Perform data science with Azure Databricks Certificate Course

Enroll in the Perform Data Science with Azure Databricks Program to learn about techniques of performing data science with Azure.

Microsoft

Course Overview

The course will help provide learning on the power of Azure Spark and the clusters operating on the Azure platform. This is the fourth course in the overall program. Here, the certification is a great opportunity for the students to prove their knowledge and expertise in operating machine learning. Moreover, the specialization teaches the ways to leverage their existing Python and machine learning knowledge in order to maintain data ingestion.

Furthermore, it teaches the students to create an end-to-end solution in Azure. They will learn the ways to manage Azure resources for machine learning, run experiments, and train models. Along with this deploying and operating machine learning thereby implementing responsible steps are also included in the study. With the help of this course, students will also learn the use of Azure to explore, prepare, and model data so that they can integrate Databricks.

What you'll learn

  • Microsoft Azure
  • Machine Learning
  • Data Processing
  • Azure Databricks
  • Learn about techniques forPerforming data science with Azure Databricks in approximately 3 weeks.

Requirements

  • Basic knowledge of software development.
  • A computer or laptop with internet connectivity.
  • Flexible work schedule.

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Enhanced Employability:

An outstanding course on Perform data science with Azure Databricks Program that increases your chances of landing the best jobs.

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Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

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Skill Validation:

Robust validation of skills of performing data science with Azure confirms that you can complete all related tasks.

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Networking Opportunities:

Managing Perform data science with Azure Databricks courses provide ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.

Course

3.3 Course (63 reviews)

Beginner level

Beginner

Duration

1-3 Months

Earn degree credit

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