Data Wrangling for Business

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Data Wrangling for Business

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·2mo ago

Key Takeaways

Applies data wrangling principles and techniques for business using data transformation tools and programming languages

Original Description

Welcome to Data Wrangling for Business. This course will cover data wrangling principles and techniques for business. Key topics include data extraction, profiling, cleansing, integration, transformation, and automating data processes for business purposes. In the course, you will apply principles and techniques using data transformation tools, programming languages, and data process automation tools. The course offers you an opportunity to learn how to embed appropriate communication mechanisms for collaboration to identify and resolve real-world data challenges revealed in datasets and business processes, creating business value in today’s disparate computing and dynamic business environment.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
The one, simple mathematical rule underpinning your life.
Discover how a simple mathematical rule can improve your life by understanding its presence and application
Medium · Data Science
📰
I Analyzed 10,000+ Retail Orders in Excel — and Found the Exact Point Where Discounts Start Losing…
Analyzing 10,000+ retail orders reveals the point where discounts start losing profitability, teaching a valuable lesson on revenue vs profit
Medium · Data Science
📰
The Data Science Lifecycle: How Raw Data Becomes Real Business Decisions
Learn how raw data is transformed into business decisions through the data science lifecycle
Medium · Machine Learning
📰
The Data Science Lifecycle: How Raw Data Becomes Real Business Decisions
Learn how raw data is transformed into business decisions through the data science lifecycle
Medium · Data Science
Up next
How to Prompt Your LLM Directly from SQL
Ian Wootten
Watch →