- Manage Azure resources for machine learning
- Deploy and operationalize machine learning solutions
- Run experiments and train models
- Implement responsible machine learning
January 26, 2022
Approximately 25 weeks to complete.Cristiano Nilo Siqueira's account is verified. Coursera certifies their successful completion of Microsoft Microsoft Azure Data Scientist Associate - DP-100 Specialization.
Course Certificates Completed
Create Machine Learning Models in Microsoft Azure
Build and Operate Machine Learning Solutions with Azure
DP-100: Data Science on Microsoft Azure Exam
Microsoft Azure Machine Learning for Data Scientists
Perform data science with Azure Databricks
To manage Azure resources for machine learning; run experiments and train models; and deploy and operationalize ethical machine learning solutions.
Earned after completing each course in the Specialization
Microsoft
Taught by: Microsoft
Completed by: Cristiano Nilo Siqueira by January 14, 2022
5 weeks of study, 1-2 hours/week.
Grade Achieved: 90.57%
Microsoft
Taught by: Microsoft
Completed by: Cristiano Nilo Siqueira by January 22, 2022
6 weeks of study, 1-2 hours/week.
Grade Achieved: 85.71%
Microsoft
Taught by: Microsoft
Completed by: Cristiano Nilo Siqueira by January 26, 2022
6 weeks of study, 1-2 hours/week.
Grade Achieved: 84.50%
Microsoft
Taught by: Microsoft
Completed by: Cristiano Nilo Siqueira by January 15, 2022
4 weeks of study, 1-2 hours/week.
Grade Achieved: 96.43%
Microsoft
Taught by: Microsoft
Completed by: Cristiano Nilo Siqueira by January 19, 2022
5 weeks of study, 1-2 hours/week.
Grade Achieved: 90.97%
We recommend Microsoft Azure Data Scientist Associate - DP-100 Test Prep by Microsoft on Coursera. Certificate earned at January 26, 2022
It should take you approximately twenty-five weeks to complete this Specialization. You will be assigned approximately one to two hours worth of work to complete every week for the twenty-five weeks it takes to complete the five courses.
Knowledge of basic mathematical concepts is important and some experience with Python is also beneficial.
Yes. We highly recommend taking the courses of each certificate program in the order they are presented. The content in the courses builds on information from earlier courses. The final course contains a practice exam that assesses your knowledge of the content covered in the previous courses. It makes the most sense to take them in the order they come in.
In short, no. Completing this Specialization will not earn you professional or academic credits. If you need to know whether a Coursera Certificate will count toward accreditation for a specific organization or program, please ask a representative of that organization or program.
This Specialization consists of 5 courses to help prepare you take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise in operating machine learning solutions at cloud scale using Azure Machine Learning. When you have completed this specialization, you should be able to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.
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