Following up on my earlier post on EdTech investments in 2020, and digging deeper into venture capital in EdTech, this article explores the space’s trends, players and insights between 2015 and 2020.

This article contains a small part of the insights that I was able to generate with this dataset. To stay up-to-date on my future posts on the topic, or to suggest additional analysis you’d be interested in seeing, please fill out this form. I will email you the articles when they come out.

Important Note: The analysis below depends entirely on the accuracy and completeness of the Crunchbase data.

On an otherwise boring Friday night, I decided to launch a poll on my Instagram to ask my friends if they had tested positive for COVID-19. This post recounts the story.

As the days of 2020 went by, I started counting the number of people that I knew who had tested positive for COVID-19. By mid-October, that number reached 16 people. These are either friends, acquaintances, or family members who had told me that they had tested positive for COVID-19. My immediate reaction was the following: if the official statistics are to be trusted, the world incidence rate of COVID-19 is 0.5%.

I thank my friend Luca Sartorio for giving me access to his data on the stringency of COVID- related lockdowns, as part of his reseatch at the Torcuato di Tella University in Buenos Aires.

COVID-19 has upended the entire world in 2020. The economic news from Q2 of 2020 are bleak: most countries in the world witnessed a sharp contraction of their GDP growth, resulting from the crisis. In this blog post, I correlate this decline in GDP growth with characteristics of the pandemic (e.g., incidence and death rates in countries), and the macroeconomic conditions in select countries (e.g., …

Descriptive statistics of previous Supreme Court appointments by US Presidents from 1945 to present.

“My most fervent wish is that I will not be replaced until a new President is installed”

Those were the dying wishes of Justice Ruth Bader Ginsburg, who passed away yesterday (September 18, 2020) due to complications from cancer.

The news of the passing of Supreme Justice Ruth Bader Ginsburg reverberated across the US and the world. Millions are mourning and grieving a feminist icon who has tirelessly worked to ensure gender equality through the Law.

Even before her passing could be properly mourned, it has ignited what promises to be a fierce political battle between the Republicans and the Democrats. The two Parties will be fighting on whether the current President will nominate her replacement, at a time that is so close to the general election on November 3rd. Supreme Court appointments are critical because they are lifetime appointments (the Justice leaves the Court when she retires or when she dies), and each President typically appoints a Justice that is ideologically close to their party. With only three liberal Justices left on the Court and five conservatives, the next Justice appointment might tilt the ideological balance of the Court towards Conservatism for an entire generation.

COVID-19, for all its disastrous effects on countless lives, has accelerated a positive trend that we’ve all been witnessing over the past few years: the move towards digital education. As schools and universities were shut down worldwide in March 2020, parents, educators and students alike scrambled to find a close substitute to something we think of as irreplaceable: in-person education.

As a response to these unusual circumstances, education-themed companies have proliferated across the world. Investor interest in these companies has increased, even as economic downturns reverberated across the world. To understand and quantify the (increased) value that society has put on this industry, I look at the investments made in the Education Technology — EdTech- field so far in 2020 (from January 1st to September 1st). I sourced my data from the Crunchbase database of funds raised by startups. …

In this blog post, I take a step back and reflect on my 3-month data science & Medium journey.

Facing a bright, blank screen, I wondered if I should even start typing.

My thoughts serenaded me with a hundred questions: What am I getting myself into? Do I have the time, stamina and creativity to do this? Will I consistently find interesting things to write about? Will people even read my stuff?

What saved me from all that self-doubt was a familiar voice. The voice that urges us to take that new job, to jump from an airplane (skydive!), …

Using text mining and natural language processing (NLP) to derive insights from last week’s Big Tech Congress Hearing (July 2020), featuring the CEOs of Amazon, Apple, Facebook, and Google.

On July 29, 2020, the CEOs of the four of the largest and most powerful US technology companies (virtually) convened to address the Antitrust, Commercial and Administrative Law Sub-Committee of the Judiciary Committee of the United States Congress. At this marathon-hearing, which lasted more than 5 hours, Republicans and Democrats came together to grill the CEOs on their perceived anti-competitive practices and other market powers that they are accused of abusing.

Since most of us could only catch snippets of the historic hearing (due to its length!), …

For this blog post, the tidytext package in R was useful. I thank my friends Daniel Oliveros and Pere Molins for their help with the technology taxonomy.

Over the past few years, data jobs have proliferated across the world, becoming some of the most sought-after and well-paid jobs. As technology continues to evolve, new jobs are being created to meet business needs. In parallel, the hard skills and technologies required to get these jobs have also ballooned. Such technologies sometimes include unfamiliar names such as “Hadoop”, “MapReduce” or “Blue Prism”, making it a bit hard to keep track of which tool does what, and which is required for what.

In this post, I explore ~9,000 job postings from Glassdoor to understand how three prominent data jobs Data Analyst, Data Scientist, and Data Engineer — differ in what skills they require: data science domains, specific technologies and soft skills. …

In this blog post, I use the Caret Package in R to build my models. The corresponding course on DataCamp is linked here.

Ah, Football! The Beautiful Game!

I knew 2020 was a truly strange year when European football was cancelled back in March. This massive industry, which generated 28.9 …

For this blog post, the Spatial Data Skill Track on DataCamp has been helpful. I thank my friends Aline Aragón and Diego Rodriguez for their guidance and advice.

Since its inception in 2008, Airbnb has become a popular service, brokering over half a billion vacation stays in over 220 countries and regions, and in 100,000 cities worldwide (Source: iPropertyManagement).

In this blog post, I explore Airbnb data in Mexico City, a metropolis that is also a popular tourist destination. While Airbnb rentals create additional revenue streams for home-owners, they can also result in undesirable consequences such as an increase in gentrification, a worsening of income inequality or an increase in noise pollution. …


Kenza Bouhaj

Curious. Passionate about storytelling through data. Interested in Work, Skills and EdTech. Twitter: @KenzaBouhaj

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