When I first wrote the first edition of the run-away bestseller: HOW TO CREATE MULTIPLE STREAMS OF INCOME in 2008, the global economic was just entering recession. Economic recession is a temporary slowdown in economic activity or prosperity. Nigeria and other developing economics were playing the ostrich game. They were too sure the recession would not affect their largely mono-product economies. How wrong they were. I pursued this mandate by organizing seminars in churches across the country with Christian Leadership Skills, as the platform. I also had my consulting outfit: Alaryn Management Centre Ltd operating in the corporate world of consultancy. The scope of streams of income available to me at this stage were consultancy fees and honourarium. One of the reasons why 54% of people working all their lives still end up broke and dependent on others for survival is because, they are working hard for the wrong kind of money. It is hard to become rich at 60, if you have to work hard for certain types of income, which I will be highlighting very shortly. To become rich at 60, you need to learn how to build, buy or create assets. It will all depend on what you want from your money: To be secured, comfortable or rich? The journey towards retiring rich and happy is primarily that of the mind and of the heart, rather than a physical process. A research finding quoted in my earlier best seller How To Fire Your Boss And Hire Yourself, stated that if you randomly select 100 young men at age 20 and follow them up till they are 60 years of age, the following results will manifest in their lives.

2 manuscritos completos en 1 libro

• Anal tica de datos: Una gu a esencial para principiantes en miner a de datos, recolecci n de datos, an lisis de big data para negocios y conceptos de inteligencia empresarial (Data Analytics)
• Miner a de Datos: Gu a de Miner a de Datos para Principiantes, que Incluye Aplicaciones para Negocios, T cnicas de Miner a de Datos, Conceptos y M s

Este libro de anal tica de datos podr a ser la respuesta que est buscando...

Este libro contiene una amplia y valiosa cantidad de informaci n sobre la anal tica de datos que le ayudar a comprender el concepto de data mining o miner a de datos, recolecci n de datos, anal ticas de big data para negocios y conceptos de inteligencia empresarial.

Con este libro, no solo comprender todo lo esencial relacionado con la anal tica de datos, sino que tambi n comprender por qu la anal tica de datos est cambiando el mbito empresarial. Se dar cuenta de que la anal tica de alto rendimiento le permitir hacer cosas que nunca antes hab a pensado, probablemente, y entre otras razones, porque los vol menes de datos eran demasiado grandes, y mucho m s.

Comenzaremos por examinar qu significa realmente la anal tica de datos y qu implica. No se preocupe cuando se encuentre con t rminos desconocidos mientras lee, ya que este libro incluye explicaciones detalladas de palabras que quiz s no entienda.

La primera parte de este libro incluye:

• Descripci n general de la anal tica de datos: Qu es la anal tica de datos (y el an lisis de big data)?
• Anal tica de datos e inteligencia empresarial
• Anal tica de datos y an lisis de datos
• Miner a de datos
• Recolecci n de datos
• Tipos de anal tica de datos
• El proceso: el ciclo de vida de la anal tica de big data
• Anal ticas de comportamiento: utilizaci n de anal ticas de big data para encontrar patrones ocultos de comportamiento en los clientes
• Descubrimiento de m s patrones en anal ticas avanzadas: aprendizaje automatizado (machine learning)
• Y mucho, mucho m s

Al leer la segunda parte de este libro, usted:

• Creaci n de modelos
• C mo preparar sus datos
• C mo depurar sus datos
• Miner a de datos
• Similitudes y distancias de datos
• Efecto de la distribuci n de datos
• Asociaci n de miner a de patrones
• Qu es el an lisis de agrupamiento
• Qu es un valor at pico en la miner a de datos
• C mo lidiar con los valores at picos en la miner a de datos
• M todos de identificaci n de valores at picos en datos
• Aplicaciones de miner a de datos en el sector empresarial

Obtenga este libro ahora para conocer m s sobre Anal tica de datos y Miner a de Datos

