Key info |
Offered by | CloudSwyft |
Description | This Expert Track will teach you everything you need to know about using Microsoft Azure to implement an AI solution, but does not require expert level coding skills. Instead you will be introduced to each aspect of using Azure for AI
The goal of good data science is to produce a strong understanding of a problem or idea, and to build useful models based on that understanding. In order to do that effectively, it’s essential that you have the right skills, tools, and analysis techniques available.
Unlock career opportunities in two growing job markets
Growing in-demand skills is key for a long-term career in such turbulent times. Both data science and Microsoft Azure skills are in high demand. Data science jobs have grown 37% in the last 3 years, and other roles such as statisticians are also evolving to need more data science skills. The market itself is expected to grow to $274.3 billion by 2022.
Throughout this ExpertTrack, you’ll begin to understand support services and cloud computing services on Microsoft Azure, and how they relate to data science projects.
Learning objectives
- data analysis and inference
- data science research design
- experimental data analysis and modeling
- Microsoft Azure
- Transact-SQL
- Mathematics for programming
- Azure for AI
- Data modelling
- Cloud Computing
Software: Excel, SQL
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Accredited by | Future Learn |
URL |
https://www.futurelearn.com/experttracks/data-science-fundamentals-microsoft-azure
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