“We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced and statistical machine learning into data-science departments everywhere”.
In the digital era where we are creating data with every single click or swipe, we have created 50 zettabytes of data each day in 2020, which is enormous. The interesting thing is that it is still growing with every passing minute.
But this data is just a mess in its raw state. This has to be dealt with properly. The ever-increasing need for data-driven decisions has increased the demand for data science skills as well. Also, the pandemic has brought about a drastic change in consumer behavior and business operations, making data science and analytics the most crucial tools across functions as well as industries.
Did you know that if you know the ways of extracting useful information from raw data, you stay in a very powerful position?
According to the data provided by Glassdoor, the median annual salary of a data scientist can be USD 117,345. But the salary varies with the company, geographic location, qualification or certifications, and of course, experience.
Today Data Scientists are required in almost every organization across every industry, including Computer System Design, Federal Government, colleges and universities, car companies, software companies, tech companies, delivery companies, Research and Development, etc.
There are 57,064 jobs vacant across the world for Data Scientists, as per LinkedIn. If you are willing to become one, the Data Science course in Mumbai can be of great help as Mumbai is regarded as the city of dreams for many.
Let’s now discuss the role of a Data Scientist and how you can become one.
What is a Data Scientist?
An interdisciplinary field, Data Science involves processes, algorithms, scientific methods, and systems to extract useful information from huge chunks of data, which may be structured, semi-structured, or even unstructured. The information extracted is then used for a wide variety of applications across every industry.
A Data Scientist is an IT professional who collects, analyzes, and interprets massive amounts of data in a user-readable format.
From data analysts to data visualizers as well as business intelligence experts, the term data scientist is used loosely for all of them. A Data Scientist has to straddle both the business world and IT world by being a component mathematician, business trend observer, and Computer Scientist.
Data Science Career Path
Data Science is regarded as the most rewarding career path, but it is an umbrella term that encompasses many jobs under it as an increasing number of companies are embracing analytics and data science and are looking forward to hiring Data Scientists.
Almost 70% of job vacancies are for Data Scientists with no or up to 5 years of experience. Let’s look at the career path you can take with a Data Science certification.
The job role that is regarded as the ‘hottest job of the 21st century is the most in-demand role around the world. As a Data Scientist, you start with translating a business case into an agenda in analytics, creating hypotheses, and understanding data to trace patterns to measure their impact on the business productivity. You have to identify and select algorithms to cleanse and analyze data. You use BI tools to explain the effect of data-driven decisions that affect the company and suggest solutions to help the company in improving efficiency.
To deal with huge amounts of data sets, you need to possess excellent statistical, mathematical, and analytical skills.
Average Salary- USD 139,840
Business Intelligence Developer
As a BI developer, you are tasked with designing and building strategies to guide business users in extracting the information they require to make better decisions for the business. You have to be proficient in BI tools to create custom BI analytics applications. With BI tools, you can provide your company with a clear picture of where it stands.
Average Salary- USD 81,514
The typical tasks you have to perform as a Data Analyst include identification of the data to be analyzed, collecting the data, cleansing it in order to prepare it for analysis, analyzing the data, and then interpreting the result of analysis in a user-readable format.
To become a successful data analyst, you have to be proficient in analytics tools such as Google Sheets, Microsoft Excel, Tableau, R, Python, Jupyter Network, Microsoft Power BI.
Average Salary- USD 69,517
As a data architect, you have to create new database systems and identify ways for improving the functionality and performance of pre-existing systems and also provide access to database analysts and administrators. Also, you are required to make sure that the data solutions are developed for performance and design analytics applications that are meant for different platforms.
Average Salary – USD 108,278
Senior Data Scientist
A senior data scientist typically projects the future requirements of a business. In addition to collecting the data, you are also tasked with analyzing the data in depth to efficiently resolve highly complex issues arising in the business. With the knowledge, skills, and experience, you can devise and drive the creation of the latest standards and use statistical data to develop tools required for further analysis.
Apart from the different career paths mentioned above, you can choose from more of the job positions that come under Data Science. They are:
Business Intelligence Analyst
Machine Learning Engineer
Machine Learning Scientist
Data Science is an emerging field and has been of the top-rated careers in the IT world for the last few years. If you are willing to choose a career path from the ones listed above, don’t just boggle up your mind and head forward to take up an online training course.
These online courses from accredited institutes make sure that you acquire the required skills for the specified job role and get certified. The certification increases the chances of getting a job significantly.