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Excel - Time Series Forecasting - Part 1 of 3
 
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Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
Views: 728368 Jalayer Academy
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
 
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Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn: 1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is that trend continues into future. 2) (00:53) Forecast a Trend using Simple Liner Regression. We use the Data Analysis Regression Feature. 3) (03:22) Learn how to use FORECAST function. 4) (08:57) Forecast a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter using Multiple Linear Regression. We use the Data Analysis Regression Feature. 5) (12:12) VLOOKUP & MATCH functions with Mixed Cell References to populate new categorical variable columns with the Boolean ones and zeroes. 6) (19:53) Forecast a Trend with a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter and one quantitative variable using Multiple Linear Regression. We use the Data Analysis Regression Feature. 7) Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
Views: 57311 ExcelIsFun
Operations Management: Forecasting for Data with Trend and Seasonality in Excel
 
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In this video I explain how to create a forecasting model in Excel for a data set that involves both trend and seasonality. I chose not to de-seasonalize data set before finding the trend parameters. Dataset URL: Copy and Paste it into Excel or work in Google Sheets https://docs.google.com/spreadsheets/d/1BCEwiX4si5Zzkgcc51rkwaAIAOhMpr1V1U7qRaV7C0g/edit?usp=sharing
Views: 39952 Mustafa Canbolat
Forecasting in Excel Using Simple Linear Regression
 
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Get you Master of Science in Supply Chain Management online in as little as one year. Please visit: business.rutgers.edu/scmonline.
Views: 168877 scmprofrutgers
Forecast Function in MS Excel
 
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The forecast function in MS Excel can be used to forecast sales, consumer trends and even weight loss! For more details: http://www.familycomputerclub.com/excel/forecast-function-in-excel.html Get the book Excel 2016 Power Programming with VBA: http://amzn.to/2kDP35V If you are from India you can get this book here: http://amzn.to/2jzJGqU
Views: 468094 Dinesh Kumar Takyar
Exponential Smoothing Forecast Excel 2016 Data Analysis Toolpak
 
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Making a time-series forecast using exponential smoothing - Excel 2016
Excel Forecasting Seasonal Data
 
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How to use the Excel Data Analysis Tool Pack to forecast seasonal data. This is a video from our course; Excel for Decision Making Under Uncertainty. Click here to find out more: www.myonlinetraininghub.com/excel-for-decision-making-course
Views: 17688 MyOnlineTrainingHub
Prediction in Simple Regression
 
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Using some made up ice cream sales vs. temperature data, I demonstrate how to calculate and interpret a point prediction and 90% prediction interval using MS Excel 2007
Views: 70280 ProfTDub
Excel forecasting - learn how to use FORECAST, CORREL, and upper and lower bounds
 
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In this video I show you exactly how to do forecasting of pretty much any data set in Excel. The data analysis techniques I show you make it simple, easy and actually exciting as you get to see, in the end, how forecasting is really done it many companies and the actual output and forecast for 15 days going forward from this data set. The data set that I use in this video is from the University of California at Irvine Data Science Department. It is the bike share or bike rental data set which contains two years of bike rental data. I show you how to get a continuous forecast line that professionally joins up to the data set (cnt) line. In this video I go through several formulas to include FORECAST, CORREL, creating upper and lower bounds and more. After watching this video you will see and know how to do forecasting on pretty much any data set. You just need to go and look at the data and see what parameters or fields you have available, look for correlations between the data, and then once you found some patterns (like I did between the weather temperature and daily rentals you can then quickly create a forecast, then create a pivot table and some pivot charts and deliver someexciting graphs to your end users and executives. What is exciting here is you can take these same ideas and go and actually track lottery winnings, hurricane probabilities, earthquake strength or locations, volcano activity, crime patterns and more. The possibilities are limitless. Yes, with data science, there are different ways of calculating forecasts and predictions. This is just one of the many, but it's interesting and easy-to-use and you can be doing forecasting in literally minutes and then presenting these forward-looking forecasts to your executives the same day! I hope you found this video both informational and interesting. Please take a moment to subscribe and like this video. Thanks again and God bless!
Views: 282 Tech Know How
Regression output using Data Analysis in Excel
 
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How to install Data Analysis Addin in Excel: https://youtu.be/SqpSwxJ9t2k This video shows how to generate simple linear regression statistics using the Data Analysis Addin in Excel –intercept, slope, regression equation, SSR, SSE, SST, correlation coefficient (r), coefficient of determination (R-square), and standard error of estimate.
Views: 7100 Joshua Emmanuel
Forecasting Trend and Seasonality
 
