1 / 15

Unlocking Data Analytics: Choosing the Right Tool for Statistical Analysis

Join Dr. Kathleen Maitland, Director of the SAS Student Academy, in this interactive workshop designed for students and professionals looking to enhance their data analysis skills. Discover the types of statistical analyses you may perform, the tools currently available, and how to select the best tool for your needs. Get hands-on demonstrations of powerful data analytics tools, including SAS JMP for smaller datasets and SAS University Edition for big data analysis. Learn about regression, correlation, hypothesis testing, and more. Suitable for beginners to advanced users.

zareh
Télécharger la présentation

Unlocking Data Analytics: Choosing the Right Tool for Statistical Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Analytics – Using the right tool for the job Dr. Kathleen Maitland kathleen.maitland@bcu.ac.uk Director SAS Student Academy

  2. This workshop • Discover what statistical analysis do you perform? • Discover what tools do you use? • Discuss what is the right tool for the job • Demo of data analytics tools • - SAS JMP (small data sets up to 1TB locally stored data) • - SAS University Edition (Big Data) • Questions

  3. What statistical analysis do you perform? • Descriptive analysis • Hypothesis testing • Regression • Correlation • Forecasting

  4. Barriers to learning • What is important? • The results of the data analytics • Learning a software tool

  5. Software – Robert Stine comment • • Must do statistics to learn statistics • • Modern computing provides • • New ways to look at old things, like regression • • New approaches to data analysis • http://www-stat.wharton.upenn.edu/~stine/

  6. Discover what tools do you use? • Microsoft Excel • SPSS • Minitab • SAS • R • other

  7. what is the right tool for the job? • There is no right answer but you should consider: • Data format • Size of data set • Type of analysis that you expect to perform.

  8. Data Type Numeric/Character Nominal Ordinance Continuous

  9. Size of Data Small – data lines to 1 TB Big Data greater than 1 TB

  10. Type of Analysis • Descriptive • Histograms, • Pie charts • Moziacs, Etc • Analysis/Analytics • Summary Statistics • Regression • Correlation • Anova, etc

  11. SAS Software Demo SAS JMP – Data Analytics with data stored locally on PC or Mac More details: http://www.jmp.com/academic/academic-resources.shtml SAS University Edition – Data Analytics with any side dataset http://www.sas.com/en_us/software/university-edition.html SAS On Demand Academic http://support.sas.com/ondemand/index.html SAS Curriculum Pathways http://www.sascurriculumpathways.com/portal/

  12. What is the SAS Student Academy? • The Student Academy has been designed to achieve the following objectives: • Reduce the skill shortage of SAS programmers/specialists • Produce graduates with SAS knowledge • Improve student employability (our customers are always looking for SAS skilled Graduates) • Increase awareness of SAS • Create national/ global special interest group in applied analytics

  13. SAS & Academia • SAS has always had a very strong connection with Academia since it was created at North Carolina State University by Dr Jim Goodnight. • SAS has dedicated millions of Pounds worth of software and support for Academic institutions around the world. • In the UK alone we have agreements in place with over 70 Universities Teaching SAS or using SAS for Research.

  14. Any Questions?

More Related