What makes Data Science a celebrated career choice? Why is it one of the most sought-after professions in the world and a top pick for IT professionals who make career switches? Revolutionizing countless industries and influencing business strategies, Data Science has become an indispensable part of the modern world. By mining data and converting them into valuable insights, it has become pivotal in helping organizations make informed choices and strategic decisions. This sums up the success of Data Science as a discipline and a profession; it wields power over an array of industries and trends.
Now, how does one become a Data Scientist? A field as complex as Data Science requires every aspirant to go through a productive yet trying journey before they take on the role. This comprehensive playbook offers an in-depth understanding of the domain, top positions, skills, and credentials that will help you successfully land a job in the field of Data Science.
According to the Bureau of Labor Statistics, there will be 11.5 million job openings in Data Science by 2026. This section explains the adoption of Data Science in various fields all over the globe, the rising demand, and the basic responsibilities of a Data Scientist.
There has been a rapid growth in the demand for Data Scientists due to the massive adoption of the practice in countless fields. This section explains how different industries leverage Data Science; namely, healthcare, education, retail, communications, and so on.
Since data and its uses are ever-evolving, Data Science is subjected to changes every year. The field generates several designations based on demands and requirements. This section discusses the top 4 Data Science positions: Data Scientist, Data Analyst, Data Engineer, and Business Intelligence Developer.
This section mentions some of the global expectations and predictions in the field of Data Science. It explains why Data Science is all set to be a multi-billion dollar industry and how Data Scientists can expect a great demand across the globe.
This section details the skills you need to develop to become a successful Data Scientist. Some of them include mathematics, database knowledge, machine learning, data visualization, deep learning, and so on.
This section touches upon questions about degrees and other credentials that you need to become a Data Scientist. Ultimately, what matters in the field is your hands-on project experience. In this section, you will find reasons to choose a Data Science career program over conventional degrees and a career roadmap to land a job faster.