Statistics For Data Science Course
Open up the power inside data with our Statistics for Data Science Training, made special for people working with Business Intelligence. Go deep into descriptive statistics so you can understand how to measure the middle and spread of data. Learn about different kinds of data, find things that look strange, and deal with data that's missing without any problem. Build models that can predict what will happen using linear regression, and make better decisions by testing ideas and looking at how things are related. Get clear ideas that you can use and tell other people about what you found in a simple and good way, all through lessons that are made to help you do well.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open up the power inside data with our Statistics for Data Science Training, made special for people working with Business Intelligence. Go deep into descriptive statistics so you can understand how to measure the middle and spread of data. Learn about different kinds of data, find things that look strange, and deal with data that's missing without any problem. Build models that can predict what will happen using linear regression, and make better decisions by testing ideas and looking at how things are related. Get clear ideas that you can use and tell other people about what you found in a simple and good way, all through lessons that are made to help you do well.
Elevify advantages
Develop skills
- Know Descriptive Statistics Well: Look at data using the middle and spread of the data.
- Learn Data Ways: Find things that are not normal and take care of data that is missing properly.
- Build Models That Can Predict: Make and check linear regression models to get good ideas.
- Do Hypothesis Testing: Create and understand what statistical tests mean.
- Look at How Things Are Related: Understand and use correlation coefficients in data.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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