Data science is becoming more prevalent today as companies look to improve their operations and make informed decisions. Data scientists help businesses make better decisions by analyzing and communicating their results. It is commonly used in the business world to develop strategies and improve the efficiency of operations. In other arenas, it’s used to gather data to inform public policy and medical decisions.
The following are some of the key topics that you can expect to study in this advanced degree program:
- Practical Machine Learning
- Applied Statistics
- Database Systems and Data Preparation
Careers in Data Science–
1. Data Architect and Administrators
Data architects are experts in the design and implementation of data management systems. They work closely with data engineers to understand the various components of an organization’s data management framework. They then create new strategies and improve the performance of existing ones. You can pursue a STEM Degree from the USA to get into data architecture.
Average Salary: US$121,606 per year
2. Data Engineer
Data engineers are experts in handling and processing large volumes of real-time data. They work on maintaining and improving the infrastructure for large data sets and pipelines. They use various programming languages such as Python and SQL to build and maintain the systems.
Average Salary: US$1,14,353 per year
3. Data Analyst
Data scientists typically start their careers as data engineers or data analysts. They work with various teams to analyze and visualize the data they collect. They also help develop strategies by researching and reporting on the data.
Average Salary: US $61,841 per year
4. Data Scientist
Data scientists are experts at analyzing and reporting data to develop strategies and solutions for real-world business problems. Their insights can help the C-Suite make better decisions.
Average Salary: US$1,09,257 per year
5. Machine Engineer Learning
A machine learning engineer is a unique combination of data science and software engineering. This role combines data science and engineering to create systems that handle big data. Usually, candidates with specialized expertise in machine learning will be hired in senior positions.
Average Salary: US$1,18,948 per year
6. Statisticians and Mathematicians
Prominently working in various government and healthcare organizations, statisticians help organizations make better decisions by analyzing and reporting on data.
Average Salary: US $93,290 per year
7. Business Analyst
Business analysts are tasked with analyzing and recommending strategies for improving a company’s performance. They also look for opportunities to enhance their understanding of the markets and industry trends.
Average Salary: US$93,543 per year
8. Marketing Analyst
Identifying and analyzing new buying trends is a vital part of a market analyst’s job. With the vast amount of data they have access to, marketing experts can create effective marketing campaigns and solutions.
Average Salary: US$66,648 per year
TIPS for pursuing Data Science
1. Pick the right role
There are a lot of roles in the data science industry, and choosing which one is right for you will depend on your background and work experience. For instance, if you’re a data developer, working in data engineering may be easier than choosing another job.
2. Pick the right tool
Getting an end-to-end experience is very important for learning a new topic. There are so many factors to choose the right language and tool for your project.
Most of the time, people start by choosing the mainstream tools that are already available. However, it is also important that they understand the concept of data science. There are various guides and discussions online that address this topic. They suggest that people start with the simplest of tools or the one they are most familiar with. Once they grasp the concepts, they should then switch to the more advanced tools.
Data science is a rapidly growing career option that individuals with various backgrounds can utilize. It can be done through online programs designed to train people in data science.
Abhyank Srinet is a passionate digital entrepreneur who holds a Masters in Management degree from ESCP Europe. He started his first company while he was still studying at ESCP, and managed to scale it up by 400% in just 2 years.
Being a B-School Alumni, he recognized the need for a one-stop solution for B-School to get in touch with schools and get their application queries resolved. This prompted him to create MiM-Essay, a one-of-a-kind portal with cutting-edge profile evaluation and school selection algorithms, along with several avenues to stay informed about the latest B-School Updates.