How to learn to perform a complete PenTest through several practical examples.

What will I learn? Understand the importance of professional Ethical Hacker in the job market; Understand the legal aspects of the profession of Pentester; Develop skills in linux environments and understand the operation of TCP / IP stack protocols; Understand the types of invasion testing and when to apply them; To know techniques of exploration of failures in computational environments. Perform a Penetration Test, fulfilling all the necessary technical steps; Understand the types of documentation that should be delivered to the customer at the end of the Penetration Test. Requirements You should already be familiar with the basics of networking and operating systems Description ... [-]

I take you from scratch, step by step so that you understand Security.

What will I learn? The importance of Information Security. Elements that make up Security. Several facets in the Hacking cycle. The types of Hacker attacks. The Hacktivism. Ethical Hacking The search for vulnerabilities and their tools. Steps to conduct the Ethical Hacking. Computer crimes and their implications. The Cyberleyes that prevail around the world. Requirements  Basic PC management. Description

In this first part of my course on the Fundamentals of Ethical Hacking, of a Professional nature, you will learn the following.

The importance of security in the current times (analysis of real cases). Essential terminologies and case studies. All the elements of which Security is composed (confidentiality, authenticity, integrity, availability). The types of Hackers (Ethical, black hat, gray hat, formerHackers). The phases used by an attacker in the Hacking cycle (scanning, hoovering, enumeration, gaining access, housekeeping or maintaining access). We will see all the types of attacks that are known (to the operating system, by code reduction, at the application level, by configuration error). We will define what is understood by Hacktivism and we will give real examples. Ethical Hacking (profile of skills, types of approach, how to become one). Search for vulnerabilities and tools (research, fuzzing, 0-day). Conducting Ethical Hacking (types of reports, carte blanche, holy grail, pit type). Computer crimes and their implications. Who is it for? Anyone interested in Security and its deficiencies. Program of this course Introduction Terms and elements that make up... [-]

Learn the basics of computer security to protect yourself from cyber attacks.

What will I learn? Understand the methods and tools used to hack you to defend and defeat them. Secure computer systems, networks, and websites. Create your own test lab to practice without breaking. Understand how systems, networks and computing work in general. Detect computer vulnerabilities in your computer systems, and fix them. Acquire you too this essential knowledge in the years to come in view of the growing number of cyberattacks. Take your digital life in hand, by updating you technically. Teach you the basics of computer security you have learned. Prepare yourself for jobs in the field of information systems security, or certifications like CEH (Certified Ethical Hacker) Discover a new world, the mysterious face of IT, and put your skills to the benefit of those around you or your customers. And many others... requirements You must have some basic computer skills. You must have a Windows or Linux machine (Mac has not been tested). But you must above all be in a good mood and want to learn! Description ... [-]

Data Science, Business Analytics, Data Analysis, Data Mining, Tableau, Statistics, Modeling, Regression, SQL, SSIS.

What will I learn? Perform all the steps of a complex Data Science project correctly Create Visualizations in Tableau Doing Data Mining in Tableau Understand how to apply the chi-square test Apply the Ordinary Least Squares method to make Linear Regressions Evaluate all types of models thanks to the R-Squared Evaluate all types of models thanks to Adjusted R-Squared Create a Simple Linear Regression Model Create a Multiple Linear Regression Model Create Dummy Variables Interpreting the coefficients of Multiple Linear Regression Read Outputs of Linear Regression Models Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models Create a Logistic Regression Model Integrate the intuition of Logistic Regression Analyze the False Positives & False Negatives and understand the difference Read a Confusion Matrix Create a Robust Model of Geo-Demographic Segmentation Transform independent variables for modeling Derive independent variables for modeling Check the presence of multicollinearity using VIF (Variance Inflation Factor) Have an intuition of multicollinearity Use the Cumulative Accuracy Profile (CAP) to evaluate models Build the CAP curve in Excel Use the Training Set and the Test Set to build robust models Draw insights from your CAP curve Understanding the Odds Ratio Getting business insights from the coefficients of a Logistics Regression Understand what pattern deterioration looks like Apply three levels of model maintenance to prevent model deterioration Install and use SQL Server Install and use Microsoft Visual Studio Shell Clean up data... [-]

Learn how to make the most of the hacking tool Nmap for scanning networks and detecting vulnerabilities.

