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Data Analytics in Excel

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Data Analytics in Excel

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Data Analytics in Excel

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Contents

  • 1. Course Introduction
    • Free Introduction to the Course
      05m 00s
    • Free Navigating Excel
      09m 52s
    • Free Data Types in Excel
      05m 56s
  • 2. Using Excel Spreadsheets for Data Analysis
    • Free Viewing and Entering Data
      08m 55s
    • Free Formatting and Data Types in Excel
      08m 44s
    • Excel Formula Basics
      09m 44s
    • Exploring Excel Functions
      09m 38s
    • Referencing Data in Formulas
      08m 51s
    • Exercise 1
      03m 57s
  • 3. Cleaning and Managing Data
    • Introduction to Data Quality
      09m 59s
    • Importing File Data
      05m 36s
    • Removing Duplicate Data
      07m 49s
    • Identifying Data Attributes
      08m 25s
    • Cleaning Data
      07m 34s
    • Exercise 2
      02m 21s
  • 4. Analyzing Data
    • Sort and Filter Data
      06m 59s
    • Concatenation and SUMIF
      06m 53s
    • Tackling Complicated "OR" Criteria
      06m 52s
    • Summarizing Data Using Pivot Tables
      07m 29s
    • Creating a Pivot Chart
      06m 34s
    • Working with Excel Charts
      05m 14s
    • Analysing Financial Data
      09m 18s
    • Waterfall Charts
      07m 25s
    • Conditional Formatting
      07m 07s
    • Using Database Functions
      07m 13s
    • Evading Formula Errors
      08m 05s
    • Exercise 3
      02m 01s
  • 5. What-If Analysis and Analysis ToolPak
    • Scenario Manager in What-If Analysis
      09m 54s
    • Data Tables in What-If Analysis
      08m 41s
    • Goal Seek in What-If Analysis
      07m 03s
    • Loading the Analysis ToolPak
      03m 10s
    • Correlation and Covariance in Analysis ToolPak
      07m 31s
    • Descriptive Statistics, Moving Average and Exponential Smoothing
      08m 01s
    • Additional Analytical and Statistical Applications
      08m 43s
    • Exercise 4
      03m 54s
    • Closing
      04m 55s
  • Description
  • Course Resources
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Data Analytics in Excel

  • DURATION: 4.15 hours
  • VIDEOS: 36
  • LEVEL: Beginner

One of the most rapidly developing areas in today’s market is data analytics—it is also an area in which businesses are struggling to find qualified staff. In this Data Analytics in Excel course, we will explore the key features of Microsoft Excel that make it such an essential tool for data analysis.

Using the data analysis and visualization features that are native to Excel, this course will show you how to extract maximum value most efficiently from the information your organization collects. This course starts off with the fundamentals, walking you through all you need to understand about spreadsheets, from layout to applications. We will cover a variety of topics, including exploring formulas, cleaning data, and identifying data attributes.

This course demonstrates how to analyze data using Excel and tackle complicated criteria. We will use Excel charts to depict data, relationships, and potential outcomes. In addition, we will also be discussing how to use the what-if functionality of the Analysis ToolPak add-in that comes with Excel. Each section includes practical examples that show how to apply these techniques to real-world business problems.

After finishing this course, students will be able to:

  • Describe the fundamentals of Excel spreadsheets, from their layout to the applications
  • View, enter, and format data types in Excel
  • Understand and apply Excel formulas and functions
  • Import file data and remove duplicates
  • Identify data attributes
  • Sort data and apply filters, including advanced filtering techniques
  • Apply Concatenation and Sum-if formulas to analyze data sets
  • Create problem statements to tackle complicated “or” criteria
  • Create Pivot tables and charts
  • Work with Excel charts, including clustered columns, line graphs, and waterfalls
  • Utilize database functions created specifically to work with large datasets
  • Apply techniques to recognize and avoid formula errors
  • Understand and use the What-If Analysis toolkit which includes the Scenario Manager, Goal Seek, and Data Table functions
  • Use the Analysis ToolPak to calculate basic statistical concepts such as correlation and covariance
  • Compute descriptive statistics and moving averages and apply exponential smoothing techniques
  • Utilize rank and percentile options and generate histograms.

Data Analytics in Excel

The course comes with course and exercise files compressed into .zip format. You will need to download the .zip file to your PC or Mac (the files are not compatible with a mobile device) and unzip it. Once unzipped, all of the exercise files will reside in one folder.

Click on the below link to download the zip file.

  • Data Analytics in Excel Course and Exercise Files

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"I took your Microsoft Excel 2016 Beginners course and enjoyed the way the course progressed from a strong foundation. I also enjoyed the quizzes, and the exercises were fun. I would recommend this to people looking for a good excel course because your course covers all the topics not only effectively but also with practical exercises, which is very helpful. This course has already helped me in my existing job in managing my data more efficiently."

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"I just completed your course: Microsoft Excel 2016 for Beginners. I enjoyed it very much. You speak very directly and have a confident and engaging tone. You made sure to pay extra attention to the sticky points that might be problematic in the future if not fully understood. I would highly recommend both this course and your style of teaching to anyone interested in learning Excel. I have been very scared about trying to make anything new in Excel, but now, I am looking forward to it. I'm older and feel that this course has closed a lot of the gap and gives me confidence that I can do it too. I appreciate both your teaching style and methods for teaching Excel. Well Done!"

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