training data science 2017 - godatadriven · pdf file– godatadriven has been actively...

TRAINING
DATA SCIENCE 2017
LEARN TO DEVELOP HIGH- PERFORMING DATA SCIENCE SOLUTIONS BY USING R, PYTHON, OR SPARK.

Organizations need to adapt to change more effectively. For this, they require Data Scientists that not only can develop statistical
models that predict future events, but can take these models into
production as well.
Data Science training enables professionals to escalate their Data Science skills to the next level.
Whether you are new to the Data Science scene and want to learn how to develop models with R,
Python, or Spark, or you are an experienced Data Scientist interested in broadening and
deepening your skill set; GoDataDriven offers a complete package of high-quality Data Science
training.
Our skilled trainers have world-class knowledge and years of experience in the field of Big Data
and Data Science.
We are specifically proud of the Data Science Accelerator Program, a complete program that
escalates Data Science skills to the highest level.
Technology PartnersGoDataDriven is the exclusive training partner of
Cloudera (Hadoop), Datastax (Cassandra), Confluent (Kafka) and Databricks (Spark). Besides, GoDataDriven
is also a partner of Revolution Analytics (R) and NeoTechnology (Neo4J).
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Applicable Training
Much efforts have been put into creating the content based on real-life experience
with big data and data science. You can be certain that the content is fit to be
used in any organization. We adapt the pace of the program to every
participant and allow as much time for questions and interaction as
required.
In 2013, GoDataDriven was named Cloudera EMEA training partner of the year, in 2016 named Trainer of the Year APAC;
Thetrainersareallproficientandhighlyexperiencedwiththetrainingsubject,makingsurethatthecontentsareexplainedvividlyandcanbeappliedinyourbusinessdirectly;
GoDataDrivenhasbeenactivelydeployingHadoopsince2009, GoDataDriven laid the foundation for data-driven transitionsforthelargeste-commerceandtravelbusinessesintheNetherlands,includingKLM,Schiphol,eBay,Wehkamp&Bol.com;
GoDataDrivenhassuccessfullyfacilitatedtrainingthroughoutEuropeandtheMiddleEastandhasdeliveredcustomdatasciencesolutionstodozensoflargeenterprises;
Leadingtechnologyproviders,includingCloudera,Datastax,Confluent,andDatabricks,haveselectedGoDataDrivenastheirexclusivetrainingprovider.
The trainer was very knowledgeable. I specifically liked the way of presenting and the good structure of the training.
Joris van QuaethovenTelenet

