Which languages must I know to become a 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)

Python. Python has been among the most popular data science languages in the last several years. ... SQL. ... R. ... VBA (Visual Basic for Applications) ... Julia. ... JavaScript. ... Java. ... Scala.
Comments

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

Python. SQL. R. VBA (Visual Basic for Applications) Julia. In addition to the above, there are other top data science coding languages that add value in specialized situations, including: JavaScript. Java. Scala.
Comments

I am online Quran teacher 7 years

Python. SQL. R. VBA (Visual Basic for Applications) Julia. In addition to the above, there are other top data science coding languages that add value in specialized situations, including: JavaScript. Java. Scala.
Comments

Data science enthusiast with 9 years of work experience

to become a Data Scientist , one must be proficient in Python and SQL moreover its very important to learn statistics concepts .
Comments

View 2 more Answers

Related Questions

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
6

I want to get into data science but I dont have any prior knowledge on any of the programing languages, how do I go about it?

Easiest way to get started is with simlpe tools like excel and regression. Doesn't require programming language, basic maths and statistics would suffice to get the grasp at beginner level. Next, more...
Likith
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 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

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

Ask a Question

Related Lessons

Data Science & Analytics Modules
Overview of Data Science & Analytics Modules Data Science and Analytics programs typically consist of structured modules that build foundational knowledge and practical skills in data handling,...

Decision Tree or Linear Model For Solving A Business Problem
When do we use linear models and when do we use tree based classification models? This is common question often been asked in data science job interview. Here are some points to remember: We can use any...

Tuning Parameters Of Decision Tree Models
Implementations of the decision tree algorithm usually provide a collection of parameters for tuning how the tree is built. The defaults in Rattle often provide a basically good tree. They are certainly...

Types of Data
The data, which is under our primary consideration, contains a series of observations and measurements, made various subjects, patients, objects or other entities of interest. They might comprise the results...

A Better Way to Learn Data Science
A lot of candidates are showing interest to learn Data Science and Business Analytics. Based on my experience, I would recommend candidates following tips Always think of business scenario, what is...
D

Dni Institute

0 0
0

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 >

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 >

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