What will I learn?Use Host Discovery to discover active systems on the networkUse the different portscan types to identify open ports and servicesDetermine software and version of services and operating systemsOptimize an Nmap scanWork around firewalls and IDS / IPS with NmapUse NSE and Nmap scripts specifically and develop them yourselfUse additional tools such as Zenmap, ncat and ndiff effectivelyconditionsYou should have a solid basic knowledge of networkingWindows, Linux and TCP / IP should not be foreign words for youNo profound knowledge of TCP / IP is required, all necessary information is provided in the courseA high motivation and affinity to the topic networkdescription... [-]

Learn all the important technologies of modern IT networks including preparation for the Exam CompTIA Network

What will I learn?After the course you will be able to understand and classify all the essential technologies of modern IT networksThese include Ethernet, VLANs, port security, switching and routing, firewalls, DMZ, VPN and RAS, WLAN, network management, IT security and IPv6You will also learn how to configure Windows and Linux on the network, and how to set up Active Directory DNS and Web servers and other server servicesAt the end of the course you can practice many technologies yourselfThe course provides optimal preparation for CompTIA Network certificationWith this course, you will receive sound basic knowledge, which is valuable for almost all IT areasconditionsYou should always be able to handle computersIt is an advantage if you have already gained some experience with networks. While the course does not require any prior knowledge, understanding requires some affinity to the topicdescription... [-]

Edureka's Migrating Applications from on-premise to AWS workshop covers 3 case studies where you will gain expertise and experience in managing cloud migration. You will become proficient to migrate Web Applications, Batch Processes, and Backend Processing Pipeline to AWS cloud.

This Workshop focuses on THREE USE CASES where you will be exposed to experiment the migration of Web Applications, Batch Processes, and Backend Processing Pipeline to the AWS cloud. You will understand the functional capabilities of these on AWS after migration.

These USE CASES are intended to provide some insight into how to migrate to AWS in the real world. The session will be conducted by Industry practitioners, who will train you to leverage AWS services to make the AWS infrastructure scalable, reliable, and highly available.... [-]

A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights.

The self-paced Statistics Essentials for Analytics Course is designed for the learners to understand and implement various statistical techniques. These techniques are explained using dedicated examples. The use case is taken up at the end of each module and insights are gathered, thus at the end of the course, we have a Project which is consistently worked upon throughout the course.

Course Objectives

After the completion of this course at Edureka, you should be able to:

Learn various statistical techniques like Sampling Methods, Conditional Probability, Bayesian Theorem, etc.... [-]

About The Course

Microsoft BI course is designed to provide insights on different tools in Microsoft Suite (SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services). It also gives the practical knowledge of DW concepts and how these tools help in developing a robust end-to-end BI solution.

Course Objectives

After the completion of Microsoft BI course at Edureka, you will be able to:

Understand DW concepts including ETL and Multidimensional modeling Install and configure end-end MSBI system Implement end-to-end ETL system using SQL Server Integration Services Gain insight into Multidimensional model and its importance Create Cubes and administer them in SSAS Create multiple types of reports and visualizations using SSRS/PowerView etc. Understand the concept and need for ad-hoc reports Apply Microsoft tools like Report Builder, Power View Give an end-to-end picture how Microsoft BI suites various tools work Integrate various BI tools to build a complete BI solution Who should go for this course? ... [-]

About The Course

Edureka's AWS Training will introduce the participants to explore and master AWS concepts and services offered by AWS.

Participants will be offered guidance and will share a lot of demos on each topic with real-time examples of high availability, load balancing, data redundancy and day to day operations in managing cloud services.

Participants will also get to implement one project towards the end of the course.

