Quantitative Methods In Excel For Mba And Professionals

[LeeAndro]

Last updated 1/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.02 GB | Duration: 2h 24m​

Quick introduction to key regression techniques using the Excel Analysis ToolPak from an experienced MBA instructor

What you'll learn
Identify links in business data using econometric techniques
Learn how to interpret regression output
Apply regression analyses in Excel using Analysis ToolPak
Build and test models for predictive analytics
Analyze continuous and discrete variables as well as series data
Focus on examples and interpretation with a necessary minimum of theory

Requirements
Basic Excel

Description
The course has been updated in 2023! There are many great Econometrics courses on Udemy which sell in thousands of copies. However, busy MBA students and professionals might not have to learn programming to run econometric models in Python, R, Stata or Eviews. MS Excel, on the other hand, is a familiar and accessible tool which can be used for advanced data analytics. In this concise course I have carefully selected the most important econometric tools and techniques that are really needed to understand the complicated relationships that exist in your data. Linear regression is the absolute must for data analysis and Analysis ToolPak is a simple yet powerful feature available in MS Excel. The key concepts used in this course have been distilled based on my experience with many groups of business students that I have taught in three MBA programs and many companies since 2014. This course is built around the notion of linear regression - a fantastic tool that you can use to (i) identify the strength of the relationships between variables that might exist in your data, (ii) test whether these relationships are robust in a statistical sense, and (iii) use the model for prediction. Linear regression is a classic and robust method that is easy to understand and interpret; it is widely used in the industry, and it works with virtually any data (after certain modifications).Improved English subtitles (not automatically generated)تحليل البيانات في Excel مع ترجمة باللغة العربيةDatenanalyse in Excel mit Untertiteln in deutscher Sprache带有简体中文字幕的Excel中的数据分析हिदी भाषा म उपशीरषक क साथ एकसल म डटा विशलषण한국어 자막으로 Excel 데이터 분석Uchambuzi wa data huko Excel na manukuu kwa lugha ya Kiswahili

Overview
Section 1: Regression with Analysis ToolPak in MS Excel

Lecture 1 Business applications of linear regression

Lecture 2 Modelling binary variable and series

Lecture 3 First regression with Analysis ToolPak in Excel

Lecture 4 Interpreting the results of the linear model

Section 2: Qualitative Variables: will a customer churn

Lecture 5 Descriptive statistics, correlation, histograms in Excel

Lecture 6 Qualitative variables in linear regression

Lecture 7 Estimating the probability of customer churn in Excel

Lecture 8 How to fix error messages when running regression in MS Excel

Section 3: Series: seasonal effects, trend and serial dependence

Lecture 9 Series - seasonal effects and trend

Lecture 10 Seasonal effects and trend in Excel

Lecture 11 Series - lagged variables, exponential smoothing and moving average

Lecture 12 Lagged variables, exponential smoothing and moving average in Excel

Lecture 13 Getting external data to Excel: 2023 update

pre-MBA students,MBA students,Business analysts working in Excel,Professionals working in data analytics

HomePage:

https://www.udemy.com/course/regression-in-excel-for-mba-and-professionals/

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https://1dl.net/r2n1q4bn01tz/OQmTB4vt__Quantitati.part1.rar
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