FWD Resources
The Data Analytics Toolbox
Welcome to the Data Analytics Toolbox. Here you will find overviews and how-to articles on topics geared towards helping you become a better data analyst. This includes reviews of tools, guides, and more.
Understanding World Bank Data: A Beginner’s Guide to Preparing It for Analysis
Learn how to download, clean, and transform World Bank data for analysis. This step-by-step guide explains dataset structure, wide vs. long formats, and how to prepare World Bank indicators for use in Excel, Google Sheets, or data visualization tools.
How to Find Key Financial Metrics for Canadian-Listed Companies
Learn how to find key financial metrics for Canadian-listed companies using SEDAR+ filings and IFRS reports. This guide covers where to locate revenue, expenses, EPS, cash flow, and executive compensation in Canadian disclosure documents like annual reports, MD&A, and AIFs.
How to Find Key Financial Metrics in US Corporate Disclosure Documents
Learn where to find revenue, expenses, net income, EPS, executive pay, EBITDA, cash flow, and other key financial metrics in corporate filings like SEC 10-Ks and DEF 14A.
Scraping data to create a custom dataset
What do you do when you can’t find a dataset for your project? Well, one option is to scrape websites for the data you need. Here’s an example of how it’s done.
What is open data and why should you use it?
Learn what Open Data is, why governments publish it, and how analysts, developers, journalists, businesses, students, and communities use it to drive insights and innovation. Explore common file types, real-world examples, and how open data portals make public information accessible, transparent, and valuable for everyone.
Creating charts with Datawrapper
Datawrapper is a popular data visualization tool trusted by journalists, educational institutions, finance companies, government institutions, and think tanks. It’s a useful application for those seeking to build interactive, responsive charts, tables, and maps, but have limited coding skills or time.
Data science reading list
Books on data science, data analytics, and data visualization are indispensable companions for anyone looking to harness the power of data to make informed decisions in an increasingly data-driven world.
Where to find datasets for projects
From open government sites to subscription services and everything in between – use this as your go-to reference point when searching for data for your next project.