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Data Science course can be opted as BTech/ BSc/ MSc/ MTech/ PGD specialisation. This course covers topics like programming (often Python), statistics, machine learning, data visualisation, etc. The duration of the course is usually 2-4 years depending on program.
Data Science Course Overview
Data science incorporates math and statistics, advanced analytics, specialized programming, artificial intelligence (AI), and machine learning with specific subject matter expertise to unveil actionable insights hidden in an organization's data. The discipline employs refined machine learning algorithms to develop predictive models. Data Science Admission 2024 can be done through courses at the bachelors and masters levels. Candidates willing to take admission to data science courses need to have a basic knowledge of Statistics & Mathematics. Undergraduate data science courses require candidates to score more than 50% marks in class 12 exams with a subject combination of Maths, Statistics, or Computer Science as the core subject.
Data Science Course Fee ranges from INR 20,000 to 5,00,000. Some of the top institutes offering Data Science Courses are Praxis Business School, IIIT Bangalore, KL University, Manipal University, K J Somaiya Institute of Management, BITS Pilani, IIT Guwahati, etc. After the conclusion of the data science course, candidates are offered Data Science Jobs as Data Scientists, Data Analysts, Applications Architects, Machine Learning Scientists, etc. The major recruiters hiring data science candidates are Amazon, Flipkart, Cognizant, Wipro, HCL, etc. The average Data Science Salary ranges from INR 3,00,000 to 8,00,000 per annum.
Quick Facts on Data Science:
- Data science applications have proved to be highly advantageous in the healthcare industry. They are utilized for various purposes, including medical image analysis, genomics and genetics, pharmaceutical research and development, bots for health, and virtual assistants.
- Data Science Courses can be pursued online, or offline modes.
- Data Science is a field that uses various methods to understand and analyze real-world events with data.
- Data Science combines ideas, data examination, and machine learning techniques.
- Data Science Syllabus covers concepts from other computer science fields such as statistics, mathematics, and information science.
- Some of the techniques used in Data Science are machine learning, visualization, pattern recognition, probability modeling, data engineering, and signal processing.
Also Check- How to Become a Data Scientist in 2024?
Table of Contents
- Data Science Course Overview
- Data Science Course Highlights
- Why Choose Data Science Course?
- Data Science Eligibility Criteria
- Data Science Entrance Exams
- List of Popular Data Science Specializations
- Data Science Admission Process in India
- Data Science Fees in India
- Data Science Syllabus and Subjects
- Top Data Science Colleges in India (Course Wise - Private/Government)
- Top Data Science Colleges Offering Direct Admission in India
- What is the Need for Data Science?
- What is the Difference Between Data Science and Data Analyst?
- What is an Online Data Science Degree?
- Data Science Upcoming Trends
- Career Options and Job Prospects After Data Science
- Data Science v/s Data Scientist
- Data Science V/S Business Intelligence
- What are Popular Tools Used in Data Science?
- FAQs about DS Courses
Data Science Course Highlights
The table below shows the highlights of the Data Science course explaining the admission process, eligibility criteria, and duration of the program. After the completion of the data science course, what are the available job profiles, where the candidates will be working are also highlighted with other details.
| Particulars | Details |
|---|---|
| Name of the Course | Data Science Course |
| Admission Process | Entrance exam-based and merit-based |
| Eligibility Criteria |
|
| Duration of programs |
|
| Job Profiles | Data Scientist, Data Analyst, Applications Architect, Machine Learning Scientist, Enterprise Architect, Data Architect |
| Major Recruiters | Amazon, Flipkart, Cognizant, Wipro, HCL, Dell, IBM India, Infosys, etc. |
| Data Science Institutes | Praxis Business School, Symbiosis Center for Distance Learning, KL University, BS Abdur Rahman Institute of Science and Technology, etc. |
| Average Annual Course Fee (In Indian Rupees) |
|
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Why Choose Data Science Course?
Data science courses have been demanded by most undergraduate aspirants across India. Here are why a data science course is demanded and chosen as the best course for higher studies.
Limited number of applicants
Very few people out there acquire the required skills to become a data scientist. When analyzed it can be easily calculated through the statistics of India that, the demand for data science is higher than the supply of the data scientists.
Market base
Data science experts are highly in demand. The opportunities are numerous for job seekers. It is one of the fastest-growing jobs globally offering 11.5 million jobs by 2026. Thus, globally, data science is the highest employable sector.
Lucrative salary
Data scientists are one of the highest-paid professionals. According to recent research, it is calculated that the earnings are approximately INR 20 LPA.
