- If you're interested in
learning more about how to improve
your data science and
machine learning workflows
with Neo4j, you're in luck.
We've launched two new online
trainings covering Data
Science with Neo4j, and
Applied Graph Algorithms.
These courses are completely
free and open for anyone
to enroll as part of GraphAcademy.
You can find them both online
at neo4j.com/graphacademy.
In the Applied Graph
Algorithms course, you'll learn
how to use graph algorithms in Neo4j.
This course takes an applied
approach introducing the
algorithms, how to use them
in Neo4j, and also how to
leverage graph algorithms
to enhance the functionality
of a web application.
You'll make use of the Yelp
public dataset with information
about businesses and user reviews
to build a simple business
search application using React and Neo4j.
You'll then use graph
algorithms to enhance the
functionality of the
application, such as personalized
search results, and building
a category hierarchy.
You'll learn how to use the
Neo4j graph algorithms plugin,
and algorithms such as
personalized PageRank, Similarity
metrics, and community
detection, all in the context
of adding functionality to an application.
This course is designed
for application developers
who want to learn more about
enhancing their applications
with graph algorithms and Neo4j.
The Data Science with Neo4j
course shows how to use Neo4j,
along with Python data
science tools such as Jupyter
Notebooks, Matplotlib,
Pandas, and scikit-learn.
Use a dataset of paper authors
and citations, you'll learn
how to query Neo4j using
Python, and how to use Neo4j
for exploratory data analysis.
Then, using the Neo4j graph
algorithms plugin, you'll move
on to generating personalized
recommendations using
collaborative filtering and PageRank.
Finally, you'll learn about
link prediction, building
a binary classifier with
scikit-learn, using graph-based
feature extraction.
The Data Science with Neo4j
course is designed for data
scientists and data analysts,
and some existing knowledge
of Python is helpful.
Each course includes guided
exercises and quizzes
to reinforce your learning.
After successfully completing
each course, you'll receive
a Certificate of Completion.
To be successful in these
courses, we recommend you
have some familiarity with
Neo4j, or have completed the
Introduction to Neo4j course previously.
Register for these new courses today
at neo4j.com/graphacademy.
