Search results for ""Author Conrad Carlberg""

Gain Deeper Insights, Make Smarter Decisions, and Earn More Profits It’s time to put the full power of Excel quantitative analysis behind your management decisions! Business analysis expert Conrad Carlberg shows you how to use Excel to perform core financial tasks all managers and entrepreneurs need to master: analyzing statements, planning and controlling company finances, making investment decisions, and managing sales and marketing. Carlberg helps you make the most of Excel’s tools and features in everything from business case development to cash flow analysis. Becoming an Excel expert has never been easier. You’ll find crystal-clear instructions, real-world examples, insider insights, step-by-step projects, and much more. It’s all complemented by extensive web-based resources, from sample journals and ledgers to business forecasting tools. · Get more insight from income statements and balance sheets · Manage current assets and value inventories · Summarize transactions from journal to balance sheet · Analyze working capital, cash flow, statements, and ratios · Optimize budgeting and planning cycles · Make more accurate and useful forecasts and projections · Measure product or service quality · Plan investments, set decision criteria, and perform sensitivity analyses · Analyze profits, pricing, costs, contributions, and margins · Make better decisions in uncertain conditions · Understand and maximize the value of fixed assets · Efficiently import and export business data · Use Excel and Power BI to analyze data from QuickBooks or other sources

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Leverage the full power of Bayesian analysis for competitive advantage Bayesian methods can solve problems you can't reliably handle any other way. Building on your existing Excel analytics skills and experience, Microsoft Excel MVP Conrad Carlberg helps you make the most of Excel's Bayesian capabilities and move toward R to do even more. Step by step, with real-world examples, Carlberg shows you how to use Bayesian analytics to solve a wide array of real problems. Carlberg clarifies terminology that often bewilders analysts, and offers sample R code to take advantage of the rethinking package in R and its gateway to Stan. As you incorporate these Bayesian approaches into your analytical toolbox, you'll build a powerful competitive advantage for your organization—and yourself. Explore key ideas and strategies that underlie Bayesian analysis Distinguish prior, likelihood, and posterior distributions, and compare algorithms for driving sampling inputs Use grid approximation to solve simple univariate problems, and understand its limits as parameters increase Perform complex simulations and regressions with quadratic approximation and Richard McElreath's quap function Manage text values as if they were numeric Learn today's gold-standard Bayesian sampling technique: Markov Chain Monte Carlo (MCMC) Use MCMC to optimize execution speed in high-complexity problems Discover when frequentist methods fail and Bayesian methods are essential—and when to use both in tandem

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Excel at predicting sales and forecasting trends using Microsoft Excel! If you're a sales or marketing professional, you know that forecasting sales is one of the biggest challenges you face on the job. Unlike other books on the subject, Excel Sales Forecasting For Dummies, 2nd Edition leaves arcane business school terms and complex algebraic equations at the door, focusing instead on what you can do right now to utilize the world's most popular spreadsheet program to produce forecasts you can rely on. Loaded with confidence boosters for anyone who succumbs to sweaty palms when sales predictions are mentioned, this trusted guide show you how to use the many tools Excel provides to arrange your past data, set up lists and pivot tables, use moving averages, and so much more. Before you know it, you'll become a forecaster par excellence—even if numbers aren't your jam. Choose the right forecasting method Find relationships in your data Predict seasonal sales Filter lists or turn them into charts Consider this guide your crystal ball—and start predicting the future with confidence and ease!

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