It's Monday, perhaps it's beginning of the week. I am feeling sluggish.
I've stopped working on my own side project for roughly 1 week now since i have arthritis.
I ask Bard what is best to counter the laziness on Monday , here is what it give me
Bugzilla
@firezilla
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As a tech enthusiast and Product Owner, I'm exploring AI and learning Android development. Outside of work, I'm a foodie (love Japanese cuisine), travel enthusiast, and avid anime fan.
While taking online courses in data analytics, I came across a class on Google Spreadsheets. I learned about some common errors that I should be mindful of when using the platform.
SInce been getting my hands dirty in Data , i also like to know what are the correct way in cleaning data and explore data PLUS create all the visualizaiton.
I found some steps propose by ChatGPT :)
AI, ML, and DL are often used interchangeably but have different meanings.
AI refers to machines performing human-like tasks, ML focuses on algorithms that learn from data, and DL uses neural networks to learn.
These technologies are rapidly evolving and have already impacted industries such as healthcare, automotive, and finance.
They have the potential to revolutionize many other industries and change the way we live and work.
1. Ask - What is the business problem
2. Prepare - understand which/what data can help to solve the business problem above.
3. Process - after collected data in raw , clean up the data , until it make sense
4. Analyze - Look at the data
5.Share - Bring data to life , create beautiful visual to make boss happy, story telling time
6. Act - Apply your insight with data , share your thinking and suggest a solution
The data analysis process is a critical tool for businesses and organizations to extract insights from their data. It involves six phases: ask, prepare, process, analyze, share, and act.
By following this process, analysts can ensure that their findings are accurate and actionable. The process helps to eliminate bias and ensures that decisions are made based on data rather than intuition.
Data is the key to making informed decisions and achieving business goals. With a solid plan in place for managing, analyzing, and archiving data, organizations can gain valuable insights and stay ahead of the competition.
Have you heard of the AAARR framework? It's a powerful tool for analyzing and improving your business's digital marketing strategy. AAARR stands for Awareness, Acquisition, Activation, Retention, and Revenue.
By breaking down your marketing efforts into these five stages, you can identify areas for improvement and optimize your campaigns for better results.
Give it a try and see how AAARR can take your marketing game to the next level! #AAARR #marketing #digitalmarketing #strategy
