There are a lot of aspects to time series analysis. One method is called Holt-Winters and uses exponential smoothing to handle trend and seasonality. If you want, you can read about it in the original paper called “Forecasting Sales by Exponentially Weighted Moving Averages” by Peter R. Winters […]

When the input data is text, such as customer reviews, we cannot use the quantitative techniques without prior coding of the text. To experiment with text analytics, you can use a dataset such as this: https://www.kaggle.com/daishinkan002/men-women-shoes-reviews containing product reviews (of shoes). In this dataset, the variable “reviews” contains […]

A key challenge to marketing campaigns is to target the customers that are likely to buy, and not waste time and money on those who are less likely to buy. On Kaggle, there is a dataset from a Portugese bank’s marketing campaign. See Bank marketing campaigns dataset | […]

Use the data available at https://www.kaggle.com/kolawale/focusing-on-mobile-app-or-website What Questions can you formulate, considering the data you have? What Conceptual reasoning do you suggest? What Analytics approach could be appropriate? What Results do you get? On Kaggle, users can submit reports on their approaches. Now have a look at one […]

Finding “the best” can be tricky when we can value different aspects in different ways. What is best for you might not be best for me. A way to include multiple aspects when ranking a number of “contestants” is to include weights. Get data on the number of […]

Collecting data is an important part of analysis, and an important skill of an analyst. However, sometimes we can use existing data sets, either because they already exist within our organisation, or because they are easily accessible. Working with pre-existing datasets lets us practice the other aspects of […]

Find a data set you find interesting, and perform cluster analysis on it. The data should have at least two variables with good variation. Perform k-means clustering using R, Python, or an online tool. Some online tools are also great at explaining and visualizing what happens. Try https://datatab.net/statistics-calculator/cluster […]

Machine Learning is a term used for a number of different techniques where hyper-dimensional datasets can be used without prior conceptualization and definition of the relationships between variables. The “machine” will “learn” from the data. As a result, a ML-model can be very complex and thus treated as […]

In the city of Västerås, Sweden, the number of pedestrians and cyclists are counted in different places around the city. A dashboard showing the counts is available online: https://data.eco-counter.com/ParcPublic//?id=4615 By looking at the calls the webpage makes, we can get the data source for the different counters, for […]

Challenge: Get (qualitative) data for your analysis without influencing the interviewee. Instructions You are asked to contribute to the development of a product (choose any). Formulate a Question that can guide you! Through own reflection or – better – group discussion, formulate the Concepts, i.e. key aspects of […]