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Data Science Interview

Track :

Programming

Lessons no : 12

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What will you learn in this course?
  • Master key data science interview questions and effective responses for data analysis, machine learning, and statistical modeling
  • Apply data visualization and storytelling techniques to communicate insights clearly in interviews
  • Demonstrate proficiency in programming languages like Python and R for data manipulation and analysis during interviews
  • Evaluate and select appropriate machine learning algorithms for real-world data science problems
  • Interpret statistical results and explain their implications confidently to interviewers
  • Prepare for technical assessments involving coding, algorithms, and data analysis tasks in data science interviews
  • Identify essential data science concepts, including data cleaning, feature engineering, and model evaluation
  • Develop strategies to showcase practical experience and project portfolio effectively in data science interviews

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Lessons | 12

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Yağmur 

Çok verimli bir program oldu .
2022-03-28

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A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, statistician and computer professional.