Python for Business Analysis and Excel free download
This course uses real world business cases to demonstrate practical applications of Python . By the end of the course you will have a portfolio of business analysis examples that will prove your mastery over Python . This includes: Clean and structure data in Python . Analyze data from Excel and CSV files into Python . Develop customer segmentation analysis . Develop a marketing promotion and analyze the return on investment . Use Python to build compelling business analysis models using real world examples . Use the language of Python for business analysis and Excel to build your own portfolio of analysis examples. Use Python for Business Analysis to build a portfolio that will show your mastery of Python’s business analysis tools.
What you’ll discover in Python for Organization Evaluation and Excel
- Python principles
- Import information from Excel and CSV files right into Python
- Clean as well as framework information in Python
- Analyze information in Python
- Export completed data analysis back to Excel
- Debug code
- Construct compelling organization evaluation designs using real life instances
- Create customer segmentation analysis
- Conduct thorough process as well as bottleneck analysis
- Evaluate seasonality and also demand fluctuations
- Structure a marketing promo and examine the return on investment
Description
In this training course we’ll utilize Python to:
This training course makes use of real life company cases to demonstrate useful applications of Python. By the end of the program you will have a portfolio of business analysis instances that will certainly confirm your mastery over Python. This consists of:
Who this course is for:
- Business professionals that want to supercharge their data analysis skills with Python
- Anyone that has been introduced to Python and wants real world, practical examples
File Name : | Python for Business Analysis and Excel free download |
Content Source: | udemy |
Genre / Category: | Development |
File Size : | 1.23 gb |
Publisher : | Todd Hanford |
Updated and Published: | 07 Jul,2022 |