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What will a data scientist be like in 2022?

24 May 2022
Updated: May 24, 2022
Quick overview:

What will a data scientist be like in 2022?

Data scientists are "THE" new employees who are indispensable in every data-driven company today. This explains, among other things, the growing demand for these experts on the market and their salary.

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Data scientists are experts in data science. Their task? They gain knowledge from data in order to answer the questions posed to them. Their work goes beyond business intelligence: they work in the field of big data; they have studied mathematics and statistics and are proficient in various programming languages.

What skills and knowledge do I need to become a data scientist?

Data scientists are scientists who work with data sets. For this task, you need a range of skills and knowledge that you can acquire if you are interested in register for further training as a data scientist:

- Knowledge of databases to be able to store and analyze data using tools such as Oracle Database or MySQL.

- Statistics, probability theory and mathematical analysis.

- Proficiency in a programming language: R, Python and SAS are the most common languages used to perform data analysis.

- Mastery of data processing (cleaning, manipulating and organizing data). Popular tools for data processing include R, Python and Scoop.

- Mastery of the concepts of machine learning. Data scientists must be able to develop a system that can automatically learn and improve based on experience without having to be explicitly programmed. Machine learning can be performed using different algorithms such as supervised learning algorithms (LR, KNN, SVM, decision tree...) and unsupervised learning algorithms (K-Means, GAN...).

- Practical knowledge of big data tools such as Apache Spark, Hadoop and Tableau: these are used to process large and complex data that cannot be processed with conventional data processing software.

- Mastery of data visualization, integrating different data sets and creating a visual representation of results using charts, tables and graphs. 

How do you train to become a data scientist?

"How can I get further training in the field of data science?" This question would be much clearer if it were phrased differently: "Where can I study to become a data scientist?". This is one of the most frequently asked questions. Without a doubt, the skills and knowledge essential for this profession can be acquired at a university or college by following a course of study specializing in data science.

You can also learn data science at a training organization such as DataScientest. DataScientest's Data Scientist training is aimed at all candidates with a university degree in natural sciences (mathematics and statistics) and some knowledge of communication. You have two options: You can complete an end-to-end continuing education program and a bootcamp continuing education program.

The competency test takes place entirely online; at the end you will receive an academic certification from La Sorbonne University in Paris.

Our editorial team's articles focus on digital entertainment: tips, trends and tricks for anyone who wants to get more out of the Internet, technology and gaming - presented in an easy-to-understand way.

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