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Ini adalah materi kedua dalam program Sertifikat Analitik Data Google (Google Data Analytics Certificate). Materi ini akan memberi Anda keterampilan yang dibutuhkan untuk melamar pekerjaan analis data tingkat pemula. Anda akan mengembangkan lebih lanjut pemahaman Anda mengenai topik yang diperkenalkan pada materi pertama program Sertifikat Analitik Data Google. Materi ini akan membantu Anda mempelajari cara mengajukan pertanyaan yang efektif untuk membuat keputusan berbasis data, namun tetap sesuai dengan kebutuhan pemangku kepentingan. Para analis data Google akan mengajarkan dan memberi tahu Anda berbagai cara praktis untuk menyelesaikan tugas umum analis data dengan menggunakan alat dan sumber daya terbaik.

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Ini adalah materi kedua dalam program Sertifikat Analitik Data Google (Google Data Analytics Certificate). Materi ini akan memberi Anda keterampilan yang dibutuhkan untuk melamar pekerjaan analis data tingkat pemula. Anda akan mengembangkan lebih lanjut pemahaman Anda mengenai topik yang diperkenalkan pada materi pertama program Sertifikat Analitik Data Google. Materi ini akan membantu Anda mempelajari cara mengajukan pertanyaan yang efektif untuk membuat keputusan berbasis data, namun tetap sesuai dengan kebutuhan pemangku kepentingan. Para analis data Google akan mengajarkan dan memberi tahu Anda berbagai cara praktis untuk menyelesaikan tugas umum analis data dengan menggunakan alat dan sumber daya terbaik.

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

Di akhir materi ini, Anda akan:

- Mempelajari teknik bertanya efektif yang dapat membantu mengarahkan analisis.

- Memahami cara pengambilan keputusan berbasis data dan bagaimana analis data menyajikan temuannya.

- Mengeksplorasi berbagai skenario bisnis di dunia nyata agar lebih memahami tentang cara mengajukan pertanyaan dan pengambilan keputusan.

- Mengetahui mengapa dan bagaimana spreadsheet menjadi alat penting bagi analis data.

- Menguji berbagai ide penting yang berhubungan dengan pemikiran terstruktur dan bagaimana hal tersebut dapat membantu analis untuk memahami permasalahan dengan lebih baik serta mengembangkan berbagai solusinya.

- Mempelajari strategi untuk mengelola ekspektasi para pemangku kepentingan seraya membangun komunikasi yang jelas dengan tim analitik data untuk mencapai berbagai tujuan bisnis.

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What's inside

Syllabus

Pertanyaan yang efektif
Untuk melakukan pekerjaan analis data, Anda perlu mengajukan pertanyaan dan memecahkan masalah. Di bagian materi ini, Anda akan menemui beberapa tantangan umum analisis dan bagaimana cara para analis mengatasinya. Anda juga akan belajar cara mengajukan pertanyaan secara efektif yang dapat membantu mengarahkan analisis Anda.
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Keputusan berbasis data
Dalam analitik, data mendorong pengambilan keputusan. Dalam bagian materi ini, Anda akan mengeksplorasi berbagai jenis data serta dampaknya terhadap pilihan dan strategi dalam kehidupan nyata. Anda juga akan mempelajari cara membagikan data melalui laporan dan dasbor.
Pengetahuan dasar lainnya tentang spreadsheet
Spreadsheet adalah alat yang sangat penting dalam analitis data. Di materi kali ini, Anda akan mempelajari bagaimana analis data menggunakan spreadsheet untuk pekerjaan mereka sehari-hari. Anda juga akan mengeksplorasi bagaimana para analis menggunakan pemikiran terstruktur agar lebih memahami permasalahan serta mendapatkan solusi.
Ingatlah selalu para pemangku kepentingan
Para analis data yang sukses belajar untuk menyeimbangkan antara kebutuhan dan harapan. Pada materi bagian ini, Anda akan mempelajari strategi mengelola harapan para pemangku kepentingan sambil membangun komunikasi yang jelas dengan tim Anda.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Mengajarkan teknik bertanya efektif yang dapat membantu menganalisis
Membahas tentang pengambilan keputusan berbasis data dan bagaimana data dianalisis
Mengeksplorasi berbagai skenario bisnis untuk memahami pengambilan keputusan
Menekankan pentingnya spreadsheet bagi analis data
Mengajarkan pemikiran terstruktur untuk memecahkan permasalahan
Menyediakan strategi mengelola ekspektasi pemangku kepentingan

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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 Ajukan Pertanyaan untuk Mengambil Keputusan Berdasarkan Data with these activities:
Review basic statistics and probability concepts
Review basic statistical and probability concepts to solidify your foundation for data analysis.
Browse courses on Statistics
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  • Review notes or textbooks on basic statistics and probability.
  • Complete practice problems or quizzes to test your understanding.
Practice using spreadsheet software
Refresh your foundational skills in using spreadsheet software, such as Excel or Google Sheets, to prepare for the course.
Browse courses on Spreadsheet Skills
Show steps
  • Review basic spreadsheet functions and formulas.
  • Create and format simple spreadsheets.
  • Practice manipulating and analyzing data in spreadsheets.
Participate in group discussions on data analysis topics
Engage in discussions with peers to exchange ideas, share insights, and enhance your understanding of data analysis concepts.
Show steps
  • Join online forums or discussion groups focused on data analysis.
  • Participate in discussions by sharing your thoughts and questions.
  • Provide feedback and constructive criticism to others.
Two other activities
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Show all five activities
Create a visual representation of a data analysis scenario
Create a data visualization, such as a chart, graph, or dashboard, that effectively communicates a data analysis scenario.
Show steps
  • Choose a relevant data analysis scenario.
  • Gather and analyze the necessary data.
  • Select an appropriate visualization type.
  • Create the visualization using a data visualization tool.
  • Present your visualization and explain its implications.
Build a data analysis portfolio by working on personal projects
Develop your skills by initiating personal data analysis projects to showcase your capabilities and build a portfolio.
Show steps
  • Identify a real-world data analysis problem or opportunity.
  • Gather and clean the necessary data.
  • Analyze the data and develop insights.
  • Create visualizations and other deliverables to present your findings.
  • Document your project and make it available in your portfolio.

