Data Visualization Fundamentals is designed to introduce you to the powerful world of data visualization using Power BI. This course will guide you through the basics of creating visually appealing and meaningful reports, charts and graphs. You'll learn how to identify the right visualization for different types of data, and how to use Power BI's tools to build reports that tell compelling stories with data. Whether you're new to data visualization or looking to sharpen your skills, this course provides practical knowledge that you can apply immediately. By the end, you'll be equipped with foundational skills to help drive data-informed decisions.
Data Visualization Fundamentals
Ce cours fait partie de Microsoft Data Visualization Certificat Professionnel
Instructeur : Microsoft
Inclus avec
Expérience recommandée
Compétences que vous acquerrez
- Catégorie : Chart creation
- Catégorie : Data Visualization
- Catégorie : Data Storytelling
- Catégorie : Microsoft Power BI
- Catégorie : Report design
Détails à connaître
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novembre 2024
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Il y a 4 modules dans ce cours
In this module, you'll explore the essentials of Power BI, including how to set up the software and navigate its interface. You'll be introduced to various visualization types, such as bar charts, line charts, and pie charts, learning how to create your first basic report. This module lays the groundwork for transforming raw data into visually compelling insights.
Inclus
9 vidéos17 lectures7 devoirs
This module focuses on transforming your data into compelling narratives. The learner is introduced to the principles of data storytelling, cohesive design, and how good design improves the user experience and comprehension of data. You'll learn the art of using visual elements to communicate insights clearly and persuasively. The module also covers design principles like color theory, typography, and layout, ensuring your visualizations are not only informative but also visually appealing and easy to understand.
Inclus
5 vidéos6 lectures5 devoirs
In this module, you are introduced to visualizations in Power BI to add to reports and present data to stakeholders. You'll explore how to create and format both basic and advanced chart types, such as tables, scatter plots, and matrix visualizations. Additionally, you'll learn various formatting techniques to enhance the readability and impact of your visualizations, ensuring they effectively communicate your data to stakeholders with clarity and precision.
Inclus
10 vidéos12 lectures10 devoirs
In this module, you will consolidate what you've learned by completing a capstone project that simulates real-world scenarios. You'll apply your knowledge to create a comprehensive Power BI report, utilizing all the skills you've acquired, from data visualization to storytelling and design. This final assessment challenges you to turn data into actionable insights, demonstrating your ability to effectively present and communicate data to stakeholders.
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1 vidéo5 lectures2 devoirs1 plugin
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Foire Aux Questions
This Professional Certificate is designed for aspiring junior data scientists who want to kickstart their careers in the business intelligence industry. It is also for current professionals who are seeking a greater understanding of data visualization fundamentals.
This program is for you:
- If you are interested in the field of data analytics and visualization or are just beginning to work in a junior data analyst role.
- If you want to switch or start a career in the field of data analytics and visualization.
- If you already work in data analytics and are seeking a greater understanding of data visualization fundamentals. Earning a Microsoft Data Visualization certificate can help you advance your career or address gaps in your knowledge, skills, and abilities.
This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones.
It typically takes 5 to 6 months to complete the 5 courses. But some learners may go through the content faster.