Statistics and Data Analysis with Excel, Part 1

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Statistics and Data Analysis with Excel, Part 1

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

Key Takeaways

Uses Excel for descriptive statistics, probability, and discrete and continuous probability distributions

Original Description

Designed for students with no prior statistics knowledge, this course will provide a foundation for further study in data science, data analytics, or machine learning. Topics include descriptive statistics, probability, and discrete and continuous probability distributions. Assignments are conducted in Microsoft Excel (Windows or Mac versions). Designed to be taken with the follow-up courses, “Statistics and Data Analysis with Excel, Part 2" and "Statistics and Data Analysis with R". All three courses make up the specialization "Statistics and Applied Data Analysis."
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
A Bloomberg Terminal Costs $32,000 a Year. Here’s the Same Read, Free, in Five Minutes.
Access financial data without costly Bloomberg terminals, leveraging free alternatives for data analysis and interpretation
Medium · Data Science
📰
Working With Real World Data: CSV, Excel, and JSON Files
Learn to handle real-world data in various formats like CSV, Excel, and JSON to work confidently with any given data
Medium · AI
📰
Working With Real World Data: CSV, Excel, and JSON Files
Learn to work with real-world data in various formats like CSV, Excel, and JSON to confidently handle diverse data sources
Medium · Machine Learning
📰
Working With Real World Data: CSV, Excel, and JSON Files
Learn to work with real-world data in various formats like CSV, Excel, and JSON to confidently handle diverse data sources
Medium · Data Science
Up next
This could be the most perfect data frontend
Matt Williams
Watch →