Data Science Curriculum
Cloudera Data Science at Scale using Spark and Hadoop 3 days
March 13th / June 13th / November 20th
Data Science with Spark 3 daysJanuary 24th / May 22nd /
December 13th
Data Science with Python 3 daysFebruari 8th/ April 4th / June 26th /
October 2nd
Data Science with R 3 daysMarch 23rd / June 21st /
November 1st
Machine Learning for Data Science 3 days
March 6th / December 20st
Data Science Accelerator Program - 10 days
May 16th
ClouderaDataScienceatScale usingSparkandHadoop3days/2.195,-
LearnhowdatascientistsuseSparkandHadooptohelpcompaniesreducecost,increaseprofit,improveproducts,retaincustomers,andidentifynewopportunities. This three-day training taught in English alternates between instructionalsessionsandinteractive,hands-onlearning labstoteachyouhowtousedatasciencetoachieveimpactfulresults.
Thistrainingisscheduledfor:
1315March
1315June
20 22 November
DataSciencewithSpark3days/1.795,-
ThistrainingempowersyouasadatascientisttouseSparktododatascienceandapplymachinelearningmodels.YouwilllearnhowtouseSparkincombinationwithPythonandJupyternotebooksanddevelopskillstouseSparkfromthecommandline,notebooks,andscripts.ThistrainingalsoteachesyoutoworkwithDataFrames,applymachinelearningalgorithmsinSpark,andusePipelinesandCrossValidation.
2426January
22 24 May
1315December
DataSciencewithPython3days/1.795,-
ThistrainingwillteachyouabouttherelevantpackagesandtoolstododatascienceinPython.Wewillcoverthetoolsandpackagesthathelpyousolveyourday-to-daydatascienceneeds.Specifically,youwilllearnhowtoworkwithnumpy,pandas,matplotlib,andscikit-learn;wewillteachhowtousetheJupyterenvironmentandhowtoleverageitsnotebooks.Addedtothat,wewillshowyouhowthecommandlinetospeedupsomeeverydaytasksrelevanttodatascience.
810February
4 6 April
2628June
2 4 October
04 Data Science Training 2017O
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DataSciencewithR2days/1.195,-
ThistrainingempowersyouasadatascientisttouseRinRstudiotododatascience,analyticsandmachinelearning. YouwilllearnhowtoapplythetidyversestackfromRstudio,howtocreateinteractiveMLdashboardswithShinyaswellashowtointegrateRwithdatabases,Sparkandtheh2omachinelearningtooling.
23-24March
2122June
1 2 November
MachineLearningforDataScience3days/1.795,-
Inthistraining,wewillshowyouthebasicsofmachinelearningandhowtoapplymachinelearningtechniquestoreal-worldusecases.Youllgainhands-onexperienceintopicslikeregression,classification,andclustering.Youwilllearnhowtodocross- validation and model tuning as well as feature engineering and datapreparation.
6-8March
20-22December
DataScienceAcceleratorProgram10days/6.000,-
Datascientistsarentanice-to-haveanymore,theyareamust-have.UpuntilnowtherewasnotacleardefinitionofwhataDataScientistisexactly.Tocreateabenchmarkfordatascientists,GoDataDrivendevelopedtheDataScienceAcceleratorProgram,thebestwaytoassessDataScience skillsandtakethemtothenextlevel.
Bycombiningin-depthlectureswithhands-onhackathons,theDataScienceAcceleratorProgramdeliversexcellentdatascientistswhocantransitionorganizationsintoDataDrivenenterprises.
ThepublicDataScienceprogramconsistsof10fulltraining daysconsistingof5corelecturesand5hackathonsand spans5months.Everymonthonedaytrainingandonedayhackathontakeplace.
TheprogramnotonlyfocusesonsharingDataScienceknowledgebutalsoonsharingdevelopmentbest-practicesbasedonyearsofhands-onexperiencewiththeimplementationofDataScienceapplicationswithinorganizationsinmanyindustries.
Aftercompletingthe10-dayprogram,youhaveathoroughunderstandingof:1. Howtoworkwiththeprobabilitystack2. Simplemodeling3. Complexmodeling4. Howtoworkwithnon-traditionaldataandfeatures5. Howtoworkwithtimeseries6. Youllgainhands-onexperiencein:7. Webdevelopment(FlaskandPandasasbackend)8. Buildingandautomatelinearmodels9. BuildingaheuristicTSPsolver10.UsingtoolsandtechnologyincludingHadoop,Spark,R,Python,Elastic,Neo4j,Scala,Cassandra,D3,Riak,andStorm11.DevelopingvarioustypesofDataSciencemodels12.Codereviewingyourautomationfornonlinearmodels13.BuildingamethodthatoutperformsRandomForests
16 May / Day1Training:ProbabilityStack
30 May / Day 2 Hackathon:Solvemultiarmedbanditproblems
13or20June/Day3Training:MachineLearning
27 June or 4 July / Day 4 Hackathon:Createapredictivemodel,wrapitinanAPIandputitintoproduction
5September/Day5Training:Ensembles&NeuralNetworks
19 September / Day 6 Hackathon:ProvisionaservertotrainNeuralNetworks
3 October / Day 7 Training:SignalProcessingfor MachineLearning
31 October / Day 8 Hackathon:Buildimageprocessingmodels
14 November / Day9Training:Timeseries
28 November / Day10Hackathon:Predictanoptimalportfolioforthestockmarket
*NextDataScienceAcceleratorProgramwilstartNovember2017.
Alltrainingisincludingmaterials,unlessspecifieddifferently.Lunchisprovidedandrefreshmentsandsnacksareavailablethroughouttheday

training data science 2017 - godatadriven · pdf file– godatadriven has been actively...

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