Machine learning and automation are disrupting every industry-Advertising is no exception. The modern digital advertising landscape is dominated by the likes of Facebook and Google Ads, and the traditional optimization levers that PPC managers grew accustomed to are being stripped away and replaced by automated solutions. Google AdWords, as we once knew it, no longer exists. We have officially entered the age of automation, and there's no turning back. In Join or Die, Patrick Gilbert shares how he transformed AdVenture Media into a modern, automation-driven advertising powerhouse. From the failures and mistakes that nearly lost the agency multiple clients and millions in revenue, to the exaltation of successful breakthroughs, Join Or Die is brutally transparent, honest and best of all, practical. Gilbert's writing is replete with specific strategies you'll be able to implement in your own campaigns right away. Gilbert also elucidates how the technology that powers the most profitable campaigns actually works, arming his readers with the knowledge to apply automation and machine learning successfully across the entire spectrum of digital advertising channels. If you follow Gilbert's automation playbook, you'll realize the machine isn't your enemy, but a friend in need of your guidance. But the machine waits for no one. Join, or die.

Make some headway in the notoriously tough subject of business statistics

Business Statistics For Dummies helps you understand the core concepts and principles of business statistics, and how they relate to the business world. This book tracks to a typical introductory course offered at the undergraduate, so you know you'll find all the content you need to pass your class and get your degree. You'll get an introduction to statistical problems and processes common to the world of global business and economics. Written in clear and simple language, Business Statistics For Dummies gives you an introduction to probability, sampling techniques and distributions, and drawing conclusions from data. You'll also discover how to use charts and graphs to visualize the most important properties of a data set.

• Grasp the core concepts, principles, and methods of business statistics
• Learn tricky concepts with simplified explanations and illustrative graphs
• See how statistics applies in the real world, thanks to concrete examples
• Read charts and graphs for a better understanding of how businesses operate

Business Statistics For Dummies is a lifesaver for students studying business at the college level. This guide is also useful for business professionals looking for a desk reference on this complicated topic.

Crunch numbers and calculate business solutions with this straightforward guide

Now, it is easier than ever before to understand complex mathematical concepts and formulas and how they relate to real-world business situations. All you have to do it apply the handy information you will find in Business Math For Dummies. Featuring practical practice problems to help you expand your skills, this book covers topics like using percents to calculate increases and decreases, applying basic algebra to solve proportions, and working with basic statistics to analyze raw data. Find solutions for finance and payroll applications, including reading financial statements, calculating wages and commissions, and strategic salary planning.

Navigate fractions, decimals, and percents in business and real estate transactions, and take fancy math skills to work. You'll be able to read graphs and tables and apply statistics and data analysis. You'll discover ways you can use math in finance and payroll investments, banking and payroll, goods and services, and business facilities and operations. You'll learn how to calculate discounts and markup, use loans and credit, and understand the ins and outs of math for business facilities and operations. You'll be the company math whiz in no time at all Find out how to:

• Read graphs and tables
• Invest in the future
• Use loans and credit
• Navigate bank accounts, insurance, budgets, and payroll
• Calculate discounts and markup
• Measure properties and handle mortgages and loans
• Manage rental and commercial properties

Complete with lists of ten math shortcuts to do in meetings and drive your coworkers nuts and ten tips for reading annual reports, Business MathFor Dummies is your one-stop guide to solving math problems in business situations.

How well do you know what you think you know? If you've ever pored over election polling data, argued about climate change, or read an article describing the latest study on a topic you care about, PAINTING BY NUMBERS is for you. Written in an entertaining and approachable style and with humorous illustrations to help explain complex modeling concepts, PAINTING BY NUMBERS is an essential tool for making sense of the numbers shaping modern society.

