138 Data Processing courses

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 4.5 Days 27 CPD hours This course is intended for This is an intermediate course intended for IBM i system administrators, data processing managers and other individuals who implement and manage security, backup and recovery, system software and problem determination. This course is not recommended for s Overview Describe and implement the components of IBM i security, such as user profile, group profile, authorization list, adopted authority and object / resource security Develop a security plan for your Power Systems with IBM i Describe the options to implement security auditing Develop a plan to audit security on your Power Systems with IBM i Describe the IBM i availability products and features and choose the option(s) that best fit your company requirements Describe how to backup and recover user, IBM and full system data on your Power Systems with IBM i Develop a backup and recovery plan for your Power Systems with IBM i Describe the system diagnostics and problem determination procedures available on your Power Systems with IBM i Learn how to plan for, implement, and manage the ongoing operations of an IBM i. Class administration and introductions . IBM i overview and concepts . Management central overview . Security concepts and overview . System values . User security . Resource security . Security auditing . Designing security . IBM i availability overview . Disk management . Backup and recovery strategy using Save/Restore . Journal management . Commitment control overview . Backup and recovery planning . Problem determination . Overview of Systems Director Navigator for i . Introduction to BRMS .

The 'Linux Shell Scripting' course offers comprehensive training in shell scripting for Linux environments. From creating a local Linux shell scripting environment to network scripting and automation, learners will develop practical skills to automate tasks, process data, and improve efficiency using shell scripts. Learning Outcomes: Set up a local Linux shell scripting environment for practical learning. Create shell scripts for user and account management, including password generation and handling shell script arguments. Apply Linux programming conventions to maintain clear and efficient code. Develop shell scripts that parse command-line options for flexible user interaction. Utilize shell scripting for data processing, transformation, and reporting tasks. Automate network scripting and distributed systems for enhanced efficiency. Summarize the key concepts and techniques learned throughout the course. Access additional course extras and resources for further exploration and practice. Why buy this Linux Shell Scripting? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Linux Shell Scripting there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Linux Shell Scripting course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Linux Shell Scripting does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Linux Shell Scripting was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Linux Shell Scripting is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 01: Course Introduction Introduction and Course Overview 00:02:00 Course Downloads 00:03:00 Unit 02: Creating a Local Linux Shell Scripting Environment Creating a Local Lab Environment Using Vagrant and VirtualBox - Background 00:16:00 Exercise 1 Instructions - Creating a Local Linux Shell Scripting Lab Environment 00:28:00 Exercise 1 - Walkthrough - Part I - Windows Users Only 00:04:00 Exercise 1 - Walkthrough - Part I - Mac Users Only 00:02:00 Exercise 1 - Walkthrough - Part I - Linux (CentOS/RHEL) Users Only 00:03:00 Exercise 1 - Walkthrough - Part II - All Users 00:23:00 Unit 03: User and Account Creation - Shell Scripting Project 1 Section Introduction 00:03:00 Getting Started with Shell Scripting: Naming, Permissions, Variables, Builtins. 00:35:00 Special Variables, Pseudocode, Command Substitution, if Statement, Conditionals. 00:23:00 Exit Statuses, Return Codes, String Test Conditionals, More Special Variables. 00:18:00 Reading Standard Input, Creating Accounts, Username Conventions, More Quoting. 00:23:00 Exercise 2 - Instructions 00:12:00 Exercise 2 - Walkthrough 00:21:00 Unit 04: Password Generation and Shell Script Arguments - Shell Scripting Project 2 Random Data, Cryptographic Hash Functions, Text and String Manipulation. 00:31:00 Positional Parameters, Arguments, for Loops, Special Parameters 00:30:00 The while Loop, Infinite Loops, Shifting, Sleeping 00:16:00 Exercise 3 - Instructions 00:12:00 Exercise 3 - Walkthrough 00:20:00 Unit 05: Linux Programming Conventions - Shell Scripting Project 3 Advanced Standard Input, Standard Output, and Standard Error - Part I 00:13:00 Advanced Standard Input, Standard Output, and Standard Error - Part II 00:26:00 Exercise 4 - Instructions 00:05:00 Exercise 4 - Walkthrough 00:12:00 Unit 06: Parsing Command Line Options - Shell Scripting Project 4 Case Statements 00:20:00 Functions 00:33:00 Parsing Command Line Options with getopts, Part 1 00:20:00 Parsing Command Line Options with getopts, Part 2 00:18:00 Deleting and Disabling Linux Accounts, Part 1 of 4 (Finding Files) 00:11:00 Deleting and Disabling Linux Accounts, Part 2 of 4 (The userdel command) 00:05:00 Deleting and Disabling Linux Accounts, Part 3 of 4 (Archives with tar) 00:14:00 