What are the different domains in data scientist?

Asked by Last Modified  

4 Answers

Follow 2
Answer

Please enter your answer

Online Mathematics tutor with 8 years experience(Online Classes for 10th to 12th)

The domains of data science offer a wide range of opportunities for professionals seeking a career in this field. Whether you choose to specialize in data analysis, machine learning, big data analytics, or NLP, there is a wealth of knowledge to explore and skills to acquire.
Comments

Elevating Understanding, One Equation at a Time: Your Path to Mathematical Mastery Begins Here

Data science is an interdisciplinary field that involves the collection, organization, analysis, and interpretation of data to extract valuable insights and support decision-making processes. It combines elements from various disciplines such as statistics, mathematics, computer science, and domain k...
read more
Data science is an interdisciplinary field that involves the collection, organization, analysis, and interpretation of data to extract valuable insights and support decision-making processes. It combines elements from various disciplines such as statistics, mathematics, computer science, and domain knowledge. read less
Comments

I am online Quran teacher 7 years

Data science is an interdisciplinary field that involves the collection, organization, analysis, and interpretation of data to extract valuable insights and support decision-making processes. It combines elements from various disciplines such as statistics, mathematics, computer science, and domain k...
Comments

Healthcare Finance E-commerce/Retail Marketing/Advertising Telecommunications Manufacturing/Supply Chain Energy/Utilities Government/Public Policy Technology/Software Development Transportation/Logistics Each domain involves using data analysis and modeling techniques to solve specific...
read more
Healthcare Finance E-commerce/Retail Marketing/Advertising Telecommunications Manufacturing/Supply Chain Energy/Utilities Government/Public Policy Technology/Software Development Transportation/Logistics Each domain involves using data analysis and modeling techniques to solve specific industry challenges and optimize processes. read less
Comments

View 2 more Answers

Related Questions

I have 2+ yrs working experience in BI domain. Can I pursue Data science for a job change? Will I get Job opportunity as per my experience or not in field of data science? R or python what to chose?
Hi Asish you can choose R or Python selecting programming tools is not criteria learning Deep Analytics is most important you should focus on Mathematicsfor (classification algorithms) statistics(EDA...
Asish
0 0
8
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
Which course should a HR professional go for Data Science R or Data Science Python?
If you are from a technical background, do Python. Otherwise, do the R Course.
Aditti
Hi, currently I am working as associate systems engineer. But I am really interested in data science. How can I become a data scientist. Please suggest me a path.
Let me comprehend based on my 20 years of working experience. You need to know few things to become a data scientist. 1) Statistics and Mathematics : It is like a doctor having good understanding of...
Vamsi

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

Ask a Question

Related Lessons

Topic Modeling in Text Mining : LDA
Latent Dirichlet allocation (LDA) Topic modeling is a method for unsupervised classification of text documents, similar to clustering on numeric data, which finds natural groups of items even when we’re...

Principal component analysis- A dimension reduction technique
In simple words, principal component analysis(PCA) is a method of extracting important variables (in form of components) from a large set of variables . It extracts low dimensional set of features from...

4 Key Things to Learn for Data Science
1. Theory:Use Coursera and EdX for theory, concepts, and applications of probability, statistics, linear algebra, calculus, and machine learning.2. Data Visualisation:Tableau and PowerBI are easy-to-use...

Learn Data Science In 8 Steps
8 Steps To Learn Data Science There have been a lot of surveys over the past few years on the educational background of data scientists. As a result, there have also been many different results. In the...

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...

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 >

Almost all of us, inside the pocket, bag or on the table have a mobile phone, out of which 90% of us have a smartphone. The technology is advancing rapidly. When it comes to mobile phones, people today want much more than just making phone calls and playing games on the go. People now want instant access to all their business...

Read full article >

Information technology consultancy or Information technology consulting is a specialized field in which one can set their focus on providing advisory services to business firms on finding ways to use innovations in information technology to further their business and meet the objectives of the business. Not only does...

Read full article >

Business Process outsourcing (BPO) services can be considered as a kind of outsourcing which involves subletting of specific functions associated with any business to a third party service provider. BPO is usually administered as a cost-saving procedure for functions which an organization needs but does not rely upon to...

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