Big Data analyses rely heavily on statistical methods. In the Big Data eCourse, the most common and widely used analytical techniques are explained. The eCourse goes beyond the content of the accompanying book Succes met Big Data. In addition to the book, students receive videos and PDFs that demonstrate statistical methods using Real Statistics, including:
Cluster analysis
Nearest neighbour
Regression analysis
These analyses can be performed with SPSS, R, or other statistical software packages. SPSS is a strong option but too expensive. R and similar packages would require an additional coding chapter in the eCourse, a bit too much for this Big Data eCourse. While searching for alternatives, Real Statistics emerged as the best choice. It offers an accessible, Excel‑based statistical tool.
Most people who have Word also have Excel, since both are usually included in the standard Office package that comes with many laptops and computers. Real Statistics is a free Excel add‑on, which means participants do not incur any extra costs. This allows the eCourse to stay fully focused on Big Data while remaining accessible to beginners. The eCourse includes several videos that cover basic Excel skills for anyone who needs a refresher or is new to Excel. All the Excel knowledge required for the Big Data analyses can be learned directly within the eCourse.
The Big Data eCourse includes a video that shows participants how to install Real Statistics. Every statistical method covered in the course is supported by both videos and PDFs, ensuring that learners can follow each step at their own pace. Just like with Excel, the eCourse also provides clear explanations of basic statistical concepts through additional videos and PDFs. This means participants do not need any prior knowledge of statistics, and those who want to refresh their foundational understanding of statistics can easily do so within the course.
After finishing the Big Data eCourse, participants can continue using Real Statistics without any limitations. The Real Statistics website offers explanations for many more statistical techniques than those covered in the eCourse. However, the website focuses solely on how each method works. It does not explain when a particular statistical method should be used. Keep this in mind when applying Real Statistics in future projects.