Link to project: Email Marketing Dashboard (Desktop view)

References:

• mailerlite-api-python 0.5.0
• API documentation — MailerLite

Introduction

This quick and simple project draws inspiration from closing up on the magic number of 1000 email subscribers that have found my articles useful.

With it, I hope to share with you how you can quickly develop your own personal view of your subscriber base, using a bit of automation and Tableau, in order to be able to deep dive into the data and highlight trends of interest, rather than being served ready-made statistics by your email marketing platform of choice.

It should serve as…

(Notes: All opinions are my own)

Introduction

The direction of travel of the global technology industry and its related analytics applications is going to be guided by several underlying trends in the next 5 years.

This brief highlights the ones most likely to affect industry dynamics and identifies the corresponding relevant market opportunity.

1) Auto-ML algorithms will be employed for an increasingly varied range of use cases

(Notes: All opinions are my own)

Introduction

Good SQL knowledge is required across most analytics roles, and is a popular subject of coding tests. No matter the role, SQL skills are in demand, and the stronger your command of the language, the better your chances to snatch the position you are looking for.

The aim of this article is to give you a practical set of example questions to practice with. It is mostly beginner-to-intermediate oriented, but some of these questions are not far from what you would be put in front of during an interview.

Hope you will find them…

Introduction

I have recently wanted to learn more about Python classes, which is a concept at the core of object-oriented programming languages. While reading article tutorials gave me somewhat of a high-level view of what classes are and how they work, I could tell I did not really retain the content of the tutorials I was going through.

Definitions and examples seemed too abstract, and I could not picture a need for using my own classes while using a language that already has so many ready-made packages and libraries that tackle 99% of your common needs as a programmer which uses…

(Notes: All opinions are my own)

Introduction

Sharpening your Python programming skills is always useful for those of you working in Data Analytics & Data Science, and continuous learning is required in an-ever growing space dominated by ever-expanding use cases and fluid and open-source programming languages.

To that end, those of you more into actual coding than sitting through many minutes of video-lessons should find building projects challenging and entertaining, and the best way to get stuck and learn new concepts on the way.

In this article, I will give an overview of what to expect if you decide to build…

(Notes: All opinions are my own)

Introduction

This year I took and completed the 5 main courses which make up the Deep Learning Specialization offered by deeplearning.ai on Coursera (link to completion certificate).

I have been wanting to certify my Data Science skills during the last few years, and thus jumped at the opportunity to take this series of courses when I discovered that one of the biggest AI experts and co-founder of Coursera, Andrew Ng, had rolled out additional Data Science & AI course materials following his world-famous Machine Learning course.

Being an avid Coursera student, I jumped at the…

(Notes: All opinions are my own)

Introduction

Online Courses, or “MOOCS”, have been traditionally hard to complete (Financial Times, 2019) in recent years, but more and more they are being relied upon for up & re-skilling, especially in the Data Science & Analytics sphere, which has been one of, if not the, most popular categories across the entire e-learning ecosystem.

I have been a great fan of online education ever since I started picking up many Data Science & Analytics skills through my learning journey, and have been an active learner across all major platforms featuring Data Science content, with a…

(Notes: All opinions are my own)

Introduction

I never actually set out to work in the broad realm of Data Science & Analytics; it was 2016 and I was about to graduate from a 3-year Bachelor in Business degree which at the time featured very few programming courses in its curriculum.

Having concluded my last exam before graduation, the last outstanding piece of work was my thesis, which focused on a comparative analysis of M&A transactions between Western firms and Asia-based companies. …