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Introduction to Data Analytics (techniques you can apply today)


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In this Introduction to Data Analytics (techniques you can apply today) course at Simpliv we use a real data-set to practice what is taught in each of the lecture videos. By using real data you will get "hands on" practice so that you are able to apply what you have learnt to your work or life needs.


The Introduction to Data Analytics (techniques you can apply today) course from Simpliv begins by introducing you to some basic theory about data and variables. You will then be introduced to some Excel tips and tricks (if you want) and the data-set that will be used. The data is a sample of over 500 survey responses that includes information about income, employment, education, gender, race, age and industry.

What will you learn

  • Apply the right techniques for the type of data
  • Compare data by using averages, medians and modes
  • Further analyse data by its shape using histograms and other data visualizations
  • Measure and describe the spread of data around the average

Programme Structure

Courses include:

  • Beginner: Introduction to data and variables 
  • Beginner / Intermediate: Some Microsoft Excel tips and tricks to help you 
  • Beginner: Basic techniques for describing date 
  • Beginner / Intermediate: Measuring the spread of data 
  • Beginner / Intermediate: Measuring accuracy and confidence 
  • Intermediate: T-tests and Hypothesis testing (combining it all) 
  • Conclusion: Final Analysis 

Key information

Start dates & application deadlines

You can apply for and start this programme anytime.





Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • High school mathematics and some basic statistics
  • Some experience with Microsoft Excel

Tuition Fee


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Introduction to Data Analytics (techniques you can apply today)


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