This intermediate-level course is designed to help professionals with entry-level knowledge and understanding of Microsoft Excel learn the art of creating Pivot Tables in Microsoft Excel 2013.
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Course Duration
This intermediate-level course is designed to help professionals with entry-level knowledge and understanding of Microsoft Excel learn the art of creating Pivot Tables in Microsoft Excel 2013.
Microsoft Excel is an incredibly common and easy-to-use spreadsheet program designed and developed in the year 1985. The invention of Excel and Digital Spreadsheets entirely streamlined business processes allowing businesses to compile and gather financial records and business data seamlessly. Nowadays, Microsoft Excel is commonly used to create and develop Pivot Tables & Graphs.
This intermediate-level course is designed to help professionals with entry-level knowledge and understanding of Microsoft Excel learn the art of creating Pivot Tables in Microsoft Excel 2013. Focusing on data visualization, this course aims to help professionals learn the art of presenting data with ease using Spark Lines and other Excel visualization features. This online training program helps professionals explore dynamic worksheets and nurture their skills and knowledge of Microsoft Excel 2013.
The core objective of this course is to help professionals develop a better understanding and sound knowledge of the following key concepts:
There are no prerequisites for the Excel 2013: Pivot Tables Course. However, it is highly encouraged for professionals to keep in mind the following recommendations:
| Brand | Microsoft |
|---|---|
| Subjects | Business Productivity |
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 10 Hours |
| Language | English |
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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