All of us desire a profession that we are passionate about, enjoy doing, and that will enable us to support ourselves comfortably. Jobs in technology have expanded significantly worldwide in recent years due to the expansion of technology use in our daily lives. The majority of these positions have handsome salaries and decent benefits compared to most other professions. New jobs will also keep coming as technology advances constantly. Jobs in technology have therefore always been particularly alluring for those considering a career shift or for students while deciding on their career options. Data science is one of the most well-known tech job pathways. It is a field that is as broad as it is significant in today’s society. Both the number of people pursuing data science courses and the number of data science tools have skyrocketed during the past ten years. In this blog we will discuss about “Is data science a good career for you or not.”
What is Data Science?
Data science is an interdisciplinary field that uses information from data to inform a variety of application fields by utilising scientific methods, procedures, algorithms, and systems to extrapolate knowledge and insights from noisy, structured, and unstructured data. To discover the hidden actionable insights in an organisation’s data, data scientists mix maths and statistics, specialised programming, sophisticated analytics, artificial intelligence (AI), and machine learning with specialised subject matter expertise. Strategic planning and decision-making can be guided by these findings.
Data Science Forecast
Artificial intelligence (AI), machine learning (ML), and the internet of things (IoT) technologies are widely used nowadays. The adoption of platforms and software is rising due to their acceptance. Due to the continuous rise in data volumes, modern data handling systems and solutions are crucial to business growth. The data science platform is one such piece of software that is currently being used extensively by enterprises. As per precedence research, data science platforms market size are projected to increase at a compound annual growth rate (CAGR) of 16.43% from 2022 to 2030, reaching around USD 378.7 billion.
Career Options In Data Science:
Careers in data science have recently drawn a lot of attention, and for good reason. Data science has progressed from merely being analytics and statistics to generating forecasts, making judgements, and taking actions that affect the world. Almost every industry makes use of data. Although there is a lot of data, it needs to be organised and targeted in order to get the desired outcomes. Thus there is a lot of scope of data science in the coming future.
Data science is organising and using data to provide forecasts and plans for the future. In almost every area, including banking, finance, insurance, entertainment, telecommunications, and autos, data science offers a wide range of career options.
- Data Scientists
- Data Analysts
- Machine Learning Data engineers
- Data architects
- Data analyst intern
- Data entry clerk
- Entry-level data analyst
- Quality assurance analyst
- Business analyst consultant
- Data quality analyst
But we need a strong skill set and mentorship in order to take advantage of these entry-level opportunities.
Industries Hiring Data Science Professionals
You might be shocked to learn that nowadays, data scientists are employed by practically all types of businesses. The amount of data created by businesses nowadays is enormous, and most organisations now consider it essential to include a data scientist in the mix in order to make sense of the data generated virtually every second.
Although practically all businesses require a data scientist, there are some sectors where data scientists are particularly needed.
- Healthcare
- e-Learning
- Retail
- Defence
- Aerospace
- Hospitality
- Transportation
- Supply Chain
- Banking
- Finance
- Real Estate
- Telecommunication
Skills required for making a career in data science:
- Basic knowledge of programming languages, such as Python, SQL
- Understanding of analytical tools like tableau, Excel, power bi etc.
- Basics of excel
- Pro at machine learning and deep learning
- Good foundation in probability and statistics
Well, the good news is CloudyML has got it all covered. CloudyML is a data science learning platform. The courses on CloudyML are quite reasonably priced and CloudyML reviews are also supporting its quality of content. Lessons begin from only INR 2990. The hands-on guided assignment and learning-by-doing methodology prepare you for the data analytics interview questions.
There are many courses which offer data science course with placement guarantee but ultimately break their promises and your heart. However, CloudyML has developed a job hunting module which prepares you for landing in your dream job. Make the most of your learning by developing many of these data analyst job-ready abilities with CloudyML.
