Updated on Mar 29, 2023 11:40 IST
Radhika Sharma

Radhika SharmaAssociate Senior Executive

Data analytics is commonly described as a process of examining data sets to draw conclusions on the basis of information available in them with the help of various software or specialized systems. Data analytics has become a very crucial part of commercial industries over the last few years as it enables more informed business decisions based on scientific data and research.

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science uses techniques and principles of Mathematics, Statistics, Computer Science and Information Technology to get actionable insights from data. Data science is related to Data Mining, Machine Learning and Big Data.

Difference between Data Analytics and Data Science

To understand the difference between Data Analytics and Data Science. Data analysis involves answering questions generated for better business decision making whereas Data science focuses on discovering new questions needed to drive innovation.

Parameter

Data Science

Data Analytics

Scope

Macro

Micro

Goal

To ask the right questions

To find actionable data

Major Industries

  • Machine learning
  • Artificial Intelligence (AI)
  • Search engine engineering
  • Corporate analytics
  • Healthcare
  • Gaming
  • Travel
  • Industries with immediate data needs

Skills Required

  • Knowledge of Math, Advanced Statistics, Predictive Modelling
  • Proficiency Big Data tools such as Hadoop and Spark
  • Experience with data visualization tools such as QlikView, D3.js and Tableau
  • Knowledge of Intermediate Statistics
  • Excellent problem-solving skills
  • Dexterity in Excel and SQL database

Data analytics and Data Science tools help scientists and researchers in verifying or reject scientific models, theories and hypotheses, thereby helping the company improve operational efficiency and customer service, gain a competitive edge and increase revenues. Data Analytics tools use historical data or the data being processed in real-time.

Data analytics methodologies include exploratory data analysis (EDA) and confirmatory data analysis (CDA). The former aims to find patterns and relationships in the given data; the latter examines whether hypotheses about a data set are true or false.

There are two forms of data analysis: quantitative data analysis which includes analysis of numerical data that can be statistically compared; and qualitative data analysis which is more interpretive and draws the conclusion from non-numerical data.

Other types of data science include data mining, predictive analytics and machine learning.

After completing a data analytics course one can get jobs like data engineer, data scientist, data architect, database administration and data analyst. The starting salary of a data analyst as per payscale.com is Rs 4 lakh and upwards.

Data Analytics and Data Science Eligibility Criteria

Data Science courses are available at the postgraduate level as a stream of specialization in Engineering, Computer Science and Management. The minimum eligibility criteria for a Data Analytics course is Bachelor's degree with at least 50% marks in aggregate or equivalent preferably in Science or Computer Science from a recognised university

Required Skillset for Data Analytics

To be good at data analysis, one needs to have strong analytical and numerical skills and must have a thorough understanding of computer software(s) like Querying Language (SQL, Hive, Pig), scripting Language (Python, Matlab), Statistical Language (R, SAS, SPSS), and Excel. 

Essential soft skills required to be a successful data analyst includes good interpretive and communication skills, i.e. to be able to explain the process of data analysis and its outcome to a different set of audience (technical and non-technical). He/she must also possess attention to detail and problem-solving skills.

Data Analytics Course Fee & Data Science Course Fee

One can pursue Data Analytics at UG, PG and doctorate levels. The most popular Data Analytics courses are mentioned below:

PG courses

UG Courses

MBA/PGDM

BE/BTech

MSc/MCA/MTech

BSc

Apart from the above-mentioned degree courses, one can also pursue short term online certification courses. These courses are ideal for working professionals who wish to add Data Analytics to their list of professional skills.

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Data Analytics courses with fee

There are various Data Analytics courses are available for candidates in online and offline mode. Candidates can check the courses as per their choice below:

Online Data Analytics course

Candidates can check the Online Data Analysis courses in the table below:

Certificate Name

Mode

Duration

Fee

Data Analytics Master Certificate by SimpliLearn

Online

1 year

Rs 54,000

Introduction to Data Analytics for Business by Coursera

Online

4 weeks

Free

Business Analytics Course by Edupristine

Online

10 weekends

Rs 25,000 onwards

Data Science and Analytics by IMS Pro School

Online

140 hours

Rs 90,000 + GST

Programming in R by NIIT 

Online

44 hours

Not Available

PG Certification in Data Science

Online

7 months

Rs 3,736 per month

Offline Data Analytics Course

Candidates can check the offline Data Analytics Cours below:

