Mastering Data Analytics with Excel Dr. Isaac Gottlieb
- Autor:
- Dr. Isaac Gottlieb
- Wydawnictwo:
- BPB Publications
- Ocena:
- Stron:
- 378
- Dostępne formaty:
-
ePubMobi
Opis
książki
:
Mastering Data Analytics with Excel
Excel is a powerhouse for modern analytics, bridging the gap between raw data and strategic action. Beyond simple spreadsheets, its true potential lies in complex business modeling, data preparation, and advanced computation. By mastering the Analysis ToolPak, Solver, and dynamic visualizations, users can transform static rows into a responsive platform that uncovers the why behind the numbers.
This book provides a comprehensive, step-by-step roadmap for students and professionals alike. The journey begins with data cleaning and essential functions before diving into sophisticated modeling. You will explore high-level capabilities, including PivotTables, What-If Analysis, and correlation methods. It also bridges the gap into predictive analytics, teaching you how to use regression, time series analysis, and Excels Forecast Sheet to anticipate trends and model future scenarios.
By the end of this book, readers will move beyond basic data entry to become proficient analysts capable of solving complex problems. You will be equipped to optimize performance and lead with confidence. This book ensures you do not just use Excel, you harness it to drive the smarter, data-backed decisions that provide a clear competitive advantage in any industry. What you will learn
Essential Excel functions for analysis, including lookups and conditional formulas.
Techniques for handling dates, times, and large datasets efficiently.
Creating intuitive dashboards with PivotTables, slicers, and visualizations.
Using advanced tools such as What-If Analysis, Solver, and the Analysis ToolPak.
Applying correlation and optimization techniques to real-world problems.
Turning complex data into actionable insights for strategic planning.
Forecasting with time series, regression, moving averages, and Excels Forecast Sheet. Who this book is for
This book is for students, professionals, and decision-makers who want to use Excel to turn data into insights. Whether you are new to analytics or looking to sharpen your skills, it offers practical, step-by-step guidance to help you make smarter, data-driven decisions. Table of Contents
1. Data Analytics Overview
2. Data Analysis with Excel
3. Cell and Range Names
4. Importing Data into Excel
5. Data Validation
6. AI in Pattern Recognition
7. Cleaning and Reshaping Data with Text Functions
8. Cleaning Data Containing Date and Time Values
9. LOOKUP, INDEX, and MATCH Functions
10. Counting Functions in Excel
11. SUMIF, AVERAGEIF, SUMIFS, and AVRERAGEIFS
12. Sorting and Filtering Data
13. Time and Date Functions
14. Excel Subtotals
15. Spinner Buttons, Scroll Bars, Option Buttons, and Checkboxes
16. Data Visualization
17. Estimating Demand and Supply Curves
18. Exploring Data with PivotTables and PivotCharts
19. Analysis with PivotTables, Slicers, and Timelines
20. Power Pivot and Data Model
21. Explaining What-If Analysis
22. Optimization with Excel Solver
23. Excel Data Analysis ToolPak
24. Using Correlations to Summarize Relationships
25. Understanding Time Series
26. Using Moving Averages
27. Exploring Regression Data
28. Excels Forecast Sheet
Wybrane bestsellery
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A practical guide to using Excel for decision making, forecasting, optimization, and more KEY FEATURES Solve a wide range of decision-making problems in operations, finance, and statistics. Build and use Excel models to analyze data and make informed decisions. Use the Excel Solve function to find the optimal solution to a problem. DESCRIPTION This-
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ebook
(71,91 zł najniższa cena z 30 dni)
71.91 zł
79.89 zł (-10%) -
-
Learn Everything about Excel Charts, PivotTables, Dashboards and Master Analytic Techniques for Decision Making DESCRIPTION Excel's charts, graphs, and reports are beneficial, so it's time to use them to your advantage. Learn how to execute the most innovative analysis on your preferred data using PivotTables, PivotCharts, What-if-Analysis, descrip-
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ebook
(71,91 zł najniższa cena z 30 dni)
71.91 zł
79.89 zł (-10%) -
Szczegóły książki
- ISBN Ebooka:
- 978-93-658-9188-1, 9789365891881
- Data wydania ebooka :
-
2026-01-09
Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna
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- Język publikacji:
- angielski
- Rozmiar pliku ePub:
- 48.8MB
- Rozmiar pliku Mobi:
- 48.8MB
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