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Using dummy variables and multiple linear regression to forecast trend and seasonality
Views: 92788 profMattDean
Cyclical data forecasting using Coca Cola sales
 
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Using Multi Regressions in Excel to forecast cyclical/seasonal data for recent Coca Cola sales. To Download the Excel file data before and after the regression go to http://goo.gl/oOPMQX . The files are below the heading “Watch a Sample Video from the Course”. You can find an entire two hours Decision Under Uncertainty seminar.
Views: 3304 Isaac Gottlieb
How to Use Statistical Functions for Forecasting in Microsoft Excel 2016 - Part 1
 
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Get the complete 9-hour Excel 2016 Advanced course here ► http://www.simonsezit.com/courses/microsoft/learn-microsoft-excel-2016-advanced-training-tutorials/ During this Microsoft Excel 2016 advanced training tutorial video, we will cover the statistical functions for forecasting. We will show examples using the functions SLOPE and INTERCEPT, FORECAST.LINEAR, and TREND. We will also explain what are independent and dependent variable. Checkout some of our other training on YouTube: Excel 2016 advanced training: https://www.youtube.com/playlist?list=PLzj7TwUeMQ3h5ZVxzp_a4UHRQBtXXgnxf Excel 2016 beginner training: https://www.youtube.com/playlist?list=PLzj7TwUeMQ3hFUdlWMkTLZL-Fr3oRGN35 VBA for Excel tutorials: https://www.youtube.com/playlist?list=PLzj7TwUeMQ3hWRi0mgxdyWkT0QaYKuBGZ Project 2016 beginner training: https://www.youtube.com/playlist?list=PLzj7TwUeMQ3g_ABHdUU7RoGJJm-YFr4_Y Visio 2013 for beginners: https://www.youtube.com/playlist?list=PLzj7TwUeMQ3jpAwkTGD6hGNxF8ML_FfsF SharePoint 2013 training: https://www.youtube.com/playlist?list=PLzj7TwUeMQ3jloGuvewOe0Iv1EE2POKge Stay in touch: SimonSezIT.com: http://www.simonsezit.com/ StreamSkill.com: http://streamskill.com/ YouTube Channel: http://bit.ly/foiItB Facebook: http://on.fb.me/14m8Rwl Twitter: http://bit.ly/177EU5J Google+: http://bit.ly/11JbHdb If you enjoyed the video, please give a "thumbs up" and subscribe to the channel ;-) Welcome back to our course on Excel 2016 Advanced. In this section we’re going to look at functions for forecasting. Now very often when we’re talking about forecasting we’re going to be talking about looking at what is going to happen based on what has happened so far. But also the functions that we’re going to be looking at can work in a more general sense as well. And I’m going to look at that more general sense in this first section because I want to look at a few of the most commonly used function without implying that these functions are only used in relation to things that change with time. Having said that, quite a few of the examples that we’re going to look at will involve variables that change over time. So let’s start off in a fairly general sense. I’ve got here in columns B and C some values of two variables, X and Y. And if it helps you to think of the contents of column B as the months of the year and the contents of column C as say sales in a store of a particular object then that’s probably quite a good way of thinking of those two columns of figures. And just to give you a good idea of what I mean by forecasting the question is this. Given those values in X and Y what value of Y would I get if X were 13? Now you might look at the figures in column C and say, “Well I don’t really know.” The values of Y tend to be going up but they don’t go up in a sort of straight and even fashion. And what we need to do is to find a function which will predict, forecast, a value of Y when X is 13. Now there are many possibilities here and what I want to do first of all is explain what I mean by independent and dependent variables. And in this instance X is an independent variable and Y is a dependent variable. What we mean by that is that X is something that we can control or we can measure directly or we can predict absolutely. So I didn’t have any trouble putting 13 in B15 because X, the independent variable, the one that doesn’t depend on something else is clearly progressing in an even fashion. 1, 2, 3, 4, etcetera. Whereas Y is not proceeding in an even and predictable fashion. Now there may be some dependence of Y on X and certainly it appears to be the case that as X get bigger Y gets bigger but it doesn’t necessarily mean that the increase in values of X is causing the increase in values of Y. Sorry, we couldn't fit the entire video transcription here since YouTube only allows 5000 characters.
Views: 5730 Simon Sez IT
How to Make Predictions from a Multiple Regression Analysis
 
