Which is better to study, data science or big data?

Asked by Last Modified  

3 Answers

Follow 1
Answer

Please enter your answer

C language Faculty (online Classes )

Comparing data science and big data analytics in terms of superiority is subjective as they serve different purposes. Data science focusses on extracting insights and building predictive models, while big data analytics emphasises processing and analysing large volumes of data.
Comments

I am online Quran teacher 7 years

Comparing data science and big data analytics in terms of superiority is subjective as they serve different purposes. Data science focusses on extracting insights and building predictive models, while big data analytics emphasises processing and analysing large volumes of data.
Comments

Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Choose data science if you want to analyze data for insights and predictions using techniques like statistics and machine learning. Choose big data if you're interested in working with large volumes of data and technologies like Hadoop and Spark for processing and managing data infrastructure. Both fields...
read more
Choose data science if you want to analyze data for insights and predictions using techniques like statistics and machine learning. Choose big data if you're interested in working with large volumes of data and technologies like Hadoop and Spark for processing and managing data infrastructure. Both fields are valuable and can lead to rewarding careers, so consider your interests and career goals when deciding. read less
Comments

View 1 more Answers

Related Questions

Hi, anyone personal tutor who can teach data science with 100% job guarantee?
Yes,we have sarted such program. The course is designed to make you expert in 4 month time(60 Hourse course+60 Hours project work) 1)Machine Learning 2) Deep learning ,NLP and Speech to text with expert...
Kunal
What are Newton's laws?
Newton's First Law states that an object will remain at rest or in uniform motion in a straight line unless acted upon by an external force. It may be seen as a statement about inertia, that objects will...
Meenakshi S.

What is difference between data science and SAP. Which is best in compare for getting jobs as fast as possible

Hi Both have different uniquness with importance value. you will get a good prospectives on SAP for career growth.
Ravindra

Is that possible to do machine learning course after b.com,mba Finance and marketing? 

Yes, you can. But as we know very well machine learning needs some programming fundamentals as well. So you have to go through a little touch up of programming and algorithms.
Priya
For what purpose Bigdata is used?. I am dotnet trainer . Is is useful for me with microsoft technology to learn it?
Hadoop Online Training in Depth, Writable and WritableComparable Level of coding. Technologies: Core Java, Hadoop, HDFS, Map Reduce, Advance HDFS, Advance MapReduce, Hive, Pig, Advanced Programming...
Sarita L

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

What is Logistic Regression Model ?
Logistic regression is a form of regression which is used when the dependent is a dichotomy (yes or no) and the independents of any type (either continuous or binary). Logistic regression can be used...

Linear Regression and its types
Linear Regression A Linear regression is a Regression Analysis technique which is used for modeling the predictions on the continuous data. A Linear Regression can be modelled using 1. A Simple Regression...

Regularisation in Machine Learning
Regularization In Machine Learning, Regularization is the concept of shrinking or regularizing the coefficients towards zero. It helps the model to prevent overfitting. Overfitting in Machine Learning...

What is Time Series?
What is a Time Series? Time Series data is a series of data points indexed or listed or graphed with an equally spaced period. Time series forecasting is the use of the model to predict future values...

Big Data & Hadoop - Introductory Session - Data Science for Everyone
Data Science for Everyone An introductory video lesson on Big Data, the need, necessity, evolution and contributing factors. This is presented by Skill Sigma as part of the "Data Science for Everyone" series.

Recommended Articles

Hadoop is a framework which has been developed for organizing and analysing big chunks of data for a business. Suppose you have a file larger than your system’s storage capacity and you can’t store it. Hadoop helps in storing bigger files than what could be stored on one particular server. You can therefore store very,...

Read full article >

Microsoft Excel is an electronic spreadsheet tool which is commonly used for financial and statistical data processing. It has been developed by Microsoft and forms a major component of the widely used Microsoft Office. From individual users to the top IT companies, Excel is used worldwide. Excel is one of the most important...

Read full article >

Applications engineering is a hot trend in the current IT market.  An applications engineer is responsible for designing and application of technology products relating to various aspects of computing. To accomplish this, he/she has to work collaboratively with the company’s manufacturing, marketing, sales, and customer...

Read full article >

Whether it was the Internet Era of 90s or the Big Data Era of today, Information Technology (IT) has given birth to several lucrative career options for many. Though there will not be a “significant" increase in demand for IT professionals in 2014 as compared to 2013, a “steady” demand for IT professionals is rest assured...

Read full article >

Looking for Data Science Classes?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you