List of Learning Paths available in LinkedIn Learning on Data Science, Ai and supportive technologies.

1. 1
List of Data Science, Artificial Intelligence and supportive courses –
Learning Paths from LinkedIn Learning
https://www.linkedin.com/learning/paths/master-python-for-data-science .................................................................5
Learning Python ..........................................................................................................................................................................5
Programming Foundations: Object-Oriented Design ...........................................................................................................5
Python Essential Training ..........................................................................................................................................................5
Python for Data Science Essential Training ............................................................................................................................5
Learning Python for Data Science, with Tim Fox and Elephant Scale ................................................................................5
Data Science Foundations: Python Scientific Stack...............................................................................................................5
Python: Data Analysis ................................................................................................................................................................5
Python for Data Science Tips, Tricks, & Techniques ..............................................................................................................5
https://www.linkedin.com/learning/paths/become-a-data-science-team-member.....................................................5
Learning Data Science: Understanding the Basics ................................................................................................................6
Learning Data Science: Manage Your Team ..........................................................................................................................6
Learning Data Science: Using Agile Methodology ................................................................................................................6
Learning Data Science: Ask Great Questions .........................................................................................................................6
Learning Data Science: Tell Stories With Data.......................................................................................................................6
https://www.linkedin.com/learning/paths/become-a-data-visualization-specialist-concepts ...................................6
Learning Data Science: Tell Stories With Data.......................................................................................................................6
Data Visualization: Storytelling ................................................................................................................................................6
Designing an Infographic...........................................................................................................................................................6
Learning Data Visualization ......................................................................................................................................................6
Designing a Data Visualization.................................................................................................................................................7
Data Visualization: Best Practices............................................................................................................................................7
Data Visualization for Data Analysts.......................................................................................................................................7
Data Visualization Tips and Tricks ...........................................................................................................................................7
https://www.linkedin.com/learning/paths/become-a-data-analytics-specialist............................................................7
Learning Data Analytics .............................................................................................................................................................7
Statistics Foundations: 1............................................................................................................................................................7
Statistics Foundations: 2............................................................................................................................................................7
Statistics Foundations: 3............................................................................................................................................................7

2. 2
Financial Forecasting with Big Data ........................................................................................................................................8
The Essential Elements of Predictive Analytics and Data Mining .......................................................................................8
Predictive Customer Analytics ..................................................................................................................................................8
Applied Economic Forecasting with Big Data ........................................................................................................................8
Meta-analysis for Data Science and Business Analytics.......................................................................................................8
https://www.linkedin.com/learning/paths/become-an-ai-and-machine-learning-specialist-part-i...........................8
Artificial Intelligence Foundations: Thinking Machines........................................................................................................8
Building a Recommendation System with Python Machine Learning & AI ......................................................................8
The Essential Elements of Predictive Analytics and Data Mining .......................................................................................9
Machine Learning & AI Foundations: Value Estimations.....................................................................................................9
Machine Learning & AI Foundations: Recommendations....................................................................................................9
https://www.linkedin.com/learning/paths/become-an-ai-and-machine-learning-specialist-part-ii..........................9
Building Deep Learning Applications with Keras 2.0 ............................................................................................................9
Building and Deploying Deep Learning Applications with TensorFlow .............................................................................9
Machine Learning & AI: Advanced Decision Trees ................................................................................................................9
Building a Recommendation System with Python Machine Learning & AI ......................................................................9
Amazon Web Services Machine Learning Essential Training ............................................................................................10
Neural Networks and Convolutional Neural Networks Essential Training......................................................................10
Machine Learning & AI Foundations: Clustering and Association....................................................................................10
Machine Learning & AI Foundations: Linear Regression ...................................................................................................10
https://www.linkedin.com/learning/paths/advance-your-ai-and-machine-learning-skills........................................10
Machine Learning & AI Foundations: Decision Trees .........................................................................................................10
Machine Learning & AI: Advanced Decision Trees ..............................................................................................................10
Mathematica 11 Machine Learning ......................................................................................................................................10
Spark for Machine Learning & AI ...........................................................................................................................................11
Machine Learning & AI Foundations: Value Estimations...................................................................................................11
https://www.linkedin.com/learning/paths/master-sql-for-data-science .......................................................................11
SQL Essential Training (2014) .................................................................................................................................................11
Learning SQL Programming ....................................................................................................................................................11
SQL: Data Reporting and Analysis..........................................................................................................................................11
Advanced NoSQL for Data Science.........................................................................................................................................11

