Data Science Training – Introduction to Statistics with R

SEATTLE | November 2017

What You’ll Learn

  • Introduction to R Programming

    • Introducing R
    • R data types
    • Basic opertors
    • Reading writing data
    • Plotting in R
  • Fundamentals of Statistics with R

    • Why statistics is important?
    • Mean, median, mode, varience, standard deviation, boxplots, 5-point summaries, quartiles
    • Probability. Random Variables. Distributions. Sampling
  • Confidence Interval

    • Interval Estimation
    • Critical values and p-values
    • Confidence interval for population mean
    • Standard Error
  • Hypothesis Testing and Comparing Population Means

    • 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
  • Introduction to Online Experimentation and A/B Testing

    • Why A/B testing or multi-variate testing is needed?
    • Looking at some interesting A/B tests
    • Understanding concepts of A/B and multi-variate testing
    • Statistical fundamentals for A/B testing
    • Some common pitfalls of A/B testing
    • Design robust metrics and KPIs
  • Project: Setting up an online experiment

    • Setup a landing page
    • Hook up Google analytics with the landing page
    • Setup an A/B test on a landing page (could be as simple as two different colors of buttons on the page)
    • Seed it with some social media advertising budget
    • Analyze user behavior using the exploration and visualization techniques we learned on day 1
    • Analyze any differences in user behavior between A and B version

Exclusive Alumni Resources

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Course Material

Receive four handbooks authored by our data scientists and engineers and three best-sellers to help you keep learning.

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Online Portal

Exclusive access to our online learning portal that contains advanced topics, tutorials, code samples, and reference material

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Mentoring

Our world-class mentoring team will help you work on a specific design project.

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Networking

Stay connected with our alumni spread across the world for collaboration and career opportunities!

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Anthony Hepp

“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.”

Tony Hepp
UX Interaction Designer at Pearson
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Our Customers

Instructor

Raja Iqbal

Chief Data Scientist

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.

Pricing

  • DOJO
  • $149999USD

  • Includes
  • 2-day, hands-on, in-person training
  • Learning Material
  • Sample Code
  • Breakfast, lunch, and unlimited refreshments
  • Networking Dinner
  • 6-month access to learning portal
  • Software subscriptions during the bootcamp
  • Reference books
  • Office hours
  • Mentoring for a project
  • GURU
  • $199999USD

  • Includes
  • 2-day, hands-on, in-person training
  • Learning Material
  • Sample Code
  • Breakfast, lunch, and unlimited refreshments
  • Networking Dinner
  • 1-year access to learning portal
  • Software subscriptions during the bootcamp
  • Reference books
  • Office hours
  • Mentoring for a project

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