This intermediate-level course is designed for professionals looking to nurture their skills of working with Microsoft Excel 2013.
Learning Style
Provider
Difficulty
Course Duration
This intermediate-level course is designed for professionals looking to nurture their skills of working with 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 for professionals looking to nurture their skills of working with Microsoft Excel 2013. Professionals will get to learn new features of Excel 2013 relating to Data Evaluation and Data Analysis. Professionals sharing proficiency in evaluating and analyzing data are always in high demand and can easily secure reputable positions in high profile firms and organizations.
This course covers the key concepts of Data Evaluation including Error Message Creation, Data Checking, Data Analysis, Evaluation Techniques, Evaluation Benefits, Applications of Data Evaluation, Data Validations, and many more. This intermediate-level training program is a part of a series of Microsoft Excel 2013 courses designed to help professionals achieve expert-level competency in working with Excel 2013.
The core objective of this course is to help professionals develop a better understanding and sound knowledge of the following key concepts:
This course is specifically tailored for the following group of professionals and interested candidates:
Professionals planning to enroll in the Excel 2013: Evaluating Data course must comply with the following prerequisites:
| 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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