Investigate Data Science Fundamentals using Microsoft Azure

Use the foundations of data science to develop yours skills in Microsoft Azure

This ExpertTrack 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.

Explore Microsoft Azure

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.

After completing this course, you’ll be familiar with data analysis and inference, data science research design, and experimental data analysis and modeling, and ready to apply them in your career.

Industry statistics

  • Median base salary

    £45,000
  • UK job openings/month

    1,724

Key skills you will learn

  • Data science
  • Microsoft Azure
  • Transact-SQL
  • Mathematics for programming
  • Azure for AI
  • Data modelling
  • Cloud Computing

Experience required

This ExpertTrack has been developed to kickstart or boost a career in data science. In order to benefit from it, you should have:

  • a basic knowledge of maths
  • a willingness to learn through self-paced study

Getting started

This professional certificate ExpertTrack is designed for students and working professionals who aim to start their careers in analytics, data science and machine learning. It’s best suited for those who are looking to become IT professionals, data scientists, engineers and analysts, statistics teachers and practitioners, and more generally, those that are interested in learning more about data science.

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