Advanced Housing Analytics Using Excel and R

This course is for those wanting to go beyond reporting to develop predictive models and more advanced insight. We will study regression models, forecasting and significance testing. The course will be delivered primarily in Excel, with some parts covered in R Studio. 

Two half-day sessions will cover:

Significance testing: understanding statistical inference, identifying significant difference between categories, e.g., housing areas. 

Regression analysis: correlation, simple linear regression, multiple regression models, logistic regression. 

Forecasting: trends, seasonality.

Who is this course for? The course is aimed at advanced data analysts with experience of delivering robust reports.  It is ideal for those who want to develop the tools to investigate further and build predictive models. 

Entry requirements: The course requires a good understanding of Excel and basic data analysis, as covered in the Housing Analytics Using Excel course. Knowledge of R Studio is not essential, but is helpful. A good understanding of housing measures, such as those in the Sector Scorecard would also be beneficial, but not essential. 

2021 dates

MONDAY 28 AND TUESDAY 29 JUNE - BOOK YOUR PLACE 

MONDAY 18 AND TUESDAY 19 OCTOBER - BOOK YOUR PLACE

Price

£375+VAT each (HouseMark members)

£450+VAT each (Non-members) 

Access the full 2021 Data Training prospectus here. 

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