Developed as a powerful and flexible language used in everything from data science to cutting-edge Artificial Intelligence solutions, Python has become an essential tool for doing data science and machine learning.

This ExpertTrack combines these highly sought-after and lucrative skills to provide you with real-world applications for both.

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 skills and Python programming 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. If you’re interested in a career within this industry, Python is the most-requested skill in data science jobs, so provides you with an excellent base to get you started. .

Python provides great functionality for people who routinely deal with maths, statistics, and scientific functions as part of their work. It’s become incredibly popular within data science over recent years as the code takes less time to develop than other programming languages, speeding up the development process and offering more efficiency across departments.

This ExpertTrack offers you a change to familiarise yourself with the language and take the next steps to confidently use it in a professional context.

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.

Learning objectives

• discover Python programming fundamentals
• understand cloud computing and its application in data science
• grow your knowledge of Microsoft Azure
• start modelling using Azure
• learn key skills in applying queries and modifying data
• create data visualisations using a range of market-leading tools

Software: Python, Microsoft Azure