Career center

Learners who complete Ajukan Pertanyaan untuk Mengambil Keputusan Berdasarkan Data will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses data to help businesses make better decisions. They collect, clean, and analyze data to identify trends and patterns. They then use this information to make recommendations to businesses on how to improve their operations. This course can help you become a Data Analyst by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They use data to identify trends and patterns in the financial markets. This course can help you become a Financial Analyst by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Market Researcher
A Market Researcher conducts research to help businesses understand their customers and markets. They collect data from a variety of sources, including surveys, interviews, and focus groups. They then analyze this data to identify trends and patterns. This course can help you become a Market Researcher by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical techniques to solve business problems. They analyze data to identify inefficiencies and develop solutions to improve efficiency. This course can help you become an Operations Research Analyst by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Statistician
A Statistician collects, analyzes, interprets, and presents data. They use statistical methods to develop models and make predictions. Statisticians work in a variety of industries, including government, healthcare, finance, and marketing. This course can help you become a Statistician by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Business Analyst
A Business Analyst helps businesses improve their performance by analyzing data and identifying opportunities for improvement. They work with stakeholders to identify business needs and develop solutions. This course can help you become a Business Analyst by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Data Scientist
A Data Scientist uses data to build models and make predictions. They work with a variety of data sources, including structured and unstructured data. This course can help you become a Data Scientist by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. They work with a variety of data sources, including structured and unstructured data. This course can help you become a Machine Learning Engineer by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Actuary
An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. They work in a variety of industries, including insurance, healthcare, and finance. This course can help you become an Actuary by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Risk Analyst
A Risk Analyst identifies and assesses risks to businesses. They work with stakeholders to develop risk management plans. This course can help you become a Risk Analyst by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Compliance Officer
A Compliance Officer ensures that businesses comply with laws and regulations. They work with stakeholders to develop and implement compliance programs. This course can help you become a Compliance Officer by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data.
Internal Auditor
An Internal Auditor evaluates the effectiveness of internal controls. They work with stakeholders to identify and mitigate risks. This course can help you become an Internal Auditor by teaching you how to ask effective questions, make data-driven decisions, and use spreadsheets to analyze data.
Management Consultant
A Management Consultant helps businesses improve their performance. They work with stakeholders to identify opportunities for improvement and develop solutions. This course may be useful for you if you want to become a Management Consultant by teaching you how to ask effective questions and make data-driven decisions.
Marketing Manager
A Marketing Manager develops and executes marketing campaigns. They work with stakeholders to identify target markets and develop marketing strategies. This course may be useful for you if you want to become a Marketing Manager by teaching you how to ask effective questions and make data-driven decisions.
Project Manager
A Project Manager plans and executes projects. They work with stakeholders to define project scope, develop project plans, and manage project risk. This course may be useful for you if you want to become a Project Manager by teaching you how to ask effective questions and make data-driven decisions.

Reading list

We've selected ten 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 Ajukan Pertanyaan untuk Mengambil Keputusan Berdasarkan Data.
Provides a framework for asking effective questions, which crucial skill for data analysts. It covers techniques for identifying and clarifying questions, as well as strategies for evaluating the quality of questions.
Promotes a lean approach to data analytics, focusing on iterative experimentation and continuous improvement. It provides a practical framework for using data to drive decision-making and innovation.
Aims to demystify statistics and make it accessible to a wider audience. It provides a clear explanation of statistical concepts and how they are used in practice.
Provides a practical guide to thinking like a data scientist. It covers the key concepts and skills involved in data analysis, including data collection, cleaning, analysis, and visualization.
Provides a practical introduction to Python for data analysis. It covers the essential Python libraries, such as Pandas, NumPy, and Matplotlib, and demonstrates how they can be used for data cleaning, manipulation, and visualization.
Provides a comprehensive overview of Python for data science. It covers a wide range of topics, including data cleaning, manipulation, analysis, and visualization.
Provides a practical introduction to data science from scratch. It covers the fundamental concepts and techniques of data science, using Python as the primary programming language.
Provides a comprehensive introduction to statistical learning, which branch of machine learning that focuses on making predictions from data. It covers a wide range of statistical learning methods, from linear regression to support vector machines.
Provides a foundation in discrete mathematics, which is essential for understanding the theoretical underpinnings of data science and machine learning. It covers topics such as sets, logic, combinatorics, and graph theory.
Provides a comprehensive introduction to statistical learning, including supervised learning, unsupervised learning, and model assessment. It more advanced book than Introduction to Statistical Learning and assumes a stronger background in mathematics and statistics.

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