Data analysis with Python part 2
A beginners guide for data analysis with Python - part 2 : aggregation, indexes and visualisations.
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Data analysis with Python part 1
A beginners guide for data analysis with Python - part 1.
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How to become data analyst
Data Analyst is a multidisciplinary profession in which data is analyzed with the help of statistical tools. In this post I will guide how to become a data analyst.
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Normalizing data in SQL
This is the third part in a series of SQL analytics applications, this section will deal with normalizing data in sql.
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Analytical implementations of SQL language – Rank
In this chapter I will focus on analytical implementation that can be executed in SQL using the Rank function.
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Analytical implementations of SQL language – Group By
This post is the beginning of a series in which I will describe common analytical SQL queries that a data analyst is doing on a daily basis. In this chapter…
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AutoML and data analytics
AutoML algorithms are changing the field of data science but they can also help data analysts to create better analysis.
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Common mistakes in data analysis
This article covers some famous cases of common mistakes in data analysis.
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The pros and cons of Power BI
The following post describes the pros and cons of the Power BI tool. I admit I like working with the tool but I will try to be as objective as possible.
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