Everything you need to about Data Science Career: Data Science A to Z

Everything you need to about Data Science

Whether organizations are looking to enhance their customer experience, improve business operations; bring a new innovative product into the market, or upgrade existing products with exciting new features, data science technology plays an important role in doing all these things. Since all the companies currently want to leverage the power of data science, the demand for skilled professionals who can perform their data science Careers efficiently is increasing rapidly.

If you aspire to get into a data science career, then this brief Data Science A to Z guide will help you with all the necessary information you need to know about this industry, and thus help you plan your career accordingly.

Data Science Market Outlook

First, let us consider whether getting into data science is worth it. There is a myth surfacing around that data science technology has become obsolete and has become saturated. Some believe that data science is at its peak and there are no further opportunities available.

Maybe the following stats will help us give a clear idea.

  • According to Data Bridge Market Research, the global data science platform market is expected to hit a market size of $942.76 billion by 2030
  • This market is growing at a CAGR of 29%
  • Employment of Data Scientists is expected to grow at a rate of 35% by 2032 (as per US BLS)
  • Glassdoor reported the average base pay of data scientists in the USA is $86, 000 to $100,000 per annum

These numbers are sufficient to guess a career in data science is highly lucrative and looks very promising.

Different Job Profiles in Data Science

Students and young professionals must also know about the different job profiles the data science industry has to offer if they are looking to get into this domain. Some of the popular data science job roles are:

Role Responsibilities
Data Scientist They look after data science projects, build machine learning models, and create data-driven solutions.
Data Analyst Their main responsibility is to analyze data and provide valuable insights to support decision-making.
Data Engineer They are responsible for designing and maintaining the data pipelines by developing proper infrastructure to facilitate data collection, storage, and preparation of data for analysis.
Machine Learning Engineer Machine-learning engineers specialize in developing and deploying machine-learning models and transforming machine-learning algorithms into practical applications
Business Intelligence (BI) Analyst Business Analysts focus on using data and helping organizations make strategic business decisions. Their responsibility includes creating dashboards, reports, and KPIs to monitor business performance.

How to Become a Data Science Professional?

Acquiring the right educational qualification is necessary to become a successful data science professional. Data Science professionals belong to highly technical profiles having knowledge of their industry and business as well. So, having a graduate or post-graduate degree in the following field is recommended:

  • Mathematics
  • computer science
  • Statistics or
  • Engineering

Apart from the basic educational qualification, employers also look for specific data science skills in the candidates. Therefore, you must look forward to acquiring these basic skills to succeed in the data science market.

  • Programming languages – Python, R, SQL, etc.
  • Mathematics and statistics
  • Machine Learning
  • Data Manipulation and Analysis
  • Data Visualization
  • Good communication and collaboration skills
  • Problem-solving and critical thinking
  • Zeal to regularly update yourself with the latest industry knowledge

Top Data Science Certifications to Take Your Career Ahead

Data Science certifications are a great way to get updated with the latest tools and technologies and stay relevant in this industry. Having a certification from a top institute and university under your belt ensures you get a preference during the recruitment process.

Along with validating your skills and expertise in the field of data science, these certifications can help you earn higher salaries as well. Some of the best data science certification programs you can enroll in for your career in data science are:

  • IBM Data Science Professional Certificate
  • Microsoft Certified: Azure AI Fundamentals
  • Certified Data Science Professional (CDSP™) – USDSI®
  • Professional Certificate in Data Science – Harvard University
  • Google Data Analytics Certificate
  • Graduate Certificate in Data Science – Stanford University

There are several master’s programs in data science offered by top universities globally that can also serve as a great tool to master students’ data science tools and concepts such as data visualization, regression analysis, and everything you can think of in data science.

To sum up!

Data Science is still a growing industry. The rise in internet technology has led to the generation of an enormous amount of data every day. To extract meaningful insights about these raw data, it is essential for organizations to look for skilled and certified data science professionals who can perform their jobs efficiently and provide excellent results.

In this guide, we tried to cover the basic data science roadmap, the skills and education required, and the best courses and certifications to acquire these skills. With a little effort and dedication, and following the right roadmap, you can easily reach the top data science position. So, start now.