3. 3
SQL Tips, Tricks, & Techniques ................................................................................................................................................11
NoSQL for SQL Professionals ...................................................................................................................................................12
Presto Essentials: Data Science ..............................................................................................................................................12
https://www.linkedin.com/learning/paths/advance-your-data-science-skills-in-health-sciences ...........................12
Data Science Foundations: Python Scientific Stack.............................................................................................................12
Descriptive Healthcare Analytics in R ....................................................................................................................................12
Healthcare Analytics: Regression in R ...................................................................................................................................12
https://www.linkedin.com/learning/paths/master-gis-for-data-science .......................................................................12
ArcGIS Pro Essential Training..................................................................................................................................................12
Visualizing Geospatial Data with Power Map in Excel .......................................................................................................12
Real-World GIS ..........................................................................................................................................................................13
GIS on the Web..........................................................................................................................................................................13
Learning QGIS ............................................................................................................................................................................13
Learning ArcGIS .........................................................................................................................................................................13
ArcGIS Essential Training .........................................................................................................................................................13
Learning MapGuide Open Source ..........................................................................................................................................13
https://www.linkedin.com/learning/paths/advance-your-skills-as-an-apache-spark-specialist...............................13
Extending Hadoop for Data Science: Streaming, Spark, Storm, and Kafka ....................................................................13
Apache Spark Essential Training ............................................................................................................................................13
Apache Spark Essential Training: Big Data Engineering ....................................................................................................14
Spark for Machine Learning & AI ...........................................................................................................................................14
https://www.linkedin.com/learning/paths/become-a-data-visualization-specialist-tools.........................................14
Tableau 10 Essential Training.................................................................................................................................................14
Tableau 10 for Data Scientists ................................................................................................................................................14
Creating Interactive Dashboards in Tableau 10 ..................................................................................................................14
Learning Data Visualization with D3.js .................................................................................................................................14
D3.js Essential Training for Data Scientists ..........................................................................................................................14
DC.js for Data Science Essential Training..............................................................................................................................14
Creating Interactive Presentations with Shiny and R .........................................................................................................15
Processing: Interactive Data Visualization ...........................................................................................................................15
Creating Projects for Interactive Data Visualization with Processing..............................................................................15

4. 4
https://www.linkedin.com/learning/paths/improve-your-tableau-skills.......................................................................15
Tableau 10 for Data Scientists ................................................................................................................................................15
Tableau 10 Essential Training.................................................................................................................................................15
Creating Interactive Dashboards in Tableau 10 ..................................................................................................................15
Tableau 10: Mastering Calculations ......................................................................................................................................15
Integrating Tableau and R for Data Science ........................................................................................................................15
https://www.linkedin.com/learning/paths/become-a-data-engineer-mastering-the-concepts...............................16
Data Science Foundations: Data Engineering......................................................................................................................16
Learning NoSQL Databases .....................................................................................................................................................16
HBase Essential Training..........................................................................................................................................................16
Apache Spark Essential Training: Big Data Engineering ....................................................................................................16
Architecting Big Data Applications: Batch Mode Application Engineering ....................................................................16
Architecting Big Data Applications: Real-Time Application Engineering ........................................................................16
SQL: Data Reporting and Analysis..........................................................................................................................................16
Advanced NoSQL for Data Science.........................................................................................................................................16
SQL Tips, Tricks, & Techniques ................................................................................................................................................16
NoSQL for SQL Professionals ...................................................................................................................................................17

