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Dies ist der erste Kurs im Google Data Analytics Certificate. In diesen Kursen lernen Sie alles, was Sie für eine Einstiegsposition in der Datenanalyse benötigen. Unternehmen aller Art benötigen Fachleute für Datenanalyse, die ihnen helfen, Prozesse zu verbessern, Chancen und Trends zu erkennen, neue Produkte auf den Markt zu bringen und durchdachte Entscheidungen zu treffen. In diesem Kurs werden Sie anhand eines von Google entwickelten praxisorientierten Lehrplans in die Welt von Data Analytics eingeführt. Das Material deckt viele wichtige Themen der Data Analytics ab und soll Ihnen einen Überblick über das Google Data Analytics Certificate geben. Momentan bei Google tätige Fachleute für Datenanalyse werden Sie anleiten und Ihnen praktische Möglichkeiten zeigen, mit denen Sie die gängigen Aufgaben von Fachleuten für Datenanalyse mithilfe der besten Tools und Ressourcen erledigen können.

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Dies ist der erste Kurs im Google Data Analytics Certificate. In diesen Kursen lernen Sie alles, was Sie für eine Einstiegsposition in der Datenanalyse benötigen. Unternehmen aller Art benötigen Fachleute für Datenanalyse, die ihnen helfen, Prozesse zu verbessern, Chancen und Trends zu erkennen, neue Produkte auf den Markt zu bringen und durchdachte Entscheidungen zu treffen. In diesem Kurs werden Sie anhand eines von Google entwickelten praxisorientierten Lehrplans in die Welt von Data Analytics eingeführt. Das Material deckt viele wichtige Themen der Data Analytics ab und soll Ihnen einen Überblick über das Google Data Analytics Certificate geben. Momentan bei Google tätige Fachleute für Datenanalyse werden Sie anleiten und Ihnen praktische Möglichkeiten zeigen, mit denen Sie die gängigen Aufgaben von Fachleuten für Datenanalyse mithilfe der besten Tools und Ressourcen erledigen können.

Lernende, die dieses Zertifikatsprogramm abschließen, können sich auf Einstiegspositionen in der Datenanalyse bewerben. Es sind keine Vorkenntnisse erforderlich.

Nach Abschluss dieses Kurses können Sie:

- Praktiken und Prozesse überblicken, die im Arbeitsalltag in Junior- oder Associate-Positionen in der Datenanalyse verwendet werden

- wichtige analytische Fähigkeiten (Datenbereinigung, Datenanalyse, Datenvisualisierung) und Tools (Tabellenkalkulationen, SQL, R-Programmierung, Tableau) anwenden, die Sie Ihrer professionellen Toolbox hinzufügen können

- zahlreiche Begriffe und Konzepte kennen, die für die Rolle von Junior-Fachleuten für Datenanalyse relevant sind, wie z. B. der Datenlebenszyklus und der Datenanalyseprozess

- die Rolle von Analytics im Datenökosystem bewerten

- eine Selbsteinschätzung Ihres analytischen Denkens durchführen

- Stellenangebote erkunden, die Ihnen nach Abschluss des Programms zur Verfügung stehen, und mehr über bewährte Verfahren bei der Stellensuche erfahren

