Data has become the new corporate currency hence any candidate with the relevant skillsets will be rewarded with a highly lucrative career as a data scientist. These type of professionals are in high demand as most organizations are looking for people to work on massive amounts of structured and unstructured data to provide useful insights that will help in achieving certain business objectives. The data science sector needs people with skills in data analysis, data visualization, IT architecture and test management. Statistics indicate that jobs in data science are expected to grow by 11 percent by 2024 which clearly shows that a data scientist is not just a mere buzzword.
Why Become a Data Scientist?
A career in data science offers several opportunities for those who want to set themselves apart from the crowd. However, it is important to be aware of some global trends in order to become a successful data scientist. The roles of a data scientist are not restricted to one particular industry as other sectors such as manufacturing, logistics and financial services are some of the emerging markets that are trending. Most companies are hiring industry-specific data scientists, so ensure that you hone your skills in your preferred sector in order to standout from other candidates. For instance, in the financial services sector, a data security specialist is in great demand since this industry uses transaction data that is highly exposed to potential data breaches and fraud which are major concerns in the industry.
While most data science roles require a high level of academic training such as a PhD in statistics or mathematics, there are other data scientist roles that do not necessarily require this level of training. But it is important to develop relevant skillsets that will help you excel in the industry. This includes signing up for online classes as well as attending professional best data science courses and bootcamps. You can also boost your CV by considering a big-data certification which is also critical in terms of career development and growth. Data analysts are among the most sought after professionals in the data science industry because most businesses are looking to cleanse and manipulate their data in order to build reports that clearly show what their business is all about.
Skills in quantitative analysis are therefore necessary for big datasets analysis. With these skills, you will also be able to conduct experimental analysis as well as implement machine learning which often overlaps with data science. The demand for experience in data governance is significantly increasing as companies rush to comply with the General Data Protection Regulation (GDPR) that seeks to strengthen the rights of data protection for everyone within the EU. Companies wishing to work with a European country are also required to comply which means that the regulation has far-reaching effects. It is predicted that over 75,000 data protection officers will be needed worldwide as a result of this regulation.
Data science is certainly the next big thing in business intelligence (BI) which means that by extending your experience and proactively developing your skills in this field, you will be rewarded with a fulfilling and lucrative career with numerous opportunities to explore.
- A Crash Course in Data Science by Johns Hopkins University
- Applied Data Science Capstone by IBM
- Programming for everybody (Getting started with Python) by University of Michigan
- Foundation of Data Analysis – Statistics using R by University of Texas at Austin
- Foundation of Data Science – Prediction and Machine Learning by University of California, Berkeley
- Neural Networks and Deep Learning by deeplearning.ai