10 Great Skills You Need To Become A Data Scientist

 

“The demand for Data Science skills are expected to drive a 27.9 % increment in employment in the field by 2026 – says U.S. Bureau of Labor Statistics reports.”

Data Science has become a prominent work field because of its ability to help businesses take actions, decisions based on deduced facts, statistical numbers, and trends from raw and scattered data. If you are someone who is stuck at “why become a data scientist”, here are your 3 great reasons:

  • Pay is great (a folk can take home an annual average salary of $113,436).
  • Learning filled career (you are always tossed with great innovations to learn & grow).
  • Recession-proof (there is a skill-gap, great chance to reskill in this field via Data Science Training & tap on the job market with great confidence).

So if you are done understanding “why become a Data Scientist”, let’s take you to another major concern of “what skills you need to become a Data Scientist”. Before you hunt for “steps to become a Data Scientist”, “How to Become a Data Scientist”, or more specifically “ how to become a Data Scientist in 6 months”, know the 10 must-have skills/steps to become a Data Scientist in 2020 and beyond.

10 Must-have Skills to Become a Data Scientist

  • Probability and statistics

Data Science is a process of combining processes, systems, algorithms, tools to extract the insights or knowledge from the datasets – to further take actions and decisions based on drawn insights.

Probability and statistics are part and parcel of the Data Science process, which helps with making clear predictions, estimations, inferences for helping with analysis. 

The probability and statistics are intertwined, which helps with:

    • Understanding the underlying relationships or dependencies between different data or variables.
    • Defining motive or pattern of data.
    • Defining future trends.
    • Exploring and gaining more inputs on data.
  • Programming Languages – Python and  R

Data science involves procuring, cleaning, and organizing of data – for which statistical programming languages are must that helps in the purpose. The popular programming languages that are used in conjunction with Data Science are R and Python. 

Why Data Science with R & Python?

“Over 50% of Data Scientists are skilled in Data Science with R or Python”.

  • R as a statistical language helps with statistical analysis and learnings via its rich libraries & capabilities.
  • Python with its better coordination with Machine Learning is a fit when data analysis tasks are ready to be aligned with the web applications.

Data Science without knowledge of programming/coding is damn difficult. Therefore, it is recommended to get well-versed with programming languages like R or Python first.

  • Machine Learning

As a Data Scientist, you would be required to transform the business problems into Machine learning tasks. 

After procuring the datasets:

    • You will be required to feed the data with suitable ML algorithms. 
    • ML will further process these datasets via suitable algorithms and data-driven models.
    • The machine you are training will learn how to predict the data pattern and will know how to produce accurate results in the future. 

As a Data Scientist, you should know every inch of Machine Learning concepts like random forests, k-nearest neighbors’ algorithms, and more such concepts application in real-time.

  • Data Visualization

Data Visualization skills are important when you are working in a large data-driven organization – where both technical and non-technical professionals coexist.

Data Visualization Skills:

    • You are better able to explain and narrate your findings on the data via neat and easy to understand graphical representations or visuals as bar graphs, pie charts, maps, and more. 
    • You can easily make anyone understand trends, outliners, patterns that you have found in the datasets.

Since visuals are interpreted faster than inscribed texts, the Data Visualization with Tableau tools can come in handy to explain the insights that you have discovered, without much talking.

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