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Learner Reviews & Feedback for Applied Data Science for Data Analysts by Databricks

4.4
stars
36 ratings

About the Course

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....

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1 - 8 of 8 Reviews for Applied Data Science for Data Analysts

By Saurab R

Jul 7, 2021

Was expecting spark based Mlib not scikit learn

By 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.

By Dzmitry S

Jan 8, 2022

Good course with good practical tasks (felt relatively simple for me, but may be more challenging for others). It's happy to see quizes as performance evaluation in comparison with peer reviews from previous specialization course. However I lack Databricks features usage and explanations (MlFlow expecially). Also Databricks runtime used during course preparation is no longer available for selection as cluster configuration - it results in different answers for specific questions (it was very painful with K-Means clustering - I just had other ordering cluster labels)

By Ivan O C

Jun 23, 2021

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

By reneryu

Oct 27, 2022

Very practical applied machine learning course on data science while covering key components informatively

By Leandro C

Apr 17, 2021

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

By 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)

By Cochet

Dec 30, 2022

Well defined exercice with usage of Pyspark in Databricks