Learn how to generate summary statistics.
- [Instructor] Descriptive statistics…describe a variable's values and their spread.…For example, imagine you work for a company…that monitors patient's health in real time…and you need to build a script…that detects dangerous anomalies.…You could generate summary statistics in microbatch…and then calculate the mean, max, and standard deviation…of incoming health data…that's generated from the monitoring device.…With these descriptive statistics,…you generate automatic alerts…when unusually high or low data points are generated…by the patient's monitoring device…indicating potentially dangerous health status…of the monitored patient.…
There are two categories of descriptive statistics.…There are the kind that describe the values…of the observations in a variable,…and the other kind that describe a variable spread.…Descriptive statistics provide a quantitative summary…of a variable and the data points that comprise it.…You can use them to get an understanding of a variable…and the attributes that it represents.…
AuthorLillian Pierson, P.E.
- Getting started with Jupyter Notebooks
- Visualizing data: basic charts, time series, and statistical plots
- Preparing for analysis: treating missing values and data transformation
- Data analysis basics: arithmetic, summary statistics, and correlation analysis
- Outlier analysis: univariate, multivariate, and linear projection methods
- Introduction to machine learning
- Basic machine learning methods: linear and logistic regression, Naïve Bayes
- Reducing dataset dimensionality with PCA
- Clustering and classification: k-means, hierarchical, and k-NN
- Simulating a social network with NetworkX
- Creating Plot.ly charts
- Scraping the web with Beautiful Soup
Skill Level Beginner
1. Data Munging Basics
2. Data Visualization Basics
3. Basic Math and Statistics
4. Dimensionality Reduction
Explanatory factor analysis6m 39s
5. Outlier Analysis
6. Cluster Analysis
7. Network Analysis with NetworkX
8. Basic Algorithmic Learning
9. Web-based Data Visualizations with Plotly
10. Web Scraping with Beautiful Soup
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