Skills That Will Help You Land A Job In Data Science

Deemed as the “sexiest job of the 21st century” by the Harvard Business School, Data Science is emerging as one of the most in-demand jobs in almost all industries. The scope of data science looks very promising for the many years to come. Therefore, it is safe to say that it could be a wise career choice.

To help you build your career in Data Science, you need to develop a certain skill set. In this article, we provide a comprehensive guide on how to get into a data science career.  We are listing down the skills required to master data science and become a competent professional in this industry. 

Skills Required to Master Data Science

To become an indispensable professional in the data science industry, you need to develop and hone both technical as well as non-technical skills. While technical skills are given more importance than non-technical ones, an industry expert will tell you to give equal attention to both. Without further ado, let us quickly see the technical and non-technical skills required to master data science.  

Technical Skills Required to Master Data Science

1. Data Visualization

Data Visualization is one of the most important skills that a data scientist should possess. It refers to the graphical representation of data and information with the help of visual elements such as graphs, charts, and maps. It helps the management understand the outliers, trends, and patterns of data in a very comprehensive manner. It allows the data analysts to develop a better understanding of a company’s position, communicate key factors to the management and facilitate the decision-making process of the company.

2. Python

Python is a code language that is most widely used in the Data Science industry. It is used for programming, which facilitates all major functions of Data Science. It is used for automating, cleaning, and presenting raw data sets which is essential for designing a  comprehensive and accessible database. 

3. Statistics

The knowledge of statistics is required in Data Science to decipher and process data to achieve the required outcomes. Its function is not just restricted to interpreting data but also includes choosing the right method and approach to evaluate the insights and determine a mathematical solution best suited for your data. 

4. Machine Learning and Artificial Intelligence

Both these skills are almost indispensable for a data science professional. This is the reason why the best data science online course always covers ML and AI in detail. Both these skills are crucial for functions such as predictive modeling, supervised learning etc. Mastering these skills will make your work more efficient and easy to do. 

5. Structured Query Language (SQL)

SQL is a potent data management tool used to access and manipulate data in relational databases. This tool is used by data scientists and analysts to clean, filter, and compile data to form datasets for modeling and analysis. If you enroll in a suitable data science course, it will help you understand SQL in depth. 

Non-technical Skills Required for Data Science

Besides the above-mentioned skills,  you should hone certain non-technical skills to make a career in data science. Among the non-technical skills, the most important is good communication. You should be able to communicate the needs and results effectively to the decision-making authorities. 

Besides that, you should be flexible in working in a team setup. Since the work of a data scientist involves interacting with other team members as well as departments, you should be able to gel up easily. Last but not least, you should also have good storytelling skills to be able to explain the data demands and results efficiently to the management. 

With these skills, you are all set to become a competent data science professional.