Course Description
The "Certificate Course in Ethical Hacking" offered by LBS (LBS Centre For Science & Technology) is a specialized certification program designed to provide individuals with the knowledge and skills required to become proficient ethical hackers. Ethical hacking involves identifying and addressing security vulnerabilities in computer systems, networks, and applications to protect them from malicious attacks. This program ensures that participants are well-prepared to help organizations secure their digital assets and data. The curriculum covers a wide range of topics related to ethical hacking, including network security, penetration testing, vulnerability assessment, and cybersecurity best practices. Participants learn how to identify security weaknesses, exploit them in a controlled environment, and provide recommendations for improving security. The program typically includes hands-on training, allowing participants to gain practical experience in ethical hacking techniques. Upon successful completion of the "Certificate Course in Ethical Hacking" by LBS, participants are well-prepared for careers in cybersecurity, penetration testing, and related fields where their expertise in identifying and addressing security threats is highly valued. Join us on this educational journey to become a skilled ethical hacker, helping organizations maintain a strong defense against cyber threats.
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Affiliation
LBS
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Topics
Introduction Data Mining Concepts, Data Mining Applications, Data Mining Stages, Data Mining Models Data Preprocessing Data Preprocessing Concepts, Data Cleaning, Handling Missing Data, Data Transformation and Discretization, Data Visualization. UCI Data Sets and their Significance Classification Models Introduction to Classification Models, Decision Tree, Neural Networks, k-Nearest Neighbor classifier, Naive Bayes Classifier, Support Vector Machines. Prediction Models Linear regression, Non-linear regression Association Rules Mining Concepts, Apriori Algorithm, FP-growth algorithm Cluster Analysis Introduction, Concepts, Partitional clustering, K-Means Clustering, Hierarchical clustering, Density Based Clustering, Practical Data Mining Tools Weka, R Package for Data Mining
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Duration
3 Months
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