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Aaron Rosenmund
In this demo, you'll learn how to perform advanced graph analytics on disparate windows log data to identify anomalies.
In this demo, you'll learn how to perform advanced graph analytics on disparate windows log data to identify anomalies.
Register for this course and see more details by visiting:
OpenCourser.com/course/3c5cr0/threat
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What's inside
Syllabus
Threat Hunting with PySpark
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches threat hunting with PySpark, which helps learners identify anomalies in security data
Save this course
Save Threat Hunting with PySpark to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Threat Hunting with PySpark with these
activities:
Review PySpark
Show steps
Reviewing PySpark will be necessary to make the most of the lessons in this course.
Browse courses on
Pyspark
Show steps
-
Go over PySpark documentation
-
Review PySpark tutorials
-
Build a small PySpark project
Join a study group
Show steps
Studying with others can help you learn the material more effectively.
Show steps
-
Find a study group to join
-
Attend study group meetings
-
Participate in discussions
Follow online tutorials
Show steps
There are many helpful tutorials available online that can help you learn more about graph analytics.
Show steps
-
Find a tutorial that covers a topic you're interested in
-
Follow the steps in the tutorial
-
Experiment with the code and concepts
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice graph analytics
Show steps
Graph analytics are a fundamental part of anomaly detection.
Browse courses on
Graph Analytics
Show steps
-
Find a dataset to practice on
-
Load the dataset into your preferred tool
-
Build a graph model
-
Run graph analytics algorithms
-
Identify anomalies
Mentor junior students
Show steps
Teaching others can help you reinforce your own understanding of the material.
Show steps
-
Find a junior student to mentor
-
Meet with your mentee regularly
-
Provide guidance and support
Write a blog post about graph analytics
Show steps
Writing about what you've learned will help you solidify your understanding of the material.
Browse courses on
Graph Analytics
Show steps
-
Choose a topic to write about
-
Research your topic
-
Write your blog post
-
Publish your blog post
Participate in a hackathon
Show steps
Hackathons are a great way to apply your skills and learn from others.
Browse courses on
Graph Analytics
Show steps
-
Find a hackathon to participate in
-
Form a team
-
Develop a solution to the hackathon challenge
-
Submit your solution
Develop an anomaly detection system
Show steps
Creating such a system will demonstrate your understanding of the concepts and techniques covered in this course.
Browse courses on
Threat Hunting
Show steps
-
Define the scope of your system
-
Gather and prepare data
-
Build and train your model
-
Deploy and monitor your system
Review PySpark
Show steps
Reviewing PySpark will be necessary to make the most of the lessons in this course.
Browse courses on
Pyspark
Show steps
Show steps
Show steps
- Go over PySpark documentation
- Review PySpark tutorials
- Build a small PySpark project
Join a study group
Show steps
Studying with others can help you learn the material more effectively.
Show steps
Show steps
Show steps
- Find a study group to join
- Attend study group meetings
- Participate in discussions
Follow online tutorials
Show steps
There are many helpful tutorials available online that can help you learn more about graph analytics.
Show steps
Show steps
Show steps
- Find a tutorial that covers a topic you're interested in
- Follow the steps in the tutorial
- Experiment with the code and concepts
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice graph analytics
Show steps
Graph analytics are a fundamental part of anomaly detection.
Browse courses on
Graph Analytics
Show steps
Show steps
Show steps
- Find a dataset to practice on
- Load the dataset into your preferred tool
- Build a graph model
- Run graph analytics algorithms
- Identify anomalies
Mentor junior students
Show steps
Teaching others can help you reinforce your own understanding of the material.
Show steps
Show steps
Show steps
- Find a junior student to mentor
- Meet with your mentee regularly
- Provide guidance and support
Write a blog post about graph analytics
Show steps
Writing about what you've learned will help you solidify your understanding of the material.
Browse courses on
Graph Analytics
Show steps
Show steps
Show steps
- Choose a topic to write about
- Research your topic
- Write your blog post
- Publish your blog post
Participate in a hackathon
Show steps
Hackathons are a great way to apply your skills and learn from others.