Deleting and Disabling Linux Accounts, Part 4 of 4 (Disabling Accounts) 00:08:00 Deleting Users - Exercise 5 - Instructions 00:14:00 Deleting Users - Exercise 5 - Walkthrough 00:33:00 Unit 07: Transforming Data / Data Processing / Reporting - Shell Scripting Project 5 Cut and Awk 00:22:00 Cut and Awk Demonstration Script: Open Network Ports 00:10:00 Sort and Uniq 00:18:00 Parsing Log Files - Exercise 6 - Walkthrough 00:15:00 Sed 00:29:00 Unit 08: Network Scripting & Automation of Distributed Systems: Shell Scripting Project 6 Configuring a Mini Network and Scripting for Remote Systems 00:30:00 Scripting Remote Commands - Walkthrough - Part 1 00:26:00 Scripting Remote Commands - Exercise - Instructions 00:12:00 Scripting Remote Commands - Walkthrough - Part 2 00:13:00 Unit 09: Course Summary Summary 00:08:00 Unit 10: Course Extras What Shell Scripting Is and Why You Should Learn It 00:10:00 Resources Resources - Linux Shell Scripting 00:00:00 Assignment Assignment - Linux Shell Scripting 00:00:00

Unlock the power of SQL with the Mastering SQL Programming course. This comprehensive program takes you from the fundamentals to advanced techniques in SQL programming. Starting with setting up your tools, you'll delve into browsing, filtering, and sorting data. Explore complex operations, including mathematical calculations and string concatenation, while learning to manage NULL values and use CASE statements effectively. Dive into SQL functions, nested queries, and join operations, gaining mastery over data manipulation and database definition. Whether you're a beginner or seeking to enhance your SQL skills, this course equips you with the knowledge to become a proficient SQL programmer. Learning Outcomes: Establish a solid foundation in SQL programming principles. Efficiently browse, filter, and sort data for data retrieval. Utilize AND, OR, and NOT operators for precise data filtering. Perform mathematical operations and string concatenation in SQL. Apply sorting, alias names, and record limiting to enhance result readability. Handle NULL values and implement DISTINCT and CASE statements. Master multiple-row and single-row functions for complex data processing. Create nested queries and perform data manipulation using SQL. Why buy this Mastering SQL Programming?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Mastering SQL Programming you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Mastering SQL Programming course is ideal for Aspiring database administrators and SQL developers. Individuals looking to enhance their data management skills. Business analysts seeking SQL proficiency for data analysis. Anyone interested in learning SQL programming from basics to advanced concepts. Prerequisites This Mastering SQL Programming was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path SQL Developer: £30,000 - £60,000 per year. Database Administrator (DBA): £35,000 - £70,000 per year. Data Analyst: £25,000 - £55,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. SQL Instructor/Trainer: Earnings vary based on experience and location.

In the digital age, where information flows like water and privacy is a precious commodity, there emerges a beacon of protection - the Data Protection (GDPR) Practitioner. Welcome to the Level 3 Certificate in Data Protection (GDPR) Practitioner, where laws become shields, rights become swords, and guardianship becomes your sacred duty. Prepare to embark on a journey with our Data Protection (GDPR) Practitioner that will not only safeguard data but also safeguard trust, integrity, and the very fabric of society. Enter a realm where the General Data Protection Regulation (GDPR) isn't just a set of rules but a manifesto for ethical stewardship. Through five foundational modules of Data Protection (GDPR) Practitioner course, we delve into the heart of GDPR, from its basic tenets to the intricate dance of lawful bases and rights. Each module in the Level 3 Certificate in Data Protection (GDPR) Practitioner course is a stepping stone towards mastery, guiding you through the labyrinth of responsibilities and obligations with clarity and confidence. Become the guardian of data rights, the defender of privacy, the architect of compliance, and a Data Protection (GDPR) Practitioner. With each lesson in the 'Level 3 Certificate in Data Protection (GDPR) Practitioner', you'll not only deepen your understanding of GDPR but also sharpen your skills as a practitioner, ready to navigate the complexities of data protection with finesse. So, if you possess a passion for privacy, a commitment to compliance, a desire to make a difference in the digital landscape, and aspire to become a Data Protection (GDPR) Practitioner, then join us on this transformative journey. With the Level 3 Certificate in Data Protection (GDPR) Practitioner, you're not just protecting data - you're protecting the very essence of trust in the digital age. Learning Outcomes: Understand the basics and nuances of GDPR. Explain GDPR principles and lawful bases for data processing. Identify and address data rights and breaches. Recognize responsibilities and obligations under GDPR. Implement GDPR compliance strategies. Navigate the complexities of GDPR as a practitioner. Level 3 Certificate in Data Protection (GDPR) Practitioner Module 01: GDPR Basics Module 02: GDPR Explained Module 03: Lawful Basis for Preparation Module 04: Rights and Breaches