数据科学家助理 在 R 中

掌握 R 数据分析基础，包括向量、列表和数据框，并用真实数据集实践 R。

继续你的 R 忍者之旅，学习条件语句、循环和向量函数。

用 tidyverse 开始探索并可视化自己的数据，这是一套强大且流行的 R 数据科学工具集。

通过学习如何使用 dplyr 转换和处理数据，提升 Tidyverse 技能。

Analyze the popularity of programming languages over time based on Stack Overflow data.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

提升统计技能，学习如何收集、分析数据并得出准确结论。

通过理解图形语法，学习用 ggplot2 制作有意义且美观的数据可视化。

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

没人喜欢看电子表格！让你的数据焕发生机。 提升演示能力，学会将技术数据转化为可执行的洞察。

在本课程中，您将学习如何在 R 中使用 readxl 和 data.table 等工具读取 CSV、XLS 和文本文件。

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Take your R skills up a notch by learning to write efficient, reusable functions.

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

用 R 实现、分析并解读回归分析，预测房价和广告点击率。

Use logistic regression to predict whether people will make a claim on their car insurance!

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

Master sampling to get more accurate statistics with less data.

了解如何以及何时在 R 中使用假设检验，包括 t 检验、比例检验和卡方检验。

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

In this course you will learn the basics of machine learning for classification.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.