Usage and visibility
The applications of data science are huge. The usage of data science is seen in consultancy services, banking, health care, and e-commerce industries. Therefore, there is abundance and versatility in jobs as data scientists.
Reputation
Data science is highly prestigious to work in. They help companies to make smarter decisions in business. Companies depend on data scientists to make decisions that will benefit their clients.
Personal growth and achievement
Data scientists are not only useful for companies but also for themselves and their families. Data science helps not only in building a career but also in personal growth by making wiser decisions and building up a problem-solving attitude.
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Also Check - BE/BTech Admission Process 2024
Data Science Eligibility Criteria
The table below shows the eligibility criteria of various domains that offer data science courses such as BSc data science, BTech data science, MSc data science, MTech in data science, and postgraduate diploma in data science.
| Courses | Eligibility Criteria for Data Science |
|---|---|
| BSc Data in Science | Students who have qualified Class 12th and studied Physics, Chemistry, and Mathematics or Computer Science or Statistics from a recognized Board or equivalent are eligible for BSc Data in Science |
| BTech in Data Science | Students who have qualified Class 12th with a 70% aggregate in the Science stream and who have studied the Physics, Chemistry, and Mathematics group compulsorily and with a minimum aggregate score of 50% in Mathematics are eligible for BTech in Data Science |
| MSc in Data Science |
|
| MTech in Data Science | Students who have qualified BE or BTech degree with a minimum overall aggregate score of 50% from a recognized university are eligible for MTech in Data Science |
| Post Graduate Diploma in Data Science | Students who have qualified BTech or BE or MTech or MCA or MSc degree with a constricted knowledge in statistics or computer programming from a recognized university are eligible for Post Graduate Diploma in Data Science |
Required Skills in Data Science
To succeed in a Data Science course, there are several important skills that one must have.
- These include a good understanding of calculus and mathematics, programming knowledge, statistical knowledge, and interpersonal and communication skills.
- Understanding calculus, graphs, and linear algebraic equations is very important because they are the basis of data science. Having good knowledge of mathematics is also essential because problem-solving is the main skill required for data scientists. Recruiters may ask candidates to solve difficult problems on the spot, so having good mathematics skills is very important.
- Programming skills are also crucial for data scientists. Candidates must be proficient in programming languages such as JAVA, Python, and machine learning. Since data science is all about problem-solving, having good programming skills is an added advantage for candidates throughout their careers.
- Statistics is also an important skill for data scientists. Candidates must be familiar with various statistical distributions, graphs, charts, and other numerical tools.
- Lastly, having good communication and interpersonal skills is essential. Candidates must be proficient in communicating effectively because all the above skills are dependent on communication. If candidates are unable to express their views and thoughts, they will not be able to succeed in data science. Therefore, candidates must focus on mastering communication skills along with mathematics, programming, and statistics.
Data Science Entrance Exams
There are various entrance exams in India for data science, depending on the level of Undergraduate, or Postgraduate. All of them have been listed below.
Undergraduate-level entrance exams
B.Sc./BTech in data science is relevant to subjects like statistics, computer science, and physical science. Below are the entrance exams at the undergraduate level for admissions in data science.
- SSU CET- This entrance exam is organized by Sri Sri University for admissions to the B.Sc. data science course.
- AMET CET- This common entrance exam is conducted by the Academy of Maritime Education and Training (AMET) University for admissions in data science.
- Jain University Entrance Test- This entrance exam is conducted by Jain University, Bangalore for admissions in data science.
There are other entrance exams conducted by various other institutes with their guidelines.
Postgraduate-level entrance exams
Many institutes in India provide M.Sc./MTech in data science with specializations. For admission to these institutes, candidates will have to crack these data science entrance exams. Below are some of the common entrance exams that are accepted for admissions in data science.
- CUET- This entrance exam is conducted by Christ University for admissions to Masters in Data Science.
- NIMSEE- This entrance exam is a national-level entrance exam conducted by NIMS University every year in offline mode.
- CUCET- This entrance exam is conducted by central universities across the country.
- JNUEE- This entrance exam is conducted by Jawaharlal Nehru University for admission in data science.
