Complete Guide to a Data Science Career Path in 2021
With the rapid technological advancements in the world, there is a rise in demand for skilled data science developers. It seems that every enterprise is hunting for experts who know both analytic and the business world. However, being a data scientist has its pros and cons. So it all boils down to one question- is a data science career a good option? This post will clear all your doubts about who data scientists are and various career prospects.
Who are data scientists?
Data scientist is a very loose term because everyone from data visualizers to researchers can be called a data scientist. However, to be more precise, a data scientist is a part computer scientist, part business trend spotter, and part mathematician. A data scientist is someone who can handle both the business as well as IT worlds.
Data science is widely used in all sectors across the globe. Hence, a data scientist is expected to have a broader skill set.
Career prospects in data science
Data science is probably one of the most rewarding and lucrative jobs right now. Demand for Data science professionals is observing an upward trend due to several openings in every sector. So let us now move onto the top designations for data scientists:
- Data scientist
Data scientists are the heart of any business these days. A data scientist has a mixture of skills that helps in unlocking key data insights. Data scientists’ job is generally to find trends in the data sets, build machine learning prediction models and then pitch this critical information with the marketing strategies.
A data scientist is expected to have specific skills such as mathematics, R programming or python, data model long, statistics, presentation skills, database skills, business acumen, and BI/visualization.
- Data engineer
A data engineer is a valuable asset to any business. They use their expertise to develop solutions and software. Their work mainly revolves around data architecture. They are also responsible for correcting data circulation so that the information passes to the correct division.
A data engineer is expected to have skills such as data cleaning, R program or python, database management, database cleaning skills, business acumen, presentation skills, and BI/visualization.
- Business intelligence developer
A business intelligence developer is considered the backbone of any business. The work of a business intelligence developer mainly revolves around data architecture, programming, and data science. A business intelligence developer is expected to have technical skills and extensive knowledge of various machine learning techniques. Apart from this, a business intelligence developer is also likely to have skills like data modeling, R programming, python, creating models, Hadoop, GitHub, visualization/BI, and business acumen.
Data science is a flourishing career path, especially if you get the best online data science certification. Data science has attracted significant attention in recent times since it has become an essential part of all sectors. The subject has also attracted many engineer graduates as well as professionals to the field.
