Search result for Data Analysis Online Courses & Certifications
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Data Wrangling, Analysis and AB Testing with SQL
by Katrina Glaeser- 3.4
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Approx. 16 hours to complete
This course allows you to apply the SQL skills taught in “SQL for Data Science” to four increasingly complex and authentic data science inquiry case studies. We'll learn how to convert timestamps of all types to common formats and perform date/time calculations. Data of Unknown Quality Course Introduction Introduction of Data of Unknown Quality...
Statistics with SAS
by Jordan Bakerman- 4.8
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Approx. 20 hours to complete
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. Course Overview and Data Setup Welcome and Meet the Instructor Demo: Exploring Ames Housing Data Learner Prerequisites Access SAS Software and Set Up Practice Files (REQUIRED)...
Julia Scientific Programming
by Juan H Klopper , Henri Laurie- 4.5
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Approx. 18 hours to complete
This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more. As open source software, you will always have it available throughout your working life....
Data Science Ethics
by H.V. Jagadish- 4.8
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Approx. 15 hours to complete
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. " No particular previous knowledge needed....
Introduction to Big Data
by Ilkay Altintas , Amarnath Gupta- 4.6
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Approx. 17 hours to complete
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems....
Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
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Approx. 25 hours to complete
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. In this course you will learn how to become a master at communicating business-relevant implications of data analyses. About this Specialization and Course About this Specialization...
Data Science in Stratified Healthcare and Precision Medicine
by Dr Areti Manataki , Dr Frances Wong- 4.6
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Approx. 17 hours to complete
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. You will have a hands-on experience of working with such data....
Analyzing Big Data with SQL
by Ian Cook- 4.9
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Approx. 18 hours to complete
In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL....
Statistical Thinking for Industrial Problem Solving, presented by JMP
by Mia Stephens , Ledi Trutna- 4.8
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Approx. 44 hours to complete
Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to:...
Digital Marketing Analytics in Theory
by Kevin Hartman- 4.5
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Approx. 20 hours to complete
Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily....
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