Certificate Name

Mode

Duration

Fee

PG Certification in Data Science by IIIT Bangalore

Offline

7 months

Rs 3,736 per month

Data Science Courses with Fee

There are various Data Science courses are available for candidates in online and offline mode. Candidates can check the courses as per their choice below:

Data Science Course Online

Candidates can check the Data Science free online courses and also the paid ones in the table below:

Certificate Name

Mode

Duration

Fees

IBM Data Science Professional Certification by Coursera

Online

10 months

Rs 2,912

Applied Data Science with Python by Coursera

Online

5 months

Free

HarvardX’s Data Science Professional Certificate by edx

Online

1 year 5 months

Rs 33,000

Amazon AWS Big Data Certification by AWS

Online

170 minutes

Rs 22,500

Data Curation Professional by SAS Academy

Online

3-18 months

Rs 18,700

Data Science Certification Course Using R by Edureka

Online

5 weeks

Rs 22,409

Elements of Data Science by RICEx

Online

6 months

Rs 47,998

Business Analytics and Data Science Course by IMS Proschool Pvt Ltd 

Online & Offline

1-3 months

Rs 50,000 to 1 lakh

Along with the above courses, students can also pursue a course on Big Data Analytics. It is also a part of Data Science. Big Data is now being used by almost every industry. In today’s scenario, it is very important for every organization to collect, preserve and analyse whatever data is being generated to avoid the fear of missing out on something important. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there. A study suggests that 77% of the companies and verticals across industries (including non-IT) are adapting to use Big Data. Thus many are recruiting data analysts and scientists.

Big Data Analytics Certifications

Various globally renowned organisations conduct courses on Big Data Analytics. These courses help a person to become successful in the field. A few of such certification courses are as follows:

  • Mining Massive Data Sets Graduate Certificate
  • Oracle Business Intelligence Certification
  • Data Science Council of America Certification
  • SAS Certified Data Scientist
  • EMC Data Science and Big Data Analytics Certification
  • Hortonworks Hadoop Certification
  • Microsoft’s MCSE: Data Management and Analytics

Data Analytics Syllabus

A data analytics course consists of the following topics: 

Syllabus of Data Analytics

Data Structures and Algorithms

Probability and Statistics

Relational Database Management Systems

Business Fundamentals

Text Analytics

Data Collection

Data Visualization

Statistical Analysis

Forecasting Analytics

Simulation

Machine Learning

Optimization

Marketing Analytics

Pricing Analytics

Social Network Analysis

Retail Analytics

Customer Analytics

Supply Chain Analytics

Some of the software tools taught in the course are:

R

@Risk

MySQL

Simio

Hadoop (AWS)

Tableau

Python

XLMiner

Stata

NodeXL- MeXL

Data Analytics & Data Science Job Profiles and Top Companies

Some of the areas where you can work as a data analyst include Data Assurance, Finance, Higher Education, Sales & Marketing, Business Intelligence and Data Quality.

For a Data Analyst, the daily grind includes, identifying areas where the company can improve efficiency; collecting data to extract resolution, applying tools and methods to audit the data, and create a blueprint of the solution and share it with the concerned people in a simple and understandable way, mainly through graphs, reports and charts.

Top Job Roles

Data Scientist: Data scientists clean and organise scientific data collected for a particular project with the help of programming languages like SAS, R and Python. They are required for the enormous amount of research and help app developers in creating data definition for a particular data, extract relevant data, create the blueprint and methodologies to be used. The starting salary of a Data Scientist in India is Rs 6 lakh and upwards.

Data Architect: Data Architects design the blueprint of the data science project to be undertaken by the company. This includes collating, organizing, centralizing, maintaining and protecting the source of data from all the data management systems and technologies used. In short, they are supposed to ensure the data is available, stable and secure. The starting salary of a Data Architect in India is Rs 18 lakh and upwards.

Data Engineer: Data engineers build algorithms, prototypes, and conceptual models according to the blueprint designed by data architects. Their main responsibility is to provide valid data to statisticians and data analysts for the analysis. The starting salary of a Data Engineer in India is Rs 5 lakh and upwards.

