What is the difference between data science and statistics?

Asked by Last Modified  

4 Answers

Follow 2
Answer

Please enter your answer

John

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

Data scientists compare multiple models before selecting the most accurate one. Statistics typically begins with a simple model, such as linear regression, to analyze data and check its consistency against the model hypothesis.
Comments
Dislike Bookmark

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

Data scientists compare multiple models before selecting the most accurate one. Statistics typically begins with a simple model, such as linear regression, to analyze data and check its consistency against the model hypothesis.
Comments
Dislike Bookmark

I am online Quran teacher 7 years

Data scientists compare multiple models before selecting the most accurate one. Statistics typically begins with a simple model, such as linear regression, to analyze data and check its consistency against the model hypothesis.
Comments
Dislike Bookmark

Data science and statistics both involve the analysis of data, but they approach it from different perspectives and with different objectives. Statistics focuses on the collection, organization, analysis, interpretation, and presentation of data to make inferences and predictions about populations based...
read more
Data science and statistics both involve the analysis of data, but they approach it from different perspectives and with different objectives. Statistics focuses on the collection, organization, analysis, interpretation, and presentation of data to make inferences and predictions about populations based on samples. It emphasizes the mathematical theory behind probability, distributions, and hypothesis testing. On the other hand, data science is a broader field that encompasses statistics but also incorporates other disciplines like computer science, machine learning, and domain expertise. Data science aims to extract insights, patterns, and knowledge from data using a combination of statistical methods, computational tools, and domain-specific knowledge. It involves data collection, preprocessing, analysis, modeling, and visualization to uncover actionable insights and drive decision-making. In summary, while statistics is a fundamental component of data science, data science is a multidisciplinary field that goes beyond statistics to encompass various techniques and tools for extracting value from data in diverse applications. read less
Comments
Dislike Bookmark

View 2 more Answers

Related Questions

Which are the best course, big data or data science, for beginners with a non-tech background?
You are saying that you are from non technical background so it is better to choose Data science even lot of people from commerce group's joining in this. You should have a passion to learn then there is a lot of opportunities out side. All the best
Priya
I have been in the teaching field for 4+ years working as an assistant professor now I need to get into a software field. Basically, I doesn't know much about programming. I need suggestions on which field it would be good.
Hello Narasimha, Nice to hear that you served for 4.5yrs as asst professor and teaching is one of the best jobs you can do. To pursue the career in the software field, It must to have a programming background,...
Narasimha
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
View Comments8
How to learn Data Science?
Hi, First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability,...
Hdhd
0 0
View Comments6
How to learn Data Science?
Data Science is a vast field. First of all you should learn statistics which is very important in Data Science field. Then you need to learn about basic Data Analytics and concepts. Languauges like SAS,...
Hdhd
0 0
View Comments6

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

Ask a Question

Related Lessons

Discrimination, classification and pattern recognition
The importance of classification in science has already been remarked upon inChapter 6, where techniques were described for examining multivariate data forthe presence of relatively distinct groups or...

Rajendra M.

0 0
View Comments0
Basics of K means classification- An unsupervised learning algorithm
K-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. The procedure follows a simple and easy way to classify a given data set with n objects through...

Ashish R.

0 0
View Comments0
Difference between List and List Comprehension

Prashant S.

1 0
View Comments0
What it takes to become a Data Scientist?
Most of the research organizations and industry leading publications suggested a huge shortage of persons with deep Data Science skills. Also, increasing number of candidates are aspiring to become a Data...
D

Dni Institute

2 0
View Comments1
Data Scientist Vs Data Analyst
Data Scientist – Rock Star of IT A Data Scientist is a professional who understands data from a business point of view. He is in charge of making predictions to help businesses take accurate decisions....

Ramesh R.

4 0
View Comments0

Recommended Articles

Learn Hadoop and Big Data

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 >

Make a Career as a BPO Professional

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 >

8 Hottest IT Careers of 2014!

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 >

Learn Microsoft Excel

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 >

Find Data Science Classes near you
Data Science Classes in Bangalore
Data Science Classes in Hyderabad
Data Science Classes in Pune
Data Science Classes in Chennai
Data Science Classes in Delhi
Data Science Classes in Mumbai
Data Science Classes in Noida
Data Science Classes in Kolkata
Data Science Classes in Gurgaon
Data Science Classes in Ghaziabad

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