JPMC Machine Learning Essentials

Machine learning has become a very popular topic in recent years, but despite technology advances, many companies have a hard time putting it to work. This course will help you to learn various elements that can best be used by companies today.

In this course, you will be able to learn:

• Understand the broad classifications of data: quantitative vs qualitative.
• Understand the core statistics that underpin all data analysis.
• Understand inferential and differential statistics and how they apply to data analysis.
• Apply univariate and multivariate analysis to financial data sets.
• Demonstrate the ability to profile data (inspecting rows of data, and reading data sets).
• Detect and remediate missing, miscoded and anomalous data.
• Understand regression analysis.
• Understand how numerical python and panel data can be used in big data analytics.
• Introduce the basics of the Pandas Series object and DataFrame.
• Develop simple summaries and exploratory graphs that optimize data visualization at various stages of data analysis.
• Explain how the fundamental variation of graphs and corresponding quantitative relationships can be paired with optimal visual components and techniques.
• Introduce a brief capstone project that utilizes several data analysis techniques.