DSN Kicks Off National Financial Inclusion Dashboard Challenge
Hello,
I trust you are doing great.
The ongoing training on Data visualization tagged Hand-on Project-Based Data Visualization Masterclass has been quite eventful. We trust that you have enjoyed your cohorts and facilitators so far.
This data visualization masterclass aims to learn from industry experts and use the knowledge to solve real-life problems. In this case, real-life datasets have been provided. The dataset contains information on gender, age, geographical zones, settlements, and population description play in financial inclusion in the economy over a period of years.
The organization requires that you produce a report that looks at the data sets and gives us some insights on the interplay of the variables and how to inform future decisions for the financial sectors. There are 14 years’ worth of data (2008 to 2020) collected by EFINA, and this data is published on a bi-annual basis.
The ball is now in your court as an analyst, and you must figure out how to communicate information and drive insights to the team using informative visuals.
The aim of this is to produce a report which summarizes the datasets.
Submission Process
To promote high-quality submissions while maintaining the original spirit of the challenges. The top-performing entry selection will entirely be focusing on high-quality analysis, insight discovery, and exceptional storytelling using data visualizations.
How to submit your entry:
Submit your PBIX files by uploading here
Follow DSN Datascientistsnetwork (Data Science Nigeria) on LinkedIn
Share a LinkedIn post that contains both a direct @ mention to @datascientistsnetwork, and the hashtag #DSNfinancialinclusionchallenge
In your post, share a summary of your findings and an image that contains a screenshot of your work for the DSN Financial Inclusion Dashboard Challenge.
Tag people, mention and invite your connections in your post.
Due date: Friday, 8th of April 2022
Reach out for support or if you have any challenges or questions through projectparticipation@datasciencenigeria.ai
Click HERE for more details on the submission process.