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Contents - Lessons & Practice

Business · Computer Science · Math

Principles of Data Science

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Principles of Data Science

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Questions from the 10 chapters of Principles of Data Science. Each item asks for a term, a definition, or a claim the chapter itself states.

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Principles of Data Science

10 lessons

One lesson for each chapter of Principles of Data Science, in the book’s order. The lesson teaches what that chapter says you need to know, then checks it.

  1. 1What Are Data and Data Science?Data science is a field of study that investigates how to collect, manage, and analyze data of all types in order to retrieve meaningful information.
  2. 2Collecting and Preparing DataThe gathered data is crucial for making sound interpretations and gaining meaningful insights.
  3. 3Descriptive Statistics: Statistical Measurements and Probability DistributionsThese measures can help indicate where the bulk of the data is concentrated and are often called the data’s central tendency .
  4. 4Inferential Statistics and Regression AnalysisData scientists interested in inferring the value of a population truth or parameter such as a population mean or a population proportion turn to inferential statistics.
  5. 5Time Series and ForecastingTime series analysis allows for the examination of data points collected or recorded at specific time intervals, enabling the identification of trends, patterns, and seasonal variations crucial for making informed…
  6. 6Decision-Making Using Machine Learning BasicsA machine learning (ML) model is a mathematical and computational model that attempts to find a relationship between input variables and output (response) variables of a dataset.
  7. 7Deep Learning and AI BasicsThe goal of neural networks is for a computer algorithm to be able to classify these digits as well as a human
  8. 8Ethics Throughout the Data Science CycleData collection is an essential practice in many fields, and those performing the data collection are responsible for adhering to the highest ethical standards so that the best interest of every any party affected by…
  9. 9Visualizing DataUnivariate data includes observations or measurements on a single characteristic or attribute, and the data need to be converted in a structured format that is suitable for analysis and visualization.
  10. 10Reporting ResultsSuch comprehensive reporting not only builds trust with the project team, but also contributes to the advancement of knowledge by enabling peer review and constructive feedback.