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Statistics 101

Posted By Cluzter Ops3     September 30, 2020     120 views     1 like    
Cognitive Class is powered by the technology and content provided by the IBM Developer Skills Network. IBM Developer Skills Network is a recognized source of top-quality courses on topics including artificial intelligence (AI), machine learning, data science, big data, analytics, databases, cloud...  more

Overview

Split into five modules, this is a beginner's course covering the fundamentals of statistics. Start with mean, mode, and median. Then learn about standard deviation using examples from basketball. Learn about probability with dice. Learn what it means to group data by categorical variables, and how you can transform your data into appropriate graphs and charts.

In the final module, using an open dataset, learn whether good looking professors indeed get better teaching evalutions.

This course is taught using SPSS Statistics. No prior experience necesssary. 


COURSE SYLLABUS

Module 1 - Welcome to Statistics!



  • Welcome to Statistics

  • Data visualization

  • All about data

  • SPSS Statistics

  • SPSS Statistics in 5 minutes

  • Lab exercises



Module 2 - Basic Statistics



  • Types of data

  • Measures of dispersion

  • Mean, median, mode

  • Statistics by data type

  • Probability

  • Lab exercises



Module 3 - Summarizing data



  • Statistics by groups

  • Visualization of group statistics

  • Pivoting

  • Cross-tabulations

  • Correlation

  • Lab exercises



Module 4- Data Visualization



  • Visualization fundamentals

  • Descriptive and statistical charts

  • Scatterplots

  • Statistical charts

  • Time series charts

  • Lab exercises



Module 5 - Does Beauty Pay?



  • Does Beauty Pay?

  • Weighted means, standard deviations

  • Data wrangling

  • Descriptive Statistics

  • Reproducibility with syntax in SPSS Statistics

  • Lab exercises



GENERAL INFORMATION



  • This course is free.

  • It is self-paced.

  • It can be taken at any time.

  • It can be audited as many times as you wish.



RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE



  • None



REQUIREMENTS



  • None