Data Science Career Tracks: What's the Right Path for You?

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Explore 565 data science courses covering everything you need to know about Statistical Analysis. Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments.

Coursera

University of Michigan

Free

Coursera

SAS

Free

Codecademy

Coursera

Yonsei University

Free

Coursera

IBM

Free

Data Analysis with Python

15 hours

Beginner

214,062

15 hours

Beginner

214,062

Coursera

University of Illinois at Urbana-Champaign

Free

Data Analytics in Accounting Capstone

19 hours

Intermediate

1,821

19 hours

Intermediate

1,821

FutureLearn

Free

Data to Insight: An Introduction to Data Analysis and Visualisation

8 weeks, 3 hours/week

Beginner

93,016

8 weeks, 3 hours/week

Beginner

93,016

Coursera

Johns Hopkins University

Free

Coursera

Johns Hopkins University

Free

FutureLearn

Free

Introduction to Data Science with Microsoft Azure

2 weeks, 5 hours/week

Beginner

2 weeks, 5 hours/week

Beginner

Coursera

Imperial College London

Free

Codecademy

Data Science Graduate Degrees

University of Texas at Austin

Data Science Graduate Degrees

University of Pennsylvania

MBA Major in Business Analytics

20 months

$166,460

893

20 months

$166,460

893

Coursera

Johns Hopkins University

Free

Regression Models

54 hours

120,000

54 hours

120,000

Free Online Data Science Textbooks

KU Leuven

Free

Coursera

University of California, Davis

Free

SQL for Data Science

14 hours

Beginner

359,396

14 hours

Beginner

359,396

**Statistical Analysis** is most likely to appear on Data Scientist job descriptions where we found it mentioned 80.5 percent of the time.

Imperial College LondonJohns Hopkins UniversityKU LeuvenUniversity of California, DavisUniversity of Illinois at Urbana-ChampaignUniversity of MichiganUniversity of PennsylvaniaUniversity of Texas at AustinYonsei UniversityMcCombs School of BusinessWharton SchoolIBMSASCodecademyCourseraData Science Graduate DegreesFree Online Data Science TextbooksFutureLearnLinkedInAlex BottleBrenda GundersonJordan Bakerman

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May 19, 2022 For Data Scientists, It’s Always Decision Time Towards Data Science - Medium

May 19, 2022 Inference Optimization for Convolutional Neural Networks Towards Data Science - Medium

May 19, 2022

In-PersonWashington DCUnited States 6 Days

The Joint Statistical Meetings (JSM) is the largest gathering of statisticians and data scientists held in North America. It is also one of the broadest, with topics ranging from statistical applications to methodology and theory to the expanding boundaries of statistics, such as analytics and data science.

JSM also offers a unique opportunity for statisticians in academia, industry, and government to exchange ideas and explore opportunities for collaboration. Beginning statisticians (including current students) are able to learn from and interact with senior members of the profession.

Register now