Best Data Science Courses

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Jun 25, 2024 12:31PM IST

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:

  1. 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.
  2. Data Science Courses can be pursued online, or offline modes.
  3. Data Science is a field that uses various methods to understand and analyze real-world events with data. 
  4. Data Science combines ideas, data examination, and machine learning techniques. 
  5. Data Science Syllabus covers concepts from other computer science fields such as statistics, mathematics, and information science. 
  6. 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?

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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.

Name of the CourseData Science Course
Admission ProcessEntrance exam-based and merit-based 
Eligibility  Criteria
  • UG - 50 to 60% marks in class 10+2 exams & basic knowledge of Statistics, Mathematics, and Programming.
  • PG - Graduation in Science or Engineering with 50 to 70% aggregate with basic knowledge of Statistics, Mathematics, and Programming.
  • Diploma  - Graduation in Science or Engineering with 50% aggregate and Maths/Statistics/CS/IT as one of the core subjects. 
Duration of programs
  • Under Graduate - 3 to 4 years
  • Post Graduate - 2 years
  • Post Graduate Diploma - 2 years
Job ProfilesData Scientist, Data Analyst, Applications Architect, Machine Learning Scientist, Enterprise Architect, Data Architect
Major RecruitersAmazon, Flipkart, Cognizant, Wipro, HCL, Dell, IBM India, Infosys, etc.
Data Science InstitutesPraxis 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)
  • B.Sc Data Science - INR 50,000 to INR 1,00,000
  • B.Tech Data Science - INR 1,80,000
  • M.Sc Data Science - INR 20,000 to INR 70,000
  • M.Tech Data Science - INR 50,000 to INR 2,00,000
  • Post Graduate Diploma in Data Science - INR 30,000 to INR 5,00,000

Data Science Course Highlights

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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. 


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.

Why Choose Data Science Course?

Also Check - BE/BTech Admission Process 2024

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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.

CoursesEligibility Criteria for Data Science
BSc Data in ScienceStudents 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 ScienceStudents 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
  • BE or BTech degree holders in a relevant discipline can apply for MSc in Data Science
  • BSc IT or BSc Computer Science or BSc Statistics or BCA or BSc Mathematics students who have qualified from a recognized university with at least 50% aggregate marks can apply. 
  • Students who have qualified in Statistics or Mathematics for at least 2 years are eligible for MSc in Data Science
MTech in Data ScienceStudents 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 ScienceStudents 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. 

  1. These include a good understanding of calculus and mathematics, programming knowledge, statistical knowledge, and interpersonal and communication skills.
  2. 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.
  3. 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.
  4. Statistics is also an important skill for data scientists. Candidates must be familiar with various statistical distributions, graphs, charts, and other numerical tools.
  5. 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.
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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

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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 SpecializationSkills RequiredPossible Career
Business Analytics and Intelligence
  • Mathematical process skills
  • Reports production and presentation
  • Database management
  • Regression modeling
  • Statistical analysis methods


  • Business intelligence analyst
  • Business analyst
  • Market research analyst
  • Marketing analyst
Data Science With a Computational Track
  • Mechanics of data science tactics and Methodologies
  • Information retrieval
  • Engineering
  • Statistics
  • Technological theory
  • Algorithms and data structures
  • Retail
  • Banking
  • Healthcare
  • Finance
  • Defense
Data Engineering and Warehousing
  • Optimizing data collection and storage
  • Learning programming languages
  • Reporting and visualizing statistics and patterns
  • Processing and analyzing data
  • Building and testing models to manage large quantities of data
  • Computer systems analyst
  • Data Engineer
  • Computer network analyst
  • Data analyst
  • Data scientist
  • Data manager
Database Management and Architecture
  • Database design and management
  • Advanced architecture design
  • Data warehousing
  • Business intelligence
  • Business analysis
  • Big data systems engineering
  • Data Engineer
  • Data administrator
  • Database architect
  • Information modeling engineer
Data Mining and Statistical Analysis
  • Statistical computing
  • Mathematical and applied statistics
  • Analysis and model-building with large datasets and databases
  • Data management
  • Statistical learning
  • Data Engineer
  • Data mining analyst
  • Marketing analyst
  • Quantitative analyst
  • Data analyst
Machine Learning
  • Data and network security
  • Applied statistics
  • Data mining
  • Natural language processing
  • Information visualization
  • Pattern recognition
  • Application Developer
  • Software engineer
  • Data Architect
  • Statistician
  • Programmer
Managerial Data Science
  • General management
  • Specific business
  • Programming languages
  • Database systems
  • Communication
  • domain knowledge
  • Data science program manager
  • Project manager
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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.