Machine learning and automation are disrupting every industry-Advertising is no exception. The modern digital advertising landscape is dominated by the likes of Facebook and Google Ads, and the traditional optimization levers that PPC managers grew accustomed to are being stripped away and replaced by automated solutions. Google AdWords, as we once knew it, no longer exists. We have officially entered the age of automation, and there's no turning back. In Join or Die, Patrick Gilbert shares how he transformed AdVenture Media into a modern, automation-driven advertising powerhouse. From the failures and mistakes that nearly lost the agency multiple clients and millions in revenue, to the exaltation of successful breakthroughs, Join Or Die is brutally transparent, honest and best of all, practical. Gilbert's writing is replete with specific strategies you'll be able to implement in your own campaigns right away. Gilbert also elucidates how the technology that powers the most profitable campaigns actually works, arming his readers with the knowledge to apply automation and machine learning successfully across the entire spectrum of digital advertising channels. If you follow Gilbert's automation playbook, you'll realize the machine isn't your enemy, but a friend in need of your guidance. But the machine waits for no one. Join, or die.

There are a lot of different investment opportunities that you can choose from. Some will entail more risk than others, but they can also entail higher profit potentials as well. But one option that many investors may not consider when they first get started in this market is options trading.

This guidebook is going to take some time to explore options trading and how even a beginner can get started making money if they choose the right strategy. Some of the topics that we will discuss about options trading in this guidebook include:

• What is options trading?

• Working with the bull put spread strategy

• Working with the bear call spread strategy

• The importance of the butterfly and condor strategies.

• Working with both the long straddle and the long strangle.

• The bear put spread strategy

• Working with the bull call spread strategy

• The ratio spreads and how they work as a strategy.

• The best ways to reduce your risks when you are working with options trading.

Options trading is a great choice when it comes to investing your money. You will be able to earn unlimited profits without actually having to own the security outright. And this type of investment can work no matter what kind of market conditions are present with a stock. When you are ready to get started with options trading, make sure to check out this guidebook to help you out

In today's day and age, it's become ESSENTIAL that Data Analytics MUST be part of your Business Model.

Having the proper analytics to further enhance your existing or new business is critical for pinpointing problems and achieving successes.

Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science, and Predictive Analytics for Beginners is targeted towards business owners or for anyone interested in wanting an in-depth learning experience with data analytics. Furthermore, for those who want to improve the sales and revenue for their business, but needs a guide regarding Data Analytics, then this book is perfect for you

This book delineates the types of data analytics best for business owners, how to analyze the business, and how to calculate the statistical data.

In addition, this book will thoroughly discus the following topics:

• Why your business should be using data analytics
• Issues with using big data
• Effective data management
• Examples of data management in the real-world
• The different kinds of data analytics and their definitions
• How data management, data mining, data integration and data warehousing work together
• A step-by-step guide for conducting data analysis for your business
• An organizational guide to data analytics
• Tools for data visualization (with links)
• Using social media analytics

I want to make sure this book will provide high value to you and give you new insights that you may have not known before. What makes this book different than other data analytic books is that it is a truly comprehensive guide to help your business prosper and find new ways of looking at your business model from a totally different perspective.

Although this book does not include all information regarding Data Analytics, it does contain useful information that will help you create statistical tables from which you can base your data analysis. I highly recommend this book to anyone looking to start a business or already has one and wants to further improve how they analyze theirs sales, expenses, logistics, and everything in between.

Scroll up to Download this book now Master your business and know how to interpret your data now

Someone is sitting in the shade today because someone planted a tree a long time ago. - Warren Buffett

Do you want to know why WARREN BUFFETT is considered to be one of the most Successful and Inspirational Business Leaders of all time?

In Warren Buffett: A Life of Inspiration, we look at both Buffett's personal life and his much-celebrated life in business to better understand how he became one of the greatest Investors in modern history.

Personal Information You've Never Known Before

I always knew I was going to be rich. I don't think I ever doubted it for a minute - Warren Buffett
This book explains Buffett's roots and how it shaped his career later in life. His journey wasn't seamless and he encountered many roadblocks along the way. Today, though he is consistently ranked among the world's wealthiest people, Buffett is known for his frugality, calculated financial practices, and philanthropy.

