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What's New at CFI | Data Analysis in Python
Manage episode 505366968 series 3571364
Ready to take your data analysis skills to the next level? In this episode of What's New at CFI, we chat with subject matter expert Joseph Yeates about his newest course, Data Analysis in Python. This course is the perfect follow-up to our "Getting Started with Python" series and is designed for anyone, especially Excel users and BI professionals, looking to apply Python to real-world datasets.
Joseph explains why Python is an essential skill for finance professionals today, covering its ability to handle large datasets and its new native integration with Excel.
This episode covers
- The Data Analysis Workflow: An overview of the entire process, from importing and cleaning data to analyzing and visualizing results.
- Bridging Excel and Python: How this course uses familiar tabular data structures to help you transition from spreadsheets to programming.
- Real-World Application: A personal story about using Python to build a predictive model for retail deposits, highlighting how powerful even small scripts can be.
- Overcoming the Intimidation: The encouraging message that you don't need a computer science background to master Python.
If you're ready to go beyond the basics and start doing real data analysis with Python, this is your next step.
157 episodes
Manage episode 505366968 series 3571364
Ready to take your data analysis skills to the next level? In this episode of What's New at CFI, we chat with subject matter expert Joseph Yeates about his newest course, Data Analysis in Python. This course is the perfect follow-up to our "Getting Started with Python" series and is designed for anyone, especially Excel users and BI professionals, looking to apply Python to real-world datasets.
Joseph explains why Python is an essential skill for finance professionals today, covering its ability to handle large datasets and its new native integration with Excel.
This episode covers
- The Data Analysis Workflow: An overview of the entire process, from importing and cleaning data to analyzing and visualizing results.
- Bridging Excel and Python: How this course uses familiar tabular data structures to help you transition from spreadsheets to programming.
- Real-World Application: A personal story about using Python to build a predictive model for retail deposits, highlighting how powerful even small scripts can be.
- Overcoming the Intimidation: The encouraging message that you don't need a computer science background to master Python.
If you're ready to go beyond the basics and start doing real data analysis with Python, this is your next step.
157 episodes
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