DegreeAdmission Highlights
  • Entrance exam scores like JEE Main, UPESEAT, SUAT, UPSEE etc 
  • Marks of the 10+2 examination or equivalent exam
  • National level and state-level entrance exam scores like GATE, Gujarat PGCET, TS PGECET, UPSEE, etc 
  • Marks of the 10+2 examination or equivalent exam
  • Some reputed entrance exam scores like AMET CET, SSU CET, Jain University Entrance Test, KR Mangalam Entrance Test etc 
  • Marks of the 10+2 examination or equivalent exam
MScInstitutes offer admission in MSc to the applicants based on marks of the previous  qualified exam 
Post Graduate Diploma in Data ScienceInstitutes offer admission to Post Graduate Diploma in Data Science to the applicants based on marks of the previous qualified exam 

Data Science Admission Process in India

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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 feePrivate feeGovernment feePrivate fee
Undergraduate 37,80097,80035,64,0008,39,000
Doctoral 5,40,0003,81,0005,04,0006,42,000

Also Read - Data Science Course Fees

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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 ScienceStatistics and Mathematics
Domain ExpertiseData Analysation
Data VisualisationScientific Computation
Experimentation, Evaluation, and Project Deployment ToolsExploratory Analysis
Matrix computationsStatistical foundation for data science
Coding Machine learning Algorithms
Data wranglingData structures and Algorithms
Optimisation techniques Scholastic model
Predictive analysis and segmentation using data clusteringBusiness Acumen and artificial Intelligence
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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 collegesData science fees


Diploma or PGDM

Praxis Business School, KolkataINR 5,95,000
IIIT Bangalore INR 2,25,000
Symbiosis Center for Distance Learning, PuneINR 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 collegesData science fees


BCA Data Science

Poornima University INR 3,19,000
Vivekananda Global UniversityINR 3,22,000
VELS ChennaiINR 3,08,000
BS Abdur Rahman Institute of Science and TechnologyINR 2,55,000
KL UniversityINR 1,20,000


BSc Data Science

Navrachana UniversityINR 3,00,000
SRIHER ChennaiINR 2,25,000
NIMAS KolkataINR 1,33,000
KR Mangalam UniversityINR 3,09,000
MRIIRS, FaridabadINR 3,78,000
Bachelor of Data ScienceSP Jain school of global management, MumbaiINR 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 collegesData science fees


MSc Data science course

VIT UniversityINR 1,62,000
Christ University INR 1,80,000
Annamalai UniversityINR 74,000
Manipal UniversityINR 3,00,000
Fergusson UniversityINR 1.20,000
Loyola UniversityINR 1,71,000
MKRV College for WomenINR 1,40,000
Sastra UniversityINR 1,40,000
Chandigarh UniversityINR 1,20,000
GITAM UniversityINR 2,00,000
MSc Data Science and AnalyticsJain University, BangaloreINR 2,06,000
MBA in Data Science and AnalyticsSCIT PuneINR 13,65,000
K J Somaiya Institute of ManagementINR 7,82,000 (1st year)


MTech in  Data science

BITS PilaniINR 60,000
IIT HyderabadINR 9,00,000
IIT GuwahatiINR 3,08,000
Amrita Vishwa VidyapeethamNA
Sharda University, Greater NoidaINR 95,850 (1st year)
IPU New DelhiINR 1,20,000
MCA in  Data scienceHindustan University, ChennaiINR 2,50,000
LNCT University, BhopalNA

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.

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.

Also Check -List of NIT Colleges in India 2024

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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

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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.