A Business Career in Detail
From his beginnings as a young boy and his first business ventures as a student to his professional career as an investor and as the CEO of Berkshire Hathaway, this book explains Buffett's journey towards success. You will learn the most significant skills and qualities that made him the most successful investor ever, plus some of his greatest investing tips.

Here's what else you can learn from this book:

- Buffett's early life and family history
- His Success as a young Entrepreneur
- His rejections and initial attempts at investing
- His path to becoming a billionaire
- Buffett's lifelong friends and partners
- His adherence to principles as an investor
- How Buffett continues to maintain his success
- Life and Business Lessons from Warren Buffett's life
- And many more

Buy Now and Read the True Story of Warren Buffett

Aclare de una vez todas sus dudas....

Este libro de analítica de datos podría ser la respuesta que está buscando...

Este libro contiene una amplia y valiosa cantidad de información sobre la analítica de datos que le ayudará a comprender el concepto de data mining o minería de datos, recolección de datos, analíticas de big data para negocios y conceptos de inteligencia empresarial.

Con este libro, no solo comprenderá todo lo esencial relacionado con la analítica de datos, sino que también comprenderá por qué la analítica de datos está cambiando el ámbito empresarial. Se dará cuenta de que la analítica de alto rendimiento le permitirá hacer cosas que nunca antes había pensado, probablemente, y entre otras razones, porque los volúmenes de datos eran demasiado grandes, y mucho más.

Comenzaremos por examinar qué significa realmente la analítica de datos y qué implica. No se preocupe cuando se encuentre con términos desconocidos mientras lee, ya que este libro incluye explicaciones detalladas de palabras que quizás no entienda.

Estos son algunos de los temas que se exponen en el libro:

• Descripción general de la analítica de datos: Qué es la analítica de datos (y el análisis de big data)?
• Analítica de datos e inteligencia empresarial
• Analítica de datos y análisis de datos
• Minería de datos
• Recolección de datos
• Tipos de analítica de datos
• El proceso: el ciclo de vida de la analítica de big data
• Analíticas de comportamiento: utilización de analíticas de big data para encontrar patrones ocultos de comportamiento en los clientes
• Descubrimiento de más patrones en analíticas avanzadas: aprendizaje automatizado (machine learning)
• Y mucho, mucho más

Consiga este libro ahora para aprender más sobre la analítica de datos!

Self-Service Business Intelligence

Power BI enables business users to interact with corporate information and to extract the reports and intel they need. Power BI allows users to access reports and dashboards using familiar tools and devices. Self-service BI has never been so user-friendly!

The Microsoft Power BI Step-by-Step series will show you how to create compelling visualizations and reports which provide deep insights into your data.

G Com Solutions Limited

G Com Solutions Limited provide Power BI training in Peterborough, London and throughout the UK. Details of their Power BI courses can be found at the following URL:

https: //gcomsolutions.co.uk/microsoft-power-bi-training-courses/

In this third book in the series, we focus on data cleansing and transformation. The techniques covered in this book apply both to using the Query Editor in Power BI Desktop and using Power Query to create dataflows in the Power BI service.

After having plenty of hands-on practice on cleaning and transforming data, you will learn how to leverage templates, parameters and custom functions to create reusable Power BI reporting solutions.

Introduction

Chapter 1: Power BI Dataflows vs Power BI Desktop
Data Preparation
Using a Dataflow as a Data Source
Conclusion

Chapter 2: Trim, Clean and Case
Isolating the Problem
Using the Trim Function
Using the Clean Function
Using the Replace Values Command
Using the Capitalize Each Word Command
Conclusion

Chapter 3: House Keeping and Meta Data
Renaming Items
Renaming Columns
Renaming Query Steps
Adding Descriptions to your Steps
Conclusion

Chapter 4: The Split Columns Command
Tidying up the Data
Using Split by Number of Characters
Creating Relationships
Creating a Treemap Visual
Creating a Filled Map Visual
Conclusion

Chapter 5: Removing Unwanted Rows
Removing Header Rows
Removing an Excel Table Total Row
Conclusion

