Mastering Data Analysis with Pandas: Learning Path Part 4

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Mastering Data Analysis with Pandas: Learning Path Part 4

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

Key Takeaways

Master data analysis with Pandas and Python through hands-on guided projects

Original Description

In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the fourth of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Should You Trust the Netflix Top 10? A Statistical Analysis
Learn to statistically analyze the reliability of Netflix's Top 10 list and its impact on user choices
Medium · Machine Learning
📰
Why Aurangabad’s Digital Growth Is Boosting Data Science Jobs
Aurangabad's digital growth is creating new data science job opportunities, learn how to leverage this trend for career growth
Medium · Data Science
📰
How I added upstream activity signals to an OSS alternatives directory
Learn how to add upstream activity signals to an OSS alternatives directory by building an ETL script to pull GitHub data
Dev.to · MORINAGA
📰
Nigeria’s data centres face major test under CBN’s local hosting mandate
Nigeria's data centres must prepare for a surge in local data hosting by 2027, posing a major test for their infrastructure and capabilities
TechCabal
Up next
Salesforce Tableau CRM & Einstein Discovery Consultant Exam: Full Syllabus Breakdown (New 2025 Bluep
Emily Unfiltered
Watch →