  1. 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.
  2. Second, data science is being used to manage unstructured and unstructured data, saving time and increasing productivity.
  3. 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.
  4. 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.
  5. 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

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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 AnalyticsData Science
Goal To find actionable data To ask for the right question
Scope Macro Micro 
Skills required 
  • Knowledge of intermediate statistics
  • Excellent problem-solving skills
  • Dexterity in Excel and SQL database
  • Knowledge of maths, advanced statistics, and predictive modeling
  • Proficiency in big data tools like; Hadoop and Spark
  • Experience with data visualization such as Qlikview, D3.js, and tabeleu
Major industries 
  • Healthcare
  • Gaming
  • Travel
  • Industries with immediate data needs
  • Machine learning
  • Artificial intelligence
  • Search engine engineering
  • Corporate Analytics

Also Check- Data Analyst vs. Data Scientist

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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 NameData Science Courses Duration
Executive Data Science Specialization2 months (6 hours/week)
Practical Data Science Specialization3 months (5 hours/week)
Introduction to Data Science Specialization4 months (3 hours/week)
Data Science: Foundations using R Specialization 5 months (8 hours/week)
Applied Data Science with Python Specialization5 months (7 hours/week)
Data Science Fundamentals with Python and SQL Specialization6 months (3 hours/week)
Google Data Analytics Professional Certificate6 months (10 hours/week)
Data Science: Statistics and Machine Learning Specialization6 months (6 hours/week)
IBM Data Science Professional Certificate11 months (3 hours/week)
Data Science Specialization11 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 NameCourse ProviderData Science Course Fee
Data Science: Machine LearningHarvard UniversityFree
Python Basics for Data ScienceIBMFree
Data Science: R BasicsHarvard UniversityFree
Professional Certificate in Python Data ScienceIBMINR 42,247
Professional Certificate in Foundations of Data ScienceUniversity of California, BerkeleyINR 49,022
Professional Certificate in IBM Data ScienceIBMINR 71,393
Professional Certificate in Data ScienceHarvard UniversityINR 72, 939
MicroMasters Program in Statistics and Data ScienceMassachusetts Institute of TechnologyINR 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 NameData Science Course FeeType of Course
Power BI Certification CourseINR 27,000Training Course
Data Science with R Certification CourseINR 28,320Training Course
Data Science with Python CertificationINR 29,640Training Course
Tableau Certification Training CourseINR 33,750Training Course
Data Scientist: Master’s Program (in collaboration with IBM)INR 54,000Masters Program
Data Analyst: Master’s Program (in collaboration with IBM)INR 54,000Masters Program
Post Graduate Program in Data Analytics: Purdue University (in collaboration with IBM)INR 1,24,999Post Graduate Program
Post Graduate Program in Data Science: Purdue University (in collaboration with IBM)INR 1,39,999Post 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 NameData Science Course DurationData Science Course Fee
Data Analytics Program by Career Academy4 months (Classroom)INR 97,000
MIT Data Science and Machine Learning Program12 weeks (Online)INR 1,56,061
Practical Decision Making Using Data Science by NUS Business School6 months (Online)INR 1,80,579
PGP - Data Science and Business Analytics by McCombs School of Business, Texas12 months (Online)INR 2,75,000
PGP in Data Science and Engineering (Data Science Specialization) by Great Lakes Executive Learning9 months (Online)INR 2,75,000
PG Program in Data Science and Business Analytics by Great Lakes Executive Learning12 months (Classroom)INR 3,38,729
PGP in Data Science and Engineering (Bootcamp) by Great Lakes Executive Learning5 months (Classroom)INR 3,50,000
Executive MBA Program in Data Science & Business Analytics by PES University2.5 years (Classroom)INR 5,50,000
MTech in Data Science and Machine Learning by PES University2 years (Online)INR 5,90,000
Master of Data Science (Global) Program by Deakin University24 months (Online)INR 6,41,312
Master of Data Science (Global) Program by Deakin University12 months (Online)INR 6,72,952
MS in Data Science Program by Northwestern School of Professional Studies18 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. 

