Data Science is an integral part of businesses today and organization looking at customer satisfaction and attaining maximum productivity have taken Data Science very important. So, if you are looking at building a Career in Data Science you are on the right path. However, before you venture into this highly demanded Career, there are certain soft skills you must be equipped with.

Here are some of the soft skills you must have as a Data Scientist:

MUST HAVE SOFT SKILLS IN DATA SCIENCE

Critical Thinking Skills: [/b]Critical Thinking can be seen as the unbiased method of analyzing, evaluating, and synthesizing available facts, and pieces of evidence, to form a base of judgment or profer solution to complex problems.

The relevance of Critical thinking in Data Science can never be over-emphasized as Data Science deals with big data in organizations that form complex problems and business owners are in constant need of solutions to these problems. So, having Critical Thinking as a soft skill is an added advantage to anyone building a Career in Data Science as this will help you see problems from different perspectives, analyze resources available to solve a problem, and determine the most suitable resource to be used to solve problems.

[b]Problem-Solving Skills: Problem Solving Skills are basically about figuring out existing problems, identifying Problems, scrutinizing the problems, examining possible solutions to problems, and acting on the most proffered solution to problems.

Having known what problem-solving Skill is all about, it is important to note that Data Science and Problem Solving cannot be separated as Data Science is all about finding problems and solving problems. It is therefore important that anyone building a career in Data Science must build his problem-solving Skills as this helps you to find problems hidden in big data and profer the best solution to the problems.

Effective Communication skills: It is one thing to know how to analyze data, identify problems, and profers solutions and it is another thing entirely to communicate all your analysis, findings, and solutions to a second party.

In Data Science, if you cannot present your findings with clarity in a communicative manner to the organization, it is as good as not finding any solutions at all. Data scientists should have effective communication skills which will enable them to communicate every data-driven insight gotten from their research in the most understandable terms to the business or organization.

Business Understanding: [/b]As a Data Scientist, Being good at analyzing data, and finding and solving problems is good but it is better to have all of these with a deep understanding of businesses. This is needful because every business has peculiar needs which can only be known when the business is properly understood.

If you are looking at building a Career in Data Science, you must build these soft skills.

[b]AFTER BUILDING THESE SOFT SKILLS WHAT NEXT??

Flip to Tech is offering an Eight ( weeks Training Course on DATA SCIENCE where you will learn:
Spreadsheet
Data Cleansing
Data Analysis
SQL
Decision Making
Metadata
Sample Size Determination
Questioning
Data Visualization ( DataViz)

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Training Commence: July 23rd, 2022.
Venue: 45. Ajose Adeogun Street, Utako, Abuja.
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