Data Science

Computer Science

Data science is an interdisciplinary field that uses scientific methods, algorithms, and statistics to extract knowledge and insights from structured and unstructured data. It combines mathematics, statistics, computer science, and domain expertise to analyze large datasets, find patterns, build predictive models, and inform decision-making for businesses and other organizations. 

4.0 (7 ratings)

What you’ll learn

Data ingestion: The lifecycle begins with the data collection, both raw structured and unstructured data from all relevant sources using a variety of methods.

Data storage and data processing: Since data can have different formats and structures, companies need to consider different storage systems based on the type of data that needs to be captured.

Data analysis: Here, data scientists conduct an exploratory data analysis to examine biases, patterns, ranges, and distributions of values within the data.

Data ingestion: The lifecycle begins with the data collection, both raw structured and unstructured data from all relevant sources using a variety of methods.

Data storage and data processing: Since data can have different formats and structures, companies need to consider different storage systems based on the type of data that needs to be captured.

Data analysis: Here, data scientists conduct an exploratory data analysis to examine biases, patterns, ranges, and distributions of values within the data.

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Contents

Subjects

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Programming & Databases (The Tool Kit)
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Machine Learning (The Core Technology)
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Communication & Context (The Application)
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Applied Data Science
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Image Classification with Deep Learning
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Data Structures and Algorithms (DSA)
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Chapters

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Chapter 01
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Units

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Unit 01
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Requirements

Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI) and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning.

Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI) and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning.

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Course Review

Nice course...very helpful

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Superb

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