Overview - Data Analysis Workshop SeriesSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT
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Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWIntroduction to Data Analysisfor Aspiring Data ScientistsOverviewIntroduction to PythonData Analysis with pandasIntroduction to Apache SparkOverviewJoin us for a four-part learning series: Introduction to Data Analysis for Aspiring Data Scientists. This self-paced online workshop series is for anyone and everyone interested in learning about data analysis. No previous programming experience required.Each workshop page contains the session video recording, transcripts, speaker info, and a GitHub link to access the notebooks and resources. We suggest you start with Part One, Introduction to Python, and continue from there in order because each workshop builds upon the last.If you’d like to follow along, please Sign Up for your free Community Edition account or download the Delta Lake library.Sign up for Community editionIntroduction to PythonIn this workshop, we will show you the simple steps needed to program in Python using a notebook environment on the free Databricks Community Edition.This workshop covers major foundational concepts necessary for you to start coding in Python, with a focus on data analysis. No prior programming knowledge is required.Watch videoData Analysis with PandasThis workshop is on pandas, a powerful open-source Python package for data analysis and manipulation. In this workshop, you will learn how to read data, compute summary statistics, check data distributions, conduct basic data cleaning and transformation, and plot simple visualizations. Although no prep work is required, we do recommend basic python knowledge. Watch Part One, Introduction to Python to learn about Python.Watch videoIntroduction to Apache SparkThis workshop covers the fundamentals of Apache Spark, the most popular big data processing engine. In this workshop, you will learn how to ingest data with Spark, analyze the Spark UI, and gain a better understanding of distributed computing. No prior knowledge of Spark is required, but Python experience is highly recommended.Watch videoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers
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