Importing and structure data, further organising the data with advanced functions

Visualising insights from the datasets and reflected on outputs

Implemented VBA coding into my workflow for swifter and efficient results 

Currently undertaking Microsoft Certification Excel training to bolster my already strong Spreadsheet skills and reviewing other spreadsheet solutions including Google Sheets. 

Explored the Tableau and Power BI platforms and their features 

Used both platforms to transformed data, generate reports and create dashboards 

Going through Microsoft Power BI and Tableau training, respectively

Creating dashboards for financial market participants that shows the market moving information at a glance without the noise 

Core database concepts

SQL best practices

Undertaking further SQL training

Using SQL to store large datasets alongside Python to call them to test financial economic models and backtest trading and investing strategies

Exploring the Microsoft Azure Suite of product offerings including Cosmos and Fabric

Cloud fundamentals and cloud offering comparisons

Doing further training on Azure, GSuite, and AWS

Explored other integrations and how they can further value eg the dataverse, Power Suite

Python fundamentals

Computing and visualising data using libraries such as Pandas, and Nympy

Doing further Python training, and actively using Python for financial market analysis   

Exploring Python with ML for financial markets