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學生對 数据块 提供的 Applied Data Science for Data Analysts 的評價和反饋

24 個評分
6 條評論


In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. You will also learn to apply hyperparameter tuning and cross-validation strategies to improve model performance. NOTE: This is the third and final course in the Data Science with Databricks for Data Analysts Coursera specialization. To be successful in this course we highly recommend taking the first two courses in that specialization prior to taking this course. These courses are: Apache Spark for Data Analysts and Data Science Fundamentals for Data Analysts....

1 - Applied Data Science for Data Analysts 的 5 個評論(共 5 個)

創建者 Xiaoyue Z


Very bad notebooks/Exam. Bug in exam, instruction missing in notebook which cause it impossible to calculate the correct answer. Don't know why coursera put such un-tested, un-updated, un-reviewed course online.

創建者 Saurab R R


Was expecting spark based Mlib not scikit learn

創建者 Ivan O C


Nice course, its approach is the right mix between theory and hands-on exercise on the databricks platform...

創建者 Leandro C


Perfect and objective content. Simple and practical exercises. I strongly recommend!

創建者 stephane d


Great course for an overview but with a high level of abstraction (usage of existing libraries but very little coding of algorithms that show the details of the principles)