5. 5
https://www.linkedin.com/learning/paths/master-python-for-data-science
COURSE 2h 11m
Learning Python
Get startedwithPython,the popularandhighlyreadable object-orientedlanguage.
COURSE 3h 1m
Programming Foundations:Object-OrientedDesign
Introducesobject-orientedtermslike abstractionandinheritance andshowshow todefine
requirementsanduse casesandcreate a conceptual model of yourapplication.
COURSE 4h 45m
Python Essential Training
Learn the essentialsof Pythonscripting.Review the syntax of thissimple yetpowerfulprogramming
language,andlearnhowto write scripts,create modules,andintegrate adatabase withPython3and
the Pythondatabase API.
COURSE 6h 32m
Python for Data Science Essential Training
By usingPythontogleanvalue fromyourraw data, youcan simplifythe oftencomplex journeyfrom
data to value.Inthispractical,hands-oncourse,learnhow touse Pythonfordata preparation,data
munging,datavisualization,andpredictiveanalytics.
COURSE 1h 6m
Learning Pythonfor Data Science, withTim Fox and Elephant Scale
Learn howto analyze andmake sense of data usingopensource Pythonlibraries.
COURSE 3h 34m
Data Science Foundations:PythonScientific Stack
In thishands-oncourse,learnhowtouse the Pythonscientificstackto complete datascience tasks.Find
out howto workwithPandasfor data crunching, matplotlibfordatavisualization,NumPyfornumeric
computation,andmore.
COURSE 2h 16m
Python: Data Analysis
InterestedinusingPythonfordataanalysis?Learnhow touse Python,Pandas,andNumPytogetherto
analyze datasetsbig andsmall.
COURSE 47m 46s
Python for Data Science Tips, Tricks, & Techniques
Thiscourse providestwelvetechniquesforhow towork withdatausingPython.Learnhow to explore
data, ingestdata,visualizedata,andmore.
https://www.linkedin.com/learning/paths/become -a-data-science-team-member

6. 6
COURSE 1h 16m
Learning Data Science:Understanding the Basics
Get an introductiontodatascience designedforpeople whoaren'tplanningon beingfull-timedata
scientists.Learnthe basicsof gatheringandanalyzingbigdata.
COURSE 1h 14m
Learning Data Science:Manage Your Team
Learn to hire,foster,andmanage datascience teamsthatproduce deeperinsightsandmore effective
reportsand visualizations.
COURSE 1h 16m
Learning Data Science:Using Agile Methodology
Delivervaluable datascience insightseverytwoweeks.Learnhow toworkwithinthe datascience life
cycle (DSLC) and breakdownyourwork withtoolssuchas questionboards.
COURSE 1h 14m
Learning Data Science:Ask Great Questions
Enhance your abilitytoaskcritical questionsthathelpyourdatascience teammake betterdiscoveries
and evaluate data.Learnaboutthe keycomponentsof critical reasoningandhow torun question
meetings,organizeyourquestionsintoquestiontrees,andmore.
COURSE 1h 17m
Learning Data Science:Tell Stories WithData
Learn howto ensure yourdata science storiesengageyourstakeholdersanddrivesresults.
https://www.linkedin.com/learning/paths/become -a-data-visualization-specialist-
concepts
COURSE 1h 17m
Learning Data Science:Tell Stories WithData
Learn howto ensure yourdata science storiesengageyourstakeholdersanddrivesresults.
COURSE 1h 37m
Data Visualization:Storytelling
Learn the keysto tellingastorywithdatafrom data visualizationexpertBillShander.
COURSE 1h 50m
Designing anInfographic
Learn howto buildaninfographicthatmakescomplex informationeasytounderstandandvisually
compelling.
COURSE 3h 41m
Learning Data Visualization
Communicate complexideasquicklyandthoroughlywithdatavisualization.Turninformationinto
artworkand intrigue youraudience.

7. 7
COURSE 3h 38m
Designing aData Visualization
Learn howto buildadata visualizationinIllustrator,usingscriptingforspeed,accuracy,and
repeatability.
COURSE 1h 15m
Data Visualization:Best Practices
Builddatavisualizationsthatare accurate and compelling.Learntocreate charts and graphsthat look
great andstand up toanalysis.
COURSE 1h 31m
Data Visualizationfor DataAnalysts
Start thinkingmore clearlyandstrategicallyaboutdatavisualization.Learnthe tenkeycomponentsof
great communicationdesignandhowtoput themintopractice inthe slides,charts,diagrams,and
templatesyouworkwitheveryday.
COURSE 2h 14m
Data VisualizationTips andTricks
Do data vizthe right way,everytime.Getdata visualizationtipsandtricksforchoosingthe right
visualization,chartingrelationships,visualizingdatadistributions,creatingmaps,andmore.
https://www.linkedin.com/learning/paths/become-a-data-analytics-specialist
COURSE 1h 39m
Learning Data Analytics
Learn the basicsof data analytics:usingdataforanalysisandreporting.Thisbeginner-level datascience
course is foranyone whoworkswithdata.
COURSE 2h 6m
Statistics Foundations:1
All typesof jobsuse statistics.Learnthe mostcommonstatistics,includingmean,median,standard
deviation,probabilityandmore,inthese beginner-level statisticslessons.
COURSE 1h 56m
Statistics Foundations:2
Get practical,example-basedlearningof the intermediateskillsassociatedwithstatistics:samplesand
sampling,confidence intervals,andhypothesistesting.
COURSE 1h 41m
Statistics Foundations:3
Complete yourmasteryof statistics.Getanadvanced understandingof conceptssuchas t-distribution,
degreesof freedom, chi-squaretesting,regressiontesting,andANOVA.
COURSE 1h 21m

