Data Preparation and Management

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Data Preparation and Management

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Prepares and manages data using Microsoft Power BI, covering data connection, cleaning, transformation, and Extract, Transform, Load processes

Original Description

Data Preparation and Management is designed to equip you with the essential skills needed to prepare and manage data effectively using Microsoft Power BI. Throughout this course, you'll learn how to connect, clean, and transform data from various sources to ensure its integrity and quality. You will explore the principles of Extract, Transform, Load (ETL) processes, data storage, and the importance of maintaining data accuracy. This course emphasizes practical applications, providing you with hands-on experience in managing real-world data scenarios. By the end of this course, you’ll be ready to confidently handle data preparation tasks and ensure that your data is ready for analysis and visualization. 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. By the time you begin this course, you should have a strong understanding of different types of visualizations and their appropriate use, along with the ability to create cohesive and compelling reports in Power BI. You should also be capable of identifying and addressing common design problems in reports, producing audience-focused reports by understanding business needs.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
The Who, What, and Why of Semantic Layers: The Layer That Decides Whether Your Numbers Can Be Trusted
Learn about semantic layers and their role in ensuring trustworthy data, a crucial aspect of data analytics and business intelligence
Dev.to · Alex Merced
📰
Data structures — Hash tables/ Associative Arrays
Learn about hash tables and their implementation in Python for efficient data storage and retrieval
Medium · Python
📰
Why Revisiting Old Databricks Concepts Made Me a Better Learner
Revisiting old concepts can deepen understanding and improve learning, a key insight for data scientists and professionals in related fields
Medium · Data Science
📰
Day 96: Data Catalog Service - AI System Design in Seconds
Learn to design an AI-powered data catalog service in seconds to efficiently manage and discover datasets
Dev.to · Matt Frank
Up next
Turn an Excel Table Into a Live Website
Kenji Explains
Watch →