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.
This course is part of the Data Science with Databricks for Data Analysts Specialization
Offered By
About this Course
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
Course 3 of 3 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Completion of the first two courses in the Data Science with Databricks for Data Analysts Coursera specialization. This course is the final course.
Approx. 16 hours to complete
English
Subtitles: English
What you will learn
Explore data using unsupervised machine learning.
Solve complex supervised learning problems using tree-based models.
Apply hyperparameter tuning and cross-validation strategies to improve model performance.
Skills you will gain
Data ScienceMachine LearningDatabricks
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 3 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Completion of the first two courses in the Data Science with Databricks for Data Analysts Coursera specialization. This course is the final course.
Approx. 16 hours to complete
English
Subtitles: English
Offered by
Databricks
Databricks is the data and AI company. Founded by the creators of Apache Spark™, Delta Lake and MLflow, organizations like Comcast, Condé Nast, Nationwide and H&M rely on Databricks’ open and unified platform to enable data engineers, scientists and analysts to collaborate and innovate faster.
Syllabus - What you will learn from this course
2 hours to complete
Welcome to the Course
2 hours to complete
8 videos (Total 40 min), 2 readings, 1 quiz
3 hours to complete
Applied Unsupervised Learning
3 hours to complete
15 videos (Total 69 min), 2 readings, 6 quizzes
3 hours to complete
Feature Engineering and Selection
3 hours to complete
17 videos (Total 71 min), 2 readings, 6 quizzes
6 hours to complete
Applied Tree-based Models
6 hours to complete
14 videos (Total 60 min), 10 readings, 9 quizzes
Reviews
TOP REVIEWS FROM APPLIED DATA SCIENCE FOR DATA ANALYSTS
by SDDec 28, 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)
About the Data Science with Databricks for Data Analysts Specialization
This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.
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