8. 8
Financial Forecasting withBig Data
Quicklycreate financial forecastsusingbigdata,predictiveanalytics,andMicrosoftExcel.
COURSE 1h 28m
The Essential Elementsof PredictiveAnalytics andDataMining
Learn the basicsof data miningandpredictiveanalytics.Learnthe stepsof a real-worldproject,from
definingthe problemtoputtingthe solutionintopractice,and review CRISP-DMandthe 9 lawsof data
mining.
COURSE 1h 37m
Predictive Customer Analytics
Learn aboutthe customerlife cycle andhow predictive analyticscanhelpimprove everystepof the
customerjourney.Use predictiveanalyticstoidentify,attract, andretainthe bestcustomersforyour
business.
COURSE 1h 37m
AppliedEconomic Forecasting withBig Data
Use bigdata to forecasteconomictrends.Findouthow toperformregressionanalysisforeconomic
forecastingusingMicrosoftExcel.
COURSE 49m 5s
Meta-analysis for DataScience andBusiness Analytics
Enhance your understandingof meta-analysis.Learnaboutraw meandifferences—specificallyfor
experimental andcomparisongroups—andhow toconvertusefuloutcome measuressuchasrelative
riskand oddsratiosto commensurate measuresof effectsize.
https://www.linkedin.com/learning/paths/become -an-ai-and-machine-learning-
specialist-part-i
COURSE 1h 27m
Artificial IntelligenceFoundations:Thinking Machines
Learn the keyconceptsbehindartificial intelligence (AI),includingstrongandweakAI,approachessuch
as machine learning,andpractical usesfornew AI-enhancedtechnologies.
COURSE 1h 38m
Building a RecommendationSystemwithPythonMachine Learning &AI
Discoverhowto use Pythontobuildprogramsthat can make recommendations.Thishands-oncourse
exploresdifferenttypesof recommendationsystems,andshowshow tobuildeachone.
COURSE 1h 28m

9. 9
The Essential Elementsof PredictiveAnalytics andDataMining
Learn the basicsof data miningandpredictiveanalytics.Learnthe stepsof a real-worldproject,from
definingthe problemtoputtingthe solutionintopractice,andreview CRISP-DMandthe 9 lawsof data
mining.
COURSE 1h 4m
Machine Learning & AI Foundations:Value Estimations
Discoverhowto solve value estimationproblemswithmachine learning.Learnhow tobuildavalue
estimationsystemthatcan estimate the value of a home.
COURSE 58m 7s
Machine Learning & AI Foundations:Recommendations
Thisproject-basedcourse showsprogrammersof all skill levelshow touse machine learningtobuild
programsthat can make recommendations—like recommendingnew productstocustomers basedon
howtheyreviewedotherproducts.
https://www.linkedin.com/learning/paths/become -an-ai-and-machine-learning-
specialist-part-ii
COURSE 1h 24m
Building DeepLearning ApplicationswithKeras 2.0
Learn howto install Keras— apopulardeeplearningframework—anduse ittobuildasimple deep
learningmodel.
COURSE 1h 46m
Building and Deploying DeepLearning ApplicationswithTensorFlow
Discoverhowto install TensorFlowanduse ittocreate,train,and deployamachine learningmodel.
COURSE 1h 16m
Machine Learning & AI: AdvancedDecisionTrees
Work towardsa masteryof machine learningbyexploringadvanceddecisiontree algorithmconcepts.
Learn aboutthe QUEST algorithm,the C5.0 algorithm, anda few advancedtopicsthatapplyto all
decisiontrees.
COURSE 1h 38m
Building a RecommendationSystemwithPythonMachine Learning &AI
Discoverhowto use Pythontobuildprogramsthat can make recommendations.Thishands-oncourse
exploresdifferenttypesof recommendationsystems,andshowshow tobuildeachone.
COURSE 3h 7m

