Advanced Python in Excel: Machine Learning

سرفصل های دوره

Demand is increasing for data-driven decision-making and the rapid integration of Python in Excel and ML across business sectors. In this course, Finance Transformation Senior Manager Christian Martinez offers timely training that empowers you to efficiently leverage vast amounts of data for competitive advantage, aligning with current market needs.

01 - Introduction

01 - Introduction

02 - What you should know

02 - 1. Recap of Python, ML, and Data Cleaning

01 - Recap of Python

02 - Recap of machine learning

03 - Data cleaning and preparation

04 - Challenge How would you solve this problem with ML

05 - Solution How would you solve this problem with ML

03 - 2. Applied Machine Learning for Finance and Business

01 - Introduction to machine learning concepts

02 - Building regression models in Excel

03 - Classification models for business data

04 - Challenge Build a regression model

05 - Solution Build a regression model

04 - 3. Practical Applications of Machine Learning in Business and Finance

01 - Predictive analytics for financial forecasting

02 - Automated decision-making processes

03 - Real-time data processing and analysis

04 - Challenge Create a financial forecast

05 - Solution Create a financial forecast

05 - 4. Advanced Analytical Techniques with Python Libraries

01 - Data manipulation with pandas

02 - Numerical analysis with NumPy

03 - Machine learning with scikit-learn

06 - 5. Machine Learning Algorithms for Business and Finance

01 - Linear regression for business insights

02 - Random forests for predictive modelling

03 - Clustering techniques for market segmentation

07 - Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)