New Career In Data Analytics With Excel 2023
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Author | : Dr. Vinod Walwante - डॉ. विनोद वाळवंटे |
Publisher | : Dr Vinod Radhatai Vishwanath Walwante |
Total Pages | : 108 |
Release | : 2024-08-21 |
Genre | : Antiques & Collectibles |
ISBN | : |
Are you starting a new career in data analytics? New Career in Data Analytics with Excel 2023 is your go-to resource for learning how to use Excel 2023 to excel in this dynamic field. This book is designed for both newcomers and those looking to enhance their data analysis skills, offering clear instructions and practical exercises. Learn how to efficiently manage and analyze large datasets, create detailed reports, and apply advanced Excel functions. With the latest features of Excel 2023, including improved data visualization tools and sophisticated formulas, you’ll gain the skills needed to handle complex data tasks with ease. The book covers a wide range of topics, from basic data manipulation to advanced analytical techniques, ensuring you can confidently perform data analysis and make informed decisions. Each chapter includes hands-on activities and real-world examples to help you apply what you’ve learned and gain valuable experience. Whether you’re transitioning into data analytics or aiming to refine your existing skills, New Career in Data Analytics with Excel 2023 provides the tools and knowledge you need to succeed. Start your journey in data analytics today and see how Excel 2023 can help you advance your career.
Author | : Dr Vinod Walwante - डॉ. विनोद वाळवंटे |
Publisher | : Dr Vinod Radhatai Vishwanath Walwante |
Total Pages | : 108 |
Release | : 2024-08-21 |
Genre | : Antiques & Collectibles |
ISBN | : 9334112751 |
Starting a new career in data analytics? Excel 2023: Manage Your New Career in Data Analytics with Dr Vinod Walwante - डॉ. विनोद वाळवंटे is the resource to help you develop the necessary Excel skills. This book focuses on practical, real-world applications of Excel 2023, guiding you through key tasks in data analysis. Whether you're just beginning in data analytics or looking to improve your skills, Dr Vinod Walwante - डॉ. विनोद वाळवंटे offers clear instructions and hands-on exercises. Discover how to work with large datasets, create effective reports, and use advanced Excel functions to tackle complex problems. The book covers a wide range of topics, from basic Excel functions to more advanced techniques, aimed at helping you work more efficiently and accurately in data-driven roles. With these skills, you’ll be prepared to handle the challenges of the fast-paced data analytics field. This book is ideal for beginners and those transitioning into data analytics. Excel 2023 offers the knowledge and tools you need to succeed in your new role. Enhance your Excel capabilities and take your data analysis skills to the next level with this valuable resource.
Author | : John W. Foreman |
Publisher | : John Wiley & Sons |
Total Pages | : 432 |
Release | : 2013-10-31 |
Genre | : Business & Economics |
ISBN | : 1118839862 |
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 | : Thomas G. Calderon |
Publisher | : Emerald Group Publishing |
Total Pages | : 181 |
Release | : 2023-12-14 |
Genre | : Business & Economics |
ISBN | : 1837971749 |
Advances in Accounting Education: Teaching and Curriculum Innovations Volume 27 features 11 peer-reviewed papers surrounding the themes of applied professional research and skills building, generative artificial intelligence and analytics in the accounting curriculum then innovative practices in cost accounting and other areas.
Author | : Les Kirkup |
Publisher | : Cambridge University Press |
Total Pages | : 468 |
Release | : 2002-03-07 |
Genre | : Computers |
ISBN | : 9780521797375 |
An essential introduction to data analysis techniques using spreadsheets, for undergraduate and graduate students.
