SPSS Essentials

Course details

The amount of data collected in recent years has risen exponentially, and this has created the collection of datasets on customer interactions, sales, logistics, and production processes. Large retailer companies handle up to ten million transactions and five thousand items per second. This also enabled companies to introduce analysis of this data and achieve reduction in their lead times, reduce overheads, optimize workflows and increase customer satisfaction, while at the same time increasing their profits. There are many software packages for Big Data mining and Big Data Analytics, however many of these tools are mainly programming languages, and although free, they require a knowledge of computer programming.

As the data rises, the number of people who can perform the Data Mining and Big Data analytics should also rise, to handle the tide, and by using one of easiest to handle, big data analytics software is SPSS.

This training course will feature:

•  
• Use of SPSS software packages
• Data mining and visualization with SPSS
• Data analytics of Big Data with the use of SPSS packages
• Advanced uses of SPSS and its interoperability with other software
• Using the Big Data analytics for the benefits of the companies

 
What are the Goals?

By the end of this training course, participants will be able to:

• Understand the power of Big Data and Big Data Analytics
• Harness the benefits of graphical interface of SPSS for Big Data Analytics
• Learn the concepts of data analysis and visualization
• Apply the drag and drop functionality for data visualization
• Acquire the knowledge of advanced analysis of big data, like sentiment analysis in SPSS

Updated on 01 October, 2018