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From an existing multiple regression output produced with Excel 2007, I show you how to make point predictions and approximate 95% prediction intervals. The basic package of Excel does not have a routine for making predictions intervals, so I suggest a method of inflating the residual standard deviation statistic by 10% to get an approximate standard error of prediction.
Views: 119844 ProfTDub
Excel 2016 - The New Forecast Sheet
 
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Download the featured file here http://www.bluepecantraining.com/portfolio/excel-2016-forecast-sheet-new-feature/ This video shows you how to use the new Forecast Sheet in Excel 2016. The forecast sheet is good at forecasting based on historical time-based data.
Views: 16605 Chester Tugwell
Calculate Cyclical Movement using Regression in MS Excel 2007
 
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This video shows how to calculate cyclical movement using regression in MS Excel 2007. It also shows how to combine trend, seasonal, and cyclical data to create a forecast in a time series decomposition. If you need the data set for this video, you can download it from my website at: http://statstutor.books.officelive.com/CIDM2342.aspx
Views: 12333 pspollard1
TREND and GROWTH functions | Excel Tips | lynda.com
 
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Learn how to add trendlines to charts, explore the trendline options, and use the TREND and GROWTH functions to predict future results in Microsoft Excel. Watch more Excel tutorials at http://www.lynda.com/Excel-tutorials/Excel-Tips/363001-2.html?utm_campaign=rPWpkkhDTX0&utm_medium=social&utm_source=youtube-earned This tutorial is from the Excel Tips Weekly series presented by lynda.com author Dennis Taylor. The complete course is a weekly series that offers a new Excel tip every Tuesday on topics such as productivity-boosting tips, cool features and functions, and even advanced subjects such as using Pivot Tables for data analysis. Connect with lynda.com: Facebook: http://bit.ly/fbldc Twitter: http://bit.ly/ldctw Google Plus: http://bit.ly/gplusldc LinkedIn: http://bit.ly/linkldc
Views: 64027 LinkedIn Learning
Predicting a Stock Price Using Regression
 
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Using 6 months and 1 month of Historical Data to predict GM Closing Price in October 2015 by linear regression in Excel.
Views: 48573 Mark Gavoor
Excel at Data Mining - Time Series Forecasting
 
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In this video, Billy Decker of StatSlice Systems shows you how to start data mining in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a forecasting model that will predict the trend of bikes sales in different regions. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 4508 StatSlice Systems
How to Build a Forecasting Model in Excel - Tutorial | Corporate Finance Institute
 
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How to Build a Forecasting Model in Excel - Tutorial | Corporate Finance Institute Enroll in the Full course to earn your certificate and advance your career: http://courses.corporatefinanceinstitute.com/courses/fpa-rolling-12-month-cash-flow-forecast-course Master the art of building a rolling 12-month cash flow forecast model in our Financial Planning & Analysis (FP&A) course. In this course you will learn to build a cash flow model from scratch complete with assumptions, financials, supporting schedules and charts. -- FREE COURSES & CERTIFICATES -- Enroll in our FREE online courses and earn industry-recognized certificates to advance your career: ► Introduction to Corporate Finance: https://courses.corporatefinanceinstitute.com/courses/introduction-to-corporate-finance ► Excel Crash Course: https://courses.corporatefinanceinstitute.com/courses/free-excel-crash-course-for-finance ► Accounting Fundamentals: https://courses.corporatefinanceinstitute.com/courses/learn-accounting-fundamentals-corporate-finance ► Reading Financial Statements: https://courses.corporatefinanceinstitute.com/courses/learn-to-read-financial-statements-free-course ► Fixed Income Fundamentals: https://courses.corporatefinanceinstitute.com/courses/introduction-to-fixed-income -- ABOUT CORPORATE FINANCE INSTITUTE -- CFI is a leading global provider of online financial modeling and valuation courses for financial analysts. Our programs and certifications have been delivered to thousands of individuals at the top universities, investment banks, accounting firms and operating companies in the world. By taking our courses you can expect to learn industry-leading best practices from professional Wall Street trainers. Our courses are extremely practical with step-by-step instructions to help you become a first class financial analyst. Explore CFI courses: https://courses.corporatefinanceinstitute.com/collections -- JOIN US ON SOCIAL MEDIA -- LinkedIn: https://www.linkedin.com/company/corporate-finance-institute-cfi- Facebook: https://www.facebook.com/corporatefinanceinstitute.cfi Instagram: https://www.instagram.com/corporatefinanceinstitute Google+: https://plus.google.com/+Corporatefinanceinstitute-CFI YouTube: https://www.youtube.com/c/Corporatefinanceinstitute-CFI
Multiple Linear Regression using Excel Data Analysis Toolpak
 
