In this path, you’ll learn the foundations of statistics such as sampling, working with variables, and understanding frequency distribution tables and the fundamentals of probability and how to use them for analysis. You’ll also learn how to create and test hypotheses with significance testing, and how to make forecasts based on patterns and trends with real-world data.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Cleaning, preparing and analyzing data with R
Creating insightful data visualizations
Using statistics to perform descriptive analytics
Using probabilities to perform predictive analysis
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Projects in this path
8 Skills You Need to Become a Data Analyst
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5 Essential Data Skills For the 21st Century
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R vs Python for Data Analysis — An Objective Comparison
Find out if you need a certification to become a Data Analyst.Read Article
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