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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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,...
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