Why You Should Learn Data Analytics? The course is an introduction to Python based data analytics. Learning core data skills may provide as much value as basic financial literacy or knowledge of a simple coding language.
Ok. I'm not suggesting that everyone needs to become a fully-credentialed data scientist. But these days, learning core data skills may provide as much value as basic financial literacy or knowledge of a simple coding language.
This isn't just about your career: data has grown far beyond the world of IT professionals. It's getting harder to imagine any significant life events that analytics can't help secure and enhance.
And the good news is that acquiring those basic data skills doesn't have to cost you any money or take much time. There's a lot of sophisticated number crunching going on using plain old spreadsheets, for instance.
But even getting up to speed with the far more versatile world of Python and Jupyter Notebooks can happen faster than you might think.
freeCodeCamp's YouTube channel is host to a quick and dirty course of my own that'll get you started. The rest of the course curriculum that's available (for free) on my website can finish the job.
But why should you bother?
Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.
In this tutorial, we'll learn How Are Data analysis and Data science Different From Each Other. Many tend to get confused between Big data analysis and data science and often misuse one in place of the other. Here is the difference between data analysis and data science are different from each other.
In this tutorial, we'll learn Streamline Your Data Analysis With Automated Business Analysis. As you navigate running your business, you’ll need to create a data analytics plan for yourself with huge big data to analyse....
Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories.
In this post, we'll learn Getting Started With Data Lakes.<br><br> This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that's designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You'll also explore key benefits and common use cases.