Introduction to Data Science and Top Data Science Job in 2021

  

What is Data Science?

  Data Science is working with raw data. It is a blend of statistics, algorithms, and machine learning principles. So, it is used for decisions making and business predictions.

What is Data Scientist?

  Data science is a field that uses mathematical problems, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data. Data scientists bring out useful business insights for effective decision-making.

Job Growth of Data Science:

  "Data science was named the fastest-growing job in 2017 by, and Glassdoor ranked data scientist as the best job in the United States in 2018."

  There are many reasons to pursue data science, but perhaps the most compelling is the incredible job growth that is currently happening in the field. As a data science and business statistics major you’ will be taking the first step on a career path in that domain. 

Types of Data Science Job:

1. Data Analyst
2. Machine learning expert
3. Data engineer
4. Data Scientist

1. Data Analyst:

  A data analyst is an individual, who performs mining of a large amount of data, models the data, looks for patterns, relationships, trends, and so on. At the end of the day, the data analyst comes up with visualizing data and prepare the reporting data for decision-making and problem-solving processes.

     2. Machine Learning Expert:

  The machine learning expert is professional specialized works with various machine learning algorithms and techniques used in data science such as regression, clustering, classification, etc.

     3. Data Engineer:

  A data engineer works with a huge amount of data and responsible for building the data pipeline and maintaining the data architecture of a data science project. They were also responsible for the creation of data set processes used in modeling, mining, acquisition, and verification.

      4. Data Scientist:

 A data scientist is a professional specialized work with a huge amount of data to come up with compelling business insights through the deployment of various tools, techniques, methodologies, algorithms, etc.