Why do so many people think that computer science degrees are the best course of study for careers in analytics and data science?

Asked by Last Modified  

1 Answer

Follow 1
Answer

Please enter your answer

One word - Ignorance. To be successful in analytics or data science, you need a good bckground in statistics. That is the reason why many firms prefer hiring Statisticians to computer science streams for Analytics roles.
Comments

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

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
What are the topics covered in Data Science?
Data science includes: 1. **Statistics**: Basics of analyzing data.2. **Programming**: Using languages like Python or R.3. **Data Wrangling**: Cleaning and organizing data.4. **Data Visualization**: Making...
Damanpreet
0 0
6

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
6

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

Ask a Question

Related Lessons

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...

Practical use of Linear Regression Model in Data Science
Multiple regressions are an extension of simple linear regression. It is used when we want to predict the value of a continuous variable based on the value of two or more other independent or predictor...

Use Data Science To Find Credit Worthy Customers
K-nearest neighbor classifier is one of the simplest to use, and hence, is widely used for classifying dynamic datasets. Click on the link to see how easy it is to classify credit-worthy vs credit-risk...

Things to learn in Python before choosing any Technological Vertical
Day 1: Python Basics Objective: Understand the fundamentals of Python programming language. Variables and Data Types (Integers, Strings, Floats, Booleans) Basic Input and Output (using input()...

1st Lesson -Data Science -Introduction
Here, I am going to cover on - What is Data Science, skills required to a data scientist and general tasks that data scientist do What is Data Science?This is an exciting discipline where we take the...

Recommended Articles

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 >

Software Development has been one of the most popular career trends since years. The reason behind this is the fact that software are being used almost everywhere today.  In all of our lives, from the morning’s alarm clock to the coffee maker, car, mobile phone, computer, ATM and in almost everything we use in our daily...

Read full article >

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 >

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