I completed a PhD ( University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. Become an expert in Data Analytics and Visualization with a new and powerful tool by taking this course today! If you take this course and it ever feels like a disappointment, feel free to ask for a refund within 30 days of your purchase, and you will get it at once.
With my short and sharp PowerBI course, you will be able to do all of the above (and a lot more) with PowerBI in less than 2 hrs (and present your results in a professional report). Use PowerBI Desktop (a Windows-only software) on Mac (without buying a new Windows computer) Present your analysis as a professional report Read data from different sources in PowerBI.Ĭarry out common business data analytic tasks, including filteringĬarry out pre-processing and data summarization to glean insights from the dataĭevelop powerful visualisations with PowerBI
After finishing my course, you will be able to: So if you have struggled with data analytics and PowerBI, worry no more. You don't need prior data analytics and visualization exposure to start with my PowerBI course. All in less than 2hrs- from getting acquainted with PowerBI's interface to standard data analytics and visualisation. My course aims to help you start with no prior/limited exposure to data analysis and become fluent in producing powerful visualizations and analyses with PowerBI. I have several years of experience in data analytics and data visualization.
I graduated from 2 of the world's best universities: an MPhil from Oxford University (Geography and Environment) and a PhD in Computational Ecology from Cambridge University. I’m Minerva Singh, and I’m an expert data scientist. Needless to say, if you want to work as a data analyst for a Fortune 500 company or at a consultancy, you have to be proficient in carrying out data analysis in PowerBI. PowerBI Is Used By 97% of Fortune 500 Companies. Interested in gaining insights from data (especially financial, geographic, demographic and socio-economic data)
A business intelligence (BI) practitionerĭata analyst or interested in becoming a data analyst
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