Also Check - List of Engineering Colleges Accepting CUET Scores in India
List of Popular Data Science Specializations
Data Science Specialization is available in part-time as well as full-time courses. Data science Specialization enables candidates to build the skills needed to help their organization succeed. Some of them have been discussed below.
| Data Science Specialization | Skills Required | Possible Career |
|---|---|---|
| Business Analytics and Intelligence |
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| Data Science With a Computational Track |
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| Data Engineering and Warehousing |
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| Database Management and Architecture |
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| Data Mining and Statistical Analysis |
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| Machine Learning |
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| Managerial Data Science |
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Data Science Admission Process in India
The Data Science Admission Process in India is not the same but varies from course to course. The main criteria on which the admissions are done for data science courses is through the entrance exam and the other by marks of the last exam. The table below will highlight the admission highlights for various data sciences courses in India.
| Degree | Admission Highlights |
|---|---|
| BTech |
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| MTech |
|
| BSc |
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| MSc | Institutes offer admission in MSc to the applicants based on marks of the previous qualified exam |
| Post Graduate Diploma in Data Science | Institutes offer admission to Post Graduate Diploma in Data Science to the applicants based on marks of the previous qualified exam |
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Data Science Fees in India
The data science course fees have been categorized into minimum and maximum fees whether further it is subdivided into private fees and government fees.
| . | Minimum fee in INR | Maximum fee in INR | ||
|---|---|---|---|---|
| . | Government fee | Private fee | Government fee | Private fee |
| Undergraduate | 37,800 | 97,800 | 35,64,000 | 8,39,000 |
| Postgraduate | 15,000 | 9,020 | 12,98,000 | 2,28,000 |
| Doctoral | 5,40,000 | 3,81,000 | 5,04,000 | 6,42,000 |
| Diploma | 45,000 | 60,000 | 45,000 | 2,60,000 |
Also Read - Data Science Course Fees
Data Science Syllabus and Subjects
Candidates who opt for Data Science as a careers option have to study a wide variety of subjects. Some of the major subjects that are included syllabus of data science course are given below. The same may vary according to institutes offering this course.
Data Science Subjects | |
|---|---|
| Introduction to Data Science | Statistics and Mathematics |
| Domain Expertise | Data Analysation |
| Data Visualisation | Scientific Computation |
| Experimentation, Evaluation, and Project Deployment Tools | Exploratory Analysis |
| Matrix computations | Statistical foundation for data science |
| Coding | Machine learning Algorithms |
| Data wrangling | Data structures and Algorithms |
| Optimisation techniques | Scholastic model |
| Predictive analysis and segmentation using data clustering | Business Acumen and artificial Intelligence |
Top Data Science Colleges in India (Course Wise - Private/Government)
The Data Science top colleges in India can be categorized based on the courses which include, postgraduate courses in diplomas, masters, and bachelors. Below is the list of the top universities rendering data science courses all over India. These courses can be oped after class 11th for attaining a professional data science degree in India
Top Data Science Colleges for Diploma
The tenure of Data science for diploma courses usually ranges from 6 months to 1 year. Diploma courses are for students who do not want to waste time after their 10th and 12th in long-term courses. For acquiring diploma courses in data science, aspirants need to have a bachelor’s degree in science/ business administration/ engineering/ commerce/ mathematics/ computer applications or a master’s degree in mathematics/ science/ commerce with at least 50% or equivalent marks for applying into postgraduate or diploma data science courses. Below are the names of the colleges along with fee structures that provide data science courses in postgraduate or diploma.
| Course | Data science colleges | Data science fees |
|---|---|---|
Diploma or PGDM | Praxis Business School, Kolkata | INR 5,95,000 |
| IIIT Bangalore | INR 2,25,000 | |
| Symbiosis Center for Distance Learning, Pune | INR 1,200 | |
| MUIT Noida | INR 50,000 | |
| Gujarat Technological University | INR 12.500 | |
| MAHE Manipal and Jigsaw Academy | INR 4,95,000 | |
| IIIT Delhi | INR 2,50,000 | |
| NIELIT Chennai | INR 21,000 |
Also Check - List of GFTI Colleges in India
Top Data Science Colleges for Bachelors
Bachelor’s in data science are available in science and engineering domains. The tenure of a bachelor’s course in data science ranges from 3 to 4 years. Data science at the undergraduate level is offered with machine learning and data analytics. Admissions to engineering courses are strictly done through entrance exams like JEE Main and JEE Advanced while BCA admissions are done on a merit basis of class 12. Candidates must have 50% aggregate marks and 60% marks for institutes like IIT. Below are the names of the colleges along with fee structures that provide data science courses for undergraduate degrees.
