Introduction to Statistics Course (Stanford) | Coursera
Stanford's 'Introduction to Statistics' on Coursera covers statistical thinking, exploratory data analysis, sampling, significance tests, and more. Gain foundational skills for advanced statistical topics and machine learning. Topics: Descriptive Stats, Probability, Regression, and more.
Basic Statistics Course (University of Amsterdam) | Coursera
Learn the basics of statistics to understand social and behavioral research. This University of Amsterdam course covers descriptive statistics, probability, and inferential statistics, including confidence intervals and significance tests, using statistical software.
Statistics and Data Analysis with Excel, Part 1 | Coursera
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.
The Power of Statistics - Coursera
In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing.
Top Statistics Courses for Beginners [2024] | Coursera
Learn Basic Statistics Skills. Learn the fundamentals of statistics, including probability, data analysis, and interpretation.
Statistical Analysis Fundamentals using Excel | Coursera
Describe the fundamental concepts of statistics and apply them to business and data analytics settings. Apply data collection, analysis, and interpretation techniques to derive actionable insights for making informed business decisions.
Descriptive vs. Inferential Statistics: What’s the Difference?
2024年11月7日 · Descriptive statistics present facts from a data set, while inferential statistics make broad predictions based on a sample data set. Discover the measures of each statistical method, how they differ, and how to pick the right one for your analysis.
Statistics for Data Science Essentials - Coursera
In the first week of the course, we’ll introduce you to a broad definition of data science and go over some of its main building blocks. To prepare, we'll spend some time reviewing discrete math fundamentals. By the end of the week, we will solve our first …
Statistics for Data Science with Python Course (IBM) | Coursera
Calculate descriptive statistics and visualization by writing Python code. Create a final project that demonstrates your understanding of various statistical test using Python and evaluate your peer's projects.
Statistics for Data Science Courses Online
Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory.