Master Advanced Excel Data & Analytics Skills

Take your Excel data science skills to an advanced level. As data strategies become more pervasive, Excel will become even more popular for non-data scientists doing more work, more often, with data. This learning path extends the Master Excel for Data Science learning path, into VBA coding, data viz, and advanced interfacing between Excel and R.

Master Excel's powerful VBA coding functions for advanced modeling and analytics.
Build your expertise in Excel's increasingly powerful data mapping functions.
Master the use of Excel with R, the language and data science environment for statistical computing.

Syllabus

Courses under this program:
Course 1: Excel VBA: Managing Files and Data (2020)
-Learn how to automate complex tasks and get more meaningful insights from data in Excel using Visual Basic for Applications (VBA) code.

Course 2: Excel VBA: Process Modeling (2019)
-Learn how to use Excel and VBA for business process modeling. Find out how to create and run simulations for customer flow, queuing, and manufacturing.

Course 3: Excel: Working Together with Power Query and Power Pivot
-Learn how to combine Power Query and Power Pivot, two robust features of Microsoft Excel, to analyze data.

Course 4: Using Python with Excel
-Take your Microsoft Excel skills to the next level using Python, one of the world’s most popular object-oriented programming languages.

Course 5: From Excel to SQL (2021)
-As big data gets bigger, you may need to pull insights directly from SQL. Learn how to apply your knowledge of Excel to gain new skills at capturing data from SQL.

Course 6: Machine Learning with Logistic Regression in Excel, R, and Power BI
-Learn how to perform logistic regression using R and Excel and use Power BI to integrate these methods into a scalable, sharable model.

Course 7: Excel: Economic Analysis and Data Analytics
-Find out how to use big data to perform regression analysis for economic forecasting in Microsoft Excel.