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Basic Statistics Crash Course for data science

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Basic Statistics Crash Course for data science A solid understanding of statistics is crucial for anyone who wants to work with data in data science, economics, psychology, social sciences, business, sports, etc. But the terminology and calculations involved in statistics can be overwhelming for beginners. That’s why we created our Basic Statistics Crash Course that provides a simple example to help you understand fundamental statistical concepts. Our Basic Statistics Crash Course is perfect for preparing for university exams or enhancing your analytical skills. Soon, you’ll be well-equipped to tackle statistics questions during your data science interview or conduct analyses in your work or studies. What Is Statistics for data science? Statistics concerns the collection, analysis, interpretation, and representation of data. Statisticians gather data through surveys, experiments, and observations. They form hypotheses and use statistical methods and models to test them, draw conclusion...
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All You Need To Know About Statistics And Probability

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What Is a SARIMAX Model?

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How to Perform Market Basket Analysis in Python

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How to Perform Market Basket Analysis in Python Market basket analysis is a powerful data science application that improves user experience and encourages purchases, which adds direct business value to companies. In the past, marketers would often use their intuition when creating product combinations and building marketing strategies. Now that organizations are able to collect and store more data than ever before, they use their findings to target customers and increase sales. They hire data scientists and analysts in marketing teams to make these decisions instead. In this article, I will explain some of the theory behind market basket analysis and show you how to implement it in Python. Table of Contents What Is Market Basket Analysis? How Does Market Basket Analysis Work? How to Perform Market Basket Analysis in Python? Market Basket Analysis in Python: Next Steps What Is Market Basket Analysis? Market basket analysis is used by companies to identify items that are frequently purch...
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Who is a Data Scientist?

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Who is a Data Scientist? Who is a Data Scientist? The other day, I read an article on  venturebeat.com  that revealed how advanced data analytics helped Obama win the 2012 presidential elections! This and more stories like Bank of America benefiting from its data-intensive technologies or Wipro putting in $30 million in a US-based data science firm or Paypal hiring data scientists, give a clear reflection that Data Scientist is the sexiest job of the 21 st  century as quoted by  Harvard. A data scientist is a highly skilled professional who possesses a unique combination of technical expertise, domain knowledge, and analytical acumen.  Their primary role revolves around extracting valuable insights and knowledge from large and complex datasets using various tools, programming languages, and statistical techniques.  Data scientists not only possess a strong foundation in mathematics, statistics, and computer science but also have the ability to understand bu...
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