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Introduction to Machine Learning Algorithms for Data Analysts: A Beginner’s Guide
In the world of data analytics, machine learning (ML) has become an indispensable tool. As businesses strive to make more informed decisions, understanding and leveraging ML algorithms can provide significant advantages. This guide introduces some of the most common machine learning algorithms used in data analytics, aiming to give data analysts a solid foundation to…
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Unlocking the Power of Data: A Comprehensive Guide to Data Analytics
In today’s digital age, data is often referred to as the new oil. However, like oil, data in its raw form is not particularly useful. It needs to be refined, analyzed, and interpreted to extract valuable insights. This is where data analytics comes into play. In this blog post, we’ll explore what data analytics is,…
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Defining Our Sources: The Categories of Data
Before we start any analysis, we need to consider a few things. First, we need an understanding of our data. Knowing what is in our dataset is imperative, as we must evaluate our data to ensure we have or can develop what we need in order to answer our questions. Regardless of the technology you’re…
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5 Statistics Concepts Everyone Should Know
If you’re like me, you never really got much exposure to statistics in school. It wasn’t until I started my degree in analytics that I really began to delve deep into what statistics really is and why it matters so much in our lives. Given the importance of statistics, I’d like to put together a…
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Estimation and Confidence Intervals: How Sure Are You?
In statistics, we often find ourselves gathering information from a sample in order to try and garner insights into populations. This is the basis of inferential statistics, and it starts with understanding estimations and confidence intervals. In a sense, we’re using measurements from the data we have in order to make educated guesses about the…
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