Author | : Robert De Levie |
Publisher | : Oxford University Press, USA |
Total Pages | : 631 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 0195152751 |
This guide to Excel focuses on three areas--least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data analysis tasks. De Levie is affiliated with Bowdoin College. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Author | : Bernard Obeng Boateng |
Publisher | : Packt Publishing Ltd |
Total Pages | : 316 |
Release | : 2023-11-30 |
Genre | : Computers |
ISBN | : 1803236922 |
Save time analyzing volumes of data using a structured method to extract, model, and create insights from your data Key Features Acquire expertise in using Excel’s Data Model and Power Pivot to connect and analyze multiple sources of data Create key performance indicators for decision making using DAX and Cube functions Apply your knowledge of Data Model to build an interactive dashboard that delivers key insights to your users Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMicrosoft Excel's BI solutions have evolved, offering users more flexibility and control over analyzing data directly in Excel. Features like PivotTables, Data Model, Power Query, and Power Pivot empower Excel users to efficiently get, transform, model, aggregate, and visualize data. Data Modeling with Microsoft Excel offers a practical way to demystify the use and application of these tools using real-world examples and simple illustrations. This book will introduce you to the world of data modeling in Excel, as well as definitions and best practices in data structuring for both normalized and denormalized data. The next set of chapters will take you through the useful features of Data Model and Power Pivot, helping you get to grips with the types of schemas (snowflake and star) and create relationships within multiple tables. You’ll also understand how to create powerful and flexible measures using DAX and Cube functions. By the end of this book, you’ll be able to apply the acquired knowledge in real-world scenarios and build an interactive dashboard that will help you make important decisions.What you will learn Implement the concept of data modeling within and beyond Excel Get, transform, model, aggregate, and visualize data with Power Query Understand best practices for data structuring in MS Excel Build powerful measures using DAX from the Data Model Generate flexible calculations using Cube functions Design engaging dashboards for your users Who this book is for This book is for Excel users looking for hands-on and effective methods to manage and analyze large volumes of data within Microsoft Excel using Power Pivot. Whether you’re new or already familiar with Excel’s data analytics tools, this book will give you further insights on how you can apply Power Pivot, Data Model, DAX measures, and Cube functions to save time on routine data management tasks. An understanding of Excel’s features like tables, PivotTable, and some basic aggregating functions will be helpful but not necessary to make the most of this book.
Author | : Vernon J. Richardson |
Publisher | : |
Total Pages | : 343 |
Release | : 2018-05-23 |
Genre | : Accounting |
ISBN | : 9781260288407 |
Author | : Swati V. Shinde |
Publisher | : CRC Press |
Total Pages | : 333 |
Release | : 2023-10-05 |
Genre | : Computers |
ISBN | : 1000952495 |
This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: Covers a variety of deep learning architectures useful for computer vision tasks Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem Addresses the different issues and further research opportunities in computer vision and soft computing Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain Considers recent real word problems and the prospective solutions to these problems This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.
Author | : Annie Nelson |
Publisher | : John Wiley & Sons |
Total Pages | : 226 |
Release | : 2023-11-23 |
Genre | : Business & Economics |
ISBN | : 1394202245 |
Start a brand-new career in data analytics with no-nonsense advice from a self-taught data analytics consultant In How to Become a Data Analyst: My Low-Cost, No Code Roadmap for Breaking into Tech, data analyst and analytics consultant Annie Nelson walks you through how she took the reins and made a dramatic career change to unlock new levels of career fulfilment and enjoyment. In the book, she talks about the adaptability, curiosity, and persistence you’ll need to break free from the 9-5 grind and how data analytics—with its wide variety of skills, roles, and options—is the perfect field for people looking to refresh their careers. Annie offers practical and approachable data portfolio-building advice to help you create one that’s manageable for an entry-level professional but will still catch the eye of employers and clients. You’ll also find: Deep dives into the learning journey required to step into a data analytics role Ways to avoid getting lost in the maze of online courses and certifications you can find online—while still obtaining the skills you need to be competitive Explorations of the highs and lows of Annie’s career-change journey and job search—including what was hard, what was easy, what worked well, and what didn’t Strategies for using ChatGPT to help you in your job search A must-read roadmap to a brand-new and exciting career in data analytics, How to Become a Data Analyst is the hands-on tutorial that shows you exactly how to succeed.