Course Highlights 12 Instructor-led Interactive online classes of 3 hours each. Assignments at end of each class to reinforce the concepts Project work at end of the course to give a complete hands-on experience to participants in the implementation of various AWS services. Lifetime access to Class recordings and presentations on edureka! Learning Management System (LMS). Lifetime access to installation guides, sample codes and project documents edureka! Learning Management System (LMS). 24x7 online support team available to help participants with any technical queries they may have during the course. A skill certificate in AWS Development Training from edureka! Course Objectives ... [-]

About The Course

AWS Certification Training from Edureka is designed to provide in-depth knowledge of AWS architectural principles and it services. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Certified Solutions Architect Exam.

During this AWS Architect Online training, you'll learn:

AWS Architecture and different models of Cloud Computing Computer Services: AWS EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk Storage Services: AWS EBS, AWS S3, AWS Glacier, AWS CloudFront, AWS Snowball, Storage Gateway Database Services: AWS RDS, AWS DynamoDB, ElastiCache, AWS RedShift Security and Identity Services: IAM, KMS Networking Services: Amazon VPC, Route 53, Direct Connect Management Tools: AWS CloudTrail, AWS CloudWatch, CloudFormation, OpsWorks, Trusty Advisor Application Services: SES, SNS, SQS Course Objectives ... [-]

About The Course

Edureka's Real-Time Analytics with Apache Kafka course is designed to provide knowledge and skills to become a successful Kafka Big Data Developer. It will encompass the fundamental concepts like Kafka cluster, Kafka API to advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven etc. The course also covers installation & configuration of Kafka and other components like Hadoop, Spark, Storm, Maven etc.

Course Objectives

After the completion of Real-Time Analytics with Apache Kafka course at Edureka, you should be able to:

Understand Kafka and its components Set up an end to end Kafka cluster along with Hadoop and Yarn cluster Integrating Kafka with real-time streaming systems like Spark & Storm Describe the basic and advanced features involved in designing and developing a high throughput messaging system Use Kafka to produce and consume messages from various sources including real-time streaming sources like Twitter Understanding the insights of Kafka API Work on a real-life Project, implementing Twitter streaming with Kafka, Hadoop & Storm Who should go for this course? ... [-]

About the Course

The Splunk training course is specially designed to provide the requisite knowledge and skills to become a Splunk expert. The course encompasses fundamental concepts of Licensing, Indexing, Roles & Authentication, along with advanced topics like Clustering, Reports & Dashboards.

Course Objectives

After completion of the Splunk course at Edureka, you will be able to:

Understand Splunk Admin/Developer concepts Apply various Splunk techniques to visualize data in different kinds of graphs and dashboards Implement Splunk in the organization to analyze and monitor systems Configure alerts and reports for monitoring purposes Troubleshoot different application issues using SPL (Search Processing Language) Who should go for this Course? ... [-]

Course Details

Edureka’s Big Data Hadoop online training is designed to help you become a top Hadoop developer.

During this course, our expert instructors will help you:

Master the concepts of HDFS and MapReduce framework Understand Hadoop 2.x Architecture Setup Hadoop Cluster and write Complex MapReduce programs Learn data loading techniques using Sqoop and Flume Perform data analytics using Pig, Hive, and YARN Implement HBase and MapReduce integration Implement Advanced Usage and Indexing Schedule jobs using Oozie Implement best practices for Hadoop development Work on a real-life Project on Big Data Analytics Understand Spark and its Ecosystem Learn how to work in RDD in Spark Who should go for this Hadoop Course? ... [-]

About the Course

This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path.

Course Objectives

After completing the Apache Spark training, you will be able to:

Understand Scala and its implementation Master the concepts of Traits and OOPS in Scala programming Install Spark and implement Spark operations on Spark Shell Understand the role of Spark RDD Implement Spark applications on YARN (Hadoop) Learn Spark Streaming API Implement machine learning algorithms in Spark MLlib API Analyze Hive and Spark SQL architecture Understand Spark GraphX API and implement graph algorithms Implement Broadcast variable and Accumulators for performance tuning Project Who should go for this Course? ... [-]