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Our Courses
Intro Course: Data Storytelling
Using existing spreadsheet and quantitative reasoning skills, learners will make their data tell a story. This course is ideal for learners who are just starting out in their careers, journalists looking to expand their skill set, and marketers looking to tell a story.
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Course by
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Self Paced
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36
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English
Data Visualization with Tableau
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling.
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Course by
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Self Paced
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English
Data Science Methodology
If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies.
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Course by
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Self Paced
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15 hours
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English
Data Storytelling
This course will cover the more complex concepts that become involved when working beyond simple datasets. Exploring the connection between visual aspects and data understanding, we will examine how those concepts work together through data storytelling. After reviewing key points on how to avoid problematic visualizations and data misrepresentation, you will continue working in Tableau performing multivariate descriptive analysis of the S&P 500 stock sectors.
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Course by
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Self Paced
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9 hours
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English
Designing Engaging Dashboards for Healthcare Analytics
Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?” Discusses the challenges of making data understandable across a wide range of audiences.
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Course by
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Self Paced
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16 hours
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English
Foundations of Data Science
This is the first of seven courses 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.
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Course by
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Self Paced
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23 hours
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English
Healthcare Information Design and Visualizations
Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?” Discusses the challenges of making data understandable across a wide range of audiences.
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Course by
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Self Paced
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20 hours
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English
فن رواية قصة البيانات | The Art of Data Storytelling
تعتبر الأرقام بمثابة حقائق ذات تأثير جوهري على المتلقي، وكلما زادت دقتها، زادت قدرته على اتخاذ قرارات فعّالة، لكن الأرقام في حد ذاتها مجرد بيان أو إحصاء، فهي تحتاج إلى طريقة مناسبة لسردها وعرضها كي تحقق أقصى فائدة ممكنة، ومن هنا أصبح العامل الفارق في نجاح أو فشل مؤسسات الأعمال، ليس امتلاك البيانات الدقيقة فحسب، بل امتد الأمر ليشمل تحديد واختيار الطريقة المناسبة لعرضها ونشرها بالصورة التي تناسب طبيعتها من ناحية ومستوى إدراك المتلقي لها من ناحية أخرى. ومع تزايد هذه الأهمية، ظهرت في آفاق عالم الأعمال اتجاهات حديثة للتعامل مع البيانات بصورة مناسبة تحقق الغرض المرجو منها، بل وأصبح من الممكن عرض وت
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Course by
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Self Paced
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2 hours
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Arabic