Perform data science with Azure Databricks
This course provides an introduction to using Apache Spark and Azure Databricks to perform data science tasks in the cloud. Learners will gain the skills to harness the power of clusters running on the Azure Databricks platform. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
22nd May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge to perform data science with Azure Databricks. Learners will gain an understanding of data ingestion and preparation, model training and deployment, machine learning solution monitoring, Azure resources for machine learning, Azure Databricks, Azure Machine Learning, and responsible machine learning.
How does this course contribute to professional growth?
This course provides learners with the opportunity to gain knowledge and skills in data science with Azure Databricks. Learners can learn how to ingest and prepare data for machine learning, train and deploy models, monitor and maintain machine learning solutions, use Azure resources for machine learning, explore, prepare, and model data with Azure Databricks, integrate Databricks machine learning processes with Azure Machine Learning, and implement responsible machine learning. By gaining these skills, learners can contribute to their professional growth by becoming more knowledgeable and experienced in data science with Azure Databricks.
Is this course suitable for preparing further education?
This course is suitable for preparing further education in data science with Azure Databricks. Learners can gain a comprehensive understanding of the topics covered, such as data ingestion and preparation, model training and deployment, machine learning solution monitoring, Azure resources for machine learning, Azure Databricks, Azure Machine Learning, and responsible machine learning. With this knowledge, learners can be well-prepared to pursue further education in data science with Azure Databricks.
Pros & Cons
Solid understanding of Apache Spark.
Helpful if staff format codes properly.
Typos abound.
Outdated notebooks and instruction.
Many labs do not work.
No support for doubts.
Course Provider
Provider Coursera's Stats at AZClass
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