10. 10
AmazonWeb Services Machine Learning Essential Training
Learn aboutpatterns,services,processes,andbestpracticesfordesigningandimplementingmachine
learningusingAmazonWebServices.
COURSE 1h 19m
Neural Networks andConvolutional Neural Networks Essential Training
Take a deepdive intoneural networksandconvolutionalneural networks,twokeyconceptsin the area
of machine learning.
COURSE 3h 22m
Machine Learning & AI Foundations:Clustering andAssociation
Learn howto use clusteranalysis,associationrules,andanomalydetectionalgorithmsforunsupervised
learning.
COURSE 3h 57m
Machine Learning & AI Foundations:Linear Regression
Expandyour data science skillsbylearninghow toleveragethe conceptsof linearregressiontosolve
real-worldproblems.
https://www.linkedin.com/learning/paths/advance -your-ai-and-machine-learning-
skills
COURSE 1h 16m
Machine Learning & AI Foundations:DecisionTrees
Establishastrong foundationinmachine learningbyexploringthe IBMSPSSModelerandlearningabout
CHAID,C&RT, and howto improve yourmodel.Thiscourse isdesignedtohelpexpandyourdatascience
skills.
COURSE 1h 16m
Machine Learning & AI: AdvancedDecisionTrees
Work towardsa masteryof machine learningbyexploringadvanceddecisiontree algorithmconcepts.
Learn aboutthe QUEST algorithm,the C5.0 algorithm, anda few advancedtopicsthatapplyto all
decisiontrees.
COURSE 1h 15m
Mathematica11 Machine Learning
Get startedwithmachine learninginMathematica11.Learn how to separate trainingdatafromtest
data, prepare datafor machine learning,performsupervisedmachinelearningtasks,andmore.
COURSE 1h 51m

11. 11
Spark for Machine Learning & AI
Discoverhowto workwiththe powerful Apache Sparkplatformformachine learning.Learnabout
preprocessingdata,applyingalgorithmstoa varietyof machine learningproblems,andmore.
COURSE 1h 4m
Machine Learning & AI Foundations:Value Estimations
Discoverhowto solve value estimationproblemswithmachine learning.Learnhow tobuilda value
estimationsystemthatcan estimate the value of ahome.
https://www.linkedin.com/learning/paths/master-sql-for-data-science
COURSE 3h 27m
SQL Essential Training (2014)
Learn howto use SQL to manage your database recordsinthese simple,straightforwardtutorials,which
include aquickstart guide anddetailedinstructionsforcreatingtables,definingrelationships,
manipulatingstrings,andmore.
COURSE 1h 27m
Learning SQL Programming
Learn the basicsof SQL,the programminglanguage forretrievingandeditingdatafromdatabasessuch
as SQL Server,MySQL,MariaDB, and PostgreSQL.
COURSE 2h 16m
SQL: Data Reporting andAnalysis
Get the data youneedforanalysis andreportingbywritingyourownSQL code.Learn how to write basic
SQL queries,sortandfilterdata,andjoinresultsfromdifferenttablesanddatasets.
COURSE 1h 56m
AdvancedNoSQL for Data Science
Explore the fundamentalsof NoSQL.Learnthe differencesbetweenNoSQLandtraditional relational
databases,discoverhowtoperformcommondatascience taskswithNoSQL,andmore.
COURSE 59m 23s
SQL Tips, Tricks, & Techniques
Get BenSullins's 12 must-have SQLtechniquesfordatascience pros—engineers,DevOps,dataminers,
programmers,andothersystemsspecialists.
COURSE 3h 26m

