Below you will find the best statistics courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best statistics course for you. Feel free to use the filters below to sift through the entire database on Courseroot.
This nanodegree teaches you the skills necessary to become a job-ready data analyst. You will be learning Python, SQL, and basic statistics to exploit data sets and arive at data-driven solutions. Job vacancies for Data Analysts continue to grow in number. After having completed this program, you will be one of the few that is ready for them.
We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions. NOTE: This course has been divided into two courses: Descriptive and Inferential Statistics. If you are new to statistics, we recommend taking these courses More information
Intro to Descriptive Statistics will teach you the basic concepts of statistics that can be used to extract information from data. Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts use More information
Are you looking to have a solid career in the field of data? This Intro to Statistics course is perfect for you. In this highly engaging and challenging tutorial, students will be introduced to techniques for visualizing relationships in data, along with provocative examples that will keep stimulated throughout. More information
This course is an introductory of Inferential Statistics that helps you enhance your ability to develop hypotheses, make predictions based on statistical results drawn from data and draw conclusions from data that might not be immediately obvious using common tests such as t-tests, ANOVA tests, and regression to validate your claims. More information
This course is designed to give intermediate students a better understanding of data science. There will be skilled and experienced professionals who will tackle topics on data manipulation, data analysis, statistics and machine learning. Be able to sample and apply the basic techniques of data science after completing the entire course. More information
Enroll in this course if you want to learn more about data science. This one-week class or crash course provides a better understanding of how data science play a successful role in organizations. After this course, the student will be well-versed with statistics, machine learning and software engineering.
This introduction to statistics course examines data from the perspective of business scenarios and demonstrates how to apply this data to make better decisions.
The powerful data analysis tool Excel is used by almost all businesses, big and small. This course introduces you to Excel while giving you a working knowledge of it to apply to more advanced Business Statistics topics later. The course focuses on two learner types: Those with little functional knowledge of Excel, and those who use it regularly but superficially and want to push up their skills. Go from the Excel basics of reading data using various formats to organizing and manipulating data, plus more advanced functions. (87) More information
Probability and statistics bring logic to a world filled with randomness and lack of certainty. When you learn probability, you
Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the More information
Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equit
Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis
This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the m
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data exam More information
Become a critical consumer of social statistics. Learn what numbers reveal, when and why they mislead, and how to spot fake news. Increasingly, we
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer sc More information
Gain a solid understanding of statistics and basic probability, using Excel, and build on your data analysis and data science foundation.
The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially h More information