A data scientist’s role combines computer science statistics and mathematics, they analyze process and model large sets of structured and unstructured data, then interpret the results to create actionable plans for the companies. So, hello everyone in today’s session, we’re going to see how to become a data scientist quickly!
Reason to be a Data Scientist
Why become a data scientist? The answer can lie in the high salary and demand for this job, according to the job vacancy on LinkedIn, there’s over 76,000 vacant jobs in India for data scientists, and in the American job market there’s over 240,000 jobs.
So data science is definitely a booming industry currently. Since there’s a lot of vacancy, the demand for this job is pretty high though the competition is not that high now. The salary for a data scientist is pretty decent in India, it’s on an average 7 lakh per annum while in the U.S. job market a data scientist can earn around $156,000 per year these data.
The top companies hiring data scientists are: Deloitte, Accenture, TCS, Fractal, Mindtree, Amazon, Citrix, Flipkart, KPMG, and even companies like Sigma, IBM, Linkedin, etc.
What is the job of a Data Scientist?
A data scientist is a big data wrangler who gathers and analyzes large sets of structured and unstructured data. They are analytical experts who utilize their skills in both technology and social science to find trends and manage data.
They use industry knowledge contextual understandings skepticism of existing assumptions to uncover solutions to business challenges. A data scientist’s work typically involves making sense of messy unstructured data from sources such as smart devices social media feeds and emails that doesn’t neatly fit into a database.
Programming Languages and Tools required to be a Data Scientist
The requirement for a data scientist job requires are in Python, R and Power BI for business intelligence tools and for data frameworks Hadoop and Hive, Apache Spark and for etl tools like SQL, Alteryx ads etc. and dependencies of python such as pandas, numpy, kit learn etc.
Roles and responsibilities of a Data Scientist
The roles and responsibilities of a Data Scientist are mostly to transform data into tangible business value by analyzing information and collaborating on product development. They also require to represent a scientific role where the plans to implements and assess high level statistical models and strategize for application.
- They are also required to perform a vital role in advancement of innovative strategies to understand the business consumer trends and management.
- A data scientist also performs related tasks and tasks assigned by senior data scientist, head of data science, chief data officer or even the employer.
- They take leadership to explore different technologies and tools with a vision of creating innovative data driven insights for the business.
- They are also required to collaborate with superior data scientists to communicate obstacles and finding to relevant stakeholders.
What should I study to be a Data Scientist?
Roadmap to become a data scientist involves choosing a programming language to learn that can be R or Python, then learn statistics and probability to understand statistical tools to work with. They also need to have a hands-on experience in SQL to retrieve data and a knowledge of deep learning and exploratory data analysis and machine learning algorithms.