| Courses (bachelor’s) | Data science colleges | Data science fees |
|---|---|---|
BCA Data Science | Poornima University | INR 3,19,000 |
| Vivekananda Global University | INR 3,22,000 | |
| VELS Chennai | INR 3,08,000 | |
| BS Abdur Rahman Institute of Science and Technology | INR 2,55,000 | |
| KL University | INR 1,20,000 | |
BSc Data Science | Navrachana University | INR 3,00,000 |
| SRIHER Chennai | INR 2,25,000 | |
| NIMAS Kolkata | INR 1,33,000 | |
| KR Mangalam University | INR 3,09,000 | |
| MRIIRS, Faridabad | INR 3,78,000 | |
| Bachelor of Data Science | SP Jain school of global management, Mumbai | INR 40,00,000 |
Top Data Science Colleges for Master’s
Mater’s in Data science is pursued after pursuing a bachelor’s in data science. Some popular courses like MSC/ MBA/ MTech/ MCA offer master’s degrees in data science. Below are the names of the colleges along with fee structures that provide data science courses for master’s degrees.
| Courses | Data Science colleges | Data science fees |
|---|---|---|
MSc Data science course | VIT University | INR 1,62,000 |
| Christ University | INR 1,80,000 | |
| Annamalai University | INR 74,000 | |
| Manipal University | INR 3,00,000 | |
| Fergusson University | INR 1.20,000 | |
| Loyola University | INR 1,71,000 | |
| MKRV College for Women | INR 1,40,000 | |
| Sastra University | INR 1,40,000 | |
| Chandigarh University | INR 1,20,000 | |
| GITAM University | INR 2,00,000 | |
| MSc Data Science and Analytics | Jain University, Bangalore | INR 2,06,000 |
| MBA in Data Science and Analytics | SCIT Pune | INR 13,65,000 |
| K J Somaiya Institute of Management | INR 7,82,000 (1st year) | |
MTech in Data science | BITS Pilani | INR 60,000 |
| IIT Hyderabad | INR 9,00,000 | |
| IIT Guwahati | INR 3,08,000 | |
| Amrita Vishwa Vidyapeetham | NA | |
| Sharda University, Greater Noida | INR 95,850 (1st year) | |
| IPU New Delhi | INR 1,20,000 | |
| MCA in Data science | Hindustan University, Chennai | INR 2,50,000 |
| LNCT University, Bhopal | NA |
Also Check - NIT Placements 2024
Top Private Data Science Colleges in India
Some of the top private colleges offering data science courses have been listed below along with their NIRF ranking 2023.
| Government Data Science Colleges | NIRF Ranking 2023 |
|---|---|
| Birla Institute of Technology and Science (BITS), Pilani | 25 |
| VIT Vellore - Vellore Institute of Technology | 11 |
| SRM University Chennai - SRM Institute of Science and Technology | 28 |
| International Institute of Information Technology Bangalore | 74 |
Top Government Data Science Colleges in India
Some of the top public colleges offering data science courses have been listed below along with their NIRF ranking 2023.
| Government Data Science Colleges | NIRF Ranking 2023 |
|---|---|
| Indian Institute of Technology (IIT), Kharagpur | 6 |
| Indian Institute of Technology (IIT), Delhi | 2 |
| Indian Institute of Technology (IIT), Bombay | 3 |
| NIT Trichy | 4 |
| Indian Institute of Technology (IIT), Madras | 1 |
Also Check -List of NIT Colleges in India 2024
Top Data Science Colleges Offering Direct Admission in India
Several colleges offer direct admission to candidates willing to pursue Data Science Courses in India. Some of them have been listed below.
1. Indian Institute of Technology (IIT), Delhi
2. Indian Institute of Technology (IIT), Bombay
3. Indian Institute of Technology (IIT), Kharagpur
4. Indian Institute of Technology (IIT), Kanpur
5. Indian Institute of Technology (IIT), Madras
6. Indian Institute of Technology Guwahati (IIT Guwahati)
7. Indian Institute of Technology (IIT), Roorkee
8. Indian Institute of Science (IISc), Bangalore
9. Delhi Technological University (DTU), Delhi
10. International Institute of Information Technology (IIIT), Hyderabad
What is the Need for Data Science?
Data Science is one of the most important professions in today’s world with an influence of around 85% on the overall market performance. The importance of data science is constantly growing. We have discussed the requirements of data science in the following resources.
- First, companies rely on customer insights to stay ahead of the competition, and data science is key to unlocking that information. Through data mining and organizing, companies can better understand user needs and interests.
- Second, data science is being used to manage unstructured and unstructured data, saving time and increasing productivity.
- Third, it helps companies identify their goals and work towards them. Through predictive analytics based on behavioral patterns, companies can also predict future trends and stay ahead of the game.
- Finally, data science can help organizations hire the best talent for their teams. It simplifies the recruitment process by nominating forums and helps you find the right candidates faster.
