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Comprehensive Data Science and Cybersecurity Training

This comprehensive course provides thorough training in data science, coding with Python, data analytics, machine learning, and artificial intelligence, along with cybersecurity risk management, mitigation, and assessments for the Risk Management Framework (RMF) certification. The course is designed to equip individuals with the skills and knowledge necessary to excel in the rapidly evolving tech industry.

CORE TOPICS

Data Science

Participants will gain a deep understanding of data science principles and techniques, including data collection, cleaning, analysis, and visualization. They will also learn to apply statistical and machine learning models to solve real-world problems.

Coding With Python

The course delves into Python programming, teaching students how to write efficient, scalable, and maintainable code. Participants will learn to use Python libraries and frameworks for data manipulation, visualization, and analysis.

Data Analytics

Students will explore the methods and tools for extracting insights from large datasets, understanding patterns, and making data-driven decisions. They will also gain practical experience in data cleaning, transformation, and interpretation.

Machine Learning

The course covers the foundations of machine learning and exposes participants to various algorithms and techniques for supervised and unsupervised learning. Students will develop the skills to build and evaluate predictive models.

Artificial Intelligence

Participants will learn about the fundamentals of artificial intelligence, including natural language processing, computer vision, and deep learning. The course will also explore the ethical considerations and societal impacts of AI.

Cybersecurity Risk Management

In addition to the data science elements, the course will provide in-depth training in cybersecurity risk management. Participants will become proficient in identifying, assessing, and mitigating cybersecurity risks, with a focus on the Risk Management Framework (RMF) certification.

Cybersecurity Risk Mitigation

Students will learn practical approaches to cybersecurity risk mitigation and conduct assessments to identify vulnerabilities and recommend appropriate countermeasures.

RMF Certification

The course prepares participants for the Risk Management Framework (RMF) certification, ensuring they are equipped to navigate the complex landscape of cybersecurity risk management and compliance.

BENEFITS

In-Depth Knowledge

Participants will gain in-depth knowledge and hands-on experience in data science, Python coding, data analytics, machine learning, and artificial intelligence, as well as cybersecurity risk management and RMF certification.

Real World Applications

The course emphasizes practical application of skills, enabling students to tackle real-world challenges in data analysis, machine learning, AI, and cybersecurity risk management.

Certification Prep

By preparing participants for the RMF certification, the course equips them with a valuable credential recognized in the cybersecurity industry.

TARGET AUDIENCE

This course is ideal for aspiring data scientists, data analysts, Python developers, machine learning enthusiasts, AI practitioners, and cybersecurity professionals looking to enhance their skills and gain RMF certification.

DURATION

The course spans over 12-weeks, offering an intensive yet thorough learning experience.

PREREQUISITES

Participants should have a basic understanding of programming concepts and some familiarity with data analysis. No prior cybersecurity knowledge is required, as the course covers the fundamentals comprehensively.

All training sessions will be hosted via our video chat platform known as the Fovea®.

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