Languages of Data Science

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the criteria for determining the language to learn in data science and introduces various roles in the field. Here's a summary:

Criteria for Determining the Language to Learn:

  1. Consider Python, R, and SQL as recommended languages for starters.
  2. Other languages like Scala, Java, C++, and Julia have specific features and are popular.
  3. JavaScript, PHP, Go, Ruby, and Visual Basic have unique use cases.
  4. Choose a language based on your needs, the problems you are solving, and your target audience.
  5. Consider factors such as your company, role, and the age of existing applications when deciding on a language.

Roles in Data Science:

  1. Business Analyst
  2. Database Engineer
  3. Data Analyst
  4. Data Engineer
  5. Data Scientist
  6. Research Scientist
  7. Software Engineer
  8. Statistician
  9. Product Manager
  10. Project Manager

In summary, the video emphasizes the importance of selecting a language based on the specific needs and problems you aim to address in data science. Additionally, it introduces various roles available for individuals interested in pursuing a career in data science.

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