Chapter 6: Replace Value and Fill Down
The Replace Values Command
Remove Errors and Replace Errors
The Fill Down Command
Conclusion

Chapter 7: The Unpivot Columns Command
What is Pivoted Data?
Importing the Data
Using UnPivot Other Columns
Creating a Bar Chart Visual
Conclusion

Chapter 8: Reordering Columns
Benefits of Changing Column Order
Moving Columns by Dragging
Moving Columns Relative to Other Columns
Conclusion

Chapter 9: Creating Custom Columns
Using Split by Delimiter
Using the Add Custom Columns Command
Conclusion

Chapter 10: Append Queries
Importing the Data
Removing the differences between columns
Using Append Queries as New
Conclusion

Chapter 11: Merge Queries
Using Merge Queries as New
Specifying the Join Kind
Conclusion

Chapter 12: Grouping Data
Benefits of Grouping Data
Adding Groupings
Adding Aggregations
Conclusion

Chapter 13: Power Query Parameters and Templates
Benefits of parameters and templates
Overview of Our Example
Creating Dynamic Titles
Creating parameters
Name and Description
Optional or Required
Parameter Type
Suggested Values
Default Value vs Current Value
Creating Parameters on the Fly
Updating a Data Source via a Parameter
Parameterizing Filter Operations
Creating a Template
Using a Template
Conclusion

Chapter 14. Power Query Custom Functions
Converting a Query to a Function
Connecting to our Example file
Creating a parameter
Invoking a Function
Using the Invoke Custom Function Command
Understanding Function Syntax
Creating a Date of Birth function
Conclusion

Learn Exactly Master on How To start an online Business Selling Other People's Products to Make Passive Income Affiliate marketing is a type of marketing in which an organization rewards its affiliates for bringing in customers or visitors through the affiliates' marketing efforts conducted independently of the organization itself. Most businesses in the world want to grow and increase their revenues by getting more customers. There are several ways how they can accomplish this. The first way is to find customers willing to pay for the products or services that these businesses are selling. They can spend a fortune on advertising, or they can get someone else to get customers for them. Let's say a business is willing to pay $40 for every sale. This means that it can either spend money on marketing or pay it to its affiliates via commissions. Affiliate marketing can be one of the quickest ways to make money on the Internet. To get started with affiliate marketing, you do not need a website, a list of customers or a product. You can simply get an affiliate link, start promoting it and start making cash immediately. Most of the biggest merchants on the Internet, including Amazon, do have affiliate programs. This means that using affiliate marketing you can participate in the sales of some of the hottest products on the Internet even though it is someone else who has created those products. Affiliate marketing is also a great way to get started with marketing on the Internet. A lot of people don't try selling something online because they erroneously believe that they need to create a product or a service first. However, this is simply not true. You do not have to create anything. You can simply do some research, find out what sells well and start selling and advertising it, too. This way you do not have to spend countless hours creating or sourcing products but can start making money and learning Internet marketing by doing very quickly. Finally, affiliate marketing is a great way to add streams of income to already existing businesses. If you have a business, the fact that your customers are buying from you means that they trust you and that they value what you have. You have a relationship with your customers that you can expand using affiliate marketing, recommend products or services and make money in the meantime. For example, if you sell information products to a certain business niche about becoming more successful by making marketing measurable, you can become an affiliate and start selling software that helps your clients accomplish their goals. You could also sell them products and services that help them run their businesses. If you also teach personal productivity, you could be selling vitamins and supplements. The list of the things that you could do is virtually unlimited. One of the biggest misconceptions about affiliate marketing is that it doesn't take any work. Affiliate business model makes perfect sense to businesses that want to recruit affiliates to sell their products or services. Such businesses don't have to invest in advertising or worry about spending advertising dollars ineffectively. All the risk in this business model falls on the shoulders of the affiliates. Here Is The Overview Of The Lessons You Will Learn

