Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
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Download Excel File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/Intro/001-MSPTDA-IntroToClass.xlsx Download pdf Notes: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/Intro/001-MSPTDA-IntroToClass.pdf This video introduces the topics that will be covered in this Highline College BI 348 Class: Name of Class: BI 348 – Microsoft Power Tools for Data Analysis: • Power Query • Power Pivot • DAX • Power BI Desktop • Excel For Creating: • Data Models, Reports, Dashboards and Analytics Taught by Mike excelisfun Girvin, Excel MVP 2013-2018 • A class about connecting to multiple source of data, transforming the data into a refreshable & dynamic data model, and building reports and dashboards to provide insightful and actionable information. Prerequisites for this class: • Busn 216: Excel Basics, https://www.youtube.com/playlist?list=PLrRPvpgDmw0n34OMHeS94epMaX_Y8Tu1k • Busn 218: Advanced Excel, https://www.youtube.com/playlist?list=PLrRPvpgDmw0lcTfXZV1AYEkeslJJcWNKw • Busn 210: Business Statistics, https://www.youtube.com/playlist?list=PLrRPvpgDmw0ngx_uPhvasTbOWLOztsaBj What Version of Excel: • Office 365 (updated each month) What Version of Power BI Desktop: • Free Tool we will download (update each month) Over View of Topics for the class: 1. Data Analysis / Business Intelligence terms and concepts that we will learn in this class: • Proper Data Set • Fact Table • Dimension Tables • Relationships • Star Schema • ETL • Measures • Dashboards • SQL • Data Warehousing 2. Learn how to use Excel Power Query: • Import Data from multiple sources • Clean and Transform Data • Create Data Components for Star Schema Data Models • Load Data To Excel, the Data Model and Connection Only • Replace Complicated Excel Solutions with Power Query Solution • Use the Power query User Interface to create Power Query Solutions • Learn about the Case Sensitive, Function-based M Code Language that is behind the scenes in Power Query 3. Learn how to use Excel Power Pivot: • Excel Power Pivot provides: i. Data Model where we can have multiple tables, formulas and relationships (Star Schema) ii. Columnar Database to hold "Big Data" and process quickly over that "Big Data" iii. New Formula Language called DAX: 1. Many More Calculations than in Standard PivotTable 2. Build One Formula that can work in many reports 3. Add Number Formatting to Formulas • Excel Power Pivot to: i. Replace VLOOKUP Formulas and Single Flat PivotTable Data Source with Multiple Tables, Relationships in the Data Model to create more efficient Reports & Dashboards ii. Use Power Pivot Columnar Database to hold millions of rows of data iii. DAX formulas have more Power than Standard PivotTable Calculations 4. Learn about Building Star Schema Data Models: a. Why they are important in Power Pivot and Power BI Desktop b. How to build them using: i. Power Query ii. Power Pivot iii. DAX iv. Power BI Desktop 5. Learn how to author DAX Formulas for Excel’s Power Pivot & Power BI Desktop: a. Calculated Column Formulas for Data Model b. Measure Formulas for PivotTables c. DAX Functions like SUMX, CALCULATE, RELATED, and Much More… d. Lean why we must create Explicit rather than Implicit formulas e. Learn how Row Context works in formulas f. Learn how Filter Context works in formulas g. Learn about Scalar & Table Functions h. Use DAX Studio to visualize and analyze DAX Formulas 6. Learn how to use Power BI Desktop: a. Power Query to import, clean, transform and create Star Schema Data Models b. Create Relationships c. Create DAX Formulas d. Build Interactive Visualizations e. Build Dashboards 7. Learn how to use Excel: • Spreadsheet Formulas & Functions • Standard PivotTables • Power Query • Power Pivot • Build Data Model PivotTables and the resultant Reports, Dashboards and Analytics 8. Building Refreshable, Insightful Dashboards a. Build Excel Dashboards b. Build Power BI Dashboards 9. Case Studies to practice using Power Pivot & Power BI Desktop for Reporting, Building Dashboards and Building Business Analytics Solutions The Power Query logo used in this video is copyright of and used with the express permission of https://powerquery.training Thanks to Ken Puls and Miguel Escobar for letting me use their logo!!!!
