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Cyber Security Online Course
This course serves as an introduction to the field of cybersecurity, covering fundamental concepts, techniques, and best practices for securing digital systems and data. Students will gain a comprehensive understanding of the threats facing modern computer systems and networks, as well as the strategies and tools used to defend against these threats." " "
- 24 Lessons
- 95 Students
AWS
AWS courses provide comprehensive training in cloud computing, covering various services and tools offered by Amazon Web Services. Learn essential skills for managing cloud infrastructure, deploying applications, and optimizing performance through hands-on exercises and expert guidance."
- 28 Lessons
- 12 Students
DevOps
Containerization: Dive into Docker and Kubernetes for container management. Infrastructure as Code (IaC): Harness the power of Terraform for infrastructure management. Monitoring and Logging: Learn effective monitoring, logging, and alerting strategies.
- 21 Lessons
- 10 Students
POWER BI
The Microsoft Power BI courses listed cover data visualization, business intelligence, and analytics, enhancing skills needed for advanced data analysis and reporting in diverse professional settings.
- 6 Lessons
- 20 Students
DATA ANALYTICS IN EXCEL
Understand Data Analytics Fundamentals: Learn the basic principles and terminology of data analytics, including types of data, data sources, and the data analysis process. Explore Data Collection and Preparation: Gain hands-on experience in collecting, cleaning, and preprocessing data to make it suitable for analysis. Master Exploratory Data Analysis (EDA): Learn how to explore and visualize data using statistical techniques and visualization tools to uncover patterns and relationships. Introduction to Statistical Analysis: Acquire a foundational understanding of statistical methods commonly used in data analytics, such as descriptive statistics, hypothesis testing, and regression analysis. Discover Machine Learning Basics: Explore fundamental machine learning algorithms for predictive modeling, classification, clustering, and regression.
- 4 Lessons
- 20 Students


