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Analyzing Data with Python
Prerequisites Some Python Experience. Interested in this course for your Business or Team? Train your employees in the most in-demand topics, with edX for Business. Purchase now Request Information. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
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- Analysis BIO!
- Test your vocabulary with our fun image quizzes.
What you'll learn You will learn how to: Import data sets Clean and prepare data for analysis Manipulate pandas DataFrame Summarize data Build machine learning models using scikit-learn Build data pipelines Data Analysis with Python is delivered through lecture, hands-on labs, and assignment. It includes following parts: Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets.
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- Prescriptive Analysis.
Analysis is a commonly used word in college writing. If you are doing quantitative research in any of the STEM fields, you will likely use analysis in all of your written reports and throughout your college career.
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Most nouns are made plural simply by adding the letter s to the end of the word. The word analysis is a bit different. The plural form of analysis is analyses.
Analysis is the singular form of the word, meaning it refers to a single study, report, examination, etc. How do you pronounce analysis?
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The singular analysis is pronounced uh-nal-ih-sis. Analyses is plural for analysis, meaning is refers to multiple studies, reports, examinations, etc. How do you pronounce analyses? The plural analyses is pronounced uh-nal-ih-seez.
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