Vertical Institute

In this learning path, you will receive a high-level overview of the cybersecurity landscape and gain a solid technical foundation on security assessment, penetration testing and security hardening to protect your yourself and your organisation's security systems.

By the end of the course you will be able to:

• Utilise scanning tools to perform vulnerability checks and assessments of existing systems. Able to understand the cyber kill chain and map penetration testing activities to kill chain reporting.

• Learn about the MITRE ATT&CK framework and map penetration testing activities to the framework. Learn about passive and active scanning capabilities that Understand about threat actors activity and how hackers perform intrusions against an enterprise.

• Learn about Center for Internet Security (CIS) framework for securitydefence. Map penetration testing activities that are in compliance with CIS standards.

• Perform security hardening on configuration policies in a Windows and Linux environment against security standards like National Institute of Standards and Technology (NIST).

• Understanding how threat actors operate on social engineering level via phishing and malicious site attacks.

• Web application vulnerabilities discovery and management. Recording steps of web vulnerabilities discovery and recommendations to remediate.

• Attack methods from threat actors and security controls to manage those threats. Recording steps of delivery and exploit as well as recommendations to remediate.

3-day / 21 hour duration

Learn how to use industry tools: Excel, SQL and Tableau to analyze large real-world data sets and create data dashboards and visualizations to share your findings. Join the data conversation and see how data analytics drives decision-making across industries.

By the end of the course you will be able to:

• Use Excel, SQL, and Tableau to collect, clean, and analyze large data sets.

• Present data-driven insights to key stakeholders using data visualization and dashboards.

• Implement comtemporary techniques, dynamic visual displays with illustrative and interactive graphics to present patterns, trends, analytical insights from data.

3-day / 21 hour duration

You will learn to use Python to help you acquire, clean, transform and model your data. A significant portion of the course will be a hands-on approach to the fundamental data analysis techniques and machine learning algorithms that enable you to build robust predictive models of real-world data and test their validity. You will also practice communicating your results and insights.

Upon successful completion of the course, students will be able to:

- Acquire knowledge about fundamental programming concepts and the Python programming language
- Code comfortably in Python and understand control flow and conditional programming
- Ingesting data from various files to a pandas dataframe
- Manipulate data using pandas operations and methods
- Perform exploratory data analysis with python and pandas dataframe and series
- Understand which data visualization to use to effectively present data
- Build and refine machine learning models to predict patterns from data sets
- Communicate data driven insights to a technical and non-technical audience alike.
- Tune data parameters for advanced model evaluation

3-day / 21 hour duration

You will learn to use Python to help you acquire, clean, transform and model your data. A significant portion of the course will be a hands-on approach to the fundamental data analysis techniques and machine learning algorithms that enable you to build robust predictive models of real-world data and test their validity. You will also practice communicating your results and insights.

Upon successful completion of the course, students will be able to:

- Acquire knowledge about fundamental programming concepts and the Python programming language
- Code comfortably in Python and understand control flow and conditional programming
- Ingesting data from various files to a pandas dataframe
- Manipulate data using pandas operations and methods
- Perform exploratory data analysis with python and pandas dataframe and series
- Understand which data visualization to use to effectively present data
- Build and refine machine learning models to predict patterns from data sets
- Communicate data driven insights to a technical and non-technical audience alike.
- Tune data parameters for advanced model evaluation

3-day / 21 hour duration