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Ini adalah materi keenam dalam program Google Data Analytics Certificate (Sertifikat Analitik Data Google). Materi ini akan membekali Anda dengan keterampilan yang Anda butuhkan untuk melamar pekerjaan analis data tingkat pemula. Anda akan belajar bagaimana memvisualisasikan dan menyajikan temuan data saat Anda menyelesaikan proses analisis data. Materi ini akan menunjukkan kepada Anda bagaimana visualisasi data, seperti dasbor visual, dapat membuat data Anda lebih hidup. Anda juga akan mengeksplorasi Tableau, platform visualisasi data yang akan membantu membuat visualisasi yang efektif untuk presentasi Anda. Para analis data Google akan mengajarkan dan memberi tahu Anda berbagai cara untuk menyelesaikan tugas umum analis data dengan menggunakan peralatan dan sumber daya terbaik.

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Ini adalah materi keenam dalam program Google Data Analytics Certificate (Sertifikat Analitik Data Google). Materi ini akan membekali Anda dengan keterampilan yang Anda butuhkan untuk melamar pekerjaan analis data tingkat pemula. Anda akan belajar bagaimana memvisualisasikan dan menyajikan temuan data saat Anda menyelesaikan proses analisis data. Materi ini akan menunjukkan kepada Anda bagaimana visualisasi data, seperti dasbor visual, dapat membuat data Anda lebih hidup. Anda juga akan mengeksplorasi Tableau, platform visualisasi data yang akan membantu membuat visualisasi yang efektif untuk presentasi Anda. Para analis data Google akan mengajarkan dan memberi tahu Anda berbagai cara untuk menyelesaikan tugas umum analis data dengan menggunakan peralatan dan sumber daya terbaik.

Pembelajar yang menyelesaikan program sertifikasi ini akan memiliki bekal yang cukup untuk melamar kerja sebagai analis data tingkat pemula. Tidak membutuhkan pengalaman apa pun.

Di akhir materi ini, Anda akan:

- Mengkaji pentingnya visualisasi data.

- Mempelajari cara menyusun narasi yang menarik melalui cerita tentang

data.

- Mendapatkan pemahaman tentang cara menggunakan Tableau untuk

membuat dasbor dan filter dasbor.

- Mempelajari cara menggunakan Tableau untuk membuat visualisasi

yang efektif.

- Mengeksplorasi prinsip dan praktik terkait presentasi yang efektif.

- Mempelajari cara mempertimbangkan keterbatasan yang mungkin

terkait dengan data dalam presentasi Anda.

- Memahami cara menerapkan praktik terbaik ketika melakukan Tanya

Jawab dengan audiens Anda.

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What's inside

Syllabus

Memvisualisasikan data
Visualisasi data adalah representasi grafis dari data. Di bagian materi ini, Anda akan diperkenalkan dengan konsep-konsep penting, termasuk aksesibilitas, design thinking (pemikiran desain), dan faktor-faktor lain yang berperan dalam memvisualisasikan data di analisis Anda.
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Membuat visualisasi data menggunakan Tableau
Tableau adalah alat yang membantu para analis data membuat visualisasi data yang efektif. Di bagian materi ini, Anda akan mempelajari semua hal tentang Tableau dan mengeksplorasi pentingnya kreativitas dan kejelasan ketika memvisualisasikan hasil analisis data Anda.
Merangkai cerita data
Menghubungkan tujuan Anda dengan data Anda melalui wawasan merupakan hal yang sangat penting untuk penceritaan data yang baik. Di bagian materi ini, Anda akan belajar tentang cerita berdasarkan data dan atributnya. Anda juga akan memperoleh pemahaman tentang cara menggunakan Tableau untuk membuat dasbor dan filter dasbor.
Mengembangkan presentasi dan slideshow
Pada bagian materi ini, Anda akan menemukan cara memberikan presentasi yang efektif tentang analisis data. Anda akan mempertimbangkan semua aspek analisis saat membuat presentasi, serta cara membuat visualisasi data yang jelas, mudah diakses, dan meyakinkan. Selain itu, Anda akan belajar bagaimana mengantisipasi dan menanggapi potensi keterbatasan dan pertanyaan yang mungkin muncul.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Mengembangkan visualisasi data dan cerita data, yang merupakan keterampilan inti untuk analis data tingkat pemula
Mengajarkan praktik terbaik dalam Tanya Jawab untuk presentasi dan komunikasi efektif
Menggunakan Tableau, platform visualisasi data yang diakui di industri
Diajarkan oleh para analis data Google, yang merupakan pakar di bidangnya
Tidak memerlukan pengalaman sebelumnya, sehingga cocok untuk pemula
Membahas keterbatasan potensial yang terkait dengan data, sehingga membekali siswa dengan pemahaman yang menyeluruh