DurationUp to a yearLess than a week or two6 months - 1 yearFew weeks to 6 months
PricingINR 30,000 - INR 50,000The 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 60,000Free auditing/preview tracks are available. To get a certificate, students need to pay INR 2000 – INR 5000
ProjectsYes (Depends on the course level)Yes (Depends on the course level)Yes (Depends on the course level)Yes (Depends on the course level)
Coding ExercisesNoYesNoNo
EMI OptionYesNoNoNo
Industry or College Accredited CoursesYesNoYesYes
Placement AssistanceYes (6 months paid subscription to IIM jobs portal)NoNoNo
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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

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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 RolesSalary
Data ScientistINR 7,00,000 - 8,00,000
Machine Learning EngineerINR 5,00,000 – 11,00,000
StatisticianINR 5,34,000
Actuarial ScientistINR 10,00,000
Machine Learning ScientistsINR 6,00,000
Software Developer AnalystINR 5,75,000
Application ArchitectINR 4,00,000 - 6,00,000
Data EngineerINR 8,00,000
MathematicianINR 9,00,000
Data ArchitectINR 7,00,000 – 10,00,000
Clinical Data ScientistINR 3,00,000 – 6,00,000
Business Intelligence DeveloperINR 4,50,000 – 6,50,000

Also Read - Data Scientist Salary in India Per Month for Freshers & Experienced

Data Science Top Recruiters

  1. Amazon
  2. Flipkart
  3. Walmart
  4. Aditya Birla Fashion & Retail Ltd.
  5. Bharti Airtel Limited
  6. Reliance Jio
  7. BSNL
  8. Vodafone-IDEA
  9. General Motors
  10. Volkswagen
  11. Maruti Suzuki
  12. Hyundai
  13. Honda
  14. Future Enterprises Ltd.
  15. Reliance Retail Ltd.
  16. K. Raheja Group (Shoppers’ Stop)
  17. Landmark Group (Lifestyle)
  18. ITC

Data Science Life Cycle

The life cycle of data science is a methodology that follows certain steps.

  1. Business Understanding
  2. Preparation of Data
  3. Data Understanding
  4. Model Evaluation
  5. Data Modeling
  6. Exploratory Data Analysis
  7. Model Deployment
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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.

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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.
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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.

ToolDescriptionPopular Libraries
SQL SQL is a traditional language for managing and querying relational databases and is employed for data cleaning, exploration, and transformation.
  • SQLite
  • MySQL
  • PostgreSQL
Python Python is a high-level programming language called for its clarity and versatility, often utilized for machine learning, data science, and scientific computing.
  • NumPy
  • Pandas
  • Matplotlib
  • Scikit-learn
R is a statistical programming language widely employed for visualization and data analysis.
  • Dplyr
  • Tidyr
  • Ggplot2
  • caret
HadoopHadoop is an open-source framework that enables to accumulation of and processes of large data sets across collections of computers using uncomplicated programming models.
  • HDFS
  • MapReduce
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.
  • PySpark
  • SparkR
TableauTableau is a powerful data visualization tool that allows users to create interactive dashboards and reports.-
ExcelPopular 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.-
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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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Related Questions


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-Answered on July-01-2024

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-Answered on June-28-2024

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harshita, Student / Alumni

-Answered on June-28-2024
hey, LPU stands out as a leading institution for engineering education, offering a rich array of features that distinguish it as a top choice for aspiring engineers. The university's engineering programs encompass a diverse range of specializations, including Civil Engineering, Mechanical Engineering, Electrical Engineering, Computer Science Engineering, Electronics and Communication Engineering, Aerospace Engineering, and more. This breadth of options empowers students to tailor their studies to align with their individual interests and career aspirations, ensuring a personalized educational experience that caters to their unique goals. Moreover, LPU's engineering curriculum is meticulously crafted and regularly updated to reflect the latest industry trends and technological advancements. By emphasizing both theoretical knowledge and practical skills, the curriculum equips students with a comprehensive understanding of their chosen field and prepares them for the dynamic challenges of the engineering profession. Complementing its robust academic offerings, LPU boasts state-of-the-art facilities that provide students with an immersive learning environment conducive to exploration and discovery. The university's campus is equipped with modern laboratories, workshops, and research facilities outfitted with cutting-edge machinery and software tools, enabling students to engage in hands-on learning and experimentation. This access to advanced resources empowers students to delve deep into their studies, pursue innovative projects, and gain practical experience that enhances their skills and knowledge base. In line with its commitment to industry relevance and practical learning, LPU places a strong emphasis on industry integration within its engineering programs. Through a myriad of opportunities such as internships, industry visits, and guest lectures by industry experts, students gain invaluable real-world insights and experiences that enrich their education and prepare them for successful careers. These industry connections not only provide students with a glimpse into the professional landscape but also facilitate the development of crucial skills and networks that enhance their employability upon graduation.

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