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.
이 강좌는 Data Science with Databricks for Data Analysts 특화 과정의 일부입니다.
제공자:

이 강좌에 대하여
Completion of the first two courses in the Data Science with Databricks for Data Analysts Coursera specialization. This course is the final course.
배울 내용
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.
귀하가 습득할 기술
- Data Science
- Machine Learning
- Databricks
Completion of the first two courses in the Data Science with Databricks for Data Analysts Coursera specialization. This course is the final course.
제공자:

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.
강의 계획표 - 이 강좌에서 배울 내용
Welcome to the Course
Applied Unsupervised Learning
Feature Engineering and Selection
Applied Tree-based Models
검토
- 5 stars68.96%
- 4 stars13.79%
- 2 stars10.34%
- 1 star6.89%
APPLIED DATA SCIENCE FOR DATA ANALYSTS의 최상위 리뷰
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)
Data Science with Databricks for Data Analysts 특화 과정 정보
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.

자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.