Enroll Course: https://www.coursera.org/learn/perform-data-science-with-azure-databricks
If you’re delving into the world of data science and looking to harness the power of cloud computing, the Coursera course ‘Perform Data Science with Azure Databricks’ is an excellent choice. This course is designed to introduce learners to the capabilities of Azure Databricks and Apache Spark, enabling you to process massive datasets efficiently in the cloud. As part of a five-course series aimed at preparing for the DP-100 certification, it provides a comprehensive roadmap for mastering machine learning solutions on Azure.
What makes this course stand out is its practical approach. Starting with an introduction to Azure Databricks, learners explore the platform’s architecture and how to utilize notebooks for task execution. The course then moves into handling data from various sources, transforming it with DataFrame functions, and writing custom UDFs for advanced processing. A key feature is its focus on Delta Lake, which facilitates reliable and optimized data management.
For those interested in machine learning, the course offers hands-on experience with PySpark’s machine learning package to build workflows, tune models with MLflow, and manage the ML lifecycle effectively. Additionally, it covers deploying models using Azure Machine Learning service, including training distributed neural networks with Horovod and Petastorm, and serving models on Azure Kubernetes Service.
I highly recommend this course for data professionals aiming to elevate their skills in cloud-based data science and machine learning. Whether you’re preparing for certification or seeking practical knowledge, the modules are well-structured, detailed, and geared towards real-world application. Enrolling in this course will undoubtedly enhance your ability to operate scalable machine learning solutions using Azure Databricks.
Enroll Course: https://www.coursera.org/learn/perform-data-science-with-azure-databricks