What Is The Data Science Career Path?

 

Data Science is one of the most talked-about topics in the tech industry today. It is a discipline that uses tools, strategies, and complex Machine Learning algorithms to derive meaningful information and identify hidden patterns in raw structured and unstructured data. This discipline allows organizations to make improved decisions and to create predictive models. Most big enterprises have started incorporating this innovative science into their functions and are already marching way ahead of their competitors. Proper Data Science training is what it takes to transform you into an extraordinary professional in this field.

Data Science usually includes the following tasks:

  • Identifying the business problem by asking relevant questions.
  • Performing various functions related to Exploratory Data Analysis or EDA.
  • Utilizing complicated ML algorithms and designing a model.
  • Visualizing and interpreting the findings on charts, graphs, and dashboards.
What are some of the popular career choices you can make after getting certified from Data Science bootcamps, and what are the remunerations?
  • Data Scientist: These are professionals who investigate and identify what issues need to be addressed and find the information required for it. They convert the business problem into analytics data, develop, comprehend, and explore the data. Data scientists are responsible for deciding on what algorithm is to be used to solve a particular problem. They can convey to businesses how the data will affect them in the future and what steps are to be followed to yield better results in the future. The average salary of a Data Scientist, according to payscale, is $96,609. A Data Scientist needs to be aware of essential programming languages such as SAS, R, Python, statistical and mathematical skills, and be familiar with storytelling and data visualization tools, Hadoop, SQL, Machine Learning.
  • Data Engineer: A Data Engineer is responsible for handling large amounts of dynamic data. They are involved in developing, deploying, managing, and optimizing data and helps in transferring this data to the Data Scientists for further analysis. The average Data Engineer salary in the USA is $92,489, according to payscale. Data Engineers need to be familiar with programming languages like Scala and Java, NoSQL databases such as MongoDB and Cassandra DB, and frameworks like Apache Hadoop.
  • Data Analyst: Data Analysts are the mediators between Data Scientists and Business Analysts. These professionals translate technical findings into qualitative actions and communicate them efficiently to numerous business stakeholders. The average salary of a Data Analyst as per the payscale report is $61,593. The skills required are almost similar to that of a Data Scientist. However, a Data Analyst would need to be proficient in data wrangling and data visualization as well.
Do you want to launch yourself in one of these lucrative positions? Then register at SynergisticIT for their Data Science and Data Analyst course and establish a stable and successful career in the domain.

Also, Read This Blog: Data Science and Its Applications
Location: United States

Comments

  1. pawanAugust 19, 2022 at 1:10 AM

    Hi, I read your whole blog. This is very nice. Good to know about the A Detailed Guide to the Data Analytics Career . We are also providing various Data Analytics Career, anyone interested can Data Analytics for making their career in this field.

    ReplyDelete

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