統計基礎

Introduction to Statistics in Python・DataCamp・4 Hours Course (Intermediate)

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Introduction to Linear Modeling・DataCamp・4 Hours Course

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Foundations of Probability in Python・DataCamp・5 Hours Course (Intermediate)

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Survival Analysis in Python・DataCamp・4 Hours Course

Use survival analysis to work with time-to-event data and predict survival time.

Case Studies in Statistical Thinking・DataCamp・4 Hours Course

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Analyzing Survey Data in Python・DataCamp・4 Hours Course

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Statistical Simulation in Python・DataCamp・4 Hours Course

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Survival Analysis in Python・DataCamp・4 Hours Course

Use survival analysis to work with time-to-event data and predict survival time.

Foundations of Inference in Python・DataCamp・4 Hours Course

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Generalized Linear Models in Python・DataCamp・4 Hours Course

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Performing Experiments in Python・DataCamp・4 Hours Course

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

Monte Carlo Simulations in Python・DataCamp・4 Hours Course

Learn to design and run your own Monte Carlo simulations using Python!

Intermediate Regression with statsmodels in Python・DataCamp・4 Hours Course (Intermediate)

Learn to perform linear and logistic regression with multiple explanatory variables.

Anomaly Detection in Python・DataCamp・4 Hours Course

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Introduction to Linear Modeling in Python・DataCamp・4 Hours Course

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Customer Analytics and A/B Testing in Python・DataCamp・4 Hours Course

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Foundations of Probability in Python・DataCamp・5 Hours Course

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Bayesian Data Analysis in Python・DataCamp・4 Hours Course

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

A/B Testing in Python・DataCamp・4 Hours Course

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Time Series Analysis in Python・DataCamp・4 Hours Course

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Sampling in Python・DataCamp・4 Hours Course (Intermediate)

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Introduction to Regression with statsmodels in Python・DataCamp・4 Hours Course (Intermediate)

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

Hypothesis Testing in Python・DataCamp・4 Hours Course

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.