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What you'll learn?
- Learn different techniques for data analysis that can be easily implemented in Excel 2010, 2013, 2016, and 2019
- Transform Data into insight using powerful methods of analysis, techniques and tools
- Bring your skills of Excel from Basic or Intermediate levels to Expert level
- Work with real-world data sets and solve real-world tasks
- Learn 50 frequently used functions in Excel (Logical, Text, Date, Math, Statistical, Financial)
- Execute aggregation commands (SUM, SUBTOTAL, etc.) and their conditional variants (SUMIFS, COUNTIFS, etc.) to summarize data sets
- Combine data from multiply worksheets by VLOOKUP, INDEX and MATCH functions
- Perform What-if analysis by Goal Seek, Data Table and Scenario Manager tools
- Learn best practices for data analysis and data presentation using PivotTable and PivotChart tools
- Perform statistical analysis by using Data Analysis ToolPak including Linear Regression
- Learn best practices for the design and setup of interactive dashboards
- Work in Excel faster by using hot key shortcuts
Course Overview
5 hours of professional course for everyone who wants to learn essentials of data analysis and visualization in Excel and become an Advanced Excel User. Join to over 5,500 students and unlock the power of Excel to utilize its analytical tools — no matter your experience level. Master advanced Excel formulas and tools from Vlookup to Pivot Tables and create graphs and visualizations that can summarize critical business insights. Gain a competitive advantage in the job market.
WHY WOULD YOU CHOOSE TO LEARN EXCEL?
Excel is one of the most widely used solutions for analyzing and visualizing data. Excel in itself can do so much for your career. It's just one program but it's the one hiring managers are interested in. Advanced Microsoft Excel skills can get you a promotion and make you a rock star at your company.
WHY TAKE THIS SPECIFIC EXCEL COURSE?
This course is concentrated on the most important tools for performing data analysis on the job. In this course you'll play the role of data analyst at a delivery company and you'll be working with real-life data sets. You don't need to spend weeks and months to learn Excel. As you go through the course, you'll be able to apply what you learnt immediately to your job.
Author of this course has over 10 years of working experience in large financial organizations and over 5 years of experience of online and in-person trainings. He has dozens of courses on Excel, SQL, Power BI, Access, and more than 20,000 students in total.
WHAT ARE SOME EXCEL TOOLS AND FUNCTIONS YOU WILL LEARN IN THIS COURSE?
- How to clean and prepare data by Sort, Filter, Find, Replace, Remove Duplicates, and Text to Columns tools.
- How to use drop-down lists in Excel and add Data Validation to the cells.
- How to best navigate large data and large spreadsheets.
- How to protect your Excel files and worksheets properly.
- The most useful Excel functions like SUBTOTAL, SUMIF, COUNTIF, IF, OR, PMT, RATE, MEDIAN and many more.
- How to write advanced Excel formulas by VLOOKUP, INDEX, MATCH functions.
- How to convert raw Excel data into information you can use to create reports on.
- Excel Pivot Tables so you can quickly get insights from your data.
- Excel charts that go beyond Column and Bar charts. You'll learn how to create Combo charts, Histogram, Scatter Plot, Speedometer charts and more.
- How to create interactive dashboards in Excel by using Slicer and Pivot Charts.
- How to activate and use Data Analysis ToolPak for advanced statistical analysis.
- Work in Excel faster by using hot key shortcuts.
- Make homework and solve quizzes along the way to test your new Excel skills.
