez guides you through ways to use data analytics to enhance your analytical and modeling abilities.
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Christian Martinez
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Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 25
- duration 48:59
- English subtitles has
- Release Date 2024/08/01