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LearnAnalytics demonstrates use of Multiple Linear Regression on Excel 2010. (Data Analysis Toolpak). Data set referenced in video can be downloaded at www.learnanalytics.in/blog/wp-content/uploads/2014/02/car_sales.xlsx
Views: 56780 Learn Analytics
Multiple Regression Forecasting Part 1
 
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Recorded with http://screencast-o-matic.com
Views: 1178 Jake Lennon
Use the TREND Function to Predict Sales Growth
 
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Check out my Blog: http://exceltraining101.blogspot.com This video show you how to use the TREND function to predict future monthly sales (from one to multiple months) based on historical values. Feel free to provide a comment or share it with a friend! --------------------------------------- #exceltips #exceltipsandtricks #exceltutorial #doughexcel #exceltips #exceltipsandtricks #exceltutorial #doughexcel
Views: 67579 Doug H
Moving Average Time Series Forecasting with Excel
 
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https://alphabench.com/data/excel-moving-average-tutorial.html Part I of Introductory Time Series Forecasting Series Introduction to Time Series Forecasting with Moving Averages Part II & III can be found at the links below: https://alphabench.com/data/excel-time-series-forcasting.html https://alphabench.com/data/excel-theils-u.html Introduction to time series forecasting using examples of moving average forecasting. We attempt to forecast the price of Gold using the GLD ETF as a proxy for the price of gold. Includes a discussion of commonly used error measures, mean absolute deviation, mean squared error and mean absolute percent error. Error measures are used to determine how good your forecast is, in other words, they measure how far off your forecast is on average.
Views: 828 Matt Macarty
Time Series analysis
 
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Watch this brief (10 minutes or so!!) video tutorial on how to do all the calculations required for a Time Series analysis of data on Microsoft Excel. Try and do your best to put up with the pommie accent. The data for this video can be accessed at https://sites.google.com/a/obhs.school.nz/level-3-statistics-and-modelling/time-series
Views: 102090 mrmathshoops
Excel - Time Series Forecasting - Part 3 of 3
 
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Part 1: http://www.youtube.com/watch?v=gHdYEZA50KE&feature=youtu.be Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be This is Part 3 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Part 1 and 2 before watching this part. The links for Parts 1 and 2 are in the video as well as above.
Views: 258752 Jalayer Academy
Simple Linear regression analysis using Microsoft Excel's data analysis toolpak and ANOVA Concepts
 
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Knowledge Varsity (www.KnowledgeVarsity.com) is sharing this video with the audience.
Views: 128219 KnowledgeVarsity
Stock Market Forecasting Using Regression Method: Excel Example
 
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This video tutorial explains how you can use Linear regression method for time series forecasting. Simple explanation with Excel example. Very useful for students and faculty members to write research articles and making academic projects.
Views: 1689 MAP Digital Academy
Forecasting with Seasonality
 
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A brief Excel demonstration of solving a forecasting problem with seasonality.
Views: 128540 Dr. Harvi Millar
Predicting Values with the LINEST Function in Excel
 
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This video explains how to predict values using the LINEST function in Microsoft Excel. The LINEST function returns regression statistics and can be used to estimate a value for an outcome variable using multiple predictor variables.
Views: 32978 Todd Grande
How to perform exponential smoothing in Excel 2013
 
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Visit us at: http://www.statisticshowto.com for more videos and Excel/stats help
Views: 41802 Stephanie Glen
Trend Forecasting in Excel
 
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Final development of a Trend Forecast in Excel. Use to develop a demand forecast over several time periods...
Views: 182222 IntroToOM
Analysis of Historical Data for Forecasting-Part I
 
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For more details, visit http://www.financewalk.com In this video, you'll learn how to analyze Historical Data for Forecasting in valuations like Discounted Cash Flow(DCF). For more details, visit www.financewalk.com
Views: 5380 FinanceWalk
Use the Analysis Toolpak to Create a Moving Average
 
