مایکروسافت اکسس، اکسل و پاور بی آی برای مبتدیان و کاربران قدرتمند؛

دسته: آفیس، پایگاه داده‌ها و SQL، سرمایه گذاری
مایکروسافت اکسس، اکسل و پاور بی آی برای مبتدیان و کاربران قدرتمند؛

سال انتشار: 2021  |  547 صفحه  |  حجم فایل: 41 مگابایت  |  زبان: انگلیسی

MICROSOFT ACCESS, EXCEL & POWER BI FOR BEGINNERS & POWER USERS: The Concise Microsoft Access, Excel & Power BI A-Z Mastery Guide for All Users
نویسنده
Tech Demystified
ناشر
Independently published
ISBN10:
B09732RXNW
ISBN13:
9798521911677

 

قیمت: 16000 تومان

خرید کتاب توسط کلیه کارت های شتاب امکان پذیر است و بلافاصله پس از خرید، لینک دانلود فایل کتاب در اختیار شما قرار خواهد گرفت.

برچسب‌ها:  اکسس  اکسل  پاور بی آی  

عناوین مرتبط:


Have you set out to become a pro in the use of Microsoft Access, Excel and Power BI? Are you stuck and have been struggling to have a smooth glide through these powerful Microsoft apps? If yes, then, discover the keys to glide with ease in this guide! Firms, individuals, business owners, and organizations amidst others at one point or the other have the need to compile and analyze data, which plays a key role, as it helps to track the progress, areas of strength, areas of improvement, what to continue, and what to discontinue to enhance their growth. In the bid of doing this, the challenge faced by organizations is the lack of sufficiently skilled data analysts, who have the challenge of accessing several data from various sources amidst others. The availability of a well-detailed and practical guide for analysts to use will help to solve these challenges, help them navigate their path with data, and also become skilled analysts organizations seek. This exactly is what this guide is set to achieve as it is loaded with explanations and illustrations needed to become a sought-after analyst. Microsoft Access, Excel and Power BI are combo of business analytics tool, that lets anyone connect to, visualize, and analyze data with greater speed, efficiency, and understanding. This guide is for business intelligence professionals, departmental representatives, management, data analysts, and anyone that wants to present data in a very precise way and create visuals without being stuck. There’s no two-way about it, I assure you that at the end of using this guide, you will become a longed-for analyst. All explanations are backed up with step-by-step illustrations to aid quick mastery; ensure you practice alongside reading this guide to get the best of it. In this guide, you’ll get learn to use Microsoft Access to: Optimize database design for efficiency Create Tables to store data Use templates and get a head start Make queries to extract specific data Produce intelligible Forms for data entry Construct informative Reports quickly Import and export data to Excel and Word Securely share your well-designed database and reports …and lots more You’ll at the same time learn to use Power BI: Understand the components and architecture of Power BI Download and install Power BI desktop Setup the Power BI environment yourself Find your way around the interface, understand the features, and how to use them Import data from various sources like web, Excel, SQL Server, Access Database, and others Transform data from various sources using Power Query Editor Create KPI visualization Embed a Power BI report Publish a report from Power BI Desktop to Power BI Service Work with Dashboards in Power BI Services Share dashboard with individuals or groups Change a column graph into KPI Pin data to dashboard Rename data, create an additional column and remove unwanted columns Join imported tables by merging queries Connect files from your device to Power BI Service Set a report as featured dashboard Remove decimal and additional words from your table ... and a lot more And finally, you’ll get to learn Excel advanced techniques for various analysis of diverse data to meet various needs, such as the use of Sparkline, sorting for arranging data, Filtering for isolating useful data in the list, Goal seek for getting variable of a particular result, conditional formatting for carrying out special order with the data set, using one and two input data for carrying out a special experiment on the data to derive other essential variables or elements.


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