Perform data science with Azure Databricks
Master data science using Azure Databricks: Process big data, train ML models, and deploy solutions using Apache Spark.
Master data science using Azure Databricks: Process big data, train ML models, and deploy solutions using Apache Spark.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Azure Data Scientist Associate (DP-100) Exam Prep Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
3.3
(61 ratings)
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What you'll learn
Master Azure Databricks platform and Apache Spark clusters
Process and analyze large-scale datasets using DataFrames
Implement machine learning workflows with PySpark
Track experiments and optimize models using MLflow
Deploy models using Azure Machine Learning services
Work with Delta Lake for reliable data storage
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
30 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 6 modules in this course
This comprehensive course teaches data scientists how to leverage Azure Databricks and Apache Spark for cloud-scale data science workloads. Students learn to process large datasets, build and deploy machine learning models, and manage the complete data science lifecycle. The curriculum covers working with DataFrames, implementing Delta Lake for reliable data storage, using MLflow for experiment tracking, and deploying models as web services. The course emphasizes hands-on experience with distributed computing and deep learning, preparing students for the DP-100 certification exam.
Introduction to Azure Databricks
Module 1 · 3 Hours to complete
Working with data in Azure Databricks
Module 2 · 5 Hours to complete
Processing data in Azure Databricks
Module 3 · 3 Hours to complete
Get started with Databricks and machine learning
Module 4 · 5 Hours to complete
Manage machine learning lifecycles and fine tune models
Module 5 · 3 Hours to complete
Train a distributed neural network and serve models with Azure Machine Learning
Module 6 · 4 Hours to complete
Fee Structure
Instructor
Empowering Individuals and Organizations Through Technology
Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.
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3.3 course rating
61 ratings
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