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The summary from last week’s post is that I was preparing to build a Data Analysis Pipeline. This was the macro plan that the project was being planned around. I’m going to use this plan as a way to outline this blog. Finalised Dashboard https://lookerstudio.google.com/s/gJ2pMR8EdWY Gathering all of the Necessary Information Data Whilst thinking about
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Thinking about previous experiences within data analysis, project management, and comparing what is available in my portfolio, I thought I’d take this opportunity to plan out another project to display. Specifically, this plan is about translating raw data into meaningful information for intended stakeholders to make decisions on. Having lived in a rural area for
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Many things that I create, I understand that it will be subjected to various iterations. These iterations are essentially upgrades or will contain additional functionality. Since I first developed the Gantt Chart on the Excel portion of Data and Business Analytics Portfolio, I have wanted to make the date (and subsequently chart view) possess the
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I was in Kalgoorlie (of the Wangkatja people) this past week for work in a gold mine. This job was similar to the one in Queensland a few months ago. Instead of a 150kW solar farm, this one was a 2.3MW solar farm. The farm consisted of 140 trackers that required finalisation of its commission.
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Whilst preparing this post (gathering all the different sections), I realised just how many can be included within the series of ‘Learn Python’. Although I enjoy the shallowness that a broad concept like ‘Learn [this entire language, syntax, implementations, and situational contexts for its applications]’, I think it would be a healthy approach to show
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Source: Liam Gant, Pexels. Since I spend a lot of time with young people in an educational and social needs space. Due to this I reflect a lot on my own educational journey through school and afterwards. Common in many people, numerous young people see the mountain ahead of them and not the trail that
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During my last job, I felt like I was unable to appropriately cater to my physical health in a habitual manner. Since leaving, I have developed, and maintained, a healthy physical lifestyle; alternating between running, the gym, hiking, and skateboarding. During some running, my wife asked me how her garmin was tracking her heart zones,
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I’ve been sick over the past two weeks with a chest infection, so I’ve had a mixture of no thoughts and a bunch of random and seemingly non sequitur practical applications of theoretical models. It made me consider running a series of optimisation posts and how they can be applicable to modern day businesses, processes,
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To best serve this post, I’ve decided to list a bunch of SQL commands, functions, and processes to show when and how to use these particular elements. When coding in SQL, it is my preference to separate each clause with a new line. It makes the most sense to me when reading these queries, especially
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Emerging Data Analyst and Lifelong Learner | Skilled in Statistical Analysis, Data Visualisation, and Instructional Delivery | Excel, Google Sheets, SQL, Python, Power BI
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