August 30th, 2016
r programming
+2
Polls are central to political campaign analysis. In this course, you’ll explore polling data from the 2016 Republican and Democratic primaries using statistics and visualizations.
15
15
August 29th, 2016
statistical modeling
+1
This course complements the Coursera Basic Statistics course and is roughly based on the syllabus used by at the University of Amsterdam.
119
119
August 29th, 2016
statistical modeling
+1
This course complements the course on Inferential Statistics at Coursera.
70
70
August 29th, 2016
r programming
+1
In this course, you'll learn several features of Hadley Wickham's readr package: from importing and exporting data sets to more advanced topics, like type conversion.
32
32
August 3rd, 2016
python
+1
Most of the world's data aren't sorted cleanly nor organized. In this course, you'll learn about the standards for tidy data and you'll create tidy data sets from messy ones.
60
60
July 1st, 2016
machine learning
+3
This course introduces you to data science concepts, data exploration, and preparation in Python to prepare you to participate in machine learning competitions on Analytics Vidhya.
127
127
June 16th, 2016
r programming
我們將在 R 語言導論學習這個熱門的開源軟體,包含因素向量、清單與資料框等資料類別。
74
74
June 5th, 2016
data visualization
+3
Are all Yelp restaurant reviews created equal? You will learn the techniques to “cut through the noise” and deliver useful metrics for finding a great place to eat on Friday night!
12
12