Join GALVANIZE'S DATA SCIENCE IMMERSIVE INSTRUCTOR Frank
[https://www.linkedin.com/in/frankburkholder/]Burkholder, Ph.D.
[https://www.linkedin.com/in/frankburkholder/] for two nights of
statistics to brush up on your skills! MAIN TOPICS: DAY 1 (1/27) -
6pm-9pm): Probability, Probability distributions, Bayesian and
frequentist paradigms
DAY 2 (1/29) - 6pm-9pm): Random variables, Statistical inference,
Regression, Classification, Evaluation metrics
We will begin the first day with a gentle introduction to probability
and the major distributions used in statistics. We will finish with a
concept-driven explanation of frequentist and Bayesian statistics.
On the second day, we will dive a bit further into how to make use of
probability distributions for inference and hypothesis testing. We
will then introduce regression and classification through the use of
examples. Finally, we will discuss some of the commonly used methods
of evaluating model results.
We will use Python to illustrate the concepts, but no working
knowledge of Python or any other language is required.
Interested in the Galvanize's Data Science Immersive
[https://www.galvanize.com/data-science]? As part of the admissions
process for the Data SCIENCE IMMERSIVE - there are two interviews:
Python and STATISTICS. These materials survey the areas of probability
and STATISTICS THAT WILL BE COVERED IN THE STATISTICS INTERVIEW. In
addition to the overview, there are resources for further study that
are meant to reinforce the most important topics. You can submit your
application here
[https://www.galvanize.com/data-science/application].
PLEASE BRING YOUR OWN LAPTOP TO THIS COURSE.
Reach out to travis@galvanize.com with any questions or book a time
here [https://travisgalvanize.youcanbook.me/].
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30/01/2020 Last update