Merge pull request #8 from memgraph/add-course-to-overview

Add link to course to overview

docs/overview.md

@@ -4,17 +4,28 @@ title: Overview
 sidebar_label: Overview
 slug: /
 ---
+<!-- import CtaButton from "@site/src/components/cta-button/cta-button"; -->
 
 Welcome to the **NetworkX Guide**!  
 This site provides current and useful information about the **NetworkX** Python library for studying graphs and networks.  
 
 This project came to life because we noticed a lack of user-friendly materials and documentation surrounding the NetworkX library.
 With this site, we hope to combine all the relevant resources like guides, tutorials, references, etc. into an open platform that is **free for everyone to use and contribute to**. We would also like to emphasize the importance of graph analytics in fast evolving world of data.
 
+If you want to quickly learn all about graphs and how to analyze them sign up for the **Intro to Graph Analytics in Python free course**. Get to know the graph analytics tools landscape and see engaging examples to find out how to use the most powerful network analysis Python tools.
+
+[![free-course-intro-to-graph-analytics](../static/img/free-course-intro-to-graph-analytics.jpg)](https://app.livestorm.co/memgraph/intro-to-graph-analytics-in-python "Intro to Graph Analytics in Python Course")
+
+<!-- <CtaButton title="Sign up for the course" url="https://app.livestorm.co/memgraph/intro-to-graph-analytics-in-python"></CtaButton> -->
+
 The documentation is divided into the following sections:
 * **[Getting started](/getting-started)** - A beginner guide for developers who are new to the world of network analysis.
 * **[Visualizing graphs](/visualization)** - A section dedicated to graph visualization functionalities. 
 * **[Functions](/functions)** - A complete list of all functions available in NetworkX.
 * **[Algorithms](/algorithms)** - Graph algorithms explained in simple terms with accompanying usage examples. 
 * **[Other resources](/other-resources)** - A compilation of NetworkX related resources. 
 * **[FAQ](/faq)** - Read the most common questions asked on community channels and learn answers to them.
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src/css/custom.css

@@ -31,7 +31,8 @@ img[alt="visualization-basics-draw-customized"],
 img[alt="visualization-basics-positions"],
 img[alt="matplotlib-figure-2"],
 img[alt="matplotlib-figure-3"],
-img[alt="matplotlib-figure-5"] {
+img[alt="matplotlib-figure-5"],
+img[alt="free-course-intro-to-graph-analytics"] {
   width: 50%;
 }