- Overall, data science is a game-changer for businesses, and it’s exciting to see how it will continue to shape the future.
Also Check - NIT vs IIIT
What is the Difference Between Data Science and Data Analyst?
The basic difference between a data scientist and a data analyst is that the goal of the data scientist is to ask for the right decisions whereas the goal of the data analyst is to find actionable data. Data analytics include exploratory data analysis and confirmatory data analysis. The former aims in finding patterns and relationships between the given data and the latter whether the hypothesis about the data set given is true or false.
There are two forms of data analysis; one is quantitative data analysis and the other is qualitative data analysis. The quantitative data analysis portrays the analysis of numerical data that can be statistically compared, on the other hand, the qualitative data analysis is interpretive, hence, it concludes non-numerical data.
Below are the detailed differences that have been made forward for the students to understand the basic differences between a data scientist and a data analyst.
| Parameter | Data Analytics | Data Science |
|---|---|---|
| Goal | To find actionable data | To ask for the right question |
| Scope | Macro | Micro |
| Skills required |
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| Major industries |
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Also Check- Data Analyst vs. Data Scientist
What is an Online Data Science Degree?
An online data science degree is a program that can be completed through online platforms and distance learning. Data science is a field that uses many different methods to learn from structured and unstructured data. Online data science degrees teach students how to work with large amounts of data, solve complex problems, and make important decisions based on data. These programs teach topics like programming languages (like Python and R), statistics, machine learning, data visualization, and database management. The demand for online data science courses is increasing day by day. An online data science course can help candidates upskill themselves before entering the industry. Some of the top data science online certificate course providers are Udemy, Coursera, edX, Simplilearn, Great Learning, etc. We have mentioned the Best Online Data Science Courses in 2024 in the following headers.
Best Data Science Courses by Coursera
Some of the best data science courses by Coursera have been listed in the table below.
| Data Science Courses Name | Data Science Courses Duration |
|---|---|
| Executive Data Science Specialization | 2 months (6 hours/week) |
| Practical Data Science Specialization | 3 months (5 hours/week) |
| Introduction to Data Science Specialization | 4 months (3 hours/week) |
| Data Science: Foundations using R Specialization | 5 months (8 hours/week) |
| Applied Data Science with Python Specialization | 5 months (7 hours/week) |
| Data Science Fundamentals with Python and SQL Specialization | 6 months (3 hours/week) |
| Google Data Analytics Professional Certificate | 6 months (10 hours/week) |
| Data Science: Statistics and Machine Learning Specialization | 6 months (6 hours/week) |
| IBM Data Science Professional Certificate | 11 months (3 hours/week) |
| Data Science Specialization | 11 months (7 hours/week) |
Best Data Science Courses on edX
Some of the best data science courses by edX have been listed in the table below.
| Data Science Courses Name | Course Provider | Data Science Course Fee |
|---|---|---|
| Data Science: Machine Learning | Harvard University | Free |
| Python Basics for Data Science | IBM | Free |
| Data Science: R Basics | Harvard University | Free |
| Professional Certificate in Python Data Science | IBM | INR 42,247 |
| Professional Certificate in Foundations of Data Science | University of California, Berkeley | INR 49,022 |
| Professional Certificate in IBM Data Science | IBM | INR 71,393 |
| Professional Certificate in Data Science | Harvard University | INR 72, 939 |
| MicroMasters Program in Statistics and Data Science | Massachusetts Institute of Technology | INR 1,10,402 |
Also Check -List of NIT Colleges in India 2024
Best Data Science Courses on Simplilearn
Some of the best data science courses by Simplilearn have been listed in the table below.
| Data Science Courses Name | Data Science Course Fee | Type of Course |
|---|---|---|
| Power BI Certification Course | INR 27,000 | Training Course |
| Data Science with R Certification Course | INR 28,320 | Training Course |
| Data Science with Python Certification | INR 29,640 | Training Course |
| Tableau Certification Training Course | INR 33,750 | Training Course |
| Data Scientist: Master’s Program (in collaboration with IBM) | INR 54,000 | Masters Program |
| Data Analyst: Master’s Program (in collaboration with IBM) | INR 54,000 | Masters Program |
| Post Graduate Program in Data Analytics: Purdue University (in collaboration with IBM) | INR 1,24,999 | Post Graduate Program |
| Post Graduate Program in Data Science: Purdue University (in collaboration with IBM) | INR 1,39,999 | Post Graduate Program |
Data Science Courses on Great Learning
Some of the best data science courses by Great Learning have been listed in the table below.
