• SkillEnable

Build a Career in Data Science

Updated: May 6



Data is the fuel of the 21st Century, the demand for data scientists is high, making it a lucrative career option. It enables organizations to automate complex business processes which include extracting, analyzing and presenting raw data by utilizing modern tools and technologies. It is the field of study that combines domain expertise, programming skills, knowledge of mathematics and statistics to extract meaningful insights from data.

Data Science practitioners apply machine learning algorithms to numbers, text, image, video, audio and more to produce artificial intelligence systems to perform tasks that ordinarily require human intelligence.


Data Science Degrees: To analyze and process data, companies need skilled Data Scientists. They upgrade the data by transforming it into useful information for the business. A significant amount of data science work is also related to training in business and human behavior. This ensures more accurate results.



Skills to become a Data Scientist:



Besides a strong grasp of mathematics and statistics, data scientists need to be proficient with sophisticated statistical modeling software, as well as have solid programming skills.

For a career in data science, you will need hard skills. Some of them are mentioned below:


Python: Python, the foremost widespread and adaptable artificial language within the information science field these days, will handle everything from data processing to website development to running embedded systems, all in one unified language.

R programming: Statistical computing and data analysis are common tasks using the R programming language. By combining R's code with attractive data visualizations, data scientists can perform deep statistical analysis quickly and easily.

Hadoop platform: In Hadoop, data scientists can apply simple programming models to large datasets to process them across large groups of computers.


SQL Databases: A relational database uses SQL to extract and organize data. The basic structure of a database is a table with rows and columns. SQL is the language of databases. Data can be retrieved from databases and then used for analysis.


Artificial Intelligence: Using Artificial Intelligence and data science, you can collect, categorize, strategize, analyze, and interpret data. Data science is specialized in developing data-driven solutions, using data visualization techniques, and analyzing big data.


Machine Learning: In addition to helping analyze large amounts of data, machine learning is becoming increasingly popular as a technology that makes data scientists' jobs much easier. As a result of machine learning, many new generic methods have replaced traditional statistical methods for extracting and interpreting data.


Data visualization: Data visualization provides a visual representation of what data means by using maps or graphs. The human mind is, therefore, able to comprehend the data more naturally and can see trends, patterns and outliers in large data set more easily.




Interpersonal Skills required to become a Data Scientist



Communication: The majority of data scientist jobs require excellent communication skills. As a data scientist, you will be expected to have an understanding of business needs or the problem at hand, inquire about more data from stakeholders, and give insight into key findings.

Storytelling: Statistics are useless if teams cannot use them, which is why oral communication and writing skills are crucial, in addition to data visualization and analysis. An effective storyteller communicates analytical solutions in a way that is clear, concise, and to the point.

Collaboration: In order to come up with solutions, you'll need to work with different teams in the organization to understand their needs and then gather feedback from them. In addition to working with fellow data scientists, data architects, and data engineers, depending on your role, you may also have to communicate with them.

Learning: Technology and frameworks in data science are evolving so quickly that it is pointless to try to become an expert in every area. Instead of aiming for perfection, cultivate patience and discipline to learn new things and fast.



Career Opportunities in Data Science:




You'll have many career opportunities available to you once you've mastered these skills.


Data Scientist: By optimizing and improving product development, data scientists develop business analytics and solutions. In addition to generating revenue, they use predictive modeling to improve customer experiences. In addition to implementing models and monitoring outcomes, data scientists work with different functional teams.


Data Analysts: Analyzing database requirements and building database solutions are the tasks of data architects. Data is migrating from legacy systems to new ones, they install and configure information systems.


Data Engineer: Data engineers assemble large and complex data sets. A data extraction, transformation, and loading infrastructure are built after they identify, design, and implement internal process improvements. The data pipeline is also used to build analytics tools.


Data Architect: Analyzing database requirements and building database solutions are the tasks of data architects. Data is migrating from legacy systems to new ones and they install and configure information systems.


Business Analyst: The purpose of a business analyst is to elicit and organize requirements so that the company can plan and monitor the process. By creating informative, actionable and repeatable reports, they verify resource requirements and develop cost estimation models.


Data Administrator: The role of a data administrator is to update existing databases and design new databases as needed. Among their responsibilities are setting up and testing new databases, creating complex queries that enable data extraction, and maintaining the integrity of databases.




For data scientists to master the field, it is imperative to understand and apply the core technologies used in analyzing big data. You will have to gain the knowledge and skills you need to excel in big data and data science.




About the Author:


SkillEnable is India’s Top Data Science Training and Placement Specialist. We aim to increase access to quality education in India. We bring to you specially designed employability-focused courses and make them accessible to all deserving candidates to bridge the gap between people who are looking for a job and companies who are willing to hire the candidate with the right skills.

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