Skillshare

Tableau 10: Practical and Concise Part 1 (Skillshare)

Offered by Skillshare,

So, you've heard a lot about Tableau 10, but you don't know how to get started? This Udemy course is exactly what you need! This course will teach you all the fundamentals you need. Trust me, you won't need any other course to reach the intermediate/advanced level after this course.

In this course, you'll learn how to make the data work for you so that you can aggregate, analyze and visualize your data.
The is the first part of a payed course, which is aimed to be as complete as possible. It will include a lot of practice so that nothing stays theoretical, and the quality is in full HD, so that you can see everything on-screen.
Here is the first Tableau Workbook. You can watch the course and follow along!
The other parts of the course have more complete books, data, and analysis.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of Illinois at Urbana-Champaign

Infonomics II: Business Information Management and Measurement (Coursera)

Business

Even decades into the Information Age, accounting practices yet fail to recognize the financial value of information. Moreover, traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for most organizations to fully leverage available information assets. This second course in the two-part Infonomics series explores how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits.

Jun 10th 2026

4 Weeks

Business Big Data Accounting

Coursera

Johns Hopkins University

The Data Scientist's Toolbox (Coursera)

Statistics & Data Analysis Data Science

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.

Jun 8th 2026

4 Weeks

Data Github Data Analysis

Skillshare

Interactive Data Visualization: Getting Started with D3.js - V5 (Skillshare)

CS: Information & Technology CS: Programming

D3.js has become the standard for creating custom interactive data visualizations for the web. This feature-rich open source javascript library allows you to create dynamic and extremely diverse experiences that can interact with users and any other element on a web page. For programmers familiar with Javascript, it is not hard to pick up and run with D3 very quickly. For those with limited javascript experience, it can be intimidating.

Self Paced

Self-Paced

Javascript Information Design Data Science

Skillshare

Financial Modeling for Subscription Software: Cohort Analysis (Skillshare)

Economics & Finance

This class is for entrepreneurs with a subscription software business looking to delve deeper in understanding their user signup --> revenue flow. Building your model by cohort will give you tons of additional flexibility to change cost and growth assumptions and give insights to the KPIs that investors, boards, (and hopefully you) care most about!

Self Paced

Self-Paced

Entrepreneurship Financial Modeling Business Finance

Coursera

University of California, Irvine

Effective Problem-Solving and Decision-Making (Coursera)

Business

Critical thinking – the application of scientific methods and logical reasoning to problems and decisions – is the foundation of effective problem solving and decision making. Critical thinking enables us to avoid common obstacles, test our beliefs and assumptions, and correct distortions in our thought processes. Gain confidence in assessing problems accurately, evaluating alternative solutions, and anticipating likely risks. Learn how to use analysis, synthesis, and positive inquiry to address individual and organizational problems and develop the critical thinking skills needed in today’s turbulent times. Using case studies and situations encountered by class members, explore successful models and proven methods that are readily transferable on-the-job.

Jun 8th 2026

4 Weeks

Data Analysis Decision Making Critical Thinking

Coursera

Johns Hopkins University

Statistical Inference (Coursera)

Statistics & Data Analysis Data Science

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference.

Jun 8th 2026

4 Weeks

Statistics Probability Data Analysis

Coursera

University of Illinois at Urbana-Champaign

Data Visualization (Coursera)

Statistics & Data Analysis Data Science

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

Jun 8th 2026

4 Weeks

Data Mining Numerical Analysis Data Visualization

Coursera

University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Statistics & Data Analysis Data Science

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies.

Jun 8th 2026

5-12 Weeks

Python Machine Learning Clustering

Coursera

University of Illinois at Urbana-Champaign

Pattern Discovery in Data Mining (Coursera)

Statistics & Data Analysis Data Science

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data-driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

Jun 8th 2026

4 Weeks

Algorithms Data Mining Data Analysis

Coursera

University of Colorado System

Business Intelligence Concepts, Tools, and Applications (Coursera)

Statistics & Data Analysis Data Science

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Jun 8th 2026

5-12 Weeks

Data Analysis Decision Making Business Intelligence

Skillshare

Real Estate Modeling With Money Weighted Software (Skillshare)

Business

This class introduces you to Real Estate Modeling using the Money Weighted software application. From start to finish, I will show you how to "Run The Numbers" and how to create complicated real estate cash flow models using this intuitive but sophisticated program. I walk you through from start to finish and demonstrate the necessary inputs, assumptions and analysis.

Self Paced

Self-Paced

Business Investing Business Analytics

Coursera

University of Pennsylvania

People Analytics (Coursera)

Management & Leadership

People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on experience, and risk avoidance. In this brand new course, three of Wharton’s top professors, all pioneers in the field of people analytics, will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration.

Jun 8th 2026

4 Weeks

Leadership Analytics Performance Management