Module 05: Responsibilities and Obligations Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the Level 3 Certificate in Data Protection (GDPR) Practitioner course as proof of their achievement. You can order the endorsed certificate for Free to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this Level 3 Certificate in Data Protection (GDPR) Practitioner course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the Level 3 Certificate in Data Protection (GDPR) Practitioner course has been reviewed and approved by the QLS and meets the highest quality standards. Who is this course for? Level 3 Certificate in Data Protection (GDPR) Practitioner Who is this course for? The Level 3 Certificate in Data Protection (GDPR) Practitioner is designed for individuals seeking to enhance their skills and knowledge in the dynamic field of Data Protection (GDPR) like Data Protection Officers Compliance Managers Privacy Officers Legal Professionals IT Security Specialists Human Resources Managers Requirements Level 3 Certificate in Data Protection (GDPR) Practitioner To enrol in this Level 3 Certificate in Data Protection (GDPR) Practitioner course, all you need is a basic understanding of the English Language and an internet connection. Career path Level 3 Certificate in Data Protection (GDPR) Practitioner Welcome to Level 3 Certificate in Data Protection (GDPR) Practitioner! Get ready to embark on an exciting journey of learning and growth. Career Paths: Data Protection Officer Compliance Manager Privacy Officer Legal Counsel (Privacy) IT Security Specialist Certificates CPD Accredited PDF Certificate Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Dive into the heart of Big Data Infrastructure, exploring storage systems, distributed file frameworks, and processing paradigms. This course provides a comprehensive understanding of key components like HDFS, Apache Spark, and Cassandra, offering insights into their architecture, use cases, and real-world applications. This course is a deep dive into the complex landscape of Big Data Infrastructure. From unravelling the architecture of Apache Spark to dissecting the benefits of distributed file systems, participants gain expertise in assessing, comparing, and implementing various Big Data storage and processing systems. Scalability, fault-tolerance, and industry-specific case studies add practical depth to theoretical knowledge. After the successful completion of this course, you will be able to: Understand the Components of Big Data Infrastructure, Including Storage Systems, Distributed File Systems, and Processing Frameworks. Identify the Characteristics and Benefits of Distributed File Systems Such as Hadoop Distributed File System (H.D.F.S). Describe the Architecture and Capabilities of Apache Spark and its Role in Big Data Processing. Recognise the Use Cases and Benefits of Apache Cassandra as a Distributed N..O.S.Q.L Database. Compare and Contrast Different Big Data Storage and Processing Systems Such as Hadoop, Spark, and Cassandra. Understand the Scalability and Fault-tolerance Mechanisms Used in Big Data Infrastructure, Such as Sharding and Replication. Appreciate the Challenges Associated with Deploying and Managing Big Data Infrastructure, Such as Hardware and Software Configuration and Security Considerations. Explore the intricacies of Big Data Infrastructure, from understanding storage systems to unraveling the nuances of distributed file frameworks and processing engines. Gain a comprehensive view of scalability, fault-tolerance mechanisms, and industry-specific challenges through engaging case studies. Equip yourself to navigate the dynamic landscape of Big Data with confidence and expertise. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Big Data Infrastructure Self-paced pre-recorded learning content on this topic. Big Data Infrastructure Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Big Data Infrastructure Engineer Hadoop Administrator Spark Developer Cassandra Database Administrator Big Data Solutions Architect Data Infrastructure Manager NoSQL Database Analyst Big Data Consultant Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for networking and security professionals involved in the day-to-day management of a FortiAnalyzer appliance and FortiGate security information.. Overview Describe key features and concepts of FortiAnalyzer Deploy an appropriate architecture Manage ADOMs on both FortiAnalyzer and the devices that log to it Configure RAID Register supported devices Encrypt log transmission (SSL / IPSec) View & analyze current and historical logs (FortiView) Monitor events Apply disk quotas to log data from devices Backup, restore, and forward log data Use content archiving (summary and full) Understand the different stages of data processing, from receiving logs to compiling reports Understand SQL queries and datasets used by FortiAnalyzer reports Design datasets, charts, and custom reports Generate reports by schedule or on demand. In this 1-day class, you will learn how to use FortiAnalyzer. You will explore setup, registering supported devices and securing communications, managing logs and archives, and configuring both predefined and customized reports. Introduction to FortiAnalyzer Key features Key concepts Different FortiAnalyzer models Configuration & Administration Deployment requirements Configuration tools Configuring network settings Backing up system configuration Configuring administrative users Configuring, enabling, and assigning ADOMs Configuring RAID Device Registration Registered and unregistered devices Device registration methods Modifying options of a registered device Methods available to secure communication Configuring SSL encryption and encryption levels Configuring an IPsec tunnel Logs & Archives Logging basics The FortiView tab Configuring log arrays and event handlers Reports Reports and functionality Relationship between reports, charts, and datasets Effect of ADOMs on report settings SQL SELECT queries and clauses SQL functions and operators FortiAnalyzer-specific functions and macros Building or customizing charts Report features--creating, cloning, configuring

