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Gautam Tambay - Data Analysis with Excel | Online Excel Cours

Gautam Tambay - Data Analysis with Excel | Online Excel CoursData Analysis with Excel | Online Excel Course Learn to think like a data analyst with this co...

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Gautam Tambay - Data Analysis with Excel | Online Excel Cours

Gautam Tambay - Data Analysis with Excel | Online Excel Cours

Data Analysis with Excel | Online Excel Course
Learn to think like a data analyst with this comprehensive, hands-on Excel tutorial.

Ready to master Excel?

Spreadsheets, especially Microsoft Excel, are an incredibly powerful and versatile tool. You can use them to settle accounts with your roommate, or to build a complex model to predict stock market returns.

In this course with 15-20 hours of hand-crafted content, you’ll play the role of a data analyst at a Fortune 500 company called SnackWorld (it’s fictional, but hey, you’ll be working with data about snacks!).

By working on lifelike problems, you’ll not only become a master of Microsoft Excel, but also learn to think like a data analyst, and build skills to excel in your role!

Master advanced Excel formulas and tools from VLOOKUP to Pivot Tables and more!

Create graphs and visualizations that can summarize critical business insights

Build predictive models that help you forecast years down the road

Learn from data experts from Bain & Company, Capital One and Wharton

To build this online Excel course, we partnered with data analytics experts from top organizations, including Bain & Company, Capital One and Wharton, to help you learn Excel and data analytics the way they are used in the industry. We are passionate about Data Analysis and want to help you become a spreadsheet superstar!

Go from beginner or intermediate Excel user to advanced!

This course is for beginner and intermediate Excel users who are interested in pursuing an analytical career. If you want to understand how to apply Excel functions to Excel data, then turn numbers into insights like a data analyst, then this course is for you!

Build your data analytics skillset

Data analysts turn numbers into insights. They process large data sets to arrive at data-driven recommendations for a company’s strategy or actions. They need to be able to explore data, process it, and be compelling communicators with it. Excel is one of the most popular tools in the field and it is the foundation of a career path with an average salary of about $60,000. This course will help you build that foundation!

Master one of the world’s most popular (and valuable) software applications!

More than 1.2 billion people use Microsoft Excel worldwide! As one of the most popular software applications today, Excel has tons of real-world applications, such as predictive modeling, tracking sales and data visualization. In fact, only 0.5% of all data in the world has ever been analyzed!

Curriculum Creator

 

Gautam Tambay

Gautam Tambay is the CEO and co-founder of Springboard. He has 10+ years of experience in highly analytical roles, and has led teams of strategy consultants and business analysts at Bain & Company, and Capital One and InMobi. Gautam loves about breaking down any business problem, and digging into the underlying data. He has trained and mentored hundreds of analysts, and he built this online Excel course to help you master Microsoft Excel and the basics of data analysis.

Course Curriculum

 

Introduction
Introduction
Chapter 1: Getting ed!

 

Fill out your Student Profile

 

Install Microsoft Excel

Chapter 2: Introduction to Microsoft Excel: UI basics

 

Introduction: UI Basics

What is Excel?
Workbooks and Worksheets
Shortcuts
Rows, Columns, and Cells
Freeze Panes
Number Formats
Input Types
Cell Formatting
Paste Special
Sorting
Filtering
Conditional Formatting

 

Chapter 3: Function basics

 

Introduction: Function basics

What is a formula?
Basic mathematical functions
Basic cell references
Nested functions
Absolute and relative cell references
Using tables
Chapter 4: Mathematical functions

 

Introduction: Mathematical functions

Basic arithmetic
SUM
Cumulative SUM
SUMPRODUCT
AVERAGE
MAX
MIN
COUNT
COUNTA
LARGE
RANK
Chapter 5: String functions

 

Introduction: String functions

What is a String?
CONCATENATE
LEFT
RIGHT
MID
SEARCH
LEN
VALUE
Chapter 6: Dates and Times

 

Introduction: Dates and Times

Date and time overview
DAY, MONTH, YEAR, WEEKDAY
HOUR, MINUTE, SECOND
EOMONTH
Chapter 7: Logical functions

 

Introduction: Logical functions

TRUE and FALSE
Logical operators
AND OR
NOT
IF
SUMIF
SUMIFS
COUNTIF
COUNTIFS

 

AVERAGEIF

 

AVERAGEIFS

Chapter 8: Lookups

 

Introduction: Lookups

VLOOKUP + Exercise
HLOOKUP + Exercise
Index match + Exercise
Index MATCH MATCH + Exercise
Index MATCH multiple criteria + Exercise
Match types + Exercise
Offset + Exercise

 

Indirect + Exercise

Chapter 9: Pivot Tables

 

Introduction: Pivot Tables

What is a Pivot Table?
Preparing the data + Exercise
One-dimensional Pivots + Exercise
Formatting a Pivot Table + Exercise

 

Grouping Headings

Chapter 10: Charts

 

Introduction: Charts

Prepping chart data + Exercise
Creating the chart + Exercise
Formatting a chart + Exercise
Data labels and data tables + Exercise
Regressions + Exercise
Chapter 11: Building a model

 

Introduction: Building a model

What is a model?
Assumptions
Diagramming the flow + Exercise
Wireframing + Exercise
Preparing the data + Exercise
Linking up formulas + Exercise
Goalseek and solver + Exercise
Sensitivity analysis + Exercise
Chapter 12: Case Study: Forecasting with a Model

 

Introduction to Spreadsheet Modeling

 

Sample Excel Model: Springboard Office Space

 

How to build a great Excel model

Chapter 13: Case Study: Forecasting Sales of Chiboodle Inc.

 

Preview: Chiboodle Case

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