Data Analyst: As the name suggests, a Data Analyst is required to analyse the given data to extract important insights needed for a particular project. The job responsibility includes identifying trends and creating predictive models on the basis of data collected. He is also expected to present the data and inferences in a meaningful format like graphs, charts, reports, dashboards, etc. The starting salary of a Data Analyst in India is Rs 4 lakh and upwards.

Statistician: The Statistician collects, analyzes and interprets quantitative data with the help of theories and methodologies specific to statistics. Their job responsibility includes determining methods for collecting data and decide what data are needed to solve the given problems. The starting salary of a Statistician in India is Rs 4 lakh and upwards.

Database Administrator: The job of a database administrator (DBA) is to ensure that the database is secure, is available to all the concerned users and is performing properly at all times. The DBA uses specialised software to store and organise the data. The starting salary of a Database Administrator in India is Rs 4 lakh and upwards.

*The salary data is obtained from payscale.com

Read More: Advance Your Career Through Post Graduate Course in Data Science

Data Analytics & Data Science Top Companies

In today’s world, Data Analytics is the need of the hour. If a business enterprise has to excel in its field, it has to take the help of data analysis and data science. With the help of data analytics companies can not only increase their revenue, expand the customer base, provide better customer satisfaction, cut cost, but also get an edge over their competitors.

Data Analysts are the most sought after skilled professionals in the current world, not only in the Information Technology industry but also in Finance, Insurance, Banking, Marketing & Sales, Consumer Goods, Electronics, Heavy Industries and all other sectors; as all of them require someone to do the number crunching for them.

Companies Hiring Data Analytics Graduates

Google

MachinePulse

The Smart Cube

Fractal

Amazon

Novartis

Fractal Analytics

JP Morgan Chase

Capital One

RBS

ICICI Bank

Flipkart

Kotak Mahindra

Accenture Consulting

KPMG

Yahoo

Twitter

Tumblr

Tredence

Cartesian Consulting

Quantium Analytics

Deloitte

HSBC

Credit Suisse

Barclays

Axis Bank

E-bay

Expedia

AT Kearney

CRISIL

Microsoft

LinkedIn

Mu Sigma

BRIDGEi2i

Flytxt

Tata iQ

Citi Bank

Deutsche Bank

Nomura

HDFC Bank

Yes Bank

Snapdeal

Make My Trip

E&Y

Walmart Labs

Facebook

Instagram

ZS Associates

Brillio

Bank of America

-

FAQs Regarding Data Analytics & Data Science

Which is better Data Science or Data Analytics?

Data analysis is good for the queries that need to be answered based on existing data. Data science concentrates more on the questions that should be asked to establish potential trends.

Is Data Science and Data Analytics the same?

No, Data Science and Data Analytics are different. While Data Science focuses on finding meaningful correlations between large datasets, Data Analytics is designed to uncover the specifics of extracted insights. In other words.

Is Data Analytics a part of Data Science?

Data Science is an umbrella that encompasses Data Analytics and Big Data. Data Analytics is a branch of Data Science that focuses on more specific answers to the questions that Data Science brings forth.

Can a Data Analyst become a Data Scientist?

Data Analyst and Data Scientist share a similar background. Both course help students get a thorough knowledge of Mathematics and statistical analysis, but a data scientist has skills for better more modelling and prediction. Data Analyst can become Data Scientist by pursuing the relevant course.

Is Data Analytics in demand?

Yes, Data Analytics is undoubtedly in demand as 96% of the companies are planning to hire Data Analysts. It is estimated that the data analyst will be one of the most in-demand jobs by 2022.

What is the eligibility criteria for Data Analytics?

It depends on the level of the course a candidate is opting for. The minimum eligibility criteria is a Class 12 pass certificate.

How much does the average Data Analyst make?

An average Data Analyst earns approximately Rs 4.1 lakh annually as a fresher. The salary varies with skills, company & location, and grows with experience in the field.

Is Data Science in demand?

Yes, Data Science is in great demand. It is estimated that Data Scientists’ demand is 26% higher as compared to an average software engineer in India.

What is the average salary of a Data Scientist in India?

According to PayScale.com, the average salary for a data scientist (fresher) in India is Rs 8 lakh per annum in 2020. The salary varies with skills, company & location, and grows with experience in the field.

Which is the best institute to pursue a Data Science course?

IIIT Bangalore, in collaboration with UpGrad, offers Post Graduate Diploma in Data Science at a cost of INR 2.25 Lakhs for a duration of 11 months.