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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 Berbagi Data Melalui Seni Visualisasi with these activities:
Kompilasi Materi Kursus
Mengompilasi materi kursus akan membantu Anda mengatur dan meninjau materi untuk meningkatkan retensi.
Show steps
  • Kumpulkan semua catatan kuliah, tugas, dan materi lain yang relevan
  • Atur materi ke dalam folder atau notebook
  • Tambahkan catatan tambahan atau ringkasan untuk memperjelas konsep
  • Tinjau materi secara teratur untuk memperkuat pemahaman
Ikuti Tutorial Tableau
Mengikuti tutorial Tableau akan memberikan Anda pemahaman yang lebih mendalam tentang fitur dan kapabilitas alat ini.
Browse courses on Tableau
Show steps
  • Cari tutorial Tableau online atau di platform pembelajaran
  • Pilih tutorial yang sesuai dengan tingkat keterampilan dan tujuan pembelajaran
  • Ikuti langkah-langkah tutorial secara seksama
  • Latih menggunakan fitur Tableau yang dibahas dalam tutorial
Jelajahi tutorial tentang Tableau
Mengikuti tutorial Tableau akan membantu Anda mengembangkan keterampilan menggunakan alat ini dan memperkuat pemahaman Anda tentang visualisasi data.
Browse courses on Tableau
Show steps
  • Cari tutorial tentang fitur dan fungsi Tableau.
  • Tonton tutorial dan praktikkan menggunakan Tableau.
Two other activities
Expand to see all activities and additional details
Show all five activities
Latihan Visualisasi Data
Melatih keterampilan memvisualisasikan data akan meningkatkan kemampuan Anda dalam mengkomunikasikan temuan data secara efektif.
Browse courses on Tableau
Show steps
  • Kumpulkan data dari berbagai sumber
  • Tentukan jenis visualisasi data yang sesuai dengan data dan tujuan
  • Buat visualisasi data menggunakan Tableau
  • Evaluasi efektivitas visualisasi data
Buat dasbor Tableau
Membuat dasbor Tableau akan memaksa Anda menerapkan keterampilan visualisasi data dan pemahaman Tableau Anda.
Browse courses on Tableau
Show steps
  • Kumpulkan data yang ingin Anda visualisasikan.
  • Impor data ke Tableau.
  • Buat dasbor menggunakan visualisasi dan filter.

