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3 Super Skills that every aspiring Data Scientists should master

“Data Science is the sexiest job of the 21st century.” This is termed by Harvard Business Review. We all know that what Oil did in the 20th century, Data will do for this one.  It has an immense opportunity right now and this is just the beginning.

But most people think that data science is just a subject. No, it is not. It’s a mix of many skills combined in one. Even programming need to be great at coding, data structures, algorithms, and computer network, then why not data scientists? This article is sourced from here. Data science is one of the growing fields of interest in the coming times.

What is data science?

Now, I am not going into much detail, but here is a basic overview:

Data is all about combining various tools, sources, and statistics to get your job done. It starts with extracting raw data to filtering it for specific matters. It is one of the most powerful tools which help businesses to make informed decisions and solve various problems.

Before going forward I want to tell you that this is not the final list. You should also be proficient in programming and database management. And practice is more important. You should at least make 1-3 projects to master. There are some beginner-friendly data-science projects here.

3 New Skills to Master for any Data-Scientists

Statistics and probability

Data science uses various algorithms to extract raw data. Statistics and probability help in making estimates of the data for further analysis. With a good knowledge of this, you would be able to explore and understand data in a better way, identify relationships between variables, determine various patterns, uncover the anomalies, make decisions, create data models, and predict future trends.

Data wrangling and visualization

Once the data is extracted and organized, the next step entails analyzing it. It is imperative to understand how the data functions and what it could deliver to your business. Data wrangling helps in processing data for further analysis, mapping and combining relevant fields, and then cleaning it. Once the data is presented, the next step is data visualization. One should learn how to represent the data in graphical forms and communicate what the data is trying to say. It provides a comprehensive presentation of the data and helps in concluding with your decisions. Hence, it is one of the most essential skills for any data scientist.

Cloud computing        

Data science often includes using cloud computing products and services to help professionals access their resources. All your data is stored in the cloud and hence it is important to have a fair idea of cloud computing. It provides access to various databases, frameworks, and other operational tools. Data science involves a lot of interactions with volumes of data, size, and availability of data and others, hence this forms essential skills for data scientists.

So, these are the 3 super skills that you should master to get ahead of everyone else in 2020. If you need any help, we atFavTutor can help you. Now, what are you waiting for, go on, and practice? You can read more articles here.


Written by Mark Nathon

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