What background is required for data science?

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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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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
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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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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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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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You are saying that you are from non technical background so it is better to choose Data science even lot of people from commerce group's joining in this. You should have a passion to learn then there is a lot of opportunities out side. All the best
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