Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Build Your Analytical Skills with Statistical Analysis

via LinkedIn Learning

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Last Updated July 2022.

The business world is driven by data, and statistics are a core skill for many careers, especially data analysis and data analytics. This learning path is a must for those working in data science, business, and business analytics—or anyone else who wants to understand how statistics work in the real world.
  • Master basic statistical concepts, interpretation of charts and graphs, and probability.
  • Practice samples and sampling, confidence intervals, and hypothesis testing.
  • Explore experimental design, analysis of variance, population comparison, and regression analysis.

Syllabus

Courses under this program:
Course 1: Statistics Foundations 1: The Basics
-Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.

Course 2: Statistics Foundations 2: Probability
-Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.

Course 3: Statistics Foundations 3: Using Data Sets
-Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.

Course 4: Statistics Foundations 4: Advanced Topics
-Complete your mastery of statistics with this advanced concepts course on t-distribution, degrees of freedom, regression testing, and ANOVA.

Taught by

Eddie Davila and Eddie Davila

Reviews

Start your review of Build Your Analytical Skills with Statistical Analysis

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.