Level 1 Certificate in Understanding Data Protection and Data Security Unlock the world of Data Protection with our Level 1 Certificate course. Explore Data Protection Applications and delve into the essential Principles of GDPR. Learn about the Rights of Data Subjects, Data Protection Impact Assessments, Data Breaches, and the vital Exemptions in Data Protection. Learning Outcomes: Define Data Protection applications. Explain GDPR principles in Data Protection. Implement rights of a Data Subject. Evaluate Data Protection Impact Assessments (DPIA). Implement procedures for handling data breaches. Evaluate exemptions in Data Protection. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Level 1 Certificate in Understanding Data Protection and Data Security Course Syllabus Data Protection Applications: Explore the practical applications of data protection principles in various contexts, including business operations, information handling, and technology usage. Principles of GDPR: Gain a comprehensive understanding of the General Data Protection Regulation (GDPR) and its fundamental principles, including lawful processing, data subject rights, and accountability. Rights of Data Subject: Learn about the rights afforded to data subjects under data protection laws, such as the right to access, rectify, and erase personal data, and understand how to address these rights in compliance. Data Protection Impact Assessment (DPIA): Discover the importance of conducting DPIAs to assess and mitigate data protection risks associated with data processing activities, and learn how to perform effective DPIAs. Data Breaches: Understand the concept of data breaches, their implications, and the legal requirements for reporting and managing data breaches in accordance with data protection regulations. Exemptions in Data Protection: Explore specific exemptions and exceptions within data protection laws, including scenarios where data protection regulations may not apply or where limitations exist.

GDPR Training If you want to learn about GDPR Training Course and become an expert in the field, you have arrived at the right place. Industry experts designed this GDPR Training course to enable you to learn quickly and efficiently and at your own pace and convenience. The GDPR Training course contains all major GDPR topics in several lectures to help you learn more. This Training also covers the UK's implementation of the General Data Protection Regulation Act. GDPR Training Course aims to equip people and businesses with knowledge of the GDPR's obligations and measures. They must take to follow the regulation. The GDPR Training seeks to educate individuals on their data rights and the obligations of organizations when it comes to collecting, processing, and keeping personal data. The GDPR Training also includes best data protection, privacy practices, and advice on addressing data breaches and other problems. Why Choose GDPR Training Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the GDPR Training course. Main Course: GDPR Training Course Free Courses: Course 01: Strategic Management Course 02: Business Process Management Course 03: Minute Taking Others Included in this GDPR Training Course Free one PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the GDPR Training course] Course Curriculum of GDPR Training Module 01: Introduction and Checklist Module 02: Scope of Application of the GDPR Module 03: Organisational Requirements Module 04: Material Requirements Module 05: Rights of Data Subjects Module 06: Interaction with the Supervisory Authorities Module 07: Enforcement and Fines Under the GDPR Module 08: Special Data Processing Activities Module 09: Practical Implementation of the Requirements Under the GDPR Assessment Method After completing each module of the GDPR Training Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this GDPR Training course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? GDPR Training This GDPR Training Course is ideal for anyone who wants to learn about GDPR in detail. Requirements GDPR Training There are no specific requirements for this GDPR Training course because it does not require any advanced knowledge or skills. Career path GDPR Training After completing this GDPR Training Course, you may able to pursue a variety of promising career opportunities, such as:- Data Protection Officer:£70,000 - £100,000 per annum, Financial Planning Administrator:£18,000 - £24,000 per annum, Data Protection Advisor: £50,000 - £60,000 per annum, Data Manager: £45,000 - £50,000 per annum, Data Protection Co-Ordinator: £19.00 per hour.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost