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Build your own interactive dashboard that tells a data-driven story.
6 Monash University Postgraduate Level Credit Points Find out how credits work and where you can use them in our FAQ. A certificate of completion from Monash University Find out more about this organization
Data becomes valuable when it enables us to make a decision or take action in the real world. In this microcredential, you will work through hands-on programming exercises in the R language to learn the process of sorting, collecting, and discussing data and applying statistical models to simulate complex functions that solve a wide range of problems. Using data visualization techniques, you'll learn how to interpret and explain data to inform your decision-making process and communicate your message to others.
You will also explore the essential ethical, legal and organizational issues of data collection and management. You'll gain the skills you need to apply for data scientist positions or use the knowledge you've gained to improve your current organization. The data science and data analytics industry is expected to grow sevenfold in the next few years, reaching a value of $103 billion by 2023.
This micro-credential meets the standards set by the Common Micro-Credential Framework. Industry statistics Median base salary £45,000 UK job openings/month 1,724 Source: Glassdoor's Best Jobs (2020)
What makes a data scientist?
What can data tell us about our world?
What underpins data-driven decisions?
In this course, the fundamental techniques used by professionals in the field of data science will be presented. You will learn the workflow of data analysis, data discussion, and data plotting, which lay the groundwork for more advanced techniques such as statistical modeling, regression and decision trees, sentiment analysis, and working with big data.
Being able to work effectively with a variety of data types and sources and then telling a story that informs decision making is crucial. In this course, you'll have the opportunity to hone your data science skills alongside other students as you do hands-on programming exercises that reflect scenarios from the world around us.
This course is offered jointly by the Monash Business School and the Faculty of Information Technology. Students who successfully complete the course and meet the Monash entry criteria can be awarded one unit or six credit points of academic credit towards a relevant Monash MSc in Business Analytics or IT.
This course is intended for anyone interested in developing skills in industry standard tools and techniques and improving their ability to use data to inform decision making. That said, we recommend that you have studied an undergraduate unit in statistics.
Disputes and Workflow Get an introduction to data science and learn how to get the most out of your data through effective data storytelling and discussion. 4 weeks 12 hours per week
Modeling and Visualization Explore the role of data visualization in data science and learn how to use and apply data modeling techniques. 4 weeks 12 hours per week
Formats, Ethics and Storytelling Assess the challenges of data variety, ethics and privacy in this course in Monash University's Data Science Micro-Credential. 4 weeks 12 hours per week
Microcredentials are designed to train you for jobs in fast-growing industries, without the time and cost commitment of a full degree. You micro credential it can stand alone as an individual credential, but some also offer academic credit to use toward a more advanced degree of study*.
Complete online courses led by experts for 12-16 weeks, with a dedicated group of professionals.
Test your understanding with online tutor-reviewed quizzes and exercises.
Complete your apprenticeship and pass your assessments to earn an accredited professional credential.
Use your micro-credential as evidence of your specialized skills and advance further in your industry.
*Some Microcredentials offer academic credits, which may be valid for further study, such as a postgraduate degree. This is subject to the characteristics of the study, and to the conditions required by the university or institution that offers the Microcredential.
Are you eligible for this microcredential? This data science microcredential is designed for anyone interested in developing skills in industry-standard tools and techniques, and improving their ability to use data to inform real-world decision-making. Monash strongly recommends that you have studied mathematics or statistics at the first-year undergraduate level before joining this microcredential. To complete the programming exercises, you will need a computer to install and run RStudio and install R packages.
Is this microcredential right for you? This is a practical micro-credential and the application of the skills you will learn will benefit a wide range of professional contexts. From manufacturing to healthcare, from tourism to transportation, and from media to government, if data or business intelligence is essential to the success of your organization, this course will ensure you can use your data to make business decisions. effective.
You will have access to our online welcome area where you can start conversations with other students and read any additional information related to your micro-credential.
You will receive 6 credit points at Monash University postgraduate level Find out how credits work and where you can use them in our FAQ. A certificate of completion from Monash University Find out more about this organization
Monash University is one of Australia's leading universities, ranked in the top 1% of the world by the Times Higher Education World University Rankings. It was established in Melbourne in 1958.
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