Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and actionable insights from noisy, structured, and unstructured data, and then applies that knowledge and actionable insights across a wide range of application domains. A Data Scientist is someone who studies data science. Data scientists are big data wranglers who collect and analyze massive amounts of structured and unstructured data.
A data scientist’s job combines computer science, statistics, and mathematics. They analyze, process, and model data before interpreting the results in order to create actionable plans for businesses and other organizations. Data scientists use statistical and mathematical techniques, as well as computing, to analyze raw data. This may entail filtering and processing data to arrive at meaningful interpretations and conclusions, as well as developing solutions.
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The requirements to become a Data Scientist are as follows:
A master’s or doctoral degree in applied mathematics or statistics.
5+ years of experience in the industry
Extensive training in machine learning and programming.
Hands-on experience with data visualization tools.
Data querying languages, as well as statistical or mathematical software, are required.
The responsibilities of a Data Scientist are as follows:
Holding project-related meetings with team members.
Data collection and interpretation.
Automation and integration of processes.
Investigating solutions to data analytics challenges.
Developing complex mathematical models that include business rules and requirements.
Average salary:
The average annual salary for a data scientist is Rs. 698,412 per annum. An entry-level data scientist with less than a year of experience can expect to earn approximately Rs. 500,000 per year. Data scientists with 1 to 4 years of experience can expect to make approximately Rs. 610,811 per year.
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E-Accounting & Banking | बैंक में नौकरी के लिए कंप्यूटर का ये कोर्स करें
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Project Work - Portfolio and Strategy For JOB | कोर्स के बाद JOB पाने के लिए ये जरूर करें | How to Get Job
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कौन सा Course बेहतर है, पॉलिटेक्निक या ITI | Polytechnic vs. ITI courses
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कभी भी Interview Call आये तो कंपनी की जानकारी कैसे ले | Online Job Interview call | Interview Preparation
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कम फीस में GRAPHIC DESIGNER बनने के लिए ये कोर्स करे | Graphic Designing Course | DTP Course
Some of the other job sectors after learning Data Science are as follows:
1. Data analyst
Data analyst: A data analyst gathers and stores information about sales figures, market research, logistics, linguistics, and other behaviors. They bring technical expertise to ensure the data’s quality and accuracy before processing, designing and presenting it in ways that help people, businesses, and organizations make better decisions.
Requirements for a Data Analyst:
A bachelor’s degree in computer science from a university or college that is accredited.
Previous work as a data analyst or in a field related to data analysis.
The ability to work collaboratively with stakeholders to assess potential risks.
The ability to analyze and recommend software solutions based on existing tools and databases.
The ability to communicate business requirements in non-technical, lay language.
The responsibilities of a data analyst are as follows:
Management of master data, including creation, updates, and deletion.
User and role administration.
Ensure the quality of imported data, collaborating as needed with quality assurance analysts.
Data set commissioning and decommissioning.
Adherence to guidelines when handling confidential data and information.
Average salary:
An entry-level Data Analyst in India earns an annual salary of Rs. 325,616. The average salary for a mid-level Data Analyst in India is Rs. 635,379 per year. An experienced Data Analyst earns an annual salary of Rs. 852,516 in India.
2. Data engineer
Data engineer: Data engineers construct frameworks that prepare information for use by data scientists using a variety of tools and techniques. Python, Java, R, and C++ are some of the most commonly used coding languages among data engineers.
Requirements for a Data Engineer:
You must have a bachelor’s degree in data engineering, big data analytics, computer engineering, or a closely related field.
It is preferable to have a master’s degree in a relevant field.
Proven experience as a data engineer, software developer, or other comparable position.
Thorough understanding of Python, C++, Java, R, and SQL.
Working knowledge of Hadoop or an equivalent is required.
The responsibilities of a Data Engineer are as follows:
Communicate with coworkers and clients to clarify task requirements.
Creating and conceptualizing infrastructure for accessing and analyzing large amounts of data.
Improving the performance of existing frameworks through restructuring.
Putting such structures through rigorous testing to ensure their suitability for use.
Preparing raw data for manipulation by data scientists.
Average salary:
The average salary for a Data Engineer in India is 8.6 Lakhs per year (71.7k per month).
3. Database administrator
Database administrator: Database administrators are in charge of managing and maintaining company databases. Database administrators are in charge of enforcing a data management policy as well as ensuring that company databases are operational and backed up in the event of memory loss.
Requirements for a Database Administrator:
A bachelor’s degree in computer science or a closely related field is required.
It is advantageous to have advanced certification as an MCDBA or MCSD for.NET.