| Data Science Courses Name | Data Science Course Duration | Data Science Course Fee |
|---|---|---|
| Data Analytics Program by Career Academy | 4 months (Classroom) | INR 97,000 |
| MIT Data Science and Machine Learning Program | 12 weeks (Online) | INR 1,56,061 |
| Practical Decision Making Using Data Science by NUS Business School | 6 months (Online) | INR 1,80,579 |
| PGP - Data Science and Business Analytics by McCombs School of Business, Texas | 12 months (Online) | INR 2,75,000 |
| PGP in Data Science and Engineering (Data Science Specialization) by Great Lakes Executive Learning | 9 months (Online) | INR 2,75,000 |
| PG Program in Data Science and Business Analytics by Great Lakes Executive Learning | 12 months (Classroom) | INR 3,38,729 |
| PGP in Data Science and Engineering (Bootcamp) by Great Lakes Executive Learning | 5 months (Classroom) | INR 3,50,000 |
| Executive MBA Program in Data Science & Business Analytics by PES University | 2.5 years (Classroom) | INR 5,50,000 |
| MTech in Data Science and Machine Learning by PES University | 2 years (Online) | INR 5,90,000 |
| Master of Data Science (Global) Program by Deakin University | 24 months (Online) | INR 6,41,312 |
| Master of Data Science (Global) Program by Deakin University | 12 months (Online) | INR 6,72,952 |
| MS in Data Science Program by Northwestern School of Professional Studies | 18 months (Online) | INR 10,68,853 |
Which is the Best Platform for Data Science?
As data science courses are trending these days many platforms are emerging up with several data science courses of different specializations as well as duration and course fees.
| Parameters | Simplilearn | Udemy | edX | Coursera |
|---|---|---|---|---|
| Duration | Up to a year | Less than a week or two | 6 months - 1 year | Few weeks to 6 months |
| Pricing | INR 30,000 - INR 50,000 | The courses are subject to discounts of up to 90%. Students can purchase the course at a price as low as INR 455. | INR 30,000 - INR 60,000 | Free auditing/preview tracks are available. To get a certificate, students need to pay INR 2000 – INR 5000 |
| Projects | Yes (Depends on the course level) | Yes (Depends on the course level) | Yes (Depends on the course level) | Yes (Depends on the course level) |
| Coding Exercises | No | Yes | No | No |
| Assignments | Yes | Yes | Yes | Yes |
| EMI Option | Yes | No | No | No |
| Industry or College Accredited Courses | Yes | No | Yes | Yes |
| Placement Assistance | Yes (6 months paid subscription to IIM jobs portal) | No | No | No |
Data Science Upcoming Trends
Data Science Course is an upward trending course with the increase of data science professionals. As per analysis, the demand for data science professionals of approximately 30-40% in the upcoming years. Not only in the demand and job opportunities the demand can be seen but also in the trends. In the forthcoming years, data science will be concentrating on new areas and topics. Some of these upcoming trends are -
- Automated Data Science - Automated data science is the practice of using computer systems and processes to perform analytical tasks with little or no human intervention.
- Data Privacy and Security - Data privacy is about the proper use, collection, retention, omission, and storage of data. Data security is approaches, methodologies, and means to secure confidential Data.
- Super-sized Data Science in the Cloud - Big data science puts severe demands on the web, storage, and servers. This is the reason why some firms are outsourcing this aggravation and expenditure to the cloud. Big data in the cloud is equipping new business opportunities that support big data analysis and face various, architectural limitations.
- Natural Language Processing - Natural language processing is an interdisciplinary subfield of linguistics, and artificial intelligence concerned with computer science, with the relations between computers and human language, in respective, how to program computers to process and interpret large quantities of raw language data.
Also Check - Top 10 Private Engineering Colleges with Best Placements
Career Options and Job Prospects After Data Science
Following are the best data science course job profiles that suit the data science graduates -
- Data Analyst- A data analyst is required to analyze the given data from where important insights can be extracted for making business decisions. he/she is expected to present the data references in the form of data charts, graphs, dashboards, and reports. The salary of a data analyst starts from INR 4 lakhs.
- Data Scientist- The job of a data scientist is to clean and organize data from a given project with the help of given languages like; SAS, R, and Python. They are required for numerous types of research, helping the app developers with food crying blueprints, methodologies, extracting of data, etc.
- Statistician- A statistician works from the perspective of collecting, analyzing, and interpreting data with the help of methodologies and procedures specific to statistics.
- Data Engineer- A data engineer builds algorithms, prototypes, and conceptual models according to the blueprints created by the data architect. The salary of a data engineer starts from INR 5 Lakhs and upwards.
