What are the prerequisities for data science?

Asked by Last Modified  

4 Answers

Follow 1
Answer

Please enter your answer

C language Faculty (online Classes )

Mathematics, like probability, statistics, algebra, and calculus. Object-oriented programming languages like Java, C, or Python. Structured Query Language (SQL) for database queries.
Comments

I am online Quran teacher 7 years

Mathematics, like probability, statistics, algebra, and calculus. Object-oriented programming languages like Java, C, or Python. Structured Query Language (SQL) for database queries.
Comments

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

To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts...
read more
To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts and data visualization techniques is also important. Additionally, critical thinking skills and domain knowledge in areas like finance or healthcare are beneficial. Continuous learning and curiosity are key to mastering data science. read less
Comments

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

To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts...
read more
To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts and data visualization techniques is also important. Additionally, critical thinking skills and domain knowledge in areas like finance or healthcare are beneficial. Continuous learning and curiosity are key to mastering data science. read less
Comments

View 2 more Answers

Related Questions

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.

which is the best college or institute for Data analysis course certificate  with Fresher placement support  in pune?

Hi.. There are the institutes conducting online courses. Like for example, Simplilearn Edureka. Particularly in pune, ExcelR* Hope it will helpful. *before joining compare with other institutes.
Priya
0 0
5

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

Ask a Question

Related Lessons

R vs Statistics
I frequently asked the below question from my students: 'Do I You need Statistics to learn R Programming?' The answer is, NO. If you want to learn R programming only, Stat is not required. You can be...

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...


Approach for Mastering Data Science
Few tips to Master Data Science 1)Do not start your learning with some software like R/Python/SAS etc 2)Start with very basics like 10th class Matrices/Coordinate Geometry/ 3) Understand little bit...

Mathematics used in various Machine learning concepts
Mathematics is the building block for data science. This blog focuses on various mathematical concepts that are used in machine learning. The mathematical concepts used for machine learning are categorized...

Recommended Articles

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 >

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 >

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