How to Become a Data Scientist in 2023
A career after completing a data scientist course is a prosperous one not only because it’s high in demand but it is also a versatile field and offers high paychecks. Regarded as the fastest-growing and evolving profession in the 21st century with huge career opportunities and popularity in the marketplace.
Are you wondering about “how to become a data scientist after 12th”? Read this blog that gives you all the information about the huge demand and wider scope of data science.
What is Data Scientist?
Before we go any deeper into the topic first, let’s talk about the MCs of the modern world. Known as “Data Scientists”. They hold great knowledge of statistics, math, and computer science. They have great skills in using various tools, techniques, and algorithms to analyze data and interpret it to make predictions, draw conclusions, and solve complex problems. Another Data scientists are also responsible for building predictive models and machine learning systems that can be used to make decisions based on the gathered data.
Data Scientist Skills: Technical
- Programming
- Data Visualization
- Machine Learning
- Data Wrangling
- Statistics
- Big Data
- Artificial Intelligence
- Database Technologies
- Data Warehousing
- Business Intelligence
Data Scientist Skills: Non-technical
- Communication Skills
- Business Acumen
- Problem-Solving Skills
- Analytical Thinking
- Time Management
- Interpersonal Skills
- Project Management
- Leadership
- Creativity
- Data Visualization
Why is Data Science getting popular?
With the development and advancement in technology, big sets of data are rising heavily which is accessible to human society. It is expected that by the year 2025 the volume of global data will reach 180 zettabytes. Every industry has recognised the importance of data for example automotive industry, BFSI, and the Media&Entertainment industry. More and more companies are opening their arms to collect a large amount of data and to further use its potential to rise business. These reasons have made data scientists one of the essentials of a company. As said by Geoffrey Moore “Without big data analytics companies are blind and deaf, wandering out on the web like dear on a freeway”.
Demand for Data Scientists in India
In the “Humans of Data Science” report by Michael Page a Jobs and Recruitment Agency, it is revealed that data science will create 11.5 million job opportunities by 2026. India ranks second after the USA in generating the most data scientist job opportunities. Some of the top-tier and famous data scientists in India are Anand S. Anand, Chandra Mouli Kotta Kota, Hindol Basu, Joy Mustafi and Nilesh Karnik. Now you might be aware that there is a huge scope of Data science in India.
How to Become a Data Scientist
If big sets of data mind-boggle you then becoming a data scientist is your destiny. K.R. Mangalam University offers you two data scientist courses that will build all the necessary technical and non-technical skills. Below is the data scientist course you can pursue (Click the link for more information):
Top Hiring Companies for Data Scientist In India
- IBM
- Citrix
- Wipro
- Amazon
- Splunk
- Accenture
- Deloitte
- Flipkart
- Cloudera
- Numerator
Data Scientist Jobs
After completing a data science course you have ample amount of job opportunities. As I have told you about the ongoing advancement for the future which will eventually open more career opportunities. Also, Data science is a competitive field that demands a lot of hours and effort to rise above. Below are the Data Scientist Jobs you can choose after earning a degree.
- Data Scientist
- Database Administrator
- Process Analyst
- Machine Learning Engineer
- Data Collector
- Data Solutions Analyst
- Web and Social media analysts
- Data Mining Engineer
- Data Architect
Data Scientist Salary
The average salary of a Data Scientist in India is around INR 6-9 lakhs per annum as of 2020. With the increasing demand for data science professionals, salaries are expected to grow in the coming years. The salary can vary depending on the sector you are working in and also the years of experience.
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