Google Data Studio For Data Analytics, Business Intelligence
What you'll learn
- Gain familiarity with the interface of Google Data Studio (GDS)
- Lean to add your own data to GDS
- Connect to different analytic tools such as Youtube Analytics and Google Ads
- Learn to implement different data tabulation techniques
- Learn which data visualisations to use when and how to implement them in GDS
- Make maps from geographic data
- Present the results as powerful and interactive reports
- An interest in gaining insights from data
- Prior exposure to Excel will be beneficial
Tableau is History. The Future Is This.
If You Are…..
A business intelligence (BI) practitioner
Digital marketer and/or someone who needs to analyze digital marketing data and trends (e.g. the performance of your own Google ads)
Interested in gaining insights from data (especially financial, geographic, demographic and socio-economic data)
You Can Get Ahead of the Curve With a Free Business Intelligence and Data Analytics Tool- Google Data Studio (GDS). GDS is a FREE dashboard and reporting tool (which lives in the cloud). It allows you to create dynamic, collaborative reports and visualization dashboards. Paid Business Intelligence and Data Analytics Tools Like Tableau Are have either plateaued or will plateau soon. Many of these are either too expensive for small or teams or have a steep learning curve for beginners.
I’m Minerva Singh, and I’m an expert data scientist. I’ve graduated from 2 of the best universities in the world; MPhil from Oxford University (Geography and Environment), and a Ph.D. holder in Computational Ecology from Cambridge University. I have several years of experience in data analytics and data visualization.
My course aims to help you start with no prior exposure to GDS and become proficient in producing powerful visualizations and interactive dashboards/reports. You don't need any prior exposure to data analytics and visualization get started with GDS. GDS offers the following advantages:
It's free of cost (a paid business intelligence tool like Tableau, on the other hand, costs $70/month/user)
Allows seamless integration with other Google tools such as Google ads manager, Google sheets and Google analytics
It lives in the cloud and can be accessed from multiple devices
Multiple people can collaborate on the same report
Relatively easy to learn
Powerful and interactive reporting tools in the form of in-built GDS templates
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 would get it at once. Become an expert in Data Analytics and Visualization with a new and powerful tool by taking up this course today!
Who this course is for:
- People interested in visualizing data and presenting the results
- Business students
- Business intelligence practitioners
- Practitioners working with financial and economic data
- Practitioners interested in visualising spatial trends in their data
- Practitioners interested in analysing temporal data
- Practitioners interested in gaining insights from marketing and analytics data such as those obtained from Youtube analytics or Google analytics
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. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high level peer-reviewed international scientific journals such as PLOS One) and advising both non-governmental and industry stakeholders in data science, deep learning and earth observation (EO) related topics.
I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python. In addition to being educated at the best universities in the world, I have honed my statistical and data analysis skills through many MOOCs, including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R-based Machine Learning course offered by Stanford online) and the IBM Data Science Professional certificate Track. I specialise in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others. I have acted as a peer reviewer on highly regarded academic journals such as Remote Sensing and given guest lectures on prestigious forums such as Open Data Science Conference (ODSC).