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The best Statistics courses and tutorials on the internet

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Springboard
Intermediate
6 months
Excellent
This amazing data science bootcamp was designed for people with prior experience in statistics and programming, such as software developers, analysts, and finance professionals, that want to guarantee themselves a spot in the data science field.


4.79
·
1200 reviews
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
This course on statistics and probability provided by Khan Academy will be diving into the subchapters of analyzing categorical data, displaying and comparing quantitative data, summarizing quantitative data, modeling data distributions, exploring bi..
25.5h
365 Careers
Udemy
All levels
25.5h
Self-paced
Okay
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning


4.5
·
14999 reviews
15-35h
Udacity
Intermediate
15-35h
Self-paced
No certificate
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 ..
15-35h
Udacity
Beginner
15-35h
Self-paced
No certificate
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 ..
15-35h
Udacity
Beginner
15-35h
Self-paced
No certificate
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. Descriptiv..
15-35h
Udacity
Beginner
15-35h
Self-paced
No certificate
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 usi..
26-40h
Johns Hopkins University
Coursera
All levels
26-40h
Starts Apr 27
Good
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 w..


4.5
·
4679 reviews
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
A course created by Sal Khan, which will be diving into scatterplots, data distributions, two-way tables, study design, probability, binomial probability, normal distributions..
15-35h

Statistics

Free
San Jose State University
Udacity
Beginner
15-35h
Self-paced
No certificate
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..
5h
365 Careers
Udemy
All levels
5h
Self-paced
Okay
Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis


4.5
·
5723 reviews
26-40h
Duke University
Coursera
Beginner
26-40h
Starts Apr 27
Good
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of explorato..


4.7
·
2906 reviews
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
AP-style statistics course created by Sal Khan from Khan Academy, which will be diving into analyzing categorical data, displaying and describing quantitative data, summarizing quantitative data, modeling data distributions, exploring bivariate numer..
26-40h
Rice University
Coursera
All levels
26-40h
Starts Apr 27
Good
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 tw..


4.7
·
2660 reviews
7h
Kirill Eremenko
Udemy
All levels
7h
Self-paced
Okay
Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!


4.5
·
3827 reviews
26-40h
University of Amsterdam
Coursera
Beginner
26-40h
Starts Apr 27
Good
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 y..


4.7
·
2068 reviews
19h
365 Careers
Udemy
All levels
19h
Self-paced
Okay
If you want to have a great career in Business intelligence analysis then this is a great course for you. You will learn all you need to become BI Analyst. The thing covered in the course are statistics, Database Theroy, SQL, andTableau.


4.5
·
3494 reviews
4h 31m
Paul Randal
Pluralsight
Intermediate
4h 31m
Self-paced
Good
If you?re a developer fighting to troubleshoot performance problems with the SQL Server, then this course was made for you. Applicable for SQL Server 25 and up, you?ll soon know how to employ the potent ?waits and queues? performance tuning method. F..


5
·
435 reviews
22h
George Ingersoll
Udemy
All levels
22h
Self-paced
Okay
This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.


4.4
·
2694 reviews
26-40h
University of California, Santa Cruz
Coursera
Intermediate
26-40h
Starts Apr 27
Good
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 da..


4.6
·
1487 reviews
26-40h
Duke University
Coursera
Beginner
26-40h
Starts Apr 27
Good
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 f..


4.8
·
1297 reviews
26-40h
Stanford University
Coursera
Expert
26-40h
Starts May 20
Good
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..


4.7
·
998 reviews
26-40h
University of Cape Town
Coursera
All levels
26-40h
Starts Apr 27
Good
If you?ve ever skipped over`the results section of a medical paper because terms like ?confidence interval? or ?p-value? go over your head, then you?re in the right place. You may be a clinical practitioner reading research articles to keep up-to-dat..


4.7
·
992 reviews
11.5h
Krista King
Udemy
All levels
11.5h
Self-paced
Okay
Learn everything from Probability & Statistics, then test your knowledge with 400+ practice questions


4.6
·
1553 reviews

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