What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
Article
This course is part of Analysing: Numeric and digital literacies Specialization
Instructor: Connor Stead
21,160 already enrolled
Included with
(443 reviews)
(443 reviews)
Add to your LinkedIn profile
12 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation. You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. And there’ll be a focus on future-proofing skills such as teamwork, collaboration with diverse stakeholders and accounting for judgements made within ethical decision-making frameworks.
Organisations and governments everywhere want to exploit data to predict behaviors and extract valuable real-world insights. Billions of devices and social media conversations are fueling the rate at which humanity is producing data. Therefore, we need more skills to understand data and make our systems, policies and governance models more efficient. This week we will highlight the potential of generating insights with the help of data in allowing individuals, businesses, and governments to make effective decisions.
6 videos5 readings2 assignments1 app item
In week 2, we’ll focus on basic statistics. It’s one of the most important components of Data Analytics and it’s crucial to have a clear understanding of all the related concepts to be successful in the data industry. Statistics provide us with a set of tools that offer ways to convert quantitative data and qualitative data into information that we can use to generate insights.
5 videos2 readings2 assignments
Businesses must constantly strive to offer “better” products and services than their competitors. One of the oldest and time-proven techniques by which we can visualise and think about quality in a methodological way is via normal distributions or bell curves. So in week 3, we’ll start by learning about histograms and the normal curve and then have a look at empirical rule which gives us a quick rough estimate about the spread of the given data. Finally, we’ll learn about the measures that quantify the interrelationships between two data variables. Correlation and covariance are two important measures that quantify the relationship between variables and we’ll study both.
4 videos3 readings2 assignments
Visualisation is a key technique which can provide answers hidden in data. In this week, you will explore various data visualisations available and how to use them for analysis. These techniques will empower you to create compelling stories and dashboards from your data that the non-analyst community can also understand easily. As a person working in the data industry, you don’t just need to deal with data and solve data-driven problems but the incumbent also needs to convince company executives and government officials of the right decisions to make. These executives/officials may not be well versed in data science, so the incumbent must but be able to present and visualise the data’s story in a way they will understand. And this module will help you achieve that.
4 videos2 readings2 assignments
This week we learn how to create bar and bullet charts, and dashboards. Data visualization helps to tell stories by curating data into a form easier to understand. A good visualisation tells a story, by removing the noise from data and highlighting the useful information.
5 videos2 readings2 assignments
This week we’ll look at how, by using predictive modelling, we can generate actionable insights that when implemented will provide businesses with a predictable future outcome. Predictive modeling is a group of methods and algorithms that you can employ to forecast an outcome. Utilising basic predictive modelling techniques, we will also explore consumer demand forecasting.
4 videos2 readings2 assignments
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Macquarie is ranked among the top one per cent of universities in the world, and with a 5-star QS rating, we are recognised for producing graduates who are among the most sought-after professionals in the world. Since our foundation 54 years ago, we have aspired to be a different type of university: one focused on fostering collaboration between students, academics, industry and society.
Coursera Instructor Network
Course
University of Illinois Urbana-Champaign
Course
Rice University
Specialization
University of Washington
Specialization
443 reviews
69.75%
22.12%
4.74%
1.58%
1.80%
Showing 3 of 443
Reviewed on Feb 3, 2020
Incredible, state of the art learning environment. Top faculty. Just love it
Reviewed on Apr 5, 2022
A wonderful journey i had with prof conor stead really a calm teacher with the right easy and understandable choose of words he made me do this thankyou very much to each and every contributer
Reviewed on Jun 10, 2020
It was a great course very explanatory and with great practice tests.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.