A minimum of three years of experience as a database administrator is required.
Data manipulation language proficiency, such as MS SQL, Oracle Database, Hadoop, and more.
Analytical mindset and problem-solving skills.
Responsibilities of a Database Administrator:
Monitoring system performance and identifying potential problems.
Responding to user-reported errors in a timely manner.
Keeping the database safe from threats or unauthorized access.
Ensure that the database is adequately backed up and recoverable in the event of memory loss.
Metrics reporting on usage and performance.
Average salary:
Database Administrator DBA salaries in India range from 5.0 Lakhs to 21.2 Lakhs per year, with an average annual salary of 10.1 Lakhs.
4. Machine learning engineer
Machine learning engineer: Machine learning engineers create AI software that runs on its own to automate predictive models for recommended searches, virtual assistants, translation apps, chatbots, and driverless cars. They create machine learning systems, use algorithms to generate accurate predictions, and troubleshoot data set issues.
The requirements for becoming a Machine Learning Engineer are as follows:
A bachelor’s degree in computer science, data science, mathematics, or a closely related field is required.
A master’s degree in computational linguistics, data analytics, or a related field is preferred.
A minimum of two years of experience as a machine learning engineer.
Advanced code writing skills in Python, Java, and R.
Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture.
Responsibilities of a Machine Learning Engineer:
Working with managers to define and refine machine learning goals.
Creating self-running machine learning systems and artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and implementing appropriate machine learning algorithms and tools
Ensure that algorithms produce accurate user recommendations.
Using image auto-tagging and text-to-speech conversions, we can turn unstructured data into useful information.
Average salary:
In India, the national average salary for a Machine Learning Engineer is 8,98,509 per year.
Top Data Science Colleges in India:
| College Name | Fees for Data Science Course |
| Loyola College (Chennai) | 50,370 RS. |
| Madras Christian College (Chennai) | 24,500 RS. |
| Fergusson College (Pune) | 33,405 RS. |
| Christ University (Bangalore) | 1,05,000 RS. |
Note: The fees details given in the above table may change according to the location and University regulations.
Some of the online websites for learning Data Science are as follows:
UpGrad (https://www.upgrad.com/)
Udemy (https://www.udemy.com/)
Oxfordhomestudy (https://www.oxfordhomestudy.com/)
Class central (https://www.classcentral.com/)
Alison (https://www.alison.com/)
Asian college often teacher (https://www.asiancollegeofteachers.com/)
- Great Learning: https://www.mygreatlearning.com/
Conclusion:
In the above article we have learned about various job profiles after studying Data Science course. We have also learned about top colleges in India providing Data Science course and their course fees. Data Science is a hot topic in the technology world right now, and for good reason: it represents a significant advancement in how computers can learn. The demand for Data Scientists is high, owing to evolving technology and the generation of massive amounts of data, referred to as Big Data.
Conclusion:
In the above article we have learned about various job profiles after studying Data Science course. We have also learned about top colleges in India providing Data Science course and their course fees. Data Science is a hot topic in the technology world right now, and for good reason: it represents a significant advancement in how computers can learn. The demand for Data Scientists is high, owing to evolving technology and the generation of massive amounts of data, referred to as Big Data.
Data Science FAQs
Data analysis is useful for answering questions based on existing data. Data science focuses on the questions that should be asked in order to identify potential trends.
No, Data Science and Data Analytics are not the same thing. While Data Science is concerned with discovering meaningful correlations between large datasets, Data Analytics is concerned with elucidating the specifics of extracted insights.
Data Science is a broad term that includes Data Analytics and Big Data. Data Analytics is a subset of Data Science that focuses on more specific answers to the questions raised by Data Science.
A data analyst and a data scientist have similar backgrounds. Both courses provide students with a solid understanding of mathematics and statistical analysis, but a data scientist is capable of better modelling and prediction. Data Analysts can advance to Data Scientists by taking the appropriate course.
Data Science is in high demand. Data Scientists are expected to be in higher demand than the average software engineer in India.
The average annual salary for a data scientist (fresher) in India is Rs 8 lakh. Salary varies according to skills, company, and location, and it rises with experience in the field.
IIIT Bangalore, in collaboration with UpGrad, offers an 11-month Post Graduate Diploma in Data Science for INR 2.25 Lakhs.
Some of the best places to learn about Data Science are Coursera, Udemy, edX, and Google.
Hi, I Surendra Gusain founder-director DOTNET Institute with 21-year experience in computer training and 3+year experience in digital marketing as a YouTuber, Blogger, and Trainer or coach.
