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Data Analytics Tools

Comprehensive Guide to Data Analysis Tools in 2024: Maximize Your Insights

Introduction In an era where data is considered the ‘new oil,’ the importance of data analysis cannot be overstated. It’s the bedrock upon which insightful business decisions are made, playing an instrumental role in shaping strategies, assessing performance, and forging the path to growth. But in order to unlock the true potential of data, we […]

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How to Create a Pivot Table in Excel

Mastering Pivot Tables in Excel: A Comprehensive Guide

Introduction In today’s data-driven landscape, possessing the skills to analyze and manage data efficiently is invaluable. One of the powerful tools at your disposal within Microsoft Excel is the Pivot Table. Pivot Tables provide a remarkable means of dissecting data, enabling you to easily reorganize, summarize, and filter your data to extract actionable insights. By

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Top 25 Data Science Books in 2024- Learn Data Science Like an Expert

Data Science has emerged to become one of the most paid and highly reputed domains for professionals. As we see more and more companies adopting data science applications in their businesses, there is a surge in the requirement for skilled data science professionals. If you are considering moving in this domain, look into Great Learning’s

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Reasons Why Data-driven Analytics of Interest to Companies

Top Reasons Why Data Driven Analytics Interest Companies

Who would have thought that data analytics will play such a crucial role in the success of a business? According to McKinsey’s research, data-driven analytics companies are 23 times better in acquiring customers, 6 times better in retaining them, and19 times more likely to make tons of profit. So, if Data Analytics courses come to

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Multivariate analysis

Overview of Multivariate Analysis | What is Multivariate Analysis and Model Building Process?

Contributed by: Harsha Nimkar What is Multivariate Analysis? Multivariate Analysis is defined as a process involving multiple dependent variables resulting in one outcome. This explains that the majority of the problems in the real world are Multivariate. For example, we cannot predict the weather of any year based on the season. There are multiple factors

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EDA in Python

Understanding the Exploratory Data Analysis (EDA) in Python

Contributed by: Manorama Yadav Introduction to EDA in Python Exploratory data analysis is the analysis of the data and brings out insights. It’s storytelling, a story that data is trying to tell. EDA is an approach to analyzing the data with the help of various tools and graphical techniques like barplot, histogram, etc. According to

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