Why Should You Still Learn Data Science? Is it worth it?

Data shapes every person’s life. The study of data that combines programming skills, expertise in mathematics, statistics and in the respective domains for extracting significant insights from data falls under the scope of data science. Businesses therefore require data scientists to make sense of the random data available and turn it into actionable insights so that employees can develop, produce and make strategic decisions more efficiently.

Role of Data Scientists

Data Science incorporates many advanced technology concepts like Artificial Intelligence, Deep Learning, Internet of Things and more. With the increase in demand for better and new technology, data scientists are becoming more and more in demand these days in almost every field.

They are expected to work closely with business investors to understand their goal line and determine how to achieve these goals with the available data. They create algorithms, predictive models and propose data modeling processes, to extract data for the business. They also assist in gathering, analyzing, processing and interpreting large volumes of both structured and unstructured data to share insights with the employees and stakeholders.

Why do a Data science course?

Data science is one of the prosperous fields across the globe. Data has become increasingly valuable in today’s world, and creates loads of opportunity for data-centric roles at big and reputed companies. In simple words, owning a data science certificate means landing a high paying job.

Most employers are looking for data science specialists with advanced degrees like MSc. in Data Science. Data science degree programs offer students with the technical capabilities that are required for analyzing data and developing actionable results. The assignments of such courses normally emphasize on statistics, programming, math and social sciences.

Data Science course are curated to help learners gain expertise in Data Wrangling, Statistics, Exploratory Data Analysis, Decision Trees and Machine Learning Algorithms. This course also familiarizes students with the concepts of Text Mining, Time Series and more which help them to analyze data in their professional lives.

Therefore candidates interested in data science positions typically need to have a background in mathematics or computer science and build on that with a master's in data science or a related field.

What degrees can you choose from?

There are several options available that learners can choose from for doing a data science certification course. Most of these options involve learning in formal colleges.

Students with mathematics or computer science backgrounds can opt for the traditional bachelor’s degree with data sciences. They may also choose to extend their education in this field by doing a Master’s of Information and Data Science. Shorter Data Science certification courses offered by renowned institutes like Henry Harvin are also available in the market for professionals who want to get a deeper understanding in this field or want to change their career.

Career Options for Data Science Professionals

Data science professionals are highly paid and doing extremely well in every industry. There is a need for experts who can give an insight into how businesses can grow fast with data driven solutions. Most organizations including the government depend on big data to deliver effective services to their clients.

Below are a few popular data science roles one can take up after completing their data science certification

Machine Learning Engineer

Business Intelligence Developer

Applications Architect

Infrastructure Architect

Enterprise Architect

Data Architect

Data Engineer

Data Scientist

Data Analyst

Statistician

Conclusion

Data is produced daily by everyone with and without our knowledge. Our daily interaction with data continues to increase overtime. In addition, the amount of data available worldwide keeps increasing every day. With the increase in production of data, the demand for data scientists is becoming vital to help companies use and manage this data well.

It is also important to understand that occupational fields that have no growth potential are threatened with stagnation. This means that in order for opportunities to arise and thrive in the industry, the respective areas must constantly evolve and change. Data Science has an expansive career path that promises many prospects for the future as it caters to many different industries.