Data is the new oil, and data science is no more a buzzword—instead, a huge dynamic platform in the current IT department. Currently, data science is the world’s most in-demand and highly compensated role. So, what exactly is data science, and what makes it the highest-paid job ever in the IT sector?
What is data science?
There’s already a massive rise in internet usage, which also gave rise to digital data. A daily plethora of data is being generated from millions of users. So, how can businesses derive valuable insight that aids them from these unstructured data sets? This is where data science comes into play. Data science, in simple terms, means that the process used to extract value from data.
Data science involves obtaining, scrubbing, exploring, modeling, and interpreting raw, unstructured data. Data scientists use specific tools to restructure data and make it user-friendly for businesses to maintain a competitive edge over others.
Some popular data science applications are fraud & risk detection, healthcare, internet search, targeted advertising, self-driving cars, etc.
Thus, a career in the data science field will be highly promising and secure. How can one obtain a data science training certificate and make a career from it through high-end jobs? This article is curated just for you. Keep reading to know about data science training certifications and related jobs.
Data science training certificate
There are two ways from which one can obtain a data science training certification. Namely:
- Online data science certificate course
- Data science classroom course
After looking at the current pandemic situation, you may observe that many aspirants prefer online courses with permissible relaxations with added benefits of online certification.
But before entering into any mode of certifications, one has to make decisions on price, content covered, time commitment, job placement rates. Compare the preferred choice with others to ensure that one is entering the correct and suitable course considering the required skills and job description.
The aspirants selecting traditional classroom education over online platforms may consider the above before choosing data science training courses.
However, there are providers with certification only and certification and learning platforms in data science classroom courses and boot camps. However, one should note that all certificates do not guarantee jobs. For that reason, before entering into any certification course, one has to go through all the criteria the particular course provides thoroughly.
One of the fastest ways to get certified and get desired jobs is boot camps. Bootcamp is a short-term intensive training program where the courses are curated in short, intensive, and rigorous forms.
Skills vs. Certificate
No matter how many certificates one can obtain, the skills from these courses also need to be digested by the aspirant. According to a recent survey, it is estimated that only 21% of the actual job-required skills are taught in many of the online certification courses.
Let’s have a look at the critical skills one needs to possess for becoming a data scientist, namely:
- Mathematics includes linear algebra, matrix operations, permutations, and combinations, differential calculus.
- Statistics include measures of spread, shaping operations, statistical applications, central tendency.
- Programming includes having a command over programming languages such as python and R, working with various types of data seamlessly, data structures, exception handling, matrix handling, language syntax.
- Data handling includes data ingestion, data collection, data manipulation, data cleaning.
- Another essential skill is machine learning (ML) which includes recommendation systems, semi-supervised learning, data manipulation, and simplified ML algorithms.
- Deep learning includes convolutional neural networks, recurrent neural networks, natural language processing, image recognition.
- Data visualization includes charts and plots, dashboarding tools, data streaming, data wrangling, tableau, or any business intelligence tools.
- Big data includes big data tools in the market, apache foundation, pyspark, concepts of data engineering.
- Version control includes working with repositories, knowledge of Git and bitbucket, branching and production, basics of Github and VCs tools.
- Above all, creativity is an essential aspect, considering that data collection is handled by a data scientist and derives very useful and user-friendly data information from that plethora of unstructured and raw data.
Various Data science jobs
From the various available data science training certificates, one can obtain data science jobs with the required certification and the essential skills mentioned above. Based on the size of the firm and quantity of data, the data science jobs may include various titles or job roles such as:
- Data scientist
- Data analyst
- Machine learning engineer
- Machine learning scientist
- Applications architect
- Business intelligence analyst
- Statistician
- Infrastructure architect
- Enterprise architect
- Data architect
These are some of the hats the data scientist can wear according to the situation demanding. The average salary of a data scientist lies somewhere between 5 to 9 lakhs based on expertise and real-time problem-solving skills. Due to the dynamic and volatile environment in the current data science platform, demand may create various new jobs within the next 10 or 20 years based on the market conditions and demand.
Future of data science
One should not confuse data science with big data because data science is the umbrella term used for all tools and models used for manipulating data. Big data is part of data science, which means that piles of data are in an unstructured and complex form.
Since AI, ML, DS, big data, cloud computing all go hand in hand and are based on current emerging technologies. You can observe that all these fields will massively overtake the major industries in terms of the computer science and IT market.
It is estimated that India will witness more than 11 million job openings by the year 2026. Even though there are various job openings for data scientists in India, there are many vacancies to fill up, which shows the increasing demand for a typical data scientist.
Summing up
With the rapid growth in businesses and the desire to grow every nook and corner, the companies have to use the daily piling up of data for the targeted audience to survive and thrive in this competitive market—this point where the data scientists come in.
For one who chooses a career as a data scientist, certificates like an online data science certificate course play an important role only when the data scientist aspirant has the skills related to that certificate. However, the skills are way more important than the certificate itself. Today companies are looking for skill-based data scientists over certified aspirants, so this says the importance of skills over typical credentials.
To ensure a high-demand career with a secured environment, one can choose data scientist as their next best career route.
nice blog