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The book was written in a way that helps readers transfer their knowledge about data into new tools and techniques in an approachable manner. I also took conceptual knowledge of statistics into these playgrounds. I benefited from this book by learning the technical progression from Excel into Python and R languages. Jordan Goldmeier, Microsoft Excel MVP and Head of Anarchy Data George lays out exactly what you need to do to bridge from Excel into data science and analytics. This book is uniquely poised to be used as both a reference and a primer on business and data analytics.Īiden Johnson, Data Scientist & Mentor at Breakthrough Data Science I’m obviously pleased with the book, but don’t take my word for it! Check out these reviews: Conclusion and Next Steps What people are saying: Data Manipulation and Visualization in Pythonġ4. First Steps with Python for Excel Usersġ2. Data Manipulation and Visualization in Rġ0. Foundations of Exploratory Data AnalysisĨ. If you would like more practice with these topics before moving on, I suggest Excel 2019 Bible by Michael Alexander et al.

Basic plotting (bar charts, line charts, and so forth).

Sorting, filtering, and aggregating data with PivotTables.

Combining data sources ( VLOOKUP(), INDEX()/ MATCH(), and so forth).

Conditional logic and conditional aggregation ( IF() statements, SUMIF()/ SUMIFS(), and so forth).

Absolute, relative, and mixed cell references.

The Excel topics you should be familiar with include the following:

This book assumes no prior knowledge of R or Python that said, it does rely on moderate knowledge of Excel to flatten that learning curve.

Xlminer analysis toolpak correlation how to#

I address how to install them later in the book. R and Python are both free, open source tools available for all major operating systems.

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As long as you have a paid version of Excel 2010 or greater for either Windows or Mac installed on your machine, you should be able to follow along with the majority of the instruction in this book, with some variations, particularly with PivotTables and data visualization. To meet the book’s objectives, I make some technical and technological assumptions: Technical RequirementsĪdvancing into Analytics was written on a Windows computer with the Office 365 version of Excel for desktop. Few books cover this combination, even though the progression from spreadsheets into programming is common for analysts, myself included. We’ll be using Excel, R, and Python because these are powerful tools, and because they make for a seamless learning journey. With the tools and frameworks you’ll pick up in this book, you will be well positioned to continue learning more advanced data analysis techniques.

Exploring and testing relationships is core to analytics. To that end, I include a learning objective in the preface of Advancing into Analytics.īy the end of this book, you should be able to conduct exploratory data analysis and hypothesis testing using a programming language.

Identify, install, and implement the most useful open source packages for your needsĪ good product expresses and delivers on a promise to its audience.

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Navigate and execute code in Jupyter notebooks.

Perform common data wrangling tasks such as sorting, filtering, and aggregating using R and Python.

Load, view, and write datasets using R and Python.

Make compelling business recommendations using inferential statistics.

Explore a dataset for potential research questions to check assumptions and to build hypotheses.

With this practical book at your side, you’ll learn how to: This book demonstrates key statistical concepts from spreadsheets and pivots your existing knowledge about data manipulation into R and Python programming. Advancing into Analytics will lower your learning curve.Īuthor George Mount, founder and CEO of Stringfest Analytics, clearly and gently guides intermediate Excel users to a solid understanding of analytics and the data stack. Data analytics may seem daunting, but if you’re familiar with Excel, you have a head start that can help you make the leap into analytics.