Pre-requisites
- Basic knowledge of Excel is a plus, but not required
- Microsoft Excel 2010, 2013, 2016, 2019
- Passion for Excel and online learning
Target Audience
- Anyone looking for a hands-on course on MS Excel
- Excel users looking to discover new tools to help them do more in less time
- Business professionals looking to become more confident in Excel
- Data analysts hoping to develop advanced data modeling, dashboard design, and business intelligence skills
- Students who want a comprehensive, engaging, and highly interactive approach to training
- Anyone looking to pursue a career in data analysis, business intelligence, financial modeling, marketing researches, reporting
Curriculum 61 Lectures 04:52:05
-
Section 1 : Course Overview
- Lecture 2 :
- MS Excel for Data Analysis
- Lecture 3 :
- Download the Working Data
- Lecture 4 :
- Introduction to the Project
-
Section 2 : Data Cleaning and Preparing Tools
- Lecture 1 :
- Sort and Filter
- Lecture 2 :
- Text to Columns
- Lecture 3 :
- Remove Duplicates
- Lecture 4 :
- Data Validation
- Lecture 5 :
- Find and Replace
- Lecture 6 :
- Data Entry Form
-
Section 3 : 50 Most Frequently Used Functions
- Lecture 1 :
- Logical Functions: IF, AND, OR
- Lecture 2 :
- Math Functions: SUM, COUNT, SUBTOTAL
- Lecture 3 :
- Text Fuctions: RIGHT, LEFT, LEN, CONCATENATE, UPPER, LOWER, PROPER
- Lecture 4 :
- Date Functions: YEAR, MONTH, DAY, EOMONTH, DATE
- Lecture 5 :
- Conditional Functions: SUMIF, COUNTIF, SUMIFS, COUNTIFS
- Lecture 6 :
- Statistical Functions: MAX, MIN, MEAN, MEDIAN, MODE, VAR, STDDEV, CORREL
- Lecture 7 :
- Financial Functions: PMT, PV, FV, RATE, NPER, NPV, IRR
- Lecture 8 :
- Statistical Functions: AVERAGE, AVERAGEIF, AVERAGEIFS
-
Section 4 : Pivot Table for Data Analysis
- Lecture 1 :
- Introduction to Pivot Table
- Lecture 2 :
- Calculated Fields in Pivot Table
- Lecture 3 :
- GetPivotData
- Lecture 4 :
- Grouping Data with Pivot Table
-
Section 5 : Scenario and Sensitivity Analysis
- Lecture 1 :
- What-If Analysis: Goal Seek
- Lecture 2 :
- What-If Analysis: Data Table
- Lecture 3 :
- What-If Analysis: Scenario Manager
- Lecture 4 :
- Auditing Formulas
-
Section 6 : Lookup Functions and Merging Techniques
- Lecture 1 :
- VLOOKUP With Exact Match
- Lecture 2 :
- INDEX and MATCH vs VLOOKUP
- Lecture 3 :
- VLOOKUP With Approximate Match
-
Section 7 : Formatted and Interactive Tables
- Lecture 1 :
- Format as Table
- Lecture 2 :
- Data Model Tool
- Lecture 3 :
- Slicer in Pivot Table
-
Section 8 : Charts and Graphs
- Lecture 1 :
- Conditional Formatting
- Lecture 2 :
- Sparklines as Mini Charts
- Lecture 3 :
- Column Chart and Bar Chart
- Lecture 4 :
- Line Chart
- Lecture 5 :
- Pie Chart
- Lecture 6 :
- Area Chart
- Lecture 7 :
- Combo Charts
- Lecture 8 :
- Speedometer (Gauge) Chart
-
Section 9 : Visualization Techniques
- Lecture 1 :
- PivotChart
- Lecture 2 :
- Creation of Interactive Dashboard
- Lecture 3 :
- Presentation of Final Results
- Lecture 4 :
- Download the Completed File
-
Section 10 : Data Analysis ToolPak for Statistics
- Lecture 1 :
- Scatter Plots
- Lecture 2 :
- Activation of Data Analysis ToolPak Add-in
- Lecture 3 :
- Descriptive Statistics
- Lecture 4 :
- Histogram
- Lecture 5 :
- Correlation
- Lecture 6 :
- Linear Regression
- Lecture 7 :
- Explanation of Regression Output
- Lecture 8 :
- Muliple Linear Regression
- Lecture 9 :
- Download the Results of Statistical Analysis
- Lecture 10 :
- Download the Working Data for Statistics
-
Section 11 : Bonus Tips and Tricks
- Lecture 1 :
- Protect Worksheet and Workbook
- Lecture 2 :
- Hot Shortcuts for Working in Excel
- Lecture 3 :
- Insert Hyperlinks
-
Section 12 : Case Study: A/B Testing with Excel
- Lecture 1 :
- Example of A/B Testing for Company Website
-
Section 13 : Test Yourself
- Lecture 1 :
- Final Quiz
-
Section 14 : Wrapping Up
- Lecture 1 :
- Conclusion
- Lecture 2 :
- Next Steps
Our learners work at
Frequently Asked Questions
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Instructor
322223 Course Views
3 Courses
My name is Vardges. I have 10+ years of working experience in financial industry as a Risk Manager, Data Analyst, Financial Modeler, Reporting Specialist. During my whole career I have been using Excel and other Business Intelligence tools and now these are not only the tools for solving my daily tasks but also hobby for me. If you want to become an advanced analyst follow my courses. I have Master's Degree in Mathematics and many certificates from world-class universities and organizations such as Microsoft, IBM, Duke University, Corporate Finance Institute, International Financial Corporation, and I will share my experience and knowledge with you during my courses.
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