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What's inside

Syllabus

Einführung in Data Analytics
Mithilfe von Daten können wir im Alltag und im Beruf Entscheidungen treffen. In diesem ersten Teil des Kurses erfahren Sie, wie Datenanalysten mit Data Analytics und einschlägigen Tools und Werkzeugen diese Entscheidungen mit Daten untermauern können. Außerdem erfahren Sie mehr über diesen Kurs und die allgemeinen Programmerwartungen.
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Alles über analytisches Denken
Die Arbeit von Fachkräften für Datenanalyse vereint zahlreiche Rollen. In diesem Teil des Kurses lernen Sie einige davon sowie die erforderlichen Schlüsselqualifikationen für Analysefachkräfte kennen. Sie werden auch analytisches Denken und seinen Bezug zur datengesteuerten Entscheidungsfindung erforschen.
Die wunderbare Welt der Daten
Daten haben ihren eigenen Lebenszyklus, und die Arbeit von Fachkräften für Datenanalyse kreuzt sich oft mit diesem Zyklus. In diesem Teil des Kurses erfahren Sie, in welchem Zusammenhang der Datenlebenszyklus und die Arbeit der Fachkräfte für Datenanalyse mit Ihrem Fortschritt in diesem Programm stehen. Sie werden auch in Anwendungen eingeführt, die im Datenanalyseprozess verwendet werden.
Toolbox einrichten
Wie Sie bereits wissen, sind Tabellenkalkulationen, Abfragesprachen und Datenvisualisierungstools wichtige Bestandteile der Arbeit von Fachkräften für Datenanalyse. In diesem Teil des Kurses erfahren Sie mehr über die grundlegenden Konzepte und lernen einige Beispiele für die Funktionsweise dieser Tools kennen.
Unendliche Karrieremöglichkeiten
Unternehmen aller Art schätzen die Arbeit von Fachkräften für Datenanalyse. In diesem Teil des Kurses erfahren Sie mehr über diese Unternehmen und die spezifischen Jobs und Aufgaben, die Analysefachkräfte für sie ausführen. Sie erfahren auch, wie Sie mit Ihrem Datenanalyse-Zertifikat viele der Anforderungen für eine Position bei diesen Unternehmen erfüllen können.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Der Kurs vermittelt analytisches Denken, was für die datengestützte Entscheidungsfindung von entscheidender Bedeutung ist
Der Kurs richtet sich an Einsteiger, die in die Datenanalyse einsteigen möchten
Der Kurs wird von Fachleuten für Datenanalyse von Google unterrichtet, die praktische Einblicke in die Branche bieten
Der Kurs behandelt wichtige Themen der Datenanalyse, die für Einsteiger in diesem Bereich relevant sind
Nach Abschluss des Kurses können die Teilnehmer grundlegende analytische Fähigkeiten wie Datenbereinigung, -analyse und -visualisierung anwenden
Der Kurs bietet eine Selbsteinschätzung des analytischen Denkens, mit der die Teilnehmer ihre Stärken und Schwächen in diesem Bereich identifizieren können

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Grundlagen: Daten, überall Daten with these activities:
Üben Sie SQL-Abfragen
Dies hilft Ihnen, Ihre SQL-Kenntnisse aufzufrischen und sich auf den Kurs vorzubereiten.
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  • Überprüfen Sie die grundlegenden SQL-Konzepte wie SELECT, FROM, WHERE und GROUP BY.
  • Üben Sie das Schreiben von Abfragen, um Daten aus Tabellen abzurufen.
  • Üben Sie das Schreiben von Abfragen, um Daten in Tabellen zu aktualisieren und zu löschen.
Show all one activities

