Introduction
Excel is the staple spreadsheet program of the business world for data recording, manipulation, and analysis. And it is also one of the best tools to generate graphs and charts for reporting.
But the plethora of chart options available might be daunting for the first-time viewer: from pies and waterfalls to histograms and scatterplots, which graph should you choose and for what use cases?
In this article, I will explain the four most commonly encountered datasets and
In BI Discussion
Todays' topic is Components of Data Warehouse / Business Intelligence Architecture
Based on your practical experience, add couple of insights to the topic.
Do you have some or the other reason to not being able to do something? Or to keep postponing? Check yourself of excusitis which the successful people refrain themselves from!!
Hello Everybody, this is my first video- its a small part of my summary from the book - The Magic of Thinking Big. Go for it if you wonder- how successful people think! Please share your feedback. If you like it, I will share the second part soon. Hope you have a good time watching it. Here’s the link to it.
Whether you are an analyst doing research, or student making a project, you have to many times extract data from pdf for analysis in excel. Here is a very simple and smart way of doing the same
What is IOT concept & how do you relate it with business intelligence & analytics.
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These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools
The 45 data science techniques
Linear Regression
Logistic Regression
Jackknife Regression *
Density Estimation
Confidence Interval
Test of Hypotheses
Pattern Recognition
Clustering - (aka Unsupervised Learning)