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Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
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Downloading data and plot is an important part of a shiny app when it comes to sharing the relevant data or plot as part of another presentation or analysis. In this video I've talked about how you can download data as well plot which are present in many tabs and sharing your findings with others.
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Updated video 2018: SPSS for Beginners - Introduction https://youtu.be/_zFBUfZEBWQ This video provides an introduction to SPSS/PASW. It shows how to navigate between Data View and Variable View, and shows how to modify properties of variables.
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Download Excel File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/Intro/002-MSPTDA-DataAnalysisBusinessIntelliegence-Terms.xlsx Download pdf Notes: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/Intro/002-MSPTDA-DataAnalysisBusinessIntelliegence-Terms.pdf Buy excelisfun products: https://teespring.com/stores/excelisfun-store Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor. This video defines these terms and concepts: 1. (00:10) Introduction 2. (01:17) Data Analysis, Business Intelligence 3. (02:08) Query 4. (03:03) Goal of Data Analysis and Business Intelligence: 5. (03:30) Raw Data 6. (03:59) Proper Data Set, Field Names / Column Names / Header Names 7. (04:52) Data Type 8. (05:20) Naming things Smartly & Consistently 9. (07:41) Excel Table feature 10. (09:48) Grain or Granularity 11. (12:07) Keys: Primary Key & Foreign Key 12. (14:16) Fact Table / Transaction Table and Dimension Table / Lookup Table / Entity Tables 13. (17:04) Data Models 14. (19:43) Flat Table in Excel 15. (20:11) Relationships 16. (22:30) Star Schema Data Model 17. (23:32) Snow Flake Data Model 18. (25:12) Relational Database = Normalized Database 19. (25:46) Columnar Database 20. (27:52) Clean Raw Data, Transform Data Sets, Import Data 21. (29:00) ETL, Data Warehousing, SQL 22. (30:35) Concluding Picture and Summary
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How to create a Macro to automatically download data to Excel
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Download Files: https://people.highline.edu/mgirvin/AllClasses/218_2016/218Excel2016.htm Buy excelisfun products: https://teespring.com/stores/excelisfun-store In this video learn about the fundamentals of Data Analysis and Business Intelligence in Excel 2016: Sort, Filter, PivotTables, Power Query, Power Pivot Data Model: 1. (00:05) Introduction 2. (01:39) Sort 3. (03:02) Sorting one column 4. (03:23) Sorting multiple columns 5. (09:06) Sorting Mixed Data 6. (10:50) Filter feature 7. (13:22) Filter Drop-down Arrows to see Unique List 8. (15:34) Filter Different Data Types 9. (18:30) Filter to Extract Records 10. (20:54) OR Logical Test (OR Criteria) Discussion 11. (22:52) AND Logical Test (AND Criteria) Discussion 12. (28:23) BETWEEN and NOT Criteria 13. (30:57) PivotTable. Discussion of Crosstabulated tables and PivotTables as “Calculations with Criteria”, both AND Criteria and OR Criteria. 14. (33:05) PivotTable Basics: 1) Drag and Drop Field Names to add criteria to PivotTable, 2) Cross Tabulated Table, 3) Layout Formatting, 4) Number Formatting 15. (37:41) Adding Slicers 16. (40:21) Creating a Custom Style for a PivotTable 17. (44:48) Name PivotTable 18. (46:12) Create PivotTable using “Summarize Values By”, which allows us to change the Aggregate Functions like: SUM, COUNT, AVERAGE. 19. (51:49) Group Dates by Month and Year 20. (54:50) Create PivotTable using “Show Values As” to calculate “% of Column Total”. 21. (56:09) Hide items in Slicer 22. (57:24) Connect Multiple Slicers to Multiple PivotTables. 