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Introduction to Data Analysis using Excel

You will figure out how to perform information analysis using Excel's most famous features in this course.

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Microsoft

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Beginner

Difficulty

16 Hours

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You will figure out how to perform information analysis using Excel's most famous features in this course.

Course Information

About this course:

The capacity to examine information is an incredible aptitude that encourages you to settle on better choices. Microsoft Excel is one of the top instruments for information investigation and the built-in pivot tables are apparently the most famous analytic apparatus.

You will figure out how to perform information analysis using Excel's most famous features in this course. You will figure out how to make pivot tables from a range with columns and rows in Excel. You will see the intensity of Excel turns in action and their capacity to abridge information in adaptable manners, enabling speedy investigation of information and producing important insights from the amassed information.

You ought to have an essential understanding of creating formulas and how cells are referenced by columns and rows within Excel to take this course. Whenever required, you can find many assistance points on Excel at the Microsoft Office Support Site. You are free to utilize any bolstered adaptation of Excel you have installed on your PC, nonetheless, the instructions are as per the Excel 2016. You will be unable to finish all activities as exhibited in the lessons however workarounds are given in the lab instructions or Discussion gathering. Please note that Excel for Mac doesn't bolster a significant number of the highlights showed in this course.

Course Objective:

  • Make flexible data aggregations with pivot tables
  • Characterize data visually utilizing pivot charts
  • Margins calculation and other common ratios using calculation on the pivot table
  • Filter data with the help of slicers in multiple pivot tables
  • Make aggregate reports with the techniques of formulas

Audience:

Excel Users

Prerequisite:

No prerequisite required for this course

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BrandMicrosoft
SubjectsIT Ops & Management
Lab AccessNo
TechnologyMicrosoft
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyBeginner
Course Duration16 Hours
LanguageEnglish
VPA DiscountVPA Discount

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Tom Robertson
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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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