Introduction to Statistics (ACE) (available with ALEKS 360) This course covers the topics shown below. STAT 101 is an introductory course in statistics intended for students in a wide variety of areas of study. This hands-on introduction to statistics for data science gives you the tools required to make sense of data and draw *valid* conclusions. This basic statistics course will strengthen your thinking and reasoning skills, and allow you to apply these skills in various situations. Learn More: 48: Statistical Learning (Self-Paced) 4.5/5: Free: This is an introductory-level course in supervised learning, with a focus on regression and classification methods. It relies on the innovative text “Introductory Statistics and Analytics: A Resampling Perspective” and intentionally references the growing field of Data Science. This course will begin with a brief overview of the discipline of statistics and will then quickly focus on descriptive statistics, introducing graphical methods of describing data. Search for: Learning Outcomes. In Sophia's Introduction to Statistics Course, you will complete a series of assessments comprised of 18 Challenge assessments and 6 Milestone assessments tied to the following learning outcomes: Understand and identify key principles of statistical reasoning and statistical … Introduction to Statistics Improve your understanding of data and learn how to develop graphs and charts. Inferential statistics can be used to generalize … Read reviews to decide if a class is right for you. Module 1: Sampling and Data. Get an introduction to statistical and critical thinking, including descriptive statistics, probability, sampling distributions, interval … This work is in the public domain. With real-world applications and easy-to-understand examples drawn from business, health care, sports, education, and politics, this course provides the skills and knowledge you need to … MAT135 – Intro to Statistics: MA1 Credits: 3. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. Learn basic concepts of probability and statistical inference, focusing on an intuitive approach to understanding concepts and methodologies.

Browse the latest online statistics courses from Harvard University, including "Causal Diagrams: Draw Your Assumptions Before Your Conclusions" and "Principles, Statistical and Computational Tools for Reproducible Data Science." This work is in the public domain. Apply various … The focus of this course is on statistical thinking. Introduction to Statistics 4.4 (381 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. Recognize and differentiate between key terms. You will learn how to think in terms of distributions---not single point estimates. Numerical descriptive measures computed from data are called statistics. Course Contents About This Course; Course Contents at a Glance; Learning Outcomes; Faculty Resources OHM Assessments; I Need Help; Module 1: Sampling and Data Introduction to Sampling and Data; Definitions of Statistics, Probability, and Key Terms; Sampling and Data; Frequency, Frequency Tables, and Levels of Measurement Choose from hundreds of free Probability and Statistics courses or pay to earn a Course or Specialization Certificate.

Study free online Statistics courses and MOOCs from top universities and colleges.

This course is designed to teach sometimes tricky statistical concepts in an easy-to-understand business and real-world context. If you're seeing this message, it means we're having trouble loading external resources on our website. Students navigate learning paths based on their level of readiness. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Credits: 3 Explores and applies data presentation and summarization, introduction to probability concepts and distributions, statistical inference --estimation, hypothesis testing, comparison of populations, correlation and regression.~~This course is one of the Statewide Guaranteed Transfer courses.



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