Posts In Category "Data Analytics"
Predictive Modeling: The Ultimate Guide
What Is Predictive Modeling? Before we answer ‘what is predictive modeling’, let’s understand the basic uses of data. There are three most common uses of data: Analytics, monitoring, and prediction. Data Analytics is the use of past data to infer which event occurred, when it did, and why it did. Real-time Data Monitoring provides information […]
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A-Z Guide on opencv Image Processing in Python
Did you know that we create 1.7MB data every second? A huge part of this data consists of images, media, and video files. opencv Image processing in python helps in handling and utilizing image-based data. With multiple data sets being collected in the organizations every day, image processing in python simply assists in finding a […]
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In-Depth Understanding Bagging and Boosting – Learning Ensemble
If you ever watched the popular game show Kaun Banega Crorepati, you would be familiar with the audience poll – one of the lifelines available to contestants when faced with doubt. This particular option, if you have observed carefully, turns out to be the most reliable, as the audience almost always polls correctly. The same […]
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How to Start a Career in Data Science – Webinar Recording
By 2025, the total amount of digital data created worldwide will rise to 175 zettabytes. Almost every interaction that we have with technology involves data. A data scientist’s role includes analyzing complex datasets to derive insights for making viable business decisions. According to LinkedIn, there is a massive demand for professionals who can mine and interpret […]
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Data Science Hiring Trends to Watch Out for in 2020
Data Science Hiring Trends 2020 With a population of 7.7 billion, our world generates 2.5 quintillion bytes of data every day. Consequently, data scientists, data engineers, and business analysts are among the most sought-after positions. Data Science is everywhere and predicted to grow over the next decade. However, its landscape changes over time with new introductions […]
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A Practical and In-depth Introduction to Prescriptive Analytics
Prescriptive analytics is an integral part of business analytics. In business, you have to make decisions based on varying kinds of data. Every problem in business and life, as well, is unique. No “one shoe fits all sizes” kind of a solution exists in the industry. It depends on the situation. Hence, we can define […]
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How to Make Histograms: Their Examples & Types
We all have seen and heard about the histogram and the different ways to interpret and create them. But why are we willing to spend so much time on a set of bars or straightened lines, as some people call it. Let’s take the example of the book set of a kindergarten child. Have you […]
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Ultimate Guide on Using Hlookup in Excel
Here is a guide for Hlookup in excel for the beginners. You first need to understand the concept of Hlookup in excel and how we can use it for an excel sheet. An excel sheet contains rows and columns. Take an example where you want to retrieve data from any particular row or a column. […]
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Know Everything About Vlookup and Hlookup in Excel
Hlookup and Vlookup are functions in Excel that allow you to use a section of your spreadsheet as a lookup table. Electronic Documents in the tabular form are often called a spreadsheet. In these specific types of documents or spreadsheet data is divided into cells. In each of these calls may contain a value in […]
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The Five Major Assumptions of Linear Regression
Before we go into the assumptions of linear regressions, let us look at what a linear regression is. Here is a simple definition. Linear regression is a straight line that attempts to predict any relationship between two points. However, the prediction should be more on a statistical relationship and not a deterministic one. This quote […]
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