Other job profiles that data science engineers are recruited as-
- Machine Learning Scientist
- Enterprise Architect
- Infrastructure Architect
- Data Architect
- Applications Architect
- Machine Learning Engineer
- Business Intelligence Developer
Also Read - Top 10 Data Scientist Jobs for Freshers in 2024
Data Science Salary
Below is the analysis of the Data Science Salary that is received by people after taking up a data science course. Candidates who acquire an offline/ online data science course as their main domain are estimated to receive INR 10 LPA for freshers (approx).
| Data Science Job Roles | Salary |
|---|---|
| Data Scientist | INR 7,00,000 - 8,00,000 |
| Machine Learning Engineer | INR 5,00,000 – 11,00,000 |
| Statistician | INR 5,34,000 |
| Actuarial Scientist | INR 10,00,000 |
| Machine Learning Scientists | INR 6,00,000 |
| Software Developer Analyst | INR 5,75,000 |
| Application Architect | INR 4,00,000 - 6,00,000 |
| Data Engineer | INR 8,00,000 |
| Mathematician | INR 9,00,000 |
| Data Architect | INR 7,00,000 – 10,00,000 |
| Clinical Data Scientist | INR 3,00,000 – 6,00,000 |
| Business Intelligence Developer | INR 4,50,000 – 6,50,000 |
Also Read - Data Scientist Salary in India Per Month for Freshers & Experienced
Data Science Top Recruiters
- Amazon
- Flipkart
- Walmart
- Aditya Birla Fashion & Retail Ltd.
- Bharti Airtel Limited
- Reliance Jio
- BSNL
- Vodafone-IDEA
- General Motors
- Volkswagen
- Maruti Suzuki
- Hyundai
- Honda
- Future Enterprises Ltd.
- Reliance Retail Ltd.
- K. Raheja Group (Shoppers’ Stop)
- Landmark Group (Lifestyle)
- ITC
Data Science Life Cycle
The life cycle of data science is a methodology that follows certain steps.
- Business Understanding
- Preparation of Data
- Data Understanding
- Model Evaluation
- Data Modeling
- Exploratory Data Analysis
- Model Deployment
Data Science v/s Data Scientist
Data science, as a discipline, involves practitioners known as data scientists. Data scientists build machine learning models, but scaling may involve collaboration with machine learning engineers. Responsibilities often overlap with data analysts, yet data scientists possess a broader skill set, utilizing programming languages like R and Python for statistical inference. Proficiency in computer science, pure science, and business understanding is crucial.
Data scientists must extract insights from big data using tools ranging from databases to AI techniques. Some of the essential aspects include writing programs for data processing, effective storytelling, and collaboration with team members, including data engineers and analysts. Ultimately, a data scientist's role is to apply statistical and computer science skills, business insight, and industry-specific knowledge to extract actionable insights that solve business problems.
Data Science V/S Business Intelligence
Data Science and Business Intelligence are two different approaches used to make sense of large amounts of data. The key differences have been listed below.
- Data Science uses advanced statistical and mathematical techniques to analyze complex data sets and identify patterns. This helps businesses make predictions and data-driven decisions. Data Science includes machine learning, artificial intelligence, and deep learning to gain insights.
- On the other hand, Business Intelligence focuses on collecting, processing, and visualizing historical and current data to support strategic business decisions. BI tools help organizations create reports, dashboards, and data visualizations, providing a comprehensive view of their performance.
- The key difference between Data Science and Business Intelligence lies in their focus. Data Science is more exploratory and predictive, aiming to discover new insights. Business Intelligence is primarily retrospective, offering a retrospective view of business operations.
- Data Science often requires specialized skills in programming and statistics, while BI is more user-friendly and accessible to non-technical users. In essence, Data Science is forward-looking and exploratory, whereas Business Intelligence is retrospective and focused on facilitating operational decision-making.
What are Popular Tools Used in Data Science?
Candidates who are aspiring to pursue data science course have to use some tools for proper functioning. Some of these tools are Python, R, SQL, Tableau, Excel, etc. Candidates can get a detailed description of the tools, their functions, and some popular libraries.
| Tool | Description | Popular Libraries |
|---|---|---|
| SQL | SQL is a traditional language for managing and querying relational databases and is employed for data cleaning, exploration, and transformation. |
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| Python | Python is a high-level programming language called for its clarity and versatility, often utilized for machine learning, data science, and scientific computing. |
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| R | R is a statistical programming language widely employed for visualization and data analysis. |
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| Hadoop | Hadoop is an open-source framework that enables to accumulation of and processes of large data sets across collections of computers using uncomplicated programming models. |
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| Apache Spark | A fast and general-purpose collection computing system that provides an interface for programming complete clusters with inferential data parallelism and drawback forbearance. |
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| Tableau | Tableau is a powerful data visualization tool that allows users to create interactive dashboards and reports. | - |
| Excel | Popular spreadsheet software that allows users to organize, analyze and visualize data with the use of charts, tables, and pivot tables. | - |
| Jupyter Notebook | An open-source web-based tool that allows data scientists to create and share documents that contain live code, equations, visualizations, and narrative text. | - |
FAQs about DS Courses
What are the benefits of data science for business?
