Get yourself trained on Data Analysis: Easy with this Online Training Data Analysis: Easy Tabular & Graphical Displays in Excel.
Online Training Data Analysis: Easy Tabular & Graphical Displays in Excel
Interested in learning statistics from a real-university stats professor?Looking to improve your data analysis skills using Excel?Seeking to improve your statistics skills for your upcoming college course?Look no further! Hi! I am a stats professor with 10 years experience teaching at the university level. I have designed this course for students who are interested in learning how to use excel to generate descriptive statistics for categorical and quantitative data sets. This is a college level course work, made easy and designed for all skills levels. This course is open to anyone interested in learning about statistics! In this course, I have broken down the course into sections and included many video examples which are easy to follow. This college level statistics knowledge is most beneficial to undergraduate students as well as pre-MBA students, struggling or working with data analysis. This course is also open to any professional who is interested in learning basic concepts of descriptive statistics and has a keen interest in summarizing, analyzing data sets and creating data visualizations in excel. This course is broken down into multiple sections and with easy to follow statistics in excel training videos. No prior knowledge of statistics necessary! In this course we will first differentiate between Categorical and Quantitative variables and then learn to identify real-life data examples of both variables by examining real-life data sources. Next, we will learn how to summarize categorical and quantitative variable data in excel using frequency, relative frequency, percent frequency distributions (tables) and graphical displays (bar chart, pie chart, histogram). Later in the course, we will learn how to construct cross-tabulations using two variables and learn how to summarize (pivot tables, scatter diagram, trendline, side-by-side chart, stacked bar chart) in Excel. Data sets are provided to allow students to practice along with the video training. This 24 lecture course includes video explanations of everything from Frequency distribution and Scatter plots, and it includes more than easy to follow video examples to help you test your understanding and knowledge along the way. Descriptive Statistics in Excel is organized into the following sections:Categorical VariableSummarizing Categorical Variable Data in ExcelQuantitative VariableSummarizing Categorical Variable Data in ExcelCross Tabulation Using Two VariablesSummarizing Data for Two Variables in ExcelWho this course is for:Since knowledge of basic statistics is required for almost all college majors. This course is for current undergraduate students as well as pre-MBA students. This course also functions as a prep course for recent high school graduates who will be attending college soon. It helps students prepare for their statistics course, hence increasing their chances of doing well in the course and increasing their GPA.This course is also open for anyone who wants to study descriptive statistics, runs a business and is interested in creating data visualizations in excel after being away from school for a while.Students of Machine Learning, Data Science, Computer Science, Electrical Engineering , as Statistics is the prerequisite course to Machine Learning, Data Science, Computer Science and Electrical EngineeringA Warm Welcome to Everyone! Let’s learn how to Analyze Data in Excel NOW 🙂
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.