This class is live online (i.e. synchronous).
Applications for this class have closed.
In today's world, data is everywhere; but it's only useful once you know how to analyze and understand it. Before you can tackle and understand data science concepts like machine learning, you need to have an understanding of several statistical concepts. Statistics for Data Science gives you a hands-on introduction to the concepts you’ll need to be successful in learning data science. This course is helpful for preparing students who have a limited background in statistics for our Data Science Bootcamp, but is open to all who are interested in hands-on learning of descriptive and inferential statistics for the field of data science.
This course is for you if...
What will the course cover?
Exploratory Data AnalysisLearn about the different types of variables and how to analyze them through visualizations and numerical summaries.
ProbabilityUnderstand the basic concepts of probability theory, conditional probability, and Bayes’ Theorem along with the most common types of probability distributions used in data science.
EstimationLearn the science of point and confidence interval estimation, sampling distributions, and standard error.
Statistical Experiments / Significance TestingLearn to test for statistical significance using both classical hypothesis testing and bootstrapping and permutation tests.
Least Squares RegressionLearn the standard approach to regression analysis to find the best-fit line for your data.
Logistics RegressionUnderstand how to build and evaluate models to predict the probability of a categorical outcome.
How will you learn the material?
What is required?
- Personal Laptop (No Chromebooks please. You will need at least 5GB of free hard drive space.)
- Must be 18+ years of age
- While prior exposure to descriptive statistics would be helpful, it is not required.
- This class is not required for admission to our Data Science Bootcamp, but may be suggested if you do not have recent experience or education in descriptive statistics.
ScheduleTuesday, Thursday T/Th: 6PM - 9PM CT
LocationThis class is live online (i.e. synchronous).
DatesJuly 5, 2022 - August 18, 2022
$500 credit toward the NSS Data Science Bootcamp.
Our policy regarding absences is based on the short duration of the course and the schedule of the material covered. Because we want to make sure you are getting the most out of this course possible, we recommend you miss no more than one class session.
Our instructors would be happy to work with you and point you at resources to help fill in what you missed.
If you expect to miss multiple class sessions and are taking the class because you intend to apply for our Data Science Bootcamp, please contact us at firstname.lastname@example.org to discuss your situation.