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What background is required for data science?

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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.
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Passionate Assistant Professor in Mathematics

anyone with programming skill and mathematics and a good presentation skill
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My teaching experience 12 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.
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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...
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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
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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.
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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.

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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'm looking for a freelance data science trainer to get the training as most of the institutions are expensive, and they don't allow monthly instalments. I'm looking for a trainer who accepts the fees in monthly instalments because I'm an entry-level working professional and I can only afford to pay a part of the full fees from my monthly salary.
Hi, I will support based on your requirments.
Mahesh
Hi, I am looking for a managerial position in health care analytics sector. I have a background of Bachelors in Occupational Therapy and a Masters in Public Health Administration. I have more than 7 years experience of working with public health data, bio-statistics, epidemiological analysis. Currently working as a Sr. Epidemiologist in Hyderabad. I have an expertise in disease forecasting and scientific writing. Please suggest what course I should take up to become an expert in health care analytics domain, so that I can apply for mid level managerial positions. I am currently based at Hyderabad.
you consider "Healthcare Analytics Certificate Program" by UC Davis. Refer to https://extension.ucdavis.edu/certificate-program/healthcare-analytics-certificate-program
Thirumugam
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6

I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for  training. Pease lemme know how i can prepare myself.
First of all you start leaning following. 1.Database(Sql,Nosql) 2 Python,Pandas,Numpy 3 Basic Linux,Big Data(Hadoop,Scala,Spark) 4. Machine Learning 5. Deep Learning
Vishal

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

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