Practical Data Science using Python - Data Science Technologies and Analytics

Practical Data Science using Python - Data Science Technologies and Analytics

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial covers the use of Numpy and Pandas for data management, visualization libraries like Matplotlib and Seaborn, and advanced analytics tools such as Tableau and SAS. It emphasizes the importance of Python in data science, introduces machine learning concepts, and explains the data science process from raw data to wisdom. The tutorial also differentiates between analytics and data science, highlighting the use of machine learning for complex problem-solving.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some advanced analytics tools mentioned in the text?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What role does Python play in data science projects?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the different types of machine learning algorithms mentioned?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the importance of data cleaning in the data science process.

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