How to Become an Azure Data Scientist

Cloud-based infrastructure has seen a rise in demand over the years due to the pandemic. Companies now see it as a cost-effective, easier solution. Businesses are also embracing a data-driven approach as they realize their full potential.
Companies are currently looking for Azure data scientists to assist with critical business decisions. Microsoft Azure is an excellent way to improve your IT career. It is not difficult to become a data scientist who is proficient in Microsoft Azure. We will discuss all the details.
Also read: Microsoft Azure Certification Path
This discussion will cover everything, from the admission process to landing an Azure data scientist job, and everything in between. This article will provide you with all the information you need to become an Azure data scientist.
Find Out How To Become An Azure Data Scientist
To achieve your goal of becoming an Azure Data Scientist, you need to follow a clear path. Before we get into the details, Microsoft Azure is a cloud computing platform that allows businesses to create a virtual infrastructure. It integrates tools for storage, analytics, and storage to ensure that businesses have access to all services under one umbrella, Microsoft Azure.
According to research, around 85% of Fortune 500 companies use Microsoft Azure. This is a sign of the need for Azure data scientists in this new market. If you follow the right certification path, now is the best time to become an Azure data scientist. The easiest way to get certified by Microsoft is to apply for it. More details will follow.
Why become an Azure Data Scientist in 2021
According to a Glassdoor report, data scientists are the third best job in the US for 2020. This is based on the growth, demand, and growth. According to LinkedIn, data science jobs have seen a 650% increase since 2012. The US Bureau of Labor Statistics predicts that data science jobs will grow by 28% through 2026. This is roughly equivalent to 11.5 million vacant positions.
There is a large gap in the supply-demand graph for data scientists, in addition to all the statistics and surveys. This gap must be bridged by the industry. You have every reason to become an Azure Data Scientist in 2021. Data scientists are in high demand and it is a highly lucrative career path.
Azure Data Scientist Associate is the exam for the Azure DP-100 exam. This DP-100 exam preparation guide will help you prepare for the exam.
A skill set is required to be an Azure Data Scientist
Global machine learning sales are expected to reach $20.83 billion in 2024. There is a shortage of Azure data scientists capable of performing in such a large industry. These skills are essential if you want to capitalize on this shortage and become a data scientist.
You should have a solid understanding of the fundamentals of data science, AI, and machine learning.
An Azure data scientist’s most important task is to be able to analyze data. You will need to have skills in Big Data, Big Data Mining, Data Modeling, Risk modeling, Data Wrangling, Data Manipulation, Critical Thinking, Data Visualizations, Data Development, and Predictive Model Construction.
Data scientists should have a solid grasp of statistics and probability, as well as a solid programming knowledge. Java, Python and SQL are essential programming languages. Expertise in C++ and Tableau, Perl and Reporting Tool Software is also important.
To identify trends in data and make connections, deep learning is essential.
Data scientists are responsible for communicating the insights from the data to everyone else. They should also be able to think in a structured way and have good communication and collaboration skills.
Data scientists must also be proficient in mathematics, including linear algebra, statistical modeling, algorithm recognition, and machine-learning techniques.
Candidates who are looking to be Azure data scientists will need additional skills such as:
Knowledge of Python libraries and frameworks for data science, machine learning and data science
Understanding data visualization tools such as Microsoft BI and Tableau