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Big Data Scientist

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Salaries for Big Data Scientist

City
Median
New York
$210,000
San Francisco
$187,000
Seattle
$232,000
See all salaries
City
Median
New York
$210,000
San Francisco
$187,000
Seattle
$232,000
Austin
$154,000
Toronto
$178,000
London
£95,000
Paris
€80,000
Berlin
€99,000
Tel Aviv
₪540,000
Singapore
S$136,000
Beijing
¥736,000
Shanghai
¥586,000
Shenzhen
¥768,000
Bengalaru
₹3,210,000
Delhi
₹1,647,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Big Data Scientist

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We've curated 0 courses to help you on your path to Big Data Scientist. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

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Provides a comprehensive overview of big data analytics for healthcare, covering topics such as data management, data analysis, and data visualization. It good resource for students who are interested in learning about the technical aspects of big data.
Provides a comprehensive overview of big data, covering topics such as data management, data analysis, and data visualization. It good resource for students who are interested in learning about the technical aspects of big data.
Provides a comprehensive overview of big data security, covering topics such as data protection, data encryption, and data access control. It good resource for students who are interested in learning about the technical aspects of big data.
Provides a comprehensive overview of big data, covering topics such as data management, data analysis, and data visualization. It good resource for students who are interested in learning about the technical aspects of big data.
Provides a hands-on approach to big data analytics, covering topics such as data exploration, data cleaning, and data modeling. It good resource for students who are interested in learning how to use big data to solve real-world problems.
Provides a comprehensive overview of TensorFlow, an open-source framework for machine learning. It good resource for students who are interested in learning about the technical aspects of big data.
Provides a comprehensive overview of Hadoop, an open-source framework for storing and processing big data. It good resource for students who are interested in learning about the technical aspects of big data.
Provides a comprehensive overview of Spark, an open-source framework for processing big data. It good resource for students who are interested in learning about the technical aspects of big data.
Provides a comprehensive overview of Flink, an open-source framework for processing big data. It good resource for students who are interested in learning about the technical aspects of big data.
Provides a business-oriented overview of data science, covering topics such as data mining, data analysis, and data visualization. It good resource for students who are interested in understanding how big data can be used to improve business decision-making.
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