What are the best sites to learn Data Science?

Coursera, Udemy, edX, Google are some of the best sites to learn about Data Science.

Popular Data Analytics Colleges in India

Following are the most popular Data Analytics Colleges in India. Learn more about these Data Analytics colleges (Courses, Reviews, Answers & more) by downloading the Brochure.
3 L
3.3 LPA
1.48 L
6.12 LPA
13.28 L
5 LPA

Data Analytics Applications open. Apply Now

4.8 LPA
2.07 L
2.4 LPA

Popular Private Data Analytics Colleges in India

1 Course
10 L
5.0
90 K - 5.5 L
4.3
1.5 L - 1.98 L
3.6 LPA
GIET crowned as Best University in Eastern India for campus placement at Asia Education Summit
1 Course
7.95 L
5.25 LPA
60.75 L
3.57 LPA

Data Analytics Applications open. Apply Now

8 L

Popular Data Analytics UG Courses in India

Following are the most popular Data Analytics UG Courses . You can explore the top Colleges offering these UG Courses by clicking the links below.

UG Courses

Popular Data Analytics PG Courses in India

Following are the most popular Data Analytics PG Courses . You can explore the top Colleges offering these PG Courses by clicking the links below.

PG Courses

Comments

S

Which are the colleges for AI and Data Science combined course in Bangalore and Mysore? What is their fee structure?

P

Prachi Beriwal

Contributor-Level 10

Yesterday

There are several colleges and universities in Bangalore and Mysore, India, that offer courses in AI (Artificial Intelligence) and Data Science. Here are a few prominent institutions in the region:1. Indian Institute of Science (IISc), Bangalore: IISc offers a Master of Technology (M.Tech) progra...There are several colleges and universities in Bangalore and Mysore, India, that offer courses in AI (Artificial Intelligence) and Data Science. Here are a few prominent institutions in the region:
1. Indian Institute of Science (IISc), Bangalore: IISc offers a Master of Technology (M.Tech) programme in Artificial Intelligence, which covers various aspects of AI and Data Science. For detailed information about the fees structure, it is best to visit their official website or contact the admissions office.
2. International Institute of Information Technology, Bangalore (IIITB): IIITB offers a Master of Technology (M.Tech) programme in Data Science. They have a specialised curriculum that focuses on Data Science and its applications. For information on the fees structure, you can visit their official website or contact their admissions office.
3. Bangalore University: Bangalore University offers postgraduate programs in Computer Science and Data Science, which may cover AI-related topics. The fees structure for these programs can be obtained from the university's official website or by contacting the admissions office.
4. University of Mysore: The University of Mysore offers various postgraduate programs in computer Science and related fields. They may have courses that cover AI and Data Science. For information on fees structure, it is advisable to visit their official website or contact the admissions office. Please note that fees structure for courses can vary from year to year, and it is best to consult the official websites of the respective institutions or contact their admissions offices for the most up-to-date and accurate information regarding the fees structure for AI and Data Science programs.

P

I need to have more query regarding to data analytics, admission and free /. .

P

Prachi Beriwal

Contributor-Level 10

Yesterday

Sure! I'm here to help. Please go ahead and ask your queries regarding data analytics, admission processes, or anything else you'd like to know. Feel free to provide more specific details or ask any specific questions you have, and I'll do my best to assist you.

S

My sister passed +2. She wants to study data Science. How much is the cost? And admission fees?

P

Pratham Arora

Contributor-Level 7

3 days ago

The cost of studying data Science in India varies depending on the institution, the type of course, and the duration of the course. Here are some examples of the cost of data Science courses in India:Undergraduate courses: Undergraduate data Science courses typically cost between 1 Lacs and 5 Lac...The cost of studying data Science in India varies depending on the institution, the type of course, and the duration of the course. Here are some examples of the cost of data Science courses in India:
Undergraduate courses: Undergraduate data Science courses typically cost between 1 Lacs and 5 Lacs. Postgraduate courses: Postgraduate data Science courses typically cost between 2 Lacs and 10 Lacs. Online courses: Online data Science courses are typically much cheaper than on-campus courses. They can cost anywhere from 10,000 to 50,000. In addition to the course fees, there may also be other costs associated with studying data Science, such as the cost of books, software, and equipment. The admission requirements for data Science courses also vary depending on the institution. However, most institutions require students to have a Bachelor's degree in a related field, such as computer Science, mathematics, or Statistics. Some institutions may also require students to have taken certain courses, such as calculus and linear Algebra. If your sister is interested in studying data Science, she should research different institutions and courses to find the best fit for her needs and budget. She should also contact the institutions she is interested in to learn more about their admission requirements.

