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Gautam Tambay - Data Analysis - Excel | Online Excel Cours digital download
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Gautam Tambay – Data Analysis – Excel | Online Excel Cours

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Description

 

Gautam Tambay – Data Analysis – Excel | Online Excel Cours

 

 width=Salepage : Gautam Tambay – Data Analysis – Excel | Online Excel Cours

Arichive : Gautam Tambay – Data Analysis – Excel | Online Excel Cours

Description

Ready to master Excel?

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

In this course – 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 – 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 – 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 – it. Excel is one of the most popular tools in the field and it is the foundation of a career path – 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!

Get started now!

Curriculum Creator

 

Gautam Tambay

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
  •  
    Preview

    Introduction

Chapter 1: Getting Started!
  •  
    Start

    Fill out your Student Profile

  •  
    Start

    Install Microsoft Excel

Chapter 2: Introduction to Microsoft Excel: UI basics
  •  
    Start

    Introduction: UI Basics

  •  
    Start

    What is Excel?

  •  
    Start

    Workbooks and Worksheets

  •  
    Start

    Shortcuts

  •  
    Start

    Rows, Columns, and Cells

  •  
    Start

    Freeze Panes

  •  
    Start

    Number Formats

  •  
    Start

    Input Types

  •  
    Start

    Cell Formatting

  •  
    Start

    Paste Special

  •  
    Start

    Sorting

  •  
    Start

    Filtering

  •  
    Start

    Conditional Formatting

 

Chapter 3: Function basics
  •  
    Start

    Introduction: Function basics

  •  
    Start

    What is a formula?

  •  
    Start

    Basic mathematical functions

  •  
    Start

    Basic cell references

  •  
    Start

    Nested functions

  •  
    Start

    Absolute and relative cell references

  •  
    Start

    Using tables

Chapter 4: Mathematical functions
  •  
    Start

    Introduction: Mathematical functions

  •  
    Start

    Basic arithmetic

  •  
    Start

    SUM

  •  
    Start

    Cumulative SUM

  •  
    Start

    SUMPRODUCT

  •  
    Start

    AVERAGE

  •  
    Start

    MAX

  •  
    Start

    MIN

  •  
    Start

    COUNT

  •  
    Start

    COUNTA

  •  
    Start

    LARGE

  •  
    Start

    RANK

Chapter 5: String functions
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    Start

    Introduction: String functions

  •  
    Start

    What is a String?

  •  
    Start

    CONCATENATE

  •  
    Start

    LEFT

  •  
    Start

    RIGHT

  •  
    Start

    MID

  •  
    Start

    SEARCH

  •  
    Start

    LEN

  •  
    Start

    VALUE

Chapter 6: Dates and Times
  •  
    Start

    Introduction: Dates and Times

  •  
    Start

    Date and time overview

  •  
    Start

    DAY, MONTH, YEAR, WEEKDAY

  •  
    Start

    HOUR, MINUTE, SECOND

  •  
    Start

    EOMONTH

Chapter 7: Logical functions
  •  
    Start

    Introduction: Logical functions

  •  
    Start

    TRUE and FALSE

  •  
    Start

    Logical operators

  •  
    Start

    AND OR

  •  
    Start

    NOT

  •  
    Start

    IF

  •  
    Start

    SUMIF

  •  
    Start

    SUMIFS

  •  
    Start

    COUNTIF

  •  
    Start

    COUNTIFS

  •  
    Start

    AVERAGEIF

  •  
    Start

    AVERAGEIFS

Chapter 8: Lookups
  •  
    Start

    Introduction: Lookups

  •  
    Start

    VLOOKUP + Exercise

  •  
    Start

    HLOOKUP + Exercise

  •  
    Start

    Index match + Exercise

  •  
    Start

    Index MATCH MATCH + Exercise

  •  
    Start

    Index MATCH multiple criteria + Exercise

  •  
    Start

    Match types + Exercise

  •  
    Start

    Offset + Exercise

  •  
    Start

    Indirect + Exercise

Chapter 9: Pivot Tables
  •  
    Start

    Introduction: Pivot Tables

  •  
    Start

    What is a Pivot Table?

  •  
    Start

    Preparing the data + Exercise

  •  
    Start

    One-dimensional Pivots + Exercise

  •  
    Start

    Formatting a Pivot Table + Exercise

  •  
    Start

    Grouping Headings

Chapter 10: Charts
  •  
    Start

    Introduction: Charts

  •  
    Start

    Prepping chart data + Exercise

  •  
    Start

    Creating the chart + Exercise

  •  
    Start

    Formatting a chart + Exercise

  •  
    Start

    Data labels and data tables + Exercise

  •  
    Start

    Regressions + Exercise

Chapter 11: Building a model
  •  
    Start

    Introduction: Building a model

  •  
    Start

    What is a model?

  •  
    Start

    Assumptions

  •  
    Start

    Diagramming the flow + Exercise

  •  
    Start

    Wireframing + Exercise

  •  
    Start

    Preparing the data + Exercise

  •  
    Start

    Linking up formulas + Exercise

  •  
    Start

    Goalseek and solver + Exercise

  •  
    Start

    Sensitivity analysis + Exercise

Chapter 12: Case Study: Forecasting – a Model
  •  
    Start

    Introduction to Spreadsheet Modeling

  •  
    Start

    Sample Excel Model: Springboard Office Space

  •  
    Start

    How to build a great Excel model

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

    Preview: Chiboodle Case

“When I started Springboard, I was between full-time positions and doing mostly freelance work. My confidence in Excel and understanding of how to use data to drive business decisions helped me find a position that is a great blend of my background in customer success and my newfound skills in data analytics.”

– Lynell Wagenman on Springboard’s data analytics training

“Enrolling in Springboard was one of the best decisions of my career, and it was key in my transition to the analytics domain.”

– Santosh Kopanathi on Springboard’s data analytics training

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