数据、人工智能和云计算课程

• 中间的技能水平
• 4.0+
• 205

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

• 先进的技能水平
• 4.7+
• 193

Learn how to load, transform, and transcribe speech from raw audio files in Python.

• 基本的技能水平
• 3.9+
• 187

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

• 中间的技能水平
• 4.7+
• 179

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

• 中间的技能水平
• 4.4+
• 173

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

• 中间的技能水平
• 4.3+
• 171

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

• 先进的技能水平
• 4.6+
• 136

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

• 中间的技能水平
• 4.6+
• 93

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

• 中间的技能水平
• 4.8+
• 65

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

• 中间的技能水平
• 4.5+
• 62

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

• 基本的技能水平
• 4.8+
• 60

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

• 中间的技能水平
• 4.6+
• 19

Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.