S

Can I do B.Sc. Data Science with PCB? Which are the colleges accepting PCB students for B.Sc. Data Science in Mumbai?

52210133
Anshika Maurya

Contributor-Level 9

5 days ago

Typically, B.Sc. Data Science programs require a background in mathematics, Statistics and computer Science. However, some colleges may consider students from a PCB Physics Chemistry Biology background if they meet certain prerequisites. It's important to note that the eligibility criteria may va...Typically, B.Sc. Data Science programs require a background in mathematics, Statistics and computer Science. However, some colleges may consider students from a PCB Physics Chemistry Biology background if they meet certain prerequisites. It's important to note that the eligibility criteria may vary from college to college. Here are a few colleges in Mumbai that offer B.Sc. Data Science programs:
1. St. Xavier's College, Mumbai: St. Xavier's College offers a B.Sc. In Data Science programme. It is advisable to check their official website or contact the college directly to inquire about eligibility criteria for PCB students.
2. Wilson College, Mumbai: Wilson College also offers a B.Sc. In Data Science programme. Similar to the above, it's recommended to verify the eligibility requirements on their official website or contact the college for the most accurate and up-to-date information.
3. Jai Hind College, Mumbai: Jai Hind College is known for its undergraduate programs, including a B.Sc. In Data Science. Again, please check their official website or contact the college for specific eligibility criteria. Remember to research and verify the current admission requirements and eligibility criteria for B.Sc. Data Science programs in Mumbai, as they may have changed since my last update. It's recommended to directly contact the colleges you are interested in for the most accurate information.

C

I got CSE in big data Analytics for M.Tech in VIT Vellore. Should I take it? How are the career and placement opportunities in VIT?

t

tarun mittal

Contributor-Level 10

a week ago

VIT Vellore is one of the top private engineering colleges in India and has a good reputation for its placement opportunities. The M.Tech. in Computing Science and Engineering with a specialisation in Big Data Analytics is a two-year full-time postgraduate programme recognised by the All-India Co...VIT Vellore is one of the top private engineering colleges in India and has a good reputation for its placement opportunities. The M.Tech. in Computing Science and Engineering with a specialisation in Big Data Analytics is a two-year full-time postgraduate programme recognised by the All-India Council for Technical Education (AICTE). Regarding career and placement opportunities in VIT Vellore for M.Tech. In Big Data Analytics, I found that companies like Reddys, Bosch, Deloitte, Morgan Stanley, Qualcomm, Ashok Leyland, Honda, Ford, Global Analytics, TCS, Cognizant, Accenture, Wipro, and Infosys among others actively take part in the placement and hiring processes with VIT.

s

How is the IILM Institute for Higher Education for an PGDM in Data Analytics?

Y

Yashika Goyal

Beginner-Level 5

2 weeks ago

IILM Institute for Higher Education for a PGDM in Data Analytics is good but not considered the best. It is more famous for its HR and Marketing specialisation and the placements in such areas are much more better off than others. Its is thus advisable to do major specialisation in above mentione...IILM Institute for Higher Education for a PGDM in Data Analytics is good but not considered the best. It is more famous for its HR and Marketing specialisation and the placements in such areas are much more better off than others. Its is thus advisable to do major specialisation in above mentioned areas but you can still opt for data analytics as your minor if you are keen to know about any particular subject.

