Course Summary
This course provides an introduction to statistics, covering topics such as probability, hypothesis testing, and regression analysis. Students will learn how to apply statistical methods to real-world problems, and will gain experience working with data using tools such as Excel and Python.Key Learning Points
- Learn to apply statistical methods to real-world problems
- Gain experience working with data using tools such as Excel and Python
- Understand probability, hypothesis testing, and regression analysis
Job Positions & Salaries of people who have taken this course might have
- USA: $61,000 - $120,000
- India: ₹300,000 - ₹1,500,000
- Spain: €22,000 - €50,000
- USA: $61,000 - $120,000
- India: ₹300,000 - ₹1,500,000
- Spain: €22,000 - €50,000
- USA: $39,000 - $89,000
- India: ₹206,000 - ₹1,000,000
- Spain: €14,000 - €35,000
- USA: $61,000 - $120,000
- India: ₹300,000 - ₹1,500,000
- Spain: €22,000 - €50,000
- USA: $39,000 - $89,000
- India: ₹206,000 - ₹1,000,000
- Spain: €14,000 - €35,000
- USA: $52,000 - $117,000
- India: ₹305,000 - ₹1,400,000
- Spain: €19,000 - €50,000
Related Topics for further study
Learning Outcomes
- Understand statistical concepts and methods
- Be able to apply statistical methods to real-world problems
- Gain experience working with data using tools such as Excel and Python
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of algebra
- Familiarity with Excel and Python (recommended)
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
Similar Courses
- Data Analysis with Python
- Intro to Data Science
- Applied Statistics
Related Education Paths
Notable People in This Field
- Statistician, Founder of FiveThirtyEight
- Statistician, Founder of Gapminder
Related Books
Description
We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.Requirements
- It sounds strange to say, but math is not the focus of this class. To do well, however, it is necessary to have a basic understanding of proportions (fractions, decimals, and percentages), negative numbers, basic algebra (solving equations), and exponents and square roots. See the Technology Requirements for using Udacity.
Knowledge
- Instructor videosLearn by doing exercisesTaught by industry professionals
Outline
- lesson 1 Introduction to Statistics and Methods Intro to statistical research methods Frequency Distributions & Visualizing data lesson 2 Describing Data Central Tendency Variability lesson 3 Normal Distribution Analysis Standardized Scores (z-scores) Probability and the Normal Distribution Sampling Distributions lesson 4 Foundations of Inferential Statistics Estimation Hypothesis Testing lesson 5 Comparing Means t-tests One-way ANOVA lesson 6 Correlation, Regression, and Non-Parametrics Correlation Regression Chi-Squared Tests
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