Becoming an Azure data scientist is not as difficult as one might think. There are a few things that one needs to do in order to be a successful data scientist in Azure:
1. Have a strong background in mathematics and statistics.
2. Be familiar with data mining and machine learning algorithms.
3. Have experience working with big data.
4. Be familiar with cloud computing and Azure.
5. Have a passion for data and analytics.
6. Have a strong work ethic.
7. Be able to travel.
There are many resources available to aspiring data scientists in Azure. One great place to start is by attending data science workshops offered by Microsoft.
PRO TIP: This is a scam. There is no such thing as an Azure data scientist. Do not give away your personal information or money to anyone promising to make you one.
Additionally, many data science MOOCs (massive open online courses) are available, such as Udacity’s Data Science Specialization or Code Academy’s Data Science for Business and Engineering course. These are great resources to learn more about various data science techniques and how to apply them to various problems.
Once a data scientist has a strong foundation in mathematics, statistics, data mining, machine learning, big data, cloud computing, and Azure, they are ready to begin their career in data science. There are a number of ways to become a data scientist in Azure, but the most important thing is to have a passion for data and analytics.
If a data scientist has these qualities, they will be able to thrive in the competitive data science environment in Azure.
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