This foundational course aims to equip you with an understanding of Power BI, exploring its core features and components of its user-friendly interface, and the capabilities it offers.
Power BI Data Analyst Prep
Instructeurs : Skill-Up EdTech Team
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Ce que vous apprendrez
Explain how to prepare data for analysis by importing and resolving errors using Power BI.
Examine the process of creating data models using Power BI Desktop models.
Discover effective data visualizations and compelling reports to communicate your insights.
Describe the steps to publish reports, design interactive dashboards, and safeguard the data by using the security features in Power BI.
Compétences que vous acquerrez
- Catégorie : Data Analysis
- Catégorie : Data Modeling
- Catégorie : Data transformation
- Catégorie : Data Visualization
- Catégorie : Data cleaning and shaping
Détails à connaître
Ajouter à votre profil LinkedIn
6 devoirs
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Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
Il y a 2 modules dans ce cours
The module begins with an overview of the features and components of Power BI that make it a great tool for data analysis. You'll learn about how Power Query is leveraged for data extraction from diverse sources and make critical decisions about storage modes and connectivity types. Additionally, you'll master profiling and cleansing of data and loading it into Power BI before diving into data modeling. Additionally, you will gain insight into Power BI data models and the selection of data loading approaches. You will also learn how to simplify the process of creating data models, emphasizing techniques such as star schema design. In the section on DAX functions, you will learn to perform advanced calculations in tabular data models. Finally, you’ll learn to recognize the significance of data granularity for performance and usability.
Inclus
11 vidéos3 lectures3 devoirs1 sujet de discussion
In this module, you'll explore various visualization types that enable you to implement effective data visualization. Learn the art of designing reports for compelling storytelling and discover techniques to refine your reports. Additionally, you'll dive into data analytics within Power BI, which helps you perform tasks such as identifying outliers, grouping data, and applying time series analysis. Finally, you'll also become proficient in navigating the Power BI service workspace, creating dynamic dashboards, and adding essential security measures to ensure your data is safe.
Inclus
9 vidéos5 lectures3 devoirs
Instructeurs
Offert par
Recommandé si vous êtes intéressé(e) par Data Management
Edureka
SkillUp EdTech
University of California, Irvine
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Révisé le 26 mars 2024
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.