Develop essential data science & ai skills with expert instruction and practical examples.
In this course we use a real data-set to practice what is taught in each of the lecture videos. By the end of this course you will be able to explain why some females earn less than males and be able to identify (and measure) where gender wage discrimination is taking place and where not. The techniques taught in this course are all executable in Microsoft Excel and will help you improve your current analysis skills.
The topics cover:Using averages and meansUsing counts and mediansData visualizations (graphs and plots)Correlations and scatter-plotsHistograms to describe the shape of dataHow to easily understand and use variance and standard deviationHow to construct and use "confidence intervals"Hypothesis testing Using t-tests to prove or disprove an assumptionFor all of the above we replicate the technique in Excel and practice drawing insights about what we are seeing. The course 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. We then dive into the different techniques until we can statistically prove, with a high level of confidence, where wage discrimination is taking place (or not). I hope you find this course rewarding, interesting and challenging.
Kind regards,Jef Jacobs.
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