This course is part of Statistics and Applied Data Analysis Specialization

Instructor: Charlie Nuttelman

What you'll learn

  •   Calculate descriptive statistics (traditional and robust estimators).
  •   Understand probability and apply probability rules.
  •    Utilize statistical functions in Microsoft Excel.
  •    Visualize univariate and bivariate data in Microsoft Excel.
  • Skills you'll gain

  •   Statistical Visualization
  •   Data Cleansing
  •   Descriptive Statistics
  •   Box Plots
  •   Microsoft Excel
  •   Probability & Statistics
  •   Probability
  •   Probability Distribution
  •   Scatter Plots
  •   Statistics
  •   Histogram
  •   Excel Formulas
  •   Data Analysis
  •   Data Transformation
  • There are 5 modules in this course

    Designed for students with no prior statistics knowledge, this course will provide a foundation for further study in data science, data analytics, or machine learning. Topics include descriptive statistics, probability, and discrete and continuous probability distributions. Assignments are conducted in Microsoft Excel (Windows or Mac versions). Designed to be taken with the follow-up courses, “Statistics and Data Analysis with Excel, Part 2" and "Statistics and Data Analysis with R". All three courses make up the specialization "Statistics and Applied Data Analysis."

    Descriptive Statistics and Graphical Representation of Data

    Probability

    Discrete Probability Distributions

    Continuous Probability Distributions

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