Analytics in a day (Online)

Join us for a one day, hands-on workshop to get you started on cloud analytics. Enable a truly data-driven culture in your organization through practical experience with cloud analytics.

Analytics in a day (Online)

Join us for a one day, hands-on workshop to get you started on cloud analytics. Enable a truly data-driven culture in your organization through practical experience with cloud analytics.

Some of Key Influencers Visual Features

Key Influencers visual is now generally available ( no preview ), so having updated version of the  Power BI desktop, it is no more a preview feature. This visual is a good one for analysing the data. as I have explained in the post about it ( see here). Now let see some other features Read more about Some of Key Influencers Visual Features[…]

Online Book: Analytics with Power BI and R

About the book; Quick Intro from Author In 2016, after bringing the capability of writing R codes inside Power BI, I’ve been encouraged to publish an online book through a set of blog posts. The main reason to publish this book online, was that there is no integrated and comprehensive book on how to use Read more about Online Book: Analytics with Power BI and R[…]

Over fitting and Under fitting in Machine Learning

The main aim of machine learning is to learn from past data that able us to predict the future and upcoming data. It is so important that chosen algorithm able to mimic the actual behaviour of data. in the all different machine learning algorithms, there is away to enhance the prediction by better learning from Read more about Over fitting and Under fitting in Machine Learning[…]

Prediction via KNN (K Nearest Neighbours) Concepts: Part 1

K Nearest Neighbor (KNN ) is one of those algorithms that are very easy to understand and  has a good accuracy in practice. KNN can be used in different fields from health, marketing, finance and so on [1]. KNN is easy to understand and also the code behind it in R also is too easy Read more about Prediction via KNN (K Nearest Neighbours) Concepts: Part 1[…]

Make Business Decisions: Market Basket Analysis Part 2

In the Part one I have explained the main concepts of Market basket analysis (associative Rules) and how to write the code in R studio. In this post I will explained the process of doing market basket analysis in Power BI. for doing this post I have used the data set from [1]. Power BI Desktop, is Read more about Make Business Decisions: Market Basket Analysis Part 2[…]

Make Business Decisions: Market Basket Analysis Part 1

Market Basket analysis (Associative rules), has been used for finding the purchasing customer behavior in shop stores to show the related item that have been sold together. This approach is not just used for marketing related products, but also for finding rules in health care, policies, events management and so forth. In this Post I will Read more about Make Business Decisions: Market Basket Analysis Part 1[…]

R Data Gathering from Spreadsheet and SQL Server

In previous post you’ve learned about data structures in R. In this post I’ll explain Data Gathering, Data Understanding, and Data Cleaning, which are the main tasks of data management that need to be done before any machine learning process. In this post I will explain how to fetch data from Spreadsheet and SQL Server. Read more about R Data Gathering from Spreadsheet and SQL Server[…]