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Check out my Blog: http://exceltraining101.blogspot.com How to calculate a moving average with the Analysis Toolpak feature. This can be use to perform trend analysis. Feel free to provide a comment or share it with a friend! #exceltips #exceltipsandtricks #exceltutorial #doughexcel #exceltips #exceltipsandtricks #exceltutorial #doughexcel #exceltips #exceltipsandtricks #exceltutorial #doughexcel #exceltips #exceltipsandtricks #exceltutorial #doughexcel
Views: 3676 Doug H
Predicting Stock Price movement statistically
 
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Predicting Stock Price movement statistically. Here we use historical data to predict the movement of stock price for next day. It is completely mathematically valid. The mathematical model of Brownian motion has several real-world applications. Stock market fluctuations are often cited, although Benoit Mandelbrot rejected its applicability to stock price movements in part because these are discontinuous. This is a momentum indicator used in technical analysis, which compares the stock's closing price to its price over the course of a particular time frame. During an upward trend in the market, a stock's share price will close near its high (highest price traded), and when in a downward-trending market, the security's price will close near the low (lowest price traded). This may determine whether a stock is overbought or oversold, thus predicting a possible momentum change. http://www.garguniversity.com Check out Ebook "Mind Math" from Dr. Garg https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18
Views: 107077 Garg University
FORECAST.LINEAR & FORECAST.ETS Functions in Excel 2016
 
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Download the featured file here (towards bottom of page) http://www.bluepecantraining.com/portfolio/forecast-linear-forecast-ets-excel-2016-functions/ The FORECAST.ETS predicts a future value based on historical values. It uses the Exponential Triple Smoothing (ETS) algorithm. The FORECAST.LINEAR function makes a prediction using a simple linear regression.
Views: 24884 Chester Tugwell
How to do forecasting with Excel 2016
 
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If you need to forecast numbers -- typically for finance -- the Windows and Mac versions of Excel 2016 have a basket of tools to get the job done.
Views: 24981 Bob Flisser
Linear Regression & Causal Models (in Excel)
 
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This lesson introduces linear regression. We start by explaining the relationship between the dependent and independent variables explored in casual models. Next we develop a one variable regression and then expand to multiple linear regression in Excel. We then examine regression model outputs covering: multiple R, R2, adjusted R2, F-test, coefficients, T-test, and confidence intervals. The lesson concludes by using a regression model to make forecasts. https://ericjjesse.wordpress.com/course-introduction/forecasting-and-regression/
Views: 6422 Eric Jesse
How To... Perform Simple Linear Regression in Excel 2010
 
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Use Excel to generate a Simple Regression Equation and to add a line of best fit to compare two sets of data. Excel also gives you an R-squared value to show how strong the correlation is between the two sets of data.
Views: 165159 Eugene O'Loughlin
Using Excel for Basic Forecast Smoothing
 
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Naive forecast, moving average, weighted moving average, and exponential smoothing with monthly data and excel.
Views: 270980 SpaceOverTime
Time Series Analysis - 1 | Time Series in R | Time Series Forecasting | Data Science | Simplilearn
 
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This Time Series Analysis (Part-1) in R tutorial will help you understand what is time series, why time series, components of time series, when not to use time series, why does a time series have to be stationary, how to make a time series stationary and at the end, you will also see a use case where we will forecast car sales for 5th year using the given data. Link to Time Series Analysis Part-2: https://www.youtube.com/watch?v=Y5T3ZEMZZKs You can also go through the slides here: https://goo.gl/RsAEB8 A time series is a sequence of data being recorded at specific time intervals. The past values are analyzed to forecast a future which is time-dependent. Compared to other forecast algorithms, with time series we deal with a single variable which is dependent on time. So, lets deep dive into this video and understand what is time series and how to implement time series using R. Below topics are explained in this " Time Series in R Tutorial " - 1. Why time series? 2. What is time series? 3. Components of a time series 4. When not to use time series? 5. Why does a time series have to be stationary? 6. How to make a time series stationary? 7. Example: Forcast car sales for the 5th year To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice on R CloudLab by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, finance, airlines, music industry, and unemployment. Why learn Data Science with R? 1. This course forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc 2. According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019 3. Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709 4. Randstad reports that pay hikes in the analytics industry are 50% higher than IT The Data Science Certification with R has been designed to give you in-depth knowledge of the various data analytics techniques that can be performed using R. The data science course is packed with real-life projects and case studies, and includes R CloudLab for practice. 1. Mastering R language: The data science course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R. 2. Mastering advanced statistical concepts: The data science training course also includes various statistical concepts such as linear and logistic regression, cluster analysis and forecasting. You will also learn hypothesis testing. 3. As a part of the data science with R training course, you will be required to execute real-life projects using CloudLab. The compulsory projects are spread over four case studies in the domains of healthcare, retail, and the Internet. Four additional projects are also available for further practice. The Data Science with R is recommended for: 1. IT professionals looking for a career switch into data science and analytics 2. Software developers looking for a career switch into data science and analytics 3. Professionals working in data and business analytics 4. Graduates looking to build a career in analytics and data science 5. Anyone with a genuine interest in the data science field 6. Experienced professionals who would like to harness data science in their fields Learn more at: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Time-Series-Analysis-gj4L2isnOf8&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn/ - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 4236 Simplilearn
Excel for Financial Analysis - Forecast Function
 
