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Foundations of Data Science · LearnSpace
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Foundations of Data Science

Курс от Google
Продвинутый≈ 19.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This is the first course in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Describe the functions of data analytics and data science within an organization -Identify tools used by data professionals -Explore the value of data-based roles in organizations -Investigate career opportunities for a data professional -Explain a data project workflow -Develop effective communication skills

Навыки, которые вы освоите

Data AnalysisMachine LearningCommunicationData ScienceProject ManagementStakeholder CommunicationsBusiness SolutionsProcess DesignData StorytellingData EthicsTechnical CommunicationAnalytical SkillsData-Driven Decision-MakingAdvanced AnalyticsWorkflow ManagementAnalytics

Программа курса

5 модулей · 107 учебных материалов

01Introduction to data science concepts19 материалов

Get started with the certificate program

Welcome to the Google Advanced Data Analytics CertificateВидеоGoogle Advanced Data Analytics Certificate overviewЧтениеCourse 1 overviewЧтениеIntroduction to Course 1Видео

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Преподаватель курса

Foundations of Data Science
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Обучение на Coursera

≈ 19.8 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Турецкий, Испанский, Японский

Часть программы вашего университета
Pursue your Google Advanced Data Analytics CertificateВидео
Helpful resources and tipsЧтение
Reflection: Your advanced data analytics journeyЗадание

Careers in data science

Welcome to module 1ВидеоData discourse over the yearsЧтениеExplore your data toolboxВидеоPrepare to assess your readiness for the Google Advanced Data Analytics CertificateЧтениеAssess your readiness for the Advanced Analytics Data CertificateЗаданиеUnderstand your readiness scoreЧтение

Program plan and expectations

Wrap-upВидеоLois-An: Navigate your data career with curiosityВидеоConnect with other learnersЧтение

Review: Introduction to data science concepts

Prepare for your first assessment ВидеоGlossary terms from module 1ЧтениеModule 1 challengeЗадание
02The impact of data today26 материалов

Data-driven careers

Welcome to module 2ВидеоAdrian: Create a data-driven business solutionВидеоData-driven careers drive modern businessВидеоProfiles of data professionals ЧтениеWhere data makes a difference for the futureЧтениеLeverage data analysis in nonprofitsВидеоExplore: The data career neighborhoodPLUGIN[Turkish learners ONLY] Explore: The data career neighborhood - TürkçePLUGINGet learning assistance with Google AI Pro at no costЧтениеRedeem Your Google AI Pro TrialВнешний инструментTest your knowledge: Data-driven careersЗадание

Data career skills

The top skills needed for a data career ВидеоIdeal qualities for data analytics professionalsЧтениеVolunteer data skills to make a positive impact ЧтениеImportant ethical considerations for data professionalsВидеоCritical data security and privacy principlesЧтениеThe practices and principles of good data stewardshipЧтение

Work in the field

The data professional career spaceВидеоBuild the perfect data teamЧтениеActivity: Organize your data teamЗаданиеActivity Exemplar: Organize your data teamЧтениеTest your knowledge: Work in the fieldЗадание

Review: The impact of data today

Wrap-upВидеоGlossary terms from module 2ЧтениеModule 2 challengeЗадание
03Your career as a data professional 11 материалов

Trajectory of the Field

Welcome to module 3ВидеоCassie: A lifelong love of dataВидеоThe future of data careersВидеоCurrent and future toolsЧтениеHow data professionals use AIЧтениеActivity: Write prompts for GeminiЗаданиеThe places you’ll go… ЧтениеTest your knowledge: Trajectory of the fieldЗадание

Review: Your career as a data professional

Wrap-upВидеоGlossary terms from module 3ЧтениеModule 3 challengeЗадание
04Data applications and workflow24 материалов

The data project workflow

Welcome to module 4ВидеоHautahi: Importance of communication in a data science careerВидеоIntroduction to PACEВидеоThe PACE StagesЧтениеCategorize: PACE workflow tasksPLUGIN[Turkish learners ONLY] Categorize: PACE workflow tasks - TürkçePLUGINTest your knowledge: The data project workflow Задание

Elements of communication

Key elements of communicationВидеоBest communication practices for data professionalsЧтениеActivity: Communicate with stakeholders in different rolesЗаданиеActivity Exemplar: Communicate with stakeholders in different rolesЧтениеCommunication drives PACEВидеоElements of successful communicationЧтение

Communicate like a data professional

Connect PACE with upcoming course themesВидеоThe value of the PACE strategy document ЧтениеCommunicate objectives with a project proposalЧтениеConnect PACE with executive summariesЧтениеActivity: Create a project proposal ЗаданиеActivity Exemplar: Create a project proposalЧтение

Review: Data applications and workflow

Wrap-upВидеоGlossary terms from module 4ЧтениеModule 4 challengeЗадание
05Course 1 end-of-course project27 материалов

Begin building a portfolio to impress

The value of a portfolioВидеоWelcome to module 5ВидеоIntroduction to your Course 1 end-of-course portfolio projectВидеоReview pandasЧтениеEnd-of-course portfolio project introductionЧтениеExplore your Course 1 workplace scenariosЧтение

Automatidata scenario

Course 1 end-of-course portfolio project overview: AutomatidataЧтениеActivity: Create your Course 1 Automatidata project ЗаданиеActivity: Course 1 Automatidata project labЛабораторнаяActivity Exemplar: Create your Course 1 Automatidata projectЧтениеExemplar: Course 1 Automatidata project labЛабораторная

TikTok scenario

Course 1 end-of-course portfolio project overview: TikTokЧтениеActivity: Create your Course 1 TikTok project ЗаданиеActivity: Course 1 TikTok project labЛабораторнаяActivity Exemplar: Create your Course 1 TikTok projectЧтениеExemplar: Course 1 TikTok project labЛабораторная

Waze scenario

Course 1 end-of-course portfolio project overview: WazeЧтениеActivity: Create your Course 1 Waze project ЗаданиеActivity: Course 1 Waze project labЛабораторнаяActivity Exemplar: Create your Course 1 Waze projectЧтениеExemplar: Course 1 Waze project labЛабораторная

End-of-course portfolio project wrap-up

End-of-course project wrap-up and tips for ongoing career successВидеоAssess your Course 1 end-of-course projectЗаданиеCourse 1 glossaryЧтение

Course review: Foundations of Data Science

Join the communityЧтениеCourse wrap-upВидеоGet started on the next courseЧтение
Test your knowledge: Data career skillsЗадание
Test your knowledge: Elements of communicationЗадание
Test your knowledge: Communicate like a data professionalЗадание