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Data Science and Data Analytics Jobs to Increase ...

As per statistical Data - 

There will be 2.7 million job posting for data science and analytics role by 2020. 
What is Data science 
Companies hire data scientists to find insights and to solve meaningful business problems. As a Data scientist your job would be to work on enormous amount of unstructured and structured data. Use mathematics, Problem-solving, Statistics and programming to clean and Organize the data. Apply the Industry knowledge to understand and uncover the solutions to Business challenges.
Skills What companies are looking for?
Master Degree or Degree with knowledge in Big Data, machine learning and data mining, large scale computing systems like COSMOS, Hadoop, MapReduce and other big data technologies including experience in SQL, R, Python, SAS, AzureML or similar languages. Expertise into deep learning- neural networks, Artificial intelligence using databases, Data visualization skills, cloud based big data infrastructure.
What is Data Analytics – 
Data-driven Decision Making is the word. Data Analysts Examine data sets and draw conclusions about the information they contain with the help of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions
data analytics can be simple, today the term is most often used to describe the analysis of large volumes of data and/or high-velocity data, which presents unique computational and data-handling challenges.

Skills What companies are looking for?
Knowledge on analytical applications like (Tableau, Power BI, Chartio, Excel, SAS,etc) , Querying Languages – SQL, Pig , Hive. Scripting Languages – Python, Matlab . Statistical Languages –R, SAS, SPSS
  • Analytical Skills: Data analysts work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions.
  • Communication Skills: Data analysts are often called to present their findings, or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas.
  •  Critical Thinking: Data analysts must look at the numbers, trends, and data and come to new conclusions based on the findings.
  •  Attention to DetailData is precise. Data analysts have to make sure they are vigilant in their analysis to come to correct conclusions.
  • Math Skills: Data analysts need math skills to estimate numerical data

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