• What is Affiliate Marketing and who it is for
• How Affiliates Make Their Money
• How To Find A Profitable Niche
• How To Target Your Audience
• The Difference In Mobile and Target Marketing
• How to Optimize Campaigns
• And Much More..
Let's Go Out There and create success

You don't need to buy expensive statistical software like SPSS. This book teaches you R (R can be downloaded for free), People Analytics, Social Media Analytics, Text Mining and Sentiment Analysis. It is written for people with absolutely NO knowledge of R programming, with step-by-step print-screen instructions. The sample R codes are kept simple, short & straightforward so that you are not overwhelmed with too much unnecessary information, and focuses on the R codes relevant to people analytics, so that you'll be up-and-running in no time. If you are new to R programming, this is the book for you. As R is developed specially for statistical analysis, you can run complicated statistical number crunching (Correlation, Multiple & Logistic Regression, etc.) by simply entering a few commands. This book covers a wide People Analytics scope (Benefits, Compensation, Culture, Diversity & Inclusion, Engagement, Leadership, Learning & Development, Personality Traits, Performance Management, Recruitment, Sales Incentives) with numerous real-world examples, and shows how People Analytics with R can help you:
1) Run Social Media Analytics, Text mining & Sentiment Analysis with R.
2) Predict employees' flight-risk using R's Correlation & Logistic Regression function.
3) Identify the personality traits of top performing Customer Service staff and Sales staff using R's correlation function.
4) Predict impact of Employee Engagement on Customer Satisfaction, Revenue and Shareholder Returns, etc. using R's Correlation & Multiple Regression function.
5) Predict impact of Learning & Development on Sales, using R's Multiple Regression function.
6) Predict Diversity & Inclusion's impact on Revenue and EBIT using R's Multiple Regression function. You'll be taught how to convert your company's ethnicity diversity mix (70% Chinese: 20% Malay: 10% Indian) to an index number (e.g. diversity index of 2.7), then use R's Multiple Regression to predict your company sales, if your company's diversity Index is 2.7 and if you spend $90 on advertising.

2 manuscritos completos en 1 libro

• Anal tica de datos: Una gu a esencial para principiantes en miner a de datos, recolecci n de datos, an lisis de big data para negocios y conceptos de inteligencia empresarial (Data Analytics)
• Miner a de Datos: Gu a de Miner a de Datos para Principiantes, que Incluye Aplicaciones para Negocios, T cnicas de Miner a de Datos, Conceptos y M s

Este libro de anal tica de datos podr a ser la respuesta que est buscando...

Este libro contiene una amplia y valiosa cantidad de informaci n sobre la anal tica de datos que le ayudar a comprender el concepto de data mining o miner a de datos, recolecci n de datos, anal ticas de big data para negocios y conceptos de inteligencia empresarial.

Con este libro, no solo comprender todo lo esencial relacionado con la anal tica de datos, sino que tambi n comprender por qu la anal tica de datos est cambiando el mbito empresarial. Se dar cuenta de que la anal tica de alto rendimiento le permitir hacer cosas que nunca antes hab a pensado, probablemente, y entre otras razones, porque los vol menes de datos eran demasiado grandes, y mucho m s.

Comenzaremos por examinar qu significa realmente la anal tica de datos y qu implica. No se preocupe cuando se encuentre con t rminos desconocidos mientras lee, ya que este libro incluye explicaciones detalladas de palabras que quiz s no entienda.

La primera parte de este libro incluye:

• Descripci n general de la anal tica de datos: Qu es la anal tica de datos (y el an lisis de big data)?
• Anal tica de datos e inteligencia empresarial
• Anal tica de datos y an lisis de datos
• Miner a de datos
• Recolecci n de datos
• Tipos de anal tica de datos
• El proceso: el ciclo de vida de la anal tica de big data
• Anal ticas de comportamiento: utilizaci n de anal ticas de big data para encontrar patrones ocultos de comportamiento en los clientes
• Descubrimiento de m s patrones en anal ticas avanzadas: aprendizaje automatizado (machine learning)
• Y mucho, mucho m s