A

Which course is better: B.Tech Computer Science and B.Tech Data Science? I have passed class 12th with 80% in CBSE board.

t

tarun mittal

Contributor-Level 10

2 weeks ago

Both B.Tech Computer Science and B.Tech Data Science are good courses. However, the choice between the two depends on your interests and career goals. B.Tech Computer Science is a four-year undergraduate course that deals with the study of computer applications and services. The course covers top...Both B.Tech Computer Science and B.Tech Data Science are good courses. However, the choice between the two depends on your interests and career goals. B.Tech Computer Science is a four-year undergraduate course that deals with the study of computer applications and services. The course covers topics such as programming languages, algorithms, computer networks, database management systems, software engineering, and more. B.Tech Data Science is a four-year undergraduate course that deals with the study of data analysis and management. The course covers topics such as data mining, machine learning, data visualization, Statistics and more. The syllabus for both courses varies from college to college. However, some common subjects taught in B.Tech Computer Science include Mathematics I & II, Physics I & II, Chemistry I & II, Programming in C/C+, Data Structures and Algorithms, Database Management Systems, Computer Networks, Operating Systems1. The syllabus for B.Tech Data Science includes subjects such as Discrete Structures, Engineering Physics Mechanical Workshop, Theory of Computation. I hope this helps. Let me know if you have any other questions.

N

I am learning Advance Excel. What should be my next step? Should I learn Power BI or SQL?

S

Sakshi Singh

Beginner-Level 3

3 weeks ago

After learning advanced Excel, you can consider learning either Power BI or SQL. Power BI is useful for data visualization and reporting, while SQL is valuable for managing and manipulating databases. Choose the skill that aligns with your career goals and industry demands. Keep in mind that havi...After learning advanced Excel, you can consider learning either Power BI or SQL. Power BI is useful for data visualization and reporting, while SQL is valuable for managing and manipulating databases. Choose the skill that aligns with your career goals and industry demands. Keep in mind that having knowledge of both skills can be beneficial.

G

Is there any government university/college which offers B.Tech Data Science in Haryana?

M

Mallikarjun yerra

Beginner-Level 1

3 weeks ago

Yes, government university/college that offers B.Tech data Science in Haryana.
Chaudhary Devi Lal University and Maharishi Dayanand University.

P

Piyush Kumar

Contributor-Level 7

3 weeks ago

Yes, there are government universities/colleges that offer B.Tech in Data Science in Haryana. One of the prominent ones is:
1. Chaudhary Devi Lal University, Sirsa
2. Maharishi Dayanand University, Rohtak.

S

How to prepare for M.Sc. Data Science integrated course entrance exam to get admission in PSG CIT?

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Vaibhav pal

Contributor-Level 9

a month ago

To prepare for the M.Sc. Data Science integrated course entrance exam in PSG CIT and other colleges, candidates can follow the below-mentioned tips and strategies:1. Understand the exam pattern and syllabus: Candidates should be aware of the exam pattern and syllabus of the entrance exam. They sh...To prepare for the M.Sc. Data Science integrated course entrance exam in PSG CIT and other colleges, candidates can follow the below-mentioned tips and strategies:
1. Understand the exam pattern and syllabus: Candidates should be aware of the exam pattern and syllabus of the entrance exam. They should check the official website of the college or university to get the latest information on the exam pattern and syllabus.
2. Solve previous year question papers: Candidates should solve previous year question papers to get an idea of the type of questions asked in the exam. This will help them to understand the exam pattern and the level of difficulty of the questions.
3. Take mock tests: Candidates should take mock tests to evaluate their preparation level. This will help them to identify their strengths and weaknesses and work on them accordingly.
4. Focus on the basics: Candidates should focus on the basics of mathematics, Statistics and computer Science. They should revise the fundamental concepts and formulas to solve the questions quickly and accurately.
5. Refer to study materials: Candidates can refer to study materials such as textbooks, reference books, and online resources to prepare for the entrance exam.
6. Time management: Candidates should manage their time effectively while preparing for the entrance exam. They should allocate sufficient time for each section and practice time-bound tests to improve their speed and accuracy. Therefore, candidates are advised to follow these tips and strategies to prepare for the M.Sc. Data Science integrated course entrance exam in PSG CIT and other colleges. They should also check the official website of the college or university for more information on the admission process, eligibility criteria, courses offered, fees, cutoff, and other relevant details.

A

Can a student learn data analytics if he/she is from the commerce/ humanities background?

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Shweta Yaduvanshi

Contributor-Level 6

a month ago

Ofcourse, If a student has willingness to learn something, he can learn anything with his full dedication. And when I talk about commerce or humanities background students, they have a very unique approach for analytics. It builds on the understanding of finance and management they gain over thei...Ofcourse, If a student has willingness to learn something, he can learn anything with his full dedication. And when I talk about commerce or humanities background students, they have a very unique approach for analytics. It builds on the understanding of finance and management they gain over their course. Their familiarities with numbers helps them derive useful information from numerical data. Their understanding of business also helps them make better decisions. So a commerce/ humanities student definitely go for analytics. Also analytics is a core which possess a wide opportunity with itself for your career.

