What background is required for data science?

Asked by Last Modified  

5 Answers

Follow 2
Answer

Please enter your answer

C language Faculty (online Classes )

Data scientists typically need at least a bachelor's degree in computer science, data science, or a related field. However, many employers in this field prefer a master's degree in data science or a related discipline. Data analysts and data engineers usually need a bachelor's degree.
read more
Data scientists typically needat least a bachelor's degree in computer science, data science, or a related field. However, many employers in this field prefer a master's degree in data science or a related discipline. Data analysts and data engineers usually need a bachelor's degree. read less
Comments

I am online Quran teacher 7 years

Data scientists typically need at least a bachelor's degree in computer science, data science, or a related field. However, many employers in this field prefer a master's degree in data science or a related discipline. Data analysts and data engineers usually need a bachelor's degree.
Comments

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

To get into data science, you need: 1. **Math and Stats**: Basics of statistics, probability, and algebra. 2. **Programming**: Skills in Python or R. 3. **Data Handling**: Know how to use tools like SQL and libraries like pandas and NumPy. 4. **Machine Learning**: Understanding algorithms and tools...
read more
To get into data science, you need: 1. **Math and Stats**: Basics of statistics, probability, and algebra. 2. **Programming**: Skills in Python or R. 3. **Data Handling**: Know how to use tools like SQL and libraries like pandas and NumPy. 4. **Machine Learning**: Understanding algorithms and tools like scikit-learn or TensorFlow. 5. **Visualization**: Ability to create charts with tools like Matplotlib, Seaborn, or Tableau. 6. **Domain Knowledge**: Understand the industry you're working in, like finance or healthcare. A background in computer science, math, or stats helps, but self-study and projects are also important. read less
Comments

Passionate Assistant Professor in Mathematics

Data science includes AI ,MachineLearning ,Satictics, presentation technique and deployment tools . DS helps to predict the future trends, what measures can be taken. Anyone with python programming, Statistics and presentation skill.
Comments

Passionate Assistant Professor in Mathematics

anyone with programming skill and mathematics and a good presentation skill
Comments

View 3 more Answers

Related Questions

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

Digital Marketing vs Data Science: Which has a more fruitful career?

After Covid, the below-mentioned jobs below would have more demand in the future. Digital Marketing Website Development Copy Writing & Content Writing Social Media Marketing Graphics Designing Video Editing Blogging Translation
Ranjit

Is that possible to do machine learning and Data science course after B.com, MBA Finance and marketing students and how is career growth? 

People from any background can learn Machine Learning & Data Science concepts. But all it requires is you need to stay focus and continuous practice. It can be applied in any domain like Finance, Marketing,...
Priya
What are some suggested certifications for an aspiring data scientist?
Certified Analytics Professional (CAP) Cloudera Data Platform Generalist Certification. Data Science Council of America (DASCA) Senior Data Scientist (SDS) Data Science Council of America (DASCA)...
Trupti
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

REFERENCE BOOKS FOR DATA SCIENCE
Dear All, You can use the following books to master the DATA SCIENCE Concepts 1) First Course in Probability-Ronald Russel 2)Applied Regression Analysis-Drapper and Smith 3)Applied Multivariate Analysis-Richard...

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...

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,...

TOP 10 Tools for Data Science
TOP 10 Tools for Data Science1. Python2. SQL3. R4. Tableau5. PowerBI6. Java7. Julia8. Scala9. SAS10. ExcelTOP 10 Websites for Data Science1. Coursera3. EdX4. Udacity5. Kaggle6. Analytics Vidhya7. KDNuggets8....

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...

Recommended Articles

Applications engineering is a hot trend in the current IT market.  An applications engineer is responsible for designing and application of technology products relating to various aspects of computing. To accomplish this, he/she has to work collaboratively with the company’s manufacturing, marketing, sales, and customer...

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 >

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 >

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