Al leer la segunda parte de este libro, usted:

• Creaci n de modelos
• C mo preparar sus datos
• C mo depurar sus datos
• Miner a de datos
• Similitudes y distancias de datos
• Efecto de la distribuci n de datos
• Asociaci n de miner a de patrones
• Qu es el an lisis de agrupamiento
• Qu es un valor at pico en la miner a de datos
• C mo lidiar con los valores at picos en la miner a de datos
• M todos de identificaci n de valores at picos en datos
• Aplicaciones de miner a de datos en el sector empresarial

Obtenga este libro ahora para conocer m s sobre Anal tica de datos y Miner a de Datos

No detailed description available for Mathematics for Business.

Dive into the world of data manipulation and analysis with Excel(R) for 2024, the ultimate guide that caters to both beginners and advanced users seeking to harness the full potential of Microsoft(R) Excel(R). Whether you are a spreadsheet novice aiming to grasp the basics or an experienced user aiming to elevate your skills, this comprehensive book has you covered.

For Beginners: Embark on your Excel journey with clarity and confidence. Excel(R) for 2024 starts with a friendly introduction to the Excel interface, teaching you how to navigate the workbook environment, input data effectively, and create visually appealing worksheets. Step-by-step tutorials and practical examples demystify the essential functions and formulas, ensuring you master the core tools to organize, calculate, and visualize your data.

Discover how to:
Create and format spreadsheets with ease.
Manipulate data using fundamental functions and formulas.
Craft professional-looking charts and graphs to convey insights.
Optimize your workflow by utilizing keyboard shortcuts and essential tips.

For Advanced Users: Take your Excel expertise to the next level and unlock the hidden potential of this powerful tool. Excel(R) for 2024 delves into advanced techniques that will empower you to conquer complex tasks and excel in data analysis. You will learn how to leverage pivot tables for dynamic data summaries, and you will learn the tricks that professionals use to save time and achieve accurate results.

Explore advanced topics such as:
Harnessing the full power of pivot tables and slicers.
Building dynamic spreadsheets with advanced formulas and array functions.

What You'll Find Inside:
Concise explanations of Excel's key features and functions.
Real-world examples and practical exercises for hands-on learning.
Troubleshooting tips to overcome common pitfalls.
Strategies for data visualization that enhance your insights.

Whether you are a student, a professional, or simply someone wanting to sharpen your Excel skills, Excel(R) for 2024 is your indispensable companion. With its accessible approach and in-depth coverage, this book ensures that you not only grasp the basics but also master the art of harnessing Excel's potential to its fullest. Get ready to transform your relationship with data - from beginner to virtuoso, the journey starts here.

Mathematical finance refers to a branch of applied mathematics that deals with mathematical modeling of financial markets and problems. It is an emerging field that aims to apply mathematical formulas and modeling for creating financial resource values and pricing structures. The disciplines of financial engineering and computational finance are heavily interlinked with mathematical finance. Mathematical economics is the use of mathematical techniques for representing theories and examining issues related to economics. It employs mathematical principles and instruments for developing economic ideas and examines economic quandaries. Mathematics enables the formulation of meaningful, testable hypotheses about broad and complex topics that would be difficult to express informally. Furthermore, it enables the formation of positive and particular claims associated with debatable topics that are otherwise unattainable without the use of mathematics. This book aims to shed light on the applications of mathematical methods for finance and economics. It is a resource guide for experts as well as students.

This book is a brief and handy guide for the use of Microsoft Excel to solve time value of money problems. It presents step-by-step instructions for solving the most important time value of money problems along with brief explanations of the relevant financial theory related to these problems. Thus, it provides not only the how to but also the why of time value of money problem solving that are important for investment decision-making.

Glencoe s Mathematics for Business and Personal Finance is the only text on the market that offers teachers point-of-use online professional development, interactive online help for students and the option of purchasing an interactive online text with a grade book. As always, we have maintained our exclusive coverage of key core academic content, and our research-based reading strategies.