Time Series Data Visualization And Analysis Techniques

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Time Series Data Visualization And Analysis Techniques

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

Key Takeaways

Analyzes time series data with visualization techniques and outlier detection

Original Description

By the end of this project we will learn how to analyze time series data. We are going to talk about different visualization techniques for time series datasets and we are going to compare them in terms of the tasks that we can solve using each of them. Tasks such as outlier detection, Key moments detection and overall trend analysis. During this project, we will learn how and when to use Line charts, Bar charts, and Boxplot. We will also learn some techniques about color mapping and we will understand how it can help us for a better analysis and understanding of our data.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
12.4 Million US Business Registrations Are Sitting on State Open-Data Portals, Free
Unlock 12.4 million US business registrations for free from state open-data portals and boost your business intelligence
Dev.to · Brad Ju
📰
Mau Naik Level? Ini Advanced Data Science Techniques untuk Data Analytics
Learn advanced data science techniques for data analytics to improve business decision-making
Medium · Data Science
📰
I Finally Understood AWS Data Pipelines After Following a Single Customer Click
Learn how to understand AWS Data Pipelines by following a customer click, making it easier to design and implement data workflows
Dev.to · Anupa Supul
📰
Beyond the Basics: Streamlit, Dash, and Bokeh for Interactive Dashboards
Learn to create interactive dashboards with Streamlit, Dash, and Bokeh, going beyond basic data visualization tools
Dev.to · RoyserVillanueva
Up next
ChatGPT Will Make Your Excel & Google Sheets x10 Better!
Educraft
Watch →