12. 12
NoSQL for SQL Professionals
Learn howto choose a NoSQLdatabase solutionthat'srightforyour organization,includingoptionsthat
workwithMicrosoftSQL Serverand onthe cloud.
COURSE 1h 48m
PrestoEssentials:DataScience
Get up tospeedwithPresto,the open-source SQLqueryengine developedbyFacebook.Learnthe key
conceptsof Prestoand howto use themto take full advantage of yourmodernbigdata system.
https://www.linkedin.com/learning/paths/advance -your-data-science-skills-in-
health-sciences
COURSE 3h 34m
Data Science Foundations:PythonScientific Stack
In thishands-oncourse,learnhowtouse the Pythonscientificstackto complete datascience tasks.Find
out howto workwithPandasfor data crunching,matplotlibfordatavisualization,NumPyfornumeric
computation,andmore.
COURSE 4h 15m
DescriptiveHealthcare Analytics inR
Learn howto conducta descriptiveanalysisof healthcare datasetsusingRbyanalyzingthe Behavioral
RiskFactor Surveillance System(BRFSS),apublichealthsurveillance survey.Thiscourse teachesyouto
independentlydesign,develop,andexecuteafull BRFSSanalysis.
COURSE 4h 2m
Healthcare Analytics:RegressioninR
Learn howto performlinearregressionmodelingandlogisticregressionmodelingusingR.This course
showshowto prepare,develop,andfinalizemodelsusingthe forwardstepwisemodelingprocess.
https://www.linkedin.com/learning/paths/master-gis-for-data-science
COURSE 4h 25m
ArcGIS Pro Essential Training
Learn howto map 2D and 3D data withthe new layoutandgeoprocessingtoolsinArcGISPro.
COURSE 37m 35s
Visualizing Geospatial DatawithPower Mapin Excel
Learn howto buildandvisualizedatawithinadynamicheatmapusingExcel and PowerMap.
COURSE 2h 43m

13. 13
Real-WorldGIS
Get solutionstoreal-worldGISchallenges,suchascollectingqualitydata,creatingprojections,and
findingaGIS job.
COURSE 2h 8m
GIS on the Web
Use Google Maps,Google Drive,BingMaps, andother webtechnologiestoanalyze,map,andshare GIS
data.
COURSE 2h 5m
Learning QGIS
Enrich yourGIS data and make more effectivemapswithQGIS,the open-source GISsoftware.
COURSE 3h 13m
Learning ArcGIS
Learn howto organize,display,analyze,andmapgeospatial datawithArcGIS.
COURSE 5h 31m
ArcGIS Essential Training
Learn to create and manage data,maps,and analytical modelswithArcGIS.
COURSE 1h 31m
Learning MapGuide OpenSource
Master the insand outs of creatingand publishingweb-basedmapsandmappingapplicationswith
MapGuide OpenSource.
https://www.linkedin.com/learning/paths/advance-your-skills-as-an-apache-spark-
specialist
COURSE 2h 53m
Extending Hadoop for Data Science:Streaming, Spark, Storm, and Kafka
ExtendyourHadoopdata science knowledge tootherApache datascience toolsandattendant
technologiesincludingApache Spark,Storm, Kafka,andmore.
COURSE 1h 27m
Apache Spark Essential Training
Get up tospeedwithSpark,anddiscoverhow to leverage thispowerfulplatformtoefficientlyand
effectivelyworkwithbigdata.
COURSE 1h 40m

14. 14
Apache Spark Essential Training:Big DataEngineering
Discoverhowto make Apache Sparkworkwithotherbig data technologiestobuilddatapipelinesfor
data engineeringandDevOps.
COURSE 1h 51m
Spark for Machine Learning & AI
Discoverhowto workwith the powerful Apache Sparkplatformformachine learning.Learnabout
preprocessingdata,applyingalgorithmstoa varietyof machine learningproblems,andmore.
https://www.linkedin.com/learning/paths/become -a-data-visualization-specialist-
tools
COURSE 4h 41m
Tableau 10 Essential Training
Learn everythingyouneedtoknowtoanalyze anddisplaydatausingTableauDesktop—andmake
better,more data-drivendecisionsforyourcompany.
COURSE 2h 24m
Tableau 10 for Data Scientists
Tableauwasmade for data science.Learnhow to formatand filtermessydata,use Tableaufordata
analysis,andvisualize datawithmapsanddashboards.
COURSE 2h 24m
Creating Interactive Dashboards in Tableau 10
Explore andanalyze yourdata usinginteractivedashboardsinTableau10.
COURSE 2h 5m
Learning Data Visualizationwith D3.js
Bringyour data to life withD3.js.Create interactive,visuallyexcitinginfographicsandvisualizationswith
HTML, CSS,JavaScript,andSVG graphics.
COURSE 4h 38m
D3.js Essential Training for Data Scientists
BuildbeautifulandinteractivedatavisualizationswithD3.Learnto create tree diagrams,stack charts,
spatial maps,and more,all witha webbrowser,a few linesof code,andthe D3.jslibrary.
COURSE 5h 3m
DC.js for Data Science Essential Training
Learn howto use DC.jsincoordinationwithCrossfilterandD3.jsto create interactive dashboardsand
widgetsthatdisplaybarcharts,scatterplots,heatmaps,andmore.
COURSE 1h 53m

