Data Analysis Using Microsoft Excel PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data Analysis Using Microsoft Excel PDF full book. Access full book title Data Analysis Using Microsoft Excel by Ash Narayan Sah. Download full books in PDF and EPUB format.
Author: Ash Narayan Sah
Publisher: Excel Books India
ISBN: 9788174467164
Category :
Languages : en
Pages : 220
Get Book Here
Book Description
Author: Ash Narayan Sah
Publisher: Excel Books India
ISBN: 9788174467164
Category :
Languages : en
Pages : 220
Get Book Here
Book Description
Author: Anita Meehan
Publisher: McGraw-Hill Humanities/Social Sciences/Languages
ISBN: 9780072360516
Category : Psychology
Languages : en
Pages : 0
Get Book Here
Book Description
Elementary Data Analysis by Meehan and Warner introduces students to Microsoft Excel spreadsheets as a tool to be used in Introductory Statistics courses. For years professors have relied on specialized statistical software like SPSS (Statistical Package for Social Sciences) in statistics and research methods courses, but computer technology has become ubiquitous and spreadsheets more popular. This easy to use workbook demonstrates that by utilizing a familiar program such as Excel, students can concentrate more on statistical concepts and outcomes and less on the mechanics of the software. Even for students who are not familiar with spreadsheets, they can learn statistical analysis easier with Excel than with specialized software, and this workbook takes them through step by step.
Author: Grace Edmar Elizar del Prado
Publisher: Partridge Publishing Singapore
ISBN: 1482891018
Category : Business & Economics
Languages : en
Pages : 135
Get Book Here
Book Description
This manuscript contains various approaches in interpreting data and how the unearthed pieces of information be used as practical inputs for decision making. With the aid of Microsoft Excel, presented in a step-by-step manner, data sets that differ in kind, probability, and distributions are analyzed and interpreted with a framework of solidifying fundamental understanding of data analysis and of carrying through these skills in the daily administration of decisions in managing production, people, money, and all forms of resources. This book hopes to complement with the other existing books in research and statistics that prefer to treat problems manually and explain applications theoretically. Students doing basic high school research will benefit from this book. College and graduate students who are doing a classroom research activity will also take full advantage of this. However, some novice researchers and professionals may find this manuscript equally useful; and those others who decided to dislike mathematics but found awe in it nonetheless. This book is really for them.
Author: Dan Remenyi
Publisher:
ISBN: 9781910810187
Category :
Languages : en
Pages : 222
Get Book Here
Book Description
Author: John W. Foreman
Publisher: John Wiley & Sons
ISBN: 1118839862
Category : Business & Economics
Languages : en
Pages : 432
Get Book Here
Book Description
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Author: Michael R. Middleton
Publisher: South Western Educational Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 294
Get Book Here
Book Description
Microsoft Excel 5.0 is a widely used spreadsheet tool and this book is an excellent reference that shows students how to maximize the use of Excel 5.0s new data analysis functions.
Author: Mary Jackson
Publisher: John Wiley & Sons
ISBN: 0470061669
Category : Business & Economics
Languages : en
Pages : 278
Get Book Here
Book Description
This new and unique book demonstrates that Excel and VBA can play an important role in the explanation and implementation of numerical methods across finance. Advanced Modelling in Finance provides a comprehensive look at equities, options on equities and options on bonds from the early 1950s to the late 1990s. The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex 'what if' scenarios. Specifically applies Excel and VBA to the financial markets Packaged with a CD containing the software from the examples throughout the book Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Author: Barbara Lave
Publisher:
ISBN: 9781636350356
Category :
Languages : en
Pages :
Get Book Here
Book Description
This is the first edition of a textbook written for a community college introductory course in spreadsheets utilizing Microsoft Excel; second edition available: https://openoregon.pressbooks.pub/beginningexcel19/. While the figures shown utilize Excel 2016, the textbook was written to be applicable to other versions of Excel as well. The book introduces new users to the basics of spreadsheets and is appropriate for students in any major who have not used Excel before.
Author: Kenneth N. Berk
Publisher: Brooks/Cole
ISBN:
Category : Computers
Languages : en
Pages : 626
Get Book Here
Book Description
This popular hands-on text teaches students how to use Microsoft Excel to solve the kind of statistical problems that arise in business and elsewhere. Even students with no previous experience using computer spreadsheets will find that this text's step-by-step approach, extensive tutorials, and examples, make it easy to learn how to use Excel for analyzing data sets. A CD-ROM that accompanies the text contains StatPlus 2.0 data sets and exercises.
Author: A. Nandy
Publisher: Alpha Science Int'l Ltd.
ISBN: 9781842651674
Category : Computers
Languages : en
Pages : 308
Get Book Here
Book Description
This text presents numerical analysis in an easy and lucid manner requiring no prior knowledge of computer programming or intricacies of mathematics using MS-EXCEL 2000 through built in functions of MS-Excel depicting with ease various analysis. The analysis used can also be done using earlier versions of MS-Excel. The majority of numerical analysis needs fall into the curve fitting, interpolation, solutions of equations, integration methods. For these Excel's features provide a very easy and inexpensive way to get the job done.
