Introduction to Data Analytics with Microsoft Excel | Free Udemy Course

RequirementsMicrosoft Office 365 or Excel 2010 - 2019Mac users Pivot Visuals may look slightly different to the examples shownBasic experience with Excel functionality is a bonus but not requiredDescriptionWelcome to the world of Data Analytics, voted the sexiest job of the 21st Century.In this expertly crafted course, we will cover a complete introduction to data analytics using Microsoft Excel, you will cover the concepts, the value and practically apply core analytical skills to turn data into insight and present as a story.Look at this as the first step in becoming a fully-fledged Data ScientistCourse OutlineThe course covers each of the following topics in detail, with datasets, templates and 17 practical activities to walk through step by step:What is Data AnalyticsWhy Do We Need It in this new worldThinking about Data, how it works in the lad v how it works in the wildQualitative v Quantitative data and their importanceFinding Your DataHow to find Sources of Data and what they containReviewing the Dataset and getting hands onAnalysing Your DataMean, Modes, Median and RangeNormal and Non normal Data and its impacts to predictabilityWhat is an Outlier in our data and how do we removeDistribution and Histograms and why they are importantStandard Deviation and Relative Standard Deviation, why variance is the enemyWhat are Run and Control charts and what do they tell us?Working With Pivot TablesHow the Pivot Builder WorksSetting Our HeadersWorking with calculated fieldsSorting and FilteringTransforming Data with Pivot TablesData EngineeringHow to create new, insightful datasetsThe importance of balanced dataLooking at Quality, Cost and Delivery togetherStart Telling Our Analytical StoryWhat is your data telling?Ask Yourself QuestionsTransforming Data into InformationVisualizing Your DataLevels of ReportingWhat Chart to UseDoes Color MatterLet's Visualize Some DataPresenting Your DataBringing The Story Together with a NarrativePractical ActivitiesWe will cover the following practical activities in detail through this course:Practical Example 1 - Mean, Mode, Median, Range & NormalityPractical Example 2 - Distribution and HistogramsPractical Example 3 - Standard Deviation and Relative Standard DeviationPractical Example 4 - A Little Data EngineeringPractical Example 5 - Creating a Run ChartPractical Example 6 - Create a Control ChartPractical Example 7 - Create a Summary Pivot of Our Claims DataPractical Example 8 - Transforming DataPractical Example 9 - Calculated Fields, Sorting and FilteringPractical Example 10 - Lets Engineer Some QCD DataPractical Example 11 - Lets Answer Our Analytical Questions with PivotsPractical Example 12 - Visualizing Our DataPractical Example 13 - Lets Pull our Strategic Level Analysis TogetherPractical Example 14 - Lets Pull our Tactical Level Analysis TogetherPractical Example 15 - Lets Pull our Operational Level Analysis TogetherPractical Example 16 - Lets Add Our Key FindingsPractical Example 17 - Lets Add Our RecommendationsWho this course is for:Anyone who works with Excel on a regular basis and wants to supercharge their skillsExcel users who have basic skills but would like to become more proficient in data exploration and analysisStudents looking for a comprehensive, engaging, and highly interactive approach to trainingAnyone looking to pursue a career in data analysis or business intelligenceWho this course is for:Complete Beginners

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