Browse courses on
Graph Analytics
Show steps
Show steps
Show steps
- Find a hackathon to participate in
- Form a team
- Develop a solution to the hackathon challenge
- Submit your solution
Develop an anomaly detection system
Show steps
Creating such a system will demonstrate your understanding of the concepts and techniques covered in this course.
Browse courses on
Threat Hunting
Show steps
Show steps
Show steps
- Define the scope of your system
- Gather and prepare data
- Build and train your model
- Deploy and monitor your system
Career center
Learners who complete Threat Hunting with PySpark will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their knowledge of programming, statistics, and machine learning to extract insights from data. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for identifying anomalies and trends in data, which can be used to make better decisions.
Data Scientist
Data Scientist
Data Scientists use their knowledge of programming, statistics, and machine learning to build models that can predict future outcomes. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for building models that are more accurate and reliable.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their knowledge of programming, statistics, and machine learning to build and deploy machine learning models. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for building models that are more accurate and reliable.
Data Engineer
Data Engineer
Data Engineers use their knowledge of programming, databases, and cloud computing to build and maintain data pipelines. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for building data pipelines that are more efficient and reliable.
Software Engineer
Software Engineer
Software Engineers use their knowledge of programming to design, develop, and maintain software applications. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for building software applications that are more efficient and reliable.
Product Manager
Product Manager
Product Managers use their knowledge of product development and marketing to bring new products to market. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for identifying customer needs and trends, which can be used to develop better products.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics and statistics to analyze financial data. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for identifying trends and patterns in data, which can be used to make better investment decisions.
Actuary
Actuary
Actuaries use their knowledge of mathematics and statistics to assess risk and uncertainty. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for assessing risk and uncertainty.
Security Analyst
Security Analyst
Security Analysts use their knowledge of security tools and techniques to protect organizations from cyber threats. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for identifying and mitigating cyber threats.
Management Consultant
Management Consultant
Management Consultants use their knowledge of business and management to help organizations improve their performance. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for identifying trends and patterns in data, which can be used to make better decisions.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use their knowledge of data visualization and communication to create visual representations of data. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for creating visual representations of data that are more informative and engaging.
Business Analyst
Business Analyst
Business Analysts use their knowledge of business processes and data analysis to help organizations make better decisions. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for identifying trends and patterns in data, which can be used to make better decisions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics and computer science to solve complex business problems. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for solving complex business problems, such as scheduling and logistics.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of finance and accounting to analyze financial data. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for identifying trends and patterns in data, which can be used to make better investment decisions.
Risk Analyst
Risk Analyst
Risk Analysts use their knowledge of risk management and financial analysis to help organizations identify and mitigate risks. This course may be useful in this role, as it teaches how to use PySpark to perform graph analytics on data. This can be helpful for identifying and mitigating risks.
For more career information including salaries, visit:
OpenCourser.com/course/3c5cr0/threat
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Threat Hunting with PySpark.
Save
Classic in the field of network security, and it provides a comprehensive overview of the threats and vulnerabilities that face networks today. It also discusses a variety of security measures that can be used to protect networks from attack.
Provides a comprehensive guide to security engineering, covering topics such as risk assessment, threat modeling, and security architecture. It also discusses the latest developments in security engineering, such as cloud security and mobile security.
Save
Gripping account of one of the most famous cyber attacks in history, known as the Morris worm. It tells the story of how a single worm caused widespread damage to networks around the world, and how the author tracked down the perpetrator.
Save
Is another autobiography of Kevin Mitnick, one of the most famous hackers in history. It tells the story of his early days as a hacker, his time in prison, and his subsequent career as a security consultant.
Beginner's guide to network security, covering topics such as firewalls, intrusion detection systems, and virtual private networks. It also discusses the latest developments in network security, such as cloud security and mobile security.
Provides a comprehensive overview of information security, covering topics such as risk assessment, threat modeling, and security architecture. It also discusses the latest developments in information security, such as cloud security and mobile security.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3c5cr0/threat
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