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With big data skills fit for the application: 7 easy steps to data professional

Data analysis skills are very popular with employers. But appropriate training and further education are still rare. Hence 7 tips on how to become a data analysis expert even in a short time further education can.

Best of HR – Berufebilder.de®

Data Analysis - Most Wanted 2017 Skills

Data analysis and visualization are among the ten most sought-after skills among employers in 2017. That has the social Network LinkedIn 2017 calculated on the basis of surveys.

Many would like to do an appropriate training or further education, but corresponding offer are unfortunately still quite rare. It only helps to adapt the skills themselves in self-government.

7 steps to the data pro

Here are seven tips on how you can develop yourself to the data specialist without great effort:

  1. Use self-service tools: Working with data is in many Company already the order of the day. But you don't have to be a statistician or data scientist to evaluate data. Modern self-service tools help you to easily analyze and visually process your data. You can practice how to use such applications in appropriate training courses. There is also free help online - for example in the form of training videos and blogs.
  2. Improve analytical skills: Just as important as the safety in using technical tools are corresponding personal competences. If you get used to critical thinking and analytical curiosity, you will be able to draw more from the existing data - and of course improve your own soft skills.
  3. Ask questions: Questions are an important prerequisite for analytical thinking. Insights can only be gained from this by asking specific questions about the data. With the help of interactive data dashboards, you can ask questions about the data live and together with your colleagues and answer them in real time. The answers to the original questions often reveal completely new aspects that lead to new insights. The method of the "5 questions", developed by the Japanese Sakichi Toyoda, can help: Here, every answer is reacted to with a new "why" - until you get to the root of the problem.
  4. Facts instead of feeling abdominal: Your supervisor asks you for your opinion on a topic? Then do not begin your answer with the words "I have a feeling that ...". A data-driven answer appears more confident and competent - for example: "My data tell me that ...".
  5. Practice creates masters: The Internet provides an almost unlimited amount of freely available data that you can use to experiment and visualize. Free tools such as Tableau Public also allow you to make your own data and visualizations available for download or to save them as a link in personal profiles -Casting insert.
  6. Enter with entertaining data: When you go into data analysis, you start with data on entertaining issues, such as the question of whether movies are getting better and better with the growing experience of the directors (see graphic). Simple records and fun on the subject provide faster initial success.
  7. Learn from the community: Feedback is important. You can find other data newbies or professionals on the Internet with whom you can network and exchange information. Relevant blogs - such as Andy Cotgreave's visualization guide - will also help you overcome initial hurdles.

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7 responses to "Fit for applications with big data skills: 7 simple steps to becoming a data professional"

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