B

Which colleges have bachelor's degree in data Science or data Science related fields in Mumbai?

N

NETHAJI MACHANI

Contributor-Level 8

a month ago

There are several colleges in Mumbai that offer Bachelor's degrees in data Science or related fields, including:KJ Somaiya College of Science and CommerceSt. Xavier's CollegeWilson CollegeMumbai University Institute of Distance and Open LearningSIES College of Arts, Science and CommercePlease not...There are several colleges in Mumbai that offer Bachelor's degrees in data Science or related fields, including:
KJ Somaiya College of Science and Commerce
St. Xavier's College
Wilson College
Mumbai University Institute of Distance and Open Learning
SIES College of Arts, Science and Commerce
Please note that some of these colleges may require a background in mathematics at the higher secondary level or may have specific mathematics requirements for admission. It is best to check with each individual college for their admission criteria.

A

Which is the best university for data scientist course? What is its fees?

52717601
Anshika Maurya

Contributor-Level 9

a month ago

There are several universities that offer Data Science programs, and the best university for you may depend on various factors such as your location, budget, programme requirements, and career goals. Here are some top universities offering Data Science programs along with their estimated fees:Mas...There are several universities that offer Data Science programs, and the best university for you may depend on various factors such as your location, budget, programme requirements, and career goals. Here are some top universities offering Data Science programs along with their estimated fees:
Massachusetts Institute of Technology (MIT): MIT offers a Master of Business Analytics programme with a focus on Data Science. The estimated fees for this programme are around $78,000 per year. Stanford University: Stanford offers a Master of Science in Statistics Data Science programme, with an estimated cost of around $56,000 per year. Carnegie Mellon University: Carnegie Mellon offers a Master of Computational Data Science programme, with an estimated cost of around $48,000 per year. University of California, Berkeley: UC Berkeley offers a Master of Information and Data Science programme, with an estimated cost of around $60,000 for the entire programme. University of Michigan-Ann Arbor: The University of Michigan-Ann Arbor offers a Master of Applied Data Science programme with an estimated cost of around $70,000 for the entire programme. It's important to note that the fees mentioned here are subject to change, and you should visit the official websites of these universities for the most up-to-date information on programme fees and requirements.

V

Which colleges offer Data Science courses? What are the job opportunities in data science?

M

Mohd Ahsan

Contributor-Level 6

a month ago

IIT Delhi, Calcutta, Roorkee and Madras are providing this course in online mode. In private universities, Chandigarh University online, Amity university online, Jain online university are providing this course in online mode. There are two types of course in Data Science 1-Undergraduate Data Sci...IIT Delhi, Calcutta, Roorkee and Madras are providing this course in online mode. In private universities, Chandigarh University online, Amity university online, Jain online university are providing this course in online mode. There are two types of course in Data Science
1-Undergraduate Data Science
2-postgraduate Data Science.
There are very few government Data Science colleges in India. You can consider Aligarh Muslim University and Gujarat University if you are searching for government colleges. Data Science is one of the growing sectors of India. Al and Machine learning is a part of Data Science.

M

How can I decide between University of Rochester MS in Data Science and Carnegie Mellon MS in MISM Business Intelligence and Data Analytics?

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Prince Gupta

Contributor-Level 6

a month ago

Decide on the basis of placement, the facilities that the college provide, how is the facility behavior towards the students. The exposure and the extra curricular activities they organize, and the most important thing is to ask the students directly if possible.

B

Which college offers BCA in artificial intelligence and data science course at in Chennai at low fee structure?

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NETHAJI MACHANI

Contributor-Level 8

2 months ago

I can suggest a few colleges in Chennai that offer BCA in Artificial Intelligence and Data Science. Madras Christian College: This college offers a BCA course in Artificial Intelligence and Data Science. The fees are comparatively low when compared to other private colleges. Loyola College: Anoth...I can suggest a few colleges in Chennai that offer BCA in Artificial Intelligence and Data Science. Madras Christian College: This college offers a BCA course in Artificial Intelligence and Data Science. The fees are comparatively low when compared to other private colleges.
Loyola College: Another reputed college in Chennai that offers a BCA course in Artificial Intelligence and Data Science. The fees might be slightly higher than other colleges, but the quality of education is worth the price.
DG Vaishnav College: This college offers a BCA course in Artificial Intelligence and Data Science. The fees are reasonable, and the college has a good reputation for its quality of education. It is always best to research the colleges and their fee structures before making a final decision. Also, keep in mind that the fees might vary depending on the year of admission and other factors.