Data science is a revolutionary process that can have numerous advantages in businesses. Some of them include - Discovering unknown transformative patterns, Innovation of new products and solutions, Real-time optimization, etc.
What is data science used for?
The usage of data science is huge in this era. It is actively involved in Descriptive analysis, Diagnostic analysis, Predictive analysis, Prescriptive analysis, etc.
Which course is best for data science?
Some of the most popular data science courses are Google Data Analytics by Google, Data Science by Johns Hopkins University, and Introduction to Data Science by IBM.
Is data science easy?
The easiness of a data science course can be determined by the candidate’s determination, hard work, dedication, and perseverance.
Is data scientist an IT job?
Yes, data scientist is an IT job.
Is data science has a good career?
Data science is a field that has a lot of potential for growth in the future. It's a great career choice for anyone interested in using data to make important decisions, solve problems, and discover new insights.
Is data science a coding?
Yes, data science covers coding. It needs an acquaintance with programming languages such as Python and R along with knowledge of statistics and mathematics.
Should I learn R or Python if I want to be a data scientist?
Yes, it is better to have a skill in some programming languages such as R and Python in the profession of data science.
How is data science course in Indore?
Indore is one of the most prosperous locations for pursuing Data Science courses after Pune.
Which is IIT Madras BSc data science qualifier exam?
IIT JAM or any equivalent entrance exam is the IIT Madras BSc data science qualifier exam for Data Science Admission.
What is data science course fees?
The data science course fees is INR 50,000 to INR 1,50,000.
Can a PCB student become data scientist?
Yes, candidates from PCB backgrounds can become data scientists.
Is data science a 6 months course?
Data science courses can be 6 months. It entirely depends on the scope of the course. Candidates who want to pursue data science online courses can get a 6 month data science course.
What is data science course?
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.
Which course to take for data science?
A great way to get started in Data Science Course is to get a bachelor's degree in a relevant field such as data science, statistics, or computer science.
How to learn data science in 3 months?
Candidates must have some technical knowledge like a degree in Statistics, Mathematics, etc. They also need to know about coding schemes and programming languages.
Is data science easy to learn?
The difficulty level of the Data Science Course will depend on how you are perceiving the course and dedicating yourself to the course.
What is the Difference between Big Data Analytics and Data Science?
Big Data analytics focuses on handling enormous amounts of data sets (also called data mining) Data science, on the other hand, utilizes machine learning algorithms to design and create statistical models to generate insights from the bulk of big data.
What are the job fields after the conclusion of the data science course?
After completion of these courses, students can work in various sectors such as Research Laboratories, Colleges, Universities, Government Offices, Multinational Companies, Market research companies, Tech Companies, Consultancies, and Energy sectors.
What are the upcoming trends in the field of data science?
Automated Data Science, Data Privacy and Security, Super-sized Data Science in the Cloud, and Natural Language Processing are the upcoming trends in the field of data science.
What are the skills required to become a successful Data Scientist?
Calculus and Mathematics, Programming Skills, Statistics, Communication, and Interpersonal Skills are some of the skills required to become a successful data scientist.
Who are the top recruiters of Data Scientists?
Amazon, Flipkart, Cognizant, Wipro, IBM, Infosys, and Deloitte are some of the top recruiters of Data Scientists.
What can I opt for after Data Science?
After completing a data science course successfully, one can opt for Data Scientist, Data Analyst, Applications Architect, Machine Learning Scientist, Enterprise Architect, Data Architect, etc.
What is the duration of the course?
The duration of data science depends on the level of studies. For a bachelor’s, the duration is 3 to 4 years. For master’s, it ranges from 2 years. If you are pursuing the data science course online, the duration will vary, depending on the terms and conditions of the conductor.
Is NIMSEE compulsory for Data Science?
No, NIMSEE is also an entrance exam that offers admissions in data science. But, you can apply for other entrance exams too. Other entrance exams that offer admissions in data science such as SSU CET, AMET CET, CUCET, JNUEE, and CUET.
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