Statistics for Data Analytics

In this course we will discuss statistics as they relate to data analysis including basic statistics and statistical inference. We’ll use Microsoft Excel as a simple tool to find specific stats and discuss the interpretation of those statistics. In statistical inference we will talk about the process by which we draw conclusions about a particular data set following these conclusions to actionable tasks for your business. We’ll move to more advanced statistics to give you a deeper understanding of the power of analysis. The class is filled with hands-on exercises to give you practice in the concepts that are discussed. 

Course Outline:

  • Introduction to Statistics
  • Define objectives for data analytics
  • Descriptive statistics (mean, median, mode, range, variance, standard deviation)
  • Basics of probability
  • Distributions
  • Definition of Statistical Inference
  • Benefits and usage
  • Estimation
  • Hypothesis testing

Unique Value of Course:


Who Should Attend:

  • Chief Analytics Officer
  • Chief Data Officer
  • Senior Managers in Operations and IT
  • Business Process Managers
  • Business Process Analysts
  • Business Analysts
  • Business Architects
  • Project managers
  • Data Analyst
  • Data Scientist
  • Data Specialist
  • Data Stewards
  • Information Architects

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Course Availability

See below for other opportunities to take this course:


BrainStorm DC - 09/24/2019 - 09:00
BrainStorm New York - 11/19/2019 - 09:00

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