Job opportunities by 2025*
Average salary at entry level
Highest Salary Hike
Career transitions in varied domains
Updated on: Feb 17, 2025
Updated on: Oct 9, 2025
Updated on: Nov 19, 2024
Updated on: Oct 15, 2025
Updated on: Jun 13, 2025
Updated on: Oct 8, 2025
Data science is the study of vast volumes of data using modern tools and techniques to uncover unseen patterns and derive valuable insights to help make business decisions. Data science makes use of complex machine learning algorithms to build predictive models. The data comes from varied sources, such as the web, smartphones, sensors, customers, etc., and is presented in different formats.
Data science combines multiple fields, such as statistics, artificial intelligence (AI), computer science, and data analysis, to extract value from the data. The professionals who practice data science are called data scientists.
A data scientist analyzes business data to derive meaningful insights and solve business problems. They analyze which questions need answering and where to find the related data. Data scientists possess analytical skills and business acumen as well as the skills to mine, clean, and present data.
There is a massive amount of data that is generated every day in this technology-driven era. To make the most of this collected data from industries, such as finance, banking, marketing, retail, and IT, data science professionals are in high demand and are offered high compensations. According to research conducted by IBM, data scientist is one of the most trending jobs of the 21st century. So, having data science as a career is a good option.
We offer several free resources, such as tutorials, blogs, data science community, etc., to get learners started in their data science journey. Aside from this, we offer free courses on Python for Data Science, R Programming, Statistics, and Data Science Fundamentals, so that you can easily progress to more advanced levels without difficulty.
You can start your career in data science by first learning all the fundamentals in the domain such as Python for data science, R programming, statistics for data science, and data science with R. You can acquire all these skills from the free courses offered by us. After completing these courses, you can start acquiring more advanced skills and certifications.
While data science does require coding, you do not require extensive knowledge of advanced programming or software engineering. You can easily learn Python and R to be able to start a career in data science.
Some of the companies that are actively hiring data science professionals are:
Data science stems from multiple disciplines and requires a keen sense of problem-solving and a high mathematical aptitude. Statistics, programming, and mathematics are some of the key disciplines that make up this domain.
One cannot become a proficient data science professional only through acquiring knowledge from various online resources. While they are necessary for building the fundamentals, it is the domain knowledge and hands-on experience that helps one tackle business problems with confidence.