23. (58:57) Sort in PivotTable. 24. (01:00:11) Create multiple PivotTables with a single click using “Show Report Filter Pages” 25. (01:03:10) Why we need Power Query and Power Pivot Data Model 26. (01:05:21) Introduction to Power Query (Get & Transform) 27. (01:07:04) Power Query Example 1: Clean and Transform Data Table, Create PivotTable Based on Power Query Update, 3) Add new data to table and Refresh to update Query and PivotTable 28. (01:18:25) Power Query to Unpivot a Crosstabulated Table into a Proper Data Set. 29. (01:24:54) Introduction to Power Pivot and the Data Model 30. (01:25:32) Power Query to import multiple Text File tables with over one million records combine them into a single Table. We will use the “From File, From Folder” option. 31. (01:33:20) Load the million records in Power Query into the Power Pivot Data Model. 32. (01:34:42) Add an Excel Table into the Power Pivot Data Model 33. (01:35:30) Update Power Query 34. (01:36:36) Build a relationship between tables in the Power Pivot Data Model. 35. (01:38:08) Build PivotTable from Millions of Records from Two Tables 36. (01:40:34) Add new Text File to Folder and Update PivotTable. 37. (01:41:22) Summary
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--------------------------------------------- - Origin and OriginPro 2017 - --------------------------------------------- Origin is the data analysis and graphing software of choice for over half a million scientists and engineers in commercial industries, academia, and government laboratories worldwide. Origin offers an easy-to-use interface for beginners, combined with the ability to perform advanced customization as you become more familiar with the application. Origin graphs and analysis results can automatically update on data or parameter change, allowing you to create templates for repetitive tasks or to perform batch operations from the user interface, without the need for programming. Extend the capabilities in Origin by installing free Apps available from our website. Connect with other applications such as MATLAB™, LabVIEW™ or Microsoft© Excel, or create custom routines within Origin using our scripting and C languages, embedded Python, or the R console. Take your data analysis to the next level with OriginPro. In addition to all of Origin's features, OriginPro offers advanced analysis tools and Apps for Peak Fitting, Surface Fitting, Statistics and Signal Processing. Visit the Origin v.s. OriginPro page to view a comparison table. If you are upgrading from a previous version, visit our Top Features page to see what's new in the latest version, or browse our Key Features by Version page. Browse the sections below to learn more about Origin and OriginPro. Features available only in OriginPro are marked as PRO. Graphing Data Exploration Exploratory Analysis Curve and Surface Fitting Peak Analysis Statistics Signal Processing Mathematics Data Processing Importing Exporting and Presentation Batch Processing Project and Data Management Programming and Connectivity Apps in Origin ------------------- - More Info - ------------------- https://www.originlab.com/index.aspx?go=PRODUCTS/Origin -------------- - Music - -------------- 1- Four Dash by Matt Harris 2- Arabian Nightfall by Doug Maxwell 3- Moonlight Sonata by Beethoven ---------------------------- - Download Link - ---------------------------- https://mega.nz/#!61BDCSYQ!13_wDyCOUhr3HG8YDPtyrIkWoXopvc4eV6j4Y9Px1OI -OR- https://goo.gl/Pb3G9X ---------------------------------------- Thanks for stopping by Hope you like it... Take Care !!! any problem with link comment... by Haseeb Khan hukpak
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Data - http://bit.ly/ACLDataNew This is the 1st video of a series of 8 videos on how to use ACL Analytics. Stay tuned and don't forget to check out the rest of the channel.