15. 15
Creating Interactive Presentations withShiny and R
Make the resultsof bigdata analysismore compellingandclear.Learnhow to create interactive
presentationsanddashboardswithRStudioandShiny.
COURSE 7h 43m
Processing:Interactive Data Visualization
Discoverhowto create compellingdatavisualizationsusingProcessing,anopen-source drawingand
developmentenvironment.
COURSE 1h 41m
Creating Projects for Interactive Data VisualizationwithProcessing
Challenge yourself withthisseriesof real-worlddatavisualizationscenariosinProcessing,anopen-
source drawingand developmentenvironment.
https://www.linkedin.com/learning/paths/improve-your-tableau-skills
COURSE 2h 24m
Tableau 10 for Data Scientists
Tableauwasmade for data science.Learnhow to formatand filtermessydata,use Tableaufordata
analysis,andvisualize datawithmapsand dashboards.
COURSE 4h 41m
Tableau 10 Essential Training
Learn everythingyouneedtoknowtoanalyze anddisplaydatausingTableauDesktop—andmake
better,more data-drivendecisionsforyourcompany.
COURSE 2h 24m
Creating Interactive Dashboards in Tableau 10
Explore andanalyze yourdata usinginteractivedashboardsinTableau10.
COURSE 3h 24m
Tableau 10: Mastering Calculations
Discoverhowto create useful andpowerfulformulasinTableau10,the popularanalyticsand
visualizationtool.
COURSE 1h 10m
Integrating Tableau and R for Data Science
Discoverhowto combine TableauandRto provide yourbusinesswithunparalleledabilitiestosee and
understandyourdata.Learn howto integrate these twoplatforms,aswell ashow to determinewhen
each one isa betterchoice.

16. 16
https://www.linkedin.com/learning/paths/become -a-data-engineer-mastering-the-
concepts
COURSE 53m 24s
Data Science Foundations: Data Engineering
Data science expertBenSullinsexplainsthe basicsof bigdataand demonstrateshow toperformcore
data engineeringtasksincludingstaging,profiling,cleansing,andmigratingdata.
COURSE 56m 53s
Learning NoSQLDatabases
Explore the possibilitiesNoSQLdatabasesofferdevelopersforunparalleledflexibilityandperformance.
COURSE 1h 20m
HBase Essential Training
Learn the basicsof HBase,the Hadoopdatabase for bigdata analytics.Getan understandingof the
HBase architecture andbasicread/write commands.
COURSE 1h 40m
Apache Spark Essential Training:Big Data Engineering
Discoverhowto make Apache Sparkworkwithotherbig data technologiestobuilddatapipelinesfor
data engineeringandDevOps.
COURSE 1h 37m
Architecting Big Data Applications:Batch Mode ApplicationEngineering
Learn aboutuse casesand bestpracticesfor architectingbatchmode applicationsusingbigdata
technologiessuchasHive and Apache Spark.
COURSE 1h 4m
Architecting Big Data Applications: Real-Time ApplicationEngineering
Learn aboutuse casesand bestpracticesfor architectingreal-time applicationsusingbigdata
technologies,suchasHazelcastandApache Spark.
COURSE 2h 16m
SQL: Data Reporting and Analysis
Get the data youneedforanalysisandreportingbywritingyourownSQL code.Learn how to write basic
SQL queries,sortandfilterdata,andjoinresultsfromdifferenttablesanddatasets.
COURSE 1h 56m
Advanced NoSQL for Data Science
Explore the fundamentalsof NoSQL.Learnthe differencesbetweenNoSQLandtraditional relational
databases,discoverhowtoperformcommondatascience taskswithNoSQL,andmore.
COURSE 59m 23s
SQL Tips, Tricks,& Techniques
Get BenSullins's12 must-have SQLtechniquesfordatascience pros—engineers,DevOps,dataminers,
programmers,andothersystemsspecialists.

17. 17
COURSE 3h 26m
NoSQLfor SQL Professionals
Learn howto choose a NoSQLdatabase solutionthat'srightforyour organization,includingoptionsthat
workwithMicrosoftSQL Serverand onthe cloud.