The job market for computer engineers is constantly growing and Computer Science students have greater chances of being professionally employed. Majoring in this field can lead to lucrative careers that will remain in high demand. Upskill your game by learning the same. This course starts from the very basic and then covers the advanced topics. Assignments are given for practice and test your current understanding. Hope you will learn a lot from this course. Topics covered: Section 1: Google FormsGoogle FormsSection 2: MS ExcelIntroductionFormattingFormulas and FunctionsSection 3: Power BI BasicsGetting started with Power BI DesktopSection 4: Google DriveGoogle DriveSection 5: Digital MarketingIntroductionMarketing FunnelSearch Engine Optimization (SEO)How Search Engine worksWhat a website is made of! Keyword ResearchOn-page and Off-page OptimizationWhy Email marketingEmail marketing SystemLinkedIn Profile OptimizationIncrease your Reach on LinkedInOnline AdvertisementsGoogle Ads - Search EnginesWeb AnalyticsGoogle AnalyticsSection 6: Graphics DesigningIllustrator BasicsSection 7: HTMLIntroductionEditorsBasic Structure, Tags and AttributesFormattingImagesLinksAnchorsListTableFormsSection 8: CSSIntroductionSyntaxClass and IDBackground propertiesFont and Text propertiesLink statesBorder propertiesList propertiesBox ModelFloat propertyCursorMedia queryPracticeProjectSection 9: JavascriptBasics of ProgrammingIntroduction - JSWays of LinkingVariablesData TypesArraysFunctionsObjects and ClassesCommentsArray MethodsCondition - If and ElseLoops - ForDebuggingBest Coding PracticesCommon mistakesPracticeSection 10: BootstrapIntroductionWhere to get BootstrapContainerGrid SystemTablesButtonsPracticeSection 11: WordPressWordpress.org Vs Wordpress. comSection 12: Cyber SecurityMeaning and ImportanceCIA TriadCommon types of Security ThreatsCybersecurity practicesTypes of HackersSection 13: Data ScienceCommon mythsWhat is Data Science and Big DataApplicationsStepsCommon terminologiesTypes of Data AnalyticsPredictive ProblemsTypes of Machine Learning ModelsSupervised Machine Learning ModelsUnsupervised Machine Learning ModelsCommon technologies usedSection 14: Database Management System (DBMS)MeaningSQL BasicsSELECTWHEREORDER BYINSERT INTOUPDATEDELETEJOINSStored ProceduresSection 15: Data structure BasicsMeaningArraysLinked ListStackQueueTreeGraphSection 16: Video Editing BasicsiMovie BasicsAdobe Premiere Pro BasicsSection 17: BlockchainMeaning of BlockchainSkills requiredSection 18: Project Management MethodologiesCommon methodologiesThe job market for computer engineers is constantly growing and Computer Science students have greater chances of being professionally employed.