Career center

Learners who complete Grundlagen: Daten, überall Daten will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts empower businesses with data to make informed decisions. This course covers practices used in the day-to-day work of entry-level Data Analysts. The syllabus emphasizes the skills, tools, and concepts needed to thrive in this role, including data cleaning, analysis, and visualization. Whether you're looking to break into the field or advance your career, this course can help you build a solid foundation.
Data Scientist
Data Scientists are responsible for extracting insights from data. This course provides an introduction to the field, covering key concepts and tools used by Data Scientists. You'll learn about data analysis, visualization, and programming, which are essential skills for success in this role. With its emphasis on practical applications, this course can help you prepare for a career as a Data Scientist.
Business Analyst
Business Analysts are responsible for analyzing business data to identify opportunities and solve problems. This course covers the core skills needed to succeed in this role, including data analysis, visualization, and communication. You'll also learn about business concepts and how to apply data to make better decisions. If you're looking to become a Business Analyst, this course can provide you with the foundation you need.
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior. This course covers the methods and tools used in market research, including data collection, analysis, and interpretation. You'll also learn about the different types of market research and how to apply research findings to make better business decisions. If you're interested in a career in market research, this course can help you develop the skills you need.
Operations Analyst
Operations Analysts are responsible for analyzing and improving business operations. This course covers the tools and techniques used by Operations Analysts, including data analysis, process mapping, and simulation. You'll also learn about the different types of business operations and how to apply data to improve efficiency and productivity. If you're looking to become an Operations Analyst, this course can help you develop the skills you need.
Risk Analyst
Risk Analysts are responsible for identifying and assessing risks to a business. This course covers the methods and tools used in risk analysis, including data analysis, modeling, and simulation. You'll also learn about the different types of risks that businesses face and how to develop strategies to mitigate those risks. If you're interested in a career in risk analysis, this course can help you develop the skills you need.
Financial Analyst
Financial Analysts are responsible for analyzing financial data to make investment recommendations. This course covers the methods and tools used in financial analysis, including data analysis, modeling, and valuation. You'll also learn about the different types of financial instruments and how to use data to make sound investment decisions. If you're interested in a career in financial analysis, this course can help you develop the skills you need.
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. This course covers the tools and technologies used by Data Engineers, including databases, data warehouses, and big data platforms. You'll also learn about the different types of data engineering tasks and how to design and implement data pipelines. If you're interested in a career in data engineering, this course can help you develop the skills you need.
Data Architect
Data Architects are responsible for designing and managing the data architecture of an organization. This course covers the concepts and principles of data architecture, including data modeling, data integration, and data governance. You'll also learn about the different tools and technologies used in data architecture and how to design and implement data solutions that meet the needs of an organization. If you're interested in a career in data architecture, this course can help you develop the skills you need.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course covers the basics of software engineering, including programming, data structures, and algorithms. You'll also learn about the different types of software engineering roles and how to develop software that meets the needs of users. If you're interested in a career in software engineering, this course can help you develop the skills you need.
IT Manager
IT Managers are responsible for planning, implementing, and managing an organization's IT infrastructure. This course covers the key concepts of IT management, including IT strategy, IT budgeting, and IT risk management. You'll also learn about the different types of IT management roles and how to develop and manage an IT team. If you're interested in a career in IT management, this course can help you develop the skills you need.
Operations Manager
Operations Managers are responsible for planning, implementing, and managing the operations of an organization. This course covers the key concepts of operations management, including operations strategy, operations planning, and operations control. You'll also learn about the different types of operations management roles and how to develop and manage an operations team. If you're interested in a career in operations management, this course can help you develop the skills you need.
Project Manager
Project Managers are responsible for planning, implementing, and managing projects. This course covers the key concepts of project management, including project planning, project scheduling, and project risk management. You'll also learn about the different types of project management roles and how to develop and manage a project team. If you're interested in a career in project management, this course can help you develop the skills you need.
Business Development Manager
Business Development Managers are responsible for developing and managing relationships with customers. This course covers the key concepts of business development, including business development strategy, business development planning, and business development execution. You'll also learn about the different types of business development roles and how to develop and manage a business development team. If you're interested in a career in business development, this course can help you develop the skills you need.
Sales Manager
Sales Managers are responsible for planning, implementing, and managing sales operations. This course covers the key concepts of sales management, including sales strategy, sales planning, and sales execution. You'll also learn about the different types of sales management roles and how to develop and manage a sales team. If you're interested in a career in sales management, this course can help you develop the skills you need.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Grundlagen: Daten, überall Daten.
Provides a comprehensive overview of data analytics concepts and techniques, with a focus on business applications. It good choice for those who want to learn how to use data analytics to make better business decisions.
Provides a comprehensive overview of data science concepts and techniques, with a focus on business applications. It good choice for those who want to learn how to use data science to solve business problems.
Provides a comprehensive overview of statistical methods for data analytics, covering topics such as descriptive statistics, inferential statistics, and regression analysis. It good choice for those who want to learn how to use statistical methods to analyze data.
Provides a comprehensive overview of big data analytics concepts and techniques, covering topics such as big data architectures, big data processing, and big data analytics tools. It good choice for those who want to learn how to use big data analytics to solve business problems.
Provides a comprehensive overview of data ethics concepts and principles, with a focus on data analytics applications. It good choice for those who want to learn how to use data analytics ethically and responsibly.
Provides a comprehensive overview of data analytics concepts and techniques, with a focus on real-world applications. It good choice for those who want to learn how to use data analytics to solve business problems.
Provides a comprehensive overview of data analytics concepts and techniques, making it a valuable resource for beginners in the field.
Teaches readers how to use machine learning for data analytics, covering topics such as supervised learning, unsupervised learning, and model evaluation. It good choice for those who want to learn how to use machine learning to solve data analytics problems.
Provides a comprehensive overview of data analytics concepts and techniques, written in a clear and concise manner. It good choice for those who want to learn about data analytics quickly and easily.
Practical guide to data analytics, covering topics such as data cleaning, data analysis, and data visualization. It good choice for those who want to learn the basics of data analytics quickly and easily.
Teaches readers how to use data visualization for data analytics, covering topics such as data visualization techniques, data visualization tools, and data visualization best practices. It good choice for those who want to learn how to use data visualization to communicate data insights effectively.
Teaches readers how to use Python for data analysis, covering topics such as data cleaning, data analysis, and data visualization. It good choice for those who are familiar with Python and want to learn how to use it for data analytics.
Teaches readers how to use R for data analysis, covering topics such as data cleaning, data analysis, and data visualization. It good choice for those who are familiar with R and want to learn how to use it for data analytics.
Teaches readers how to use cloud computing for data analytics, covering topics such as cloud computing architectures, cloud computing services, and cloud computing tools. It good choice for those who want to learn how to use cloud computing to solve data analytics problems.
Teaches readers how to use Excel for data analysis, covering topics such as data cleaning, data analysis, and data visualization. It good choice for those who are familiar with Excel and want to learn how to use it for data analytics.

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