Search result for Data Analysis Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 372 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Business Metrics for Data-Driven Companies
by Daniel Egger , Jana Schaich Borg- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs....
Fundamentals of Visualization with Tableau
by Desiree' Abbott- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer....
Data Analytics for Lean Six Sigma
by Inez ZwetslootTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data....
Introduction to Data Analysis Using Excel
by Sharad Borle- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them....
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 7 hours to complete
By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. The goal is to get you up to speed as quickly as possible on data science without all the fluff....
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. g. cross validation, overfitting)....
Problem Solving with Excel
by Alex Mannella- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
This course explores Excel as a tool for solving business problems. In this course you will learn the basic functions of excel through guided demonstration. Each week you will build on your excel skills and be provided an opportunity to practice what you’ve learned. Finally, you will have a chance to put your knowledge to work in a final project....
Mastering Data Analysis in Excel
by Jana Schaich Borg , Daniel Egger- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality....
Essential Design Principles for Tableau
by Govind Acharya , Hunter Whitney- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will evaluate pre-attentive attributes and why they are important in visualizations. Getting Started in Effective and Ineffective Visuals...
IBM Data Analyst Capstone Project
by Ramesh Sannareddy , Rav Ahuja- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
In this course you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization....
Previous
