You can download Excel Data Analysis ebook for free in PDF format (16.0 MB). This open book is licensed under a Creative Commons License (CC BY). The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics - yet also need to learn the topic quickly and without overly academic explanations. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The topics you will be learning this week: Performing logical operations with IF Applying advanced logical operations Categorising data with VLOOKUP Matching data with VLOOKUP and XLOOKUP and Advanced data matching with INDEX and MATCH.Book DescriptionThis book offers a comprehensive and readable introduction to modern business and data analytics. You will learn about one of the most widely used lookup functions in business - VLOOKUP, as well as other lookup functions such as INDEX and MATCH, as well as Excel newest lookup function - XLOOKUP. You will then learn about lookup functions - these are widely used in data analytics for connecting data sets as well as error checking. Free download book Excel Data Analysis, Modeling and Simulation, Hector Guerrero. For more complex logic tree scenarios, you will learn how to use nested IF functions to evaluate data. You can download Excel Data Analysis ebook for free in PDF format (16.0 MB). You will then learn to conduct logic tests and use conditional operations. You will start by learning the concept of conditional logic, and how conditional logic works in Excel formulas. The two of these tools together will push your data analytics to the next level! Excel has several logical functions and this module explores some of them, such as AND, OR, and IF. You will learn two great Excel skills in this week’s module - first, you will learn about conditional logic, and second, you will learn about automating lookups. Transform your skills, your confidence, and your opportunities by adding this new set of skills to your repertoire. Data Analysis is a process of studying, cleaning, modeling, and transforming data with the purpose of finding useful information, suggesting conclusions, and supporting decision-making. The user of this e-book is prohibited to reuse retain. All the content and graphics published in this e-book are the property of Tutorials Point (I). The Excel Skills for Data Analytics and Visualization courses are the sequel to one of most successful specializations on Coursera, Excel Skills for Business, which has attracted hundreds of thousands of learners and top ratings. Data Analysis with Excel is a comprehensive tutorial that provides a good insight into the latest and advanced features available in Microsoft Excel. You will find that Zara's trials and tribulations sound familiar, and together with Zara, you will develop your Excel skills along the way - and, importantly, have some fun doing it. Who is Zara? Well, she is no-one and everyone. To make the content easy to relate to and to personalize the learning experience, we are going to follow Zara's journey through the course. Gain hands-on experience in Python, a powerful and versatile programming language widely used for data analysis and manipulation. This course will enable you to build a strong foundation in the fundamentals, helping you to be more efficient in your day-to-day and developing the necessary skills to work with the more advanced techniques used in later courses. This comprehensive course is designed to empower you with proficiency in key tools and methodologies, including Python programming, Excel, statistical analysis, data analysis, and data visualization. When you have completed the course, you will be able to use a range of Excel tools and functions to clean and prepare data for analysis automate data analysis with the help of Named Ranges and Tables and use logical and lookup functions to transform, link and categorise data. In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this. As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance.
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