A handy guide to lead magnets for digital businesses — In today’s digital landscape, generating leads is crucial for the growth and success of any business. However, with so much competition and an overwhelming amount of information available online, it can be challenging to capture the attention of potential customers. This is where lead magnets come in. A lead magnet…

A financial portfolio is a collection of assets, such as stocks, bonds, and real estate, that an individual or organization holds for the purpose of achieving financial goals. One of the key decisions that investors face is how frequently to optimize their portfolio. In this post, we will explore the…

Some tips for a social media strategy for startups — Starting a new business can be incredibly exciting, but it can also be quite daunting. One of the biggest challenges that startups face is getting their name out there and building a following. Social media has become one of the most effective ways to do this, but with so many…

As an individual, managing your financial portfolio is crucial for achieving your financial goals and securing your future. But with so many options and so much information out there, it can be overwhelming to know where to start. …

An introduction to the KS test for beginners — Data Scientists often need to assess the proper distribution of their data. We have already seen the Shapiro-Wilk test for normality, but what about non-normal distributions? There’s another test that can help us, which is the Kolmogorov-Smirnov test. The need to check the distribution Data Scientists usually face the problem of checking the distribution of their…

How to assess the normality of a dataset in Python — Data scientists usually have to check if data is normally distributed. An example is the normality check on the residuals of linear regression in order to correctly use the F-test. Let’s see how we can check the normality of a dataset. What is normality? Normality means that a particular sample has been generated…

3 easy ways to compare the mean value of a sample with other, expected values — Data scientists and analysts often have to work with mean values and need to compare the mean value of a sample with a known expected value or the mean value of another sample. Statistics helps us with a powerful set of hypothesis tests we can perform for such tasks. The problem Let’s…

A simple introduction to hypothesis tests — Statistics is a data scientist’s best friend. Hypothesis tests are a family of very useful tools for any kind of analysis. They can really help us assess the statistical significance of some phenomena. However, we have to master such tools properly in order to benefit from their advantages. What is a hypothesis test? A hypothesis…

Dividend ETFs are a useful tool for investors. — In this article, the advantages and disadvantages of dividend ETFs are presented. An investor should look for bond-based ETFs in order to have a good dividend yield and avoid the risk related to stocks. …