Find this space to post your experience on doing Data Analytics project using R.
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Dear Participants, Share Your Data Analytics and R Programming Journey!
Hey Amazing participants,
We've all embarked on this exciting journey into the world of data analytics and programming in R, and each one of us has a unique story to tell. Let's celebrate our successes, conquerings of challenges, and those "aha" moments that made the learning journey memorable.
Your Experience Matters!
Take a moment to reflect and share your experience. Whether you're a seasoned coder or just starting, your insights can inspire and resonate with others in the team.
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How did your journey into data analytics and R programming begin?
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What were the key milestones or challenges you encountered along the way?
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Share a project or a specific moment that stands out in your learning journey.
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How has the R community played a role in your learning and growth?
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Any tips or advice for fellow learners based on your experiences?
Feel free to share your thoughts, anecdotes, and any fun or surprising discoveries you've made. Let's make this space a hub of inspiration and shared learning!
Cheers to our collective journey!
As a take away from the completion of this course,
at
airasiaacademy.com/on-demand-learning
Check your Knowledge by trying to extract the reviews and sentiments for the recommended websites
https://www.motherhood.com.my/baby-bathing/
https://giftr.my/collections/anniversary
https://www.groupon.com/browse/chicago?category=food-and-drink&subcategory=cafes-and-treats
If further help required or stuck in-between during scraping the data donβt worry!!!
Post your error or clarification over here, we can help you to solve it!!!!
Also
Please feel free to post your questions on completing our course on "How does machine learn from data?"
You can also share your results and your further improvements in the model.
@nurulnajwalatiff Recommendation from Allstar!!!!
@syazwani-j67 Very creative thinking!!!
Imagine you are a "Data Analyst" and Please share any one real life problem that you wish to analyze.
Think out the questions which you must understand before starting analyzing the data.*
Please share your experience in completing your mini project in R using google Colab and R Shiny.
Find this space to post your experience on doing Data Analytics project using R.
Blogs are a great way to stay engaged with the outer world. The benefits of blog posting come together when you start using Google Analytics to see how effective your posts are.
Google Analytics allows you to see the number of views each page on your website has got and the time users have spent on each page and your site's bounce rate (the amount of people leaving the site after viewing just one page).
With that information, you can change your content accordingly to reduce bounce rate and increase conversions.
Please share your experience on designing the personal blog using google sites and the importance in analyzing your blog rate using google analytics.
Happy learning!
Please share your findings on analyzing the various real time Datasets by explaining
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What is your data about?
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How do you visualize your data?
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What ML algorithm you used for analyzing your data and Why ?
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Sample screenshot of the web app created using R Shiny.
(Note: You can upload pictures of your visualization)