返回到 Applied Data Science for Data Analysts
学生对 数据块 提供的 Applied Data Science for Data Analysts 的评价和反馈
24 个评分
课程概述
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.
筛选依据：
1 - Applied Data Science for Data Analysts 的 5 个评论（共 5 个）
创建者 Xiaoyue Z
•Dec 19, 2020
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.
创建者 Saurab R R
•Jul 7, 2021
Was expecting spark based Mlib not scikit learn
创建者 Ivan O C
•Jun 23, 2021
Nice course, its approach is the right mix between theory and hands-on exercise on the databricks platform...
创建者 Leandro C
•Apr 17, 2021
Perfect and objective content. Simple and practical exercises. I strongly recommend!
创建者 stephane d
•Dec 29, 2020
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)
Coursera Footer
© 2021 Coursera Inc.保留所有权利。
