If you’re here, you’ve probably heard of DataCamp and its data science courses in Python, R, or SQL. But did you know that the platform also provides data analytics tools in addition to an introduction to programming languages? Today, we’ll discuss DataCamp Tableau classes and what they have to offer.
We’ll work our way through the DataCamp Tableau Fundamentals skill track one step at a time. We’ll begin with the Introduction to Tableau course and progress from there. If you want to get discounts on Tableu course, our Datacamp Discount will do that.
About Datacamp Tableu courses
Tableau was created as a data visualization and analytics solution for corporate information. It’s been used to query a variety of databases, store and retrieve data from in-memory data engines, and generate graph visualizations.
Because of its versatility and user-friendliness, it’s one of the most popular tools among business intelligence data scientists. It does not require any programming knowledge to use.
While learning a programming language like Python or R is always beneficial if you’re interested in data science, working with Tableau is far more simple and accessible than reading lines of code.
Data analysts can easily handle a lot of data with Tableau. Tableau is not a small player in the industry. World-famous companies like Jaguar, Lenovo, Coca-Cola, and Verizon use it to analyze and display their data.
Tableau is a great tool to learn if you want to work in data science.
Why Choose Datacamp for Tableau learning?
Datacamp is a data science-focused online learning platform. From programming languages to professional applications, DataCamp can help you improve your technical abilities in a gamified interactive learning environment.
Tableau instructions are available in DataCamp’s amazing portfolio of over 350 courses. In fact, if you’re just getting started, the DataCamp Tableau Fundamentals skill course is a wonderful place to start. Skill tracks are a collection of courses that will help you gradually develop your talents and identify your speciality in the business.
What are the basic Tableau fundamental skills?
DataCamp provides customers with two types of learning tracks: career and skill tracks. For individuals who already know what they want to accomplish in the field of data science, career tracks are an alternative. These are classes that will teach you how to become a R programmer, SQL data analyst, or Python machine learning expert.
Meanwhile, skill tracks are learning courses that are meant to help you improve your technical knowledge. They’re generally constructed around a certain programming language or tool, such as SQL, Tableau, or even spreadsheets, and may dramatically increase your employment options.
At first, learning a new skill might be intimidating. It might be difficult to know what comes after what when there are so many different resources, guidelines, and lessons accessible. DataCamp skill tracks guarantee that you’re progressing without missing any of the basics — all courses are ordered by difficulty and materials and follow each other.
Datacamp Tableau consists of the following courses:
- Analyzing Data in Tableau
- Creating Dashboards in Tableau
- Case Study: Analyzing Customer Churn in Tableau
- Connecting Data in Tableau
Conclusion
If you were worried that there aren’t many jobs in data science for people who don’t know how to code, learning about Tableau and how it works should have put your mind at ease. Don’t forget to tell us about what you learned by writing a review of DataCamp Tableau below.
You can also read our Datacamp review for further detailing.
You’ve finished the DataCamp Tableau Fundamentals skill track, which means you’re well on your way to becoming an expert at data visualization. You might even want to start thinking about getting certified as a Tableau Desktop Specialist.
