This course was (unsurprisingly) extremely popular during lockdown. With a focus on increasing your own wellbeing and productivity, this engaging course delves into the science and psychology behind happiness.
For those looking at roles in HR or advisory or consulting services, this is a great refresher in organisational change or change management. Easy to follow, this course is listed as 19 hours of work but I completed it faster, in less than a week.
You will learn about project contracts, syndicates, risk management, valuation, and cover ratios as they relate to the construction sector.
It is easy to follow along and although the course requires some knowledge of finance I found it relatively straightforward.
Part of a larger programme, this course is for those interested in diving deeper into marketing but not quite there yet with learning R Programming, SQL or Tableau; it is a good starting point. Unlike many courses that require a multiple-choice test, this course required written answers that were peered reviewed, encouraging the learner to apply the material to their own experience.
Of the several Corporate Finance out there (I did the Corporate Finance by Wharton as well) I much preferred IESE’s delivery. The teacher was very clear and methodical and although it will take a solid week to make sure you full comprehend the teachings, I would highly recommend this course to anyone still intimidated but wanting to dive deeper into finance.
A data analysis course for people from less technical backgrounds. Highly recommended if you want to learn an easy tool to analyse and retrieve insightful information from large datasets. This course not only provided practicalities on using Tableau for data visualisation but also helped me create a strategy for finding information in large datasets. It also gives useful tips on how to best present your data and make it convincing. You also get a free desktop version of Tableau for one year
Whilst this course provides some useful information about business metrics used in e-commerce, marketing and finance, I found it too simplified. So much time is spent on interviews with people working in data science and their job descriptions