Seattle — November 2017
Introduction to Statistics with R
A 2-day hands-on training covering statistical fundamentals, hypothesis testing, and A/B testing using the R programming language — designed to help you go back and solve your real business problems.
Curriculum
Day 1
Introduction to R
- Introducing R
- R data types
- Basic operators
- Reading and writing data
- Plotting in R
Statistics Fundamentals
- Why statistics is important
- Mean, median, mode, variance, standard deviation, boxplots, 5-point summaries, quartiles
- Probability, random variables, distributions, and sampling
Statistical Inference
- Interval estimation
- Critical values and p-values
- Confidence interval for population mean
- Standard error
Day 2
Hypothesis Testing
- Fundamentals and pitfalls
- Large sample significance test for proportions
- Large sample significance test for means
- Small sample significance tests
- Comparing success rates for two populations
- Confidence interval for difference in sample means
- Comparing population means and hypothesis testing
- Paired comparisons
A/B Testing
- Why A/B testing or multi-variate testing is needed
- Understanding concepts of A/B and multi-variate testing
- Statistical fundamentals for A/B testing
- Common pitfalls of A/B testing
- Design robust metrics and KPIs
Lab / Workshop
- Setup a landing page
- Hook up Google Analytics with the landing page
- Setup an A/B test on a landing page
- Seed it with social media advertising budget
- Analyze user behavior using exploration and visualization techniques
- Analyze differences in user behavior between A and B versions
What you receive
Learning Materials
Receive four handbooks authored by our data scientists and engineers and three best-sellers to help you keep learning.
Online Portal Access
Exclusive access to our online learning portal with advanced topics, tutorials, code samples, and reference material.
Expert Mentoring
Our world-class mentoring team will help you work on a specific data science project.
Alumni Network
Stay connected with our alumni spread across the world for collaboration and career opportunities.
“I’ve never learned more from an external training, especially in such a short time. The instructors are excellent – clearly experienced and passionate about data and what it can do for attendees. I would highly recommend the experience to anyone who has or is thinking they may have a question about data and what can be done with it.”
Instructor
Raja Iqbal
Chief Data Scientist & Founder, Data Science Dojo
Raja has worked at Microsoft Bing and Bing Ads in various research and development roles in data science and machine learning. He is the Founder of Data Science Dojo and a global leader in data science and data engineering training.
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