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The Forecast function uses liner regression function to predict the value base on dependent variable (represented in the data by known_y's) for the specific value, x, of the independent variable (represented in the data by known_x's) by using a best fit (least squares) linear regression to predict y values from x values. There are a lot of Excel books out there but below are the books I personally recommended For beginner Excel users ► Excel 2016 In Depth: http://amzn.to/2tlCWDf ► Excel 2016 Formulas: http://amzn.to/2uDGwcl ► Excel 2016 For Dummies: http://amzn.to/2uy4g0L ► Excel 2016 Formulas and Functions: http://amzn.to/2tlvyYM ► Excel 2016 Bible: http://amzn.to/2tlvPLi For intermediate/advanced Excel users ► Excel 2016 Pivot Table Data Crunching: http://amzn.to/2uybK3V ► Microsoft Excel Data Analysis and Business Modeling: http://amzn.to/2uudf3k ► Excel 2016 Power Programming with VBA: http://amzn.to/2uDZRtS ► Excel 2016 VBA and Macros: http://amzn.to/2uuCTVq Equipment I use for recording ► Blue Yeti USB Microphone: http://amzn.to/2vxs6H3 ► Camtasia 9: http://amzn.to/2tlBNvz If you find this video helpful please give me a like to my video and subsribe to my channel. Thanks!. For any question, please email me at [email protected]
Views: 5585 Jie Jenn
Analyzing data using variance and standard deviation | Excel | lynda.com
 
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Analyze data using variance and standard deviation in Excel. Watch more Excel tutorials at http://www.lynda.com/Excel-tutorials/Analyzing-data-using-variance-standard-deviation/196583/375050-4.html?utm_campaign=XddpZQyaaqU&utm_medium=social&utm_source=youtube-earned This tutorial is from the Data-Analysis Fundamentals with Excel course presented by lynda.com author Curt Frye. The complete course provides an overview of the fundamentals, from performing common calculations to conducting Bayesian analysis with Excel. Connect with lynda.com: Facebook: http://bit.ly/fbldc Twitter: http://bit.ly/ldctw Google Plus: http://bit.ly/gplusldc LinkedIn: http://bit.ly/linkldc
Views: 12172 LinkedIn Learning
Advanced Excel Modeling (Professional Data Analysis in Excel)
 
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Get your team the right tools for the job. We will make them for you. http://www.mongoosecoding.com Mongoose Coding provides professional Microsoft Excel consulting and development services. This video demonstrates advanced spreadsheet design and showcases Excel features used to make navigable, intuitive data modeling or forecasting spreadsheets. Use macros, vba scripting and advanced formula setups to create a sophisticated forecasting tool. www.mongoosecoding.com
Views: 37911 Docmo
Sales Forecasting with Excel and the SQL Server 2012 Data Mining Add-in Tutorial
 
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Use the Excel Data Mining add-in for SQL 2012 Analysis Services. See how simple it is to build a predictive model that forecasts sales or other values based on historical data.
Views: 12431 Edward Kench
Excel Charts - Creating a Revenue Forecast
 
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This video demonstrates how a trendline could be added to a chart in Excel, to help create a revenue forecast. Want to take your basic Excel skills to the next level? Take our online course and start impressing others: http://www.spreadsheetclinic.com/#!online-training/ce09
Views: 49294 Spreadsheet Clinic
Linear Regression in Excel
 
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Using Excel to create a scatter plot, calculate and graph a trendline.
Views: 840813 lbcccampbem
Excel - Polynomial Quadratic Regression
 
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