Career center

Learners who complete Berbagi Data Melalui Seni Visualisasi will develop knowledge and skills that may be useful to these careers:
Data Analyst
**Data Analysts** leverage data to draw meaningful insights that inform business decisions. This course is directly relevant to those pursuing this career path, as it teaches essential skills for data analysis including data visualization and presentation. By completing this course, you will gain proficiency in using Tableau and other tools to create compelling data visualizations that can effectively communicate insights to stakeholders.
Data Scientist
**Data Scientists** uncover patterns and trends in data to solve complex problems. This course provides a solid foundation for those aspiring to become Data Scientists, as it covers the principles of data visualization, which is critical for communicating insights effectively. By mastering these techniques, you will be well-equipped to present data-driven recommendations to stakeholders, a crucial skill for success in this field.
Data Visualization Engineer
**Data Visualization Engineers** specialize in creating interactive and visually appealing data visualizations. This course is highly relevant to this role, as it provides a comprehensive understanding of data visualization principles and techniques. By mastering these skills, you will be well-equipped to design and develop data visualizations that effectively communicate insights and drive decision-making.
Business Analyst
**Business Analysts** bridge the gap between business and technology by translating business requirements into technical solutions. This course is highly relevant to this role, as effective data visualization is essential for communicating complex information to non-technical stakeholders. By taking this course, you will gain the skills needed to present data in a clear and actionable manner, which is highly valued in this field.
Data Engineer
**Data Engineers** design, build, and maintain data systems and infrastructure. While this course may not directly align with the technical aspects of Data Engineering, it can be beneficial for those seeking to understand the broader context of data analysis and visualization. By completing this course, you will gain insights into how data is presented and consumed, which can be valuable when designing data systems that support effective data visualization.
Marketing Analyst
**Marketing Analysts** analyze data to measure the effectiveness of marketing campaigns and make recommendations for improvement. This course may be helpful for those pursuing this career path, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate marketing performance and identify areas for optimization.
Financial Analyst
**Financial Analysts** use data to make investment decisions and provide financial advice. This course may be beneficial for those seeking to enter this field, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate financial performance and identify investment opportunities.
Product Manager
**Product Managers** oversee the development and launch of new products. This course may be helpful for those pursuing this career path, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate product performance and identify areas for improvement.
User Experience (UX) Designer
**User Experience (UX) Designers** focus on enhancing the user experience of digital products and services. This course may be beneficial for those pursuing this career path, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate user behavior and identify areas for improvement.
Information Architect
**Information Architects** design and organize information systems to ensure that users can easily find and access the information they need. This course may be beneficial for those pursuing this career path, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate information architecture and identify areas for improvement.
Statistician
**Statisticians** collect, analyze, interpret, and present data. This course may be helpful for those pursuing this career path, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate statistical findings and identify trends.
Actuary
**Actuaries** use mathematical and statistical techniques to assess risk and uncertainty. This course may be beneficial for those seeking to enter this field, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate risk assessments and identify potential financial impacts.
Epidemiologist
**Epidemiologists** investigate the causes and patterns of disease. This course may be beneficial for those pursuing this career path, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate epidemiological data and identify risk factors.
Biostatistician
**Biostatisticians** apply statistical methods to solve problems in biology and medicine. This course may be beneficial for those seeking to enter this field, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate biological and medical data and identify patterns.
Data Journalist
**Data Journalists** use data to tell stories and communicate complex information to the public. This course may be helpful for those seeking to enter this field, as it provides a foundation in data analysis and visualization. By completing this course, you will gain proficiency in using Tableau to create data visualizations that can effectively communicate data-driven stories and engage audiences.

Reading list

We've selected 12 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 Berbagi Data Melalui Seni Visualisasi.
Provides a comprehensive overview of data visualization principles and best practices, covering topics such as data storytelling, visual perception, and design aesthetics. It valuable resource for anyone looking to improve their data visualization skills.
This classic work by Edward Tufte seminal text on the principles of data visualization. It provides a comprehensive overview of graphical techniques for presenting data effectively and engagingly.
Explores the principles and best practices of dashboard design, emphasizing the importance of creating visually clear and actionable dashboards. It valuable resource for anyone involved in the design and development of data dashboards.
Provides a critical perspective on data visualization, highlighting the importance of accuracy, clarity, and honesty in visual representations of data. It thought-provoking read for anyone interested in the ethical and responsible use of data visualization.
Provides a collection of recipes for creating various types of data visualizations using the R programming language. It useful resource for those who want to create custom visualizations or explore advanced data visualization techniques.
Guide to storytelling with data. It covers the basics of storytelling, such as how to identify a story and create a narrative. It also provides tips on how to use data to support your story.
Practical guide to data visualization. It covers the basics of data visualization, such as choosing the right chart type and creating effective visuals. It also provides tips on how to present data in a clear and concise way.
Provides a comprehensive and accessible introduction to data visualization, covering topics such as visual perception, data types, and visualization techniques. It good resource for beginners who want to learn the fundamentals of data visualization.
Practical guide to data visualization. It covers the basics of data visualization, such as choosing the right chart type and creating effective visuals. It also provides tips on how to present data in a clear and concise way.
Examines the broader societal implications of data visualization. It explores topics such as the ethics of data visualization, the role of visualization in decision-making, and the impact of visualization on public discourse.

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