So, I got certified! It has been an interesting journey. It is definitely easier to pass if you have practical experience and knowledge of Python. You can figure out answers of a few questions if you know python well.
Whether or not the Microsoft Associate Data Scientist certification is worth it depends on your specific career goals and circumstances. However, here are some factors that may help you determine whether this certification is right for you:
Career aspirations: If you aspire to work in the field of data science and analytics, the Microsoft Associate Data Scientist certification may be worth pursuing. This certification demonstrates to potential employers that you have the skills and knowledge necessary to design and implement data science solutions using Microsoft technologies.
Competitive advantage: Obtaining this certification can give you a competitive advantage in the job market. With the increasing demand for data science professionals, having a certification can help you stand out among other candidates and make you more attractive to employers.
Skill development: Preparing for the certification exam can help you develop new skills and expand your knowledge of data science concepts, techniques, and tools. This can be especially valuable if you are looking to expand your skillset or transition into a new role within the field.
Cost and time commitment: Pursuing a certification requires a significant investment of time and money. It's important to weigh the costs and benefits of obtaining this certification before committing to it.
In summary, the Microsoft Associate Data Scientist certification can be a valuable credential for data professionals who want to demonstrate their skills and knowledge of data science using Microsoft technologies. However, it's important to consider your career goals and circumstances before deciding whether to pursue this certification.
Microsoft DP-102 certification is an exam designed to test the skills and knowledge of candidates in designing and implementing data science solutions using Azure. This certification is intended for data professionals who have experience in designing and implementing solutions that use Azure data services, machine learning, and other technologies to support data analysis.
To earn the DP-102 certification, candidates are required to pass the DP-102 exam, which covers a range of topics related to data science and Azure technologies. These topics include:
Data science concepts: This includes understanding data science concepts such as data types, data exploration, feature engineering, and model selection.
Azure data services: This covers topics such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, and Azure Blob Storage.
Machine learning: This includes understanding machine learning concepts such as supervised and unsupervised learning, feature engineering, and model training and evaluation.
Azure Machine Learning: This covers topics such as creating and managing Azure Machine Learning workspaces, creating and deploying models, and integrating with other Azure services.
Other Azure technologies: This includes understanding other Azure technologies such as Azure Functions, Azure Stream Analytics, and Azure Cognitive Services.
The DP-102 certification is intended for data professionals who have experience in designing and implementing data science solutions using Azure. Candidates for this certification should have a solid understanding of data science concepts, as well as experience working with Azure data services, machine learning, and other Azure technologies.
Earning the DP-102 certification demonstrates to employers and colleagues that you have the skills and knowledge necessary to design and implement data science solutions using Azure. It can also open up new job opportunities and help you advance your career as a data professional.
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