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  • . You will learn how to use Excel efficiently
  • You will have great tools to solve with Excel most quantitative problems in your courses.
  • How to create formulas, use functions, produce and format charts, create reports and Pivot Tables; and use what-if-analysis for managerial decision making.

The purpose of this workshop is to prepare you to use Excel as a tool for solving management decision making problems. We will focus on tools and Excel features that will specifically prepare you for your professional life or school. You will learn how to use Excel efficiently, how to create formulas, use functions, produce and format charts, create reports and Pivot Tables; and use what-if-analysis for managerial decision making.


The Excel workshop is based on my books:
 
“Next Generation Excel: Modeling In Excel For Analysts And MBAs (For MS Windows And Mac OS)”, Isaac Gottlieb, Wiley, March 2013.
 
Excel 2022 Pro 100 + PivotTables, Charts & Reports: Explore Excel 2022 with Graphs, Animations, Sparklines, Goal Seek, Histograms, Correlations, Dashboards. Isaac Gottlieb, PBP Publishing, Nov 2022.

 
 
The course will start with instructing how to use Excel efficiently. It will continue with many other topics – a few of which are other topics such as
 
  • What-if and Sensitivity Analysis: Financial Modeling and how to apply to them Sensitivity Analysis Techniques
  • Data Mining applying Pivot Tables and Regressions to extensive/sizeable data
  • The different VLOOKUP functions
  • Simple and advanced charting techniques
  • Going the 3rd dimension. Working with a number of sheets simultaneously.
  • The statistics for non-statisticians

  • BASIC Excel features we expect you to know before you join the Excel Proficiency Workshop:
  • Learning Desire
  • You may be familiar with Excel but this course focuses on tools and Excel features that will specifically prepare you for your business courses, job interviews and for your professional life.
  • Any person using Excel that needs and wants to improve their day to days skills and deals with any application is the fields of Administration, Marketing, Finance, Research, Economics, Accounting and operations. It is good for private, public and non-profit organizations.
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  • Section 1 : Introduction 9 Lectures

    • Lecture 1 :
    • Lecture 2 :
    • 1.1 Auto Fill
    • Lecture 3 :
    • 1.2 Selection
    • Lecture 4 :
    • 1.3 Formulas Funtions and Addressing
    • Lecture 5 :
    • 1.4 Naming Cells and Ranges
    • Lecture 6 :
    • 1.5 Simple and Quick Charts
    • Lecture 7 :
    • 1.6 Advanced Charting Techniques
    • Lecture 8 :
    • 1.7 Sparklines
    • Lecture 9 :
    • Part 1 Quizzes
    • Part 1 Quizzes
  • Section 2 : IF, Text & Flash-fill 4 Lectures

    • Lecture 1 :
    • 2.0 Introdcution
    • Lecture 2 :
    • 2.1 The IF Function
    • Lecture 3 :
    • 2.2 Text Manipulation
    • Lecture 4 :
    • 2.3 Flash Fill
  • Section 3 : Statistics for Non-Statisticians 7 Lectures

    • Lecture 1 :
    • 3.0 Introduction
    • Lecture 2 :
    • 3.1 Descriptive Statistics
    • Lecture 3 :
    • 3.2 Frequency Distribution
    • Lecture 4 :
    • 3.3 Data Analysis
    • Lecture 5 :
    • 3.4 Regression
    • Lecture 6 :
    • 3.5 Fit a formula to a curve
    • Lecture 7 :
    • Part 3 Quizzes
    • Part 3 Quizzes
  • Section 4 : What IF & Sensitivity Analysis 6 Lectures

    • Lecture 1 :
    • 4.0 Introduction
    • Lecture 2 :
    • 4.1 Goal Seek
    • Lecture 3 :
    • 4.2 Data Tables Sensitivity Analysis
    • Lecture 4 :
    • 4.3 Using Scroll Bars for Sensitivity Analysis
    • Lecture 5 :
    • 4.4 What-If Review Example
    • Lecture 6 :
    • Part 4 Quizzes
    • Part 4 Quizzes
  • Section 5 : 3D and Lookup 7 Lectures

    • Lecture 1 :
    • 5.0 Introdcution
    • Lecture 2 :
    • 5.1 Basic Range VLOOKUP
    • Lecture 3 :
    • 5.2 An Exact Match VLOOKUP
    • Lecture 4 :
    • 5.3 VLOOKUP Review
    • Lecture 5 :
    • 5.4 Going the 3rd Dimension 1
    • Lecture 6 :
    • 5.4 Going the 3rd Dimension 2
    • Lecture 7 :
    • 5.4 Going the 3rd Dimension 3
  • Section 6 : Data Mining and Pivot Tables 8 Lectures

    • Lecture 1 :
    • 6.0 Introdcution
    • Lecture 2 :
    • 6.1 Sorting Data
    • Lecture 3 :
    • 6.2 Auto Filter
    • Lecture 4 :
    • 6.3 Subtotal and Group and Outline
    • Lecture 5 :
    • 6.4 Introducing Pivot Tables
    • Lecture 6 :
    • 6.5 Pivot Examples
    • Lecture 7 :
    • 6.6 Advanced Pivot Table Example
    • Lecture 8 :
    • 6.7 Pivot Table Case Study
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For more than 20 years Dr. Isaac Gottlieb has been teaching Excel workshops for MBA students in several universities, including: Columbia, NYU, Rutgers and others in the US and throughout the world. In addition, he taught courses of Management Science and Statistics for Managers (always) using Excel. Over the years, 100,000 students have attended his Excel workshops and courses. He received the Microsoft Most Valuable Professional (MVP) – award for the years 2014-6. “A Microsoft Most Valuable Professional (MVP) is an award for individuals who have exhibited exceptional technical expertise and a talent for sharing knowledge within their technical community.” (From Microsoft’s site) Dr. Gottlieb’s Academic and business knowledge led to the development of a unique methodology of how to use Excel — and how to apply it effectively to various business disciplines. He shared his development with thousands corporate professionals from leading multinational companies as well as small private business corporations. Among them are Johnson & Johnson, Merck, Pfizer, Procter & Gamble, Caterpillar, Vornado, El-Al Airlines, Microsoft, Intel, Boeing, NCR, Chrysler, Sealed Air, JPMorgan, Morgan Stanley, 3M, H-P, and the New York City Economic Development Corporation. He has an Excel-Tip-Of-The-Month newsletter distributed to over 35,000 recipients. (To subscribe email isaacgottlieb@gmail.com) Dr. Gottlieb has earned his PhD and two Masters Degrees from Columbia University Department of Industrial Engineering and Operations Research. He has more than 40years of practical business and industry experience as a CEO of manufacturing companies and as a senior consultant.
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