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Data Science > What background is required for data science?
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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,...
Priya
Hi, I am Anand having 4 years of experience in IT Recruitment but I have interest to build my career in HR Data Analytics. Please do let me know if anyone can help me on this?
Hi Anant, Try to make your future in Data Analytics, it will be good. Thanks - Syed.
Anant
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Hi, currently I am working as associate systems engineer. But I am really interested in data science. How can I become a data scientist. Please suggest me a path.
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