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Posted By on 07/23/2019

Will learning Tableau help me become a better data scientist?

Will learning Tableau help me become a better data scientist?

Tableau is a charting tool that allows data analyst and scientist to communicate to their audience through visualizations. Tableau works with multiple data sources like Excel and SQL so data professionals can import data to create visualizations.

Visualization and communication are key for a data scientist — without it, your findings are worthless. Tableau makes it super easy to communicate your findings in a way that your audience will understand and get more from the data science course.

Data science includes data mining, data engineering, and data visualization. So to become a good data scientist, you should know how to gather data from various sources, structure it to make it apt for analysis to gain insights and then visualize these insights to make it easier for your company’s decision-makers to understand them and use them for the betterment of the business.

Data scientists extract knowledge from data. They investigate complex problems through expertise in disciplines within the fields of mathematics, statistics, and computer science. These areas represent great breadth and diversity of knowledge,  and a data scientist will most likely be expert in only one or at most two of these areas and merely proficient in the other(s).

Tableau is a self-service analytics solution that helps companies visualize and understand their data. The solution allows businesses to quickly connect, visualize, as well as share data through its many features. It allows you to connect to a number of data sources you’re already using, import and visualize data in a matter of minutes. It works fast and flawlessly from data saving, sorting and sharing to moving data, building and publishing a dashboard. Its comprehensive library of data visualizations helps quickly create stunning charts and graphics. Some of the most useful components of Tableau are detailed in this article.

  • IT – facilitate day-to-day infrastructure monitoring, helpdesk management, and budget planning.
  • Sales Analytics – understand sales numbers and how to make them grow.
  • Social Media – get in-depth social media performance across all platforms and sites.
  • Finance – bridge financial and business data lines to strengthen strategy.
  • HR – visualize relationships between productivity, hours, and tasks to optimize schedules and resources.

 learning Tableau will improve your data visualization skills and add value to your resume. But there’s an opportunity cost - time and money spent learning Tableau online training is time and money is not spent learning other skills.

 job postings for data scientist positions and what recruiters want, if you’re competent in R and ggplot2, but don’t know Python or Tableau, in my opinion, better to prioritize learning Python. If you know R and Python, but don’t know Hadoop or Tableau, learn Hadoop first.

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