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Can I become a data analyst after studying arts with Maths?

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Sonali Kumari singh

Contributor-Level 8

2 months ago

Yes, it is possible to become a data analyst with an arts background and a strong foundation in mathematics. Data analysis requires a combination of analytical and problem-solving skills, along with technical expertise in areas such as Statistics programming, and data visualization. If you have a...Yes, it is possible to become a data analyst with an arts background and a strong foundation in mathematics. Data analysis requires a combination of analytical and problem-solving skills, along with technical expertise in areas such as Statistics programming, and data visualization. If you have a background in mathematics, you may already have some of the foundational skills necessary to become a data analyst. Additionally, you can develop your skills further by taking online courses, attending workshops, or pursuing a degree or certification in data analysis or a related field. It's also important to gain experience working with data by taking on projects, internships, or entry-level positions in the field. This will give you hands-on experience and help you build a portfolio of work that demonstrates your skills to potential employers. Overall, becoming a data analyst after an arts background with Maths is possible, but it will require dedication and a willingness to learn and develop new skills.

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I'm currently working in Capgemini as a data analyst. I'm thinking of changing domain since my current domain is getting automated.

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Khushoo Kohar

Contributor-Level 10

2 months ago

It's a good idea to consider changing your domain if you feel that your current job is getting automated. This will not only help you stay relevant in the job market but also provide you with new opportunities for growth and learning. Here are a few steps that you can take to switch domains succe...It's a good idea to consider changing your domain if you feel that your current job is getting automated. This will not only help you stay relevant in the job market but also provide you with new opportunities for growth and learning. Here are a few steps that you can take to switch domains successfully:
Identify your interests and skills: Take some time to reflect on your interests and skills. This will help you identify the domains that you are interested in and where your skills can be best utilized. Research different domains: Conduct research on different domains that you are interested in. This will help you gain a better understanding of the job market, the skills required, and the growth opportunities available. Gain additional skills and qualifications: If you need additional skills or qualifications to switch domains, consider taking courses or getting certified. This will help you demonstrate your commitment to the new domain and make you a more attractive candidate. Network with professionals in the new domain: Networking is an important part of the job search process. Connect with professionals in the new domain through social media, networking events, and online communities. This will help you gain insights into the industry and potential job opportunities. Update your resume and cover letter: Your resume and cover letter should highlight your transferable skills and demonstrate your interest and commitment to the new domain. Switching domains can be a challenging process, but with the right approach and mindset, you can successfully transition into a new career path that aligns with your interests and goals.

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Saswat Padhi

Beginner-Level 4

2 months ago

If you are looking to change your domain as a data analyst, there are several options available to you. Here are a few suggestions:Data Science: Data Science is a popular and in-demand field that involves using statistical and machine learning techniques to extract insights from data. As a data a...If you are looking to change your domain as a data analyst, there are several options available to you. Here are a few suggestions:
Data Science: Data Science is a popular and in-demand field that involves using statistical and machine learning techniques to extract insights from data. As a data analyst, you already have a strong foundation in data analysis, which can be helpful in transitioning to data Science. Business Intelligence (BI): Business Intelligence involves analyzing data to support business decision-making. As a data analyst, you may already have experience with data visualization tools and techniques, which can be useful in a BI role. Data Engineering: Data engineering involves designing, building, and maintaining the infrastructure required to support data analysis. If you have experience with databases, data warehousing, and ETL (extract, transform, load) processes, you may be well-suited for a data engineering role. Cybersecurity: Cybersecurity is an emerging field that involves protecting computer systems and networks from unauthorized access or attacks. As a data analyst, you may have experience with identifying and analyzing patterns in data, which can be useful in identifying potential security threats. Ultimately, the best choice for your new domain will depend on your interests, skills, and career goals. It may be helpful to speak with a career counselor or network with professionals in these fields to gain more insight into potential career paths.

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