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Basic user guide for basic data analysis using LabSolutions software including: integration parameters, viewing acquisition settings/method, rolling back data, traces and compound table wizard. http://www.shimadzu.com/an/labsolutions/lcgc/1.html
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Highline College Busn 216 Class: Computer Applications taught by Michael Girvin. Download Excel Start File: https://people.highline.edu/mgirvin/YouTubeExcelIsFun/EB23-SortFilterFlashFillStart.xlsx Download Excel Finished File: https://people.highline.edu/mgirvin/YouTubeExcelIsFun/EB23-SortFilterFlashFillFinished.xlsx Download Full Written Notes: https://people.highline.edu/mgirvin/YouTubeExcelIsFun/Office2016Class35-ExcelBasics23SortFilterFlashFill.pdf Class web page link: https://people.highline.edu/mgirvin/AllClasses/216v2016/Content/04Excel/Excel2016.htm Topics in this Video: 1. (00:01) Introduction about Data Analysis features 2. (01:40) Sorting 3. (11:45) Filtering 4. (21:50) Flash Fill 5. (29:01) Summary
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Download files: Start File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DataModeling/024-MSPTDA-NumberDataTypesMath-Start.xlsx Finished File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DataModeling/024-MSPTDA-NumberDataTypesMath-Finished.xlsx pdf notes for Video #24: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DataModeling/024-MSPTDA-MultiplyDivideAndDataTypes.pdf In this video learn about how different DAX Data Types can affect multiplication and division results and yield different answers depending on the order of the multiplication or division. This apparently violates the Commutative Property of Multiplication. Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.
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People have completed your Google Form and now you have a beautiful summary of responses with graphs, charts, and a scrolling window for comments. How can you share that summary of responses with others? This tutorial walks you through how to share a live web page version of your response summary that will impress your entire audience.
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Part 1 of my R Tutorial - Download, installation and setup. R is a programming language and software environment for statistical computing and graphics. The R language has become a de facto standard among statisticians for the development of statistical software, and is widely used for statistical software development and data analysis. R is part of the GNU project. The website for R is http://www.r-project.org/ Also the Wikipedia article for R is useful to get a first impression of R.
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My RNA-Seq research is published: https://www.nature.com/articles/s41598-017-16603-y This is a class recording of VTPP 638 "Analysis of Genomic Signals" at Texas A&M University. No RNA-Seq background is needed, and it comes with a lot of free resources that help you learn how to do RNA-seq analysis. You will learn: (1) The basic concept of RNA-sequencing (2) How to design your experiment: library prep, sequencing depth, budgets, statistical power. (3) The analysis pipeline (4) Useful resources (all free!!!). ***Up-to-date RNA-Seq Analysis Training/Courses/Papers (Updated on Dec 2017) http://www.biostars.org/p/174376/ Other links are listed here: 1. Comparison of different Illumina Truseq RNA Prep kits: http://www.illumina.com/documents/products/datasheets/datasheet_truseq_stranded_rna.pdf 2. Scotty-Power analysis for RNA Seq Experiments: http://scotty.genetics.utah.edu/ 3. Illumina Sequencing Technology: https://www.youtube.com/watch?v=womKfikWlxM 4. Ensembl FTP download website (include file format description): http://useast.ensembl.org/info/data/ftp/index.html 5. HISAT2: https://ccb.jhu.edu/software/hisat2/index.shtml 6. HTSeq: http://www-huber.embl.de/users/anders/HTSeq/doc/count.html 7. DESeq2 (click on "PDF" for manual): http://bioconductor.org/packages/release/bioc/html/DESeq2.html 8. How many biological replicates are needed in an RNA-seq experiment and which differential expression tool should you use? http://rnajournal.cshlp.org/content/22/6/839.long 9. Gene Ontology: http://pantherdb.org/ 10. IPA Webinars: https://www.qiagenbioinformatics.com/support/webinars/ 11. Texas A&M Supercomputing Facility-trainings: https://sc.tamu.edu/wiki/index.php/HPRC:Training 12. Command Line Tools for Genomic Data Science: https://www.coursera.org/learn/genomic-tools 13. Informatics for RNA-Seq Analysis 2016: https://www.youtube.com/playlist?list=PL3izGL6oi0S849u7OZbX85WTyBxVdcpqx 14. http://www.rnaseq.wiki/ 15. Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004393 16. A survey of best practices for RNA-seq data analysis: https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0881-8 17. RNA-Seq workflow: gene-level exploratory analysis and differential expression: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4670015/ 18. RNA-Seq Blog: http://www.rna-seqblog.com/ 19. BioStars: http://www.biostars.org/ 20. RNA-Seq Analysis Tutorial: https://github.com/CandiceChuDVM/RNA-Seq/wiki/RNA-Seq-analysis-tutorial
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