Flash Sale! Don't Let Year-End Deals Slip Away – Enrol Now!

►►►General Data Protection Regulation (GDPR) and Cyber Security for Data Protection Officer Admission Gifts ◄◄◄

Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Data Protection Bundle provides unique insights and tools that can help you achieve your goals.

Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Data Protection bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level.

But that's not all. When you enrol in Data Protection Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free.

Courses Are Included In this General Data Protection Regulation (GDPR) and Cyber Security for Data Protection Officer Career Bundle:

➽ Course 01: General Data Protection Regulation (GDPR) & Cyber Security Management
➽ Course 02: Understanding Data Protection and Data Security
➽ Course 03: Data Science & Machine Learning with Python
➽ Course 04: Data Science & Machine Learning with R Training
➽ Course 05: Data Analytics
➽ Course 06: Data Entry Administrator Training
➽ Course 07: Big Data Analytics with PySpark Power BI and MongoDB
➽ Course 08: Statistics & Probability for Data Science & Machine Learning
➽ Course 09: SQL NoSQL Big Data and Hadoop
➽ Course 10: Quick Data Science Approach from Scratch
➽ Course 11: Spatial Data Visualization and Machine Learning in Python
➽ Course 12: Python Data Science with Numpy, Pandas and Matplotlib
➽ Course 13: Develop Big Data Pipelines with R & Sparklyr & Tableau
➽ Course 14: Google Data Studio: Data Analytics
➽ Course 15: Microsoft Access Databases Forms and Reports
➽ Course 16: Master JavaScript with Data Visualization
➽ Course 17: Cyber Security
➽ Course 18: Cyber Security Law Training
➽ Course 19: Cyber Security Incident Handling and Incident Response
➽ Course 20: Internet of Things Security
➽ Course 21: IT: Ethical Hacking & IT Security
➽ Course 22: Linux Security and Hardening
➽ Course 23: Security Management
➽ Course 24: Network Security
➽ Course 25: WordPress Security Mastery
➽ Course 26: CompTIA Security+ (SY0-601)
➽ Course 27: Document Control
➽ Course 28: Computer Science With Python
➽ Course 29: Diploma in Computer Programming
➽ Course 30: Touch Typing Masterclass

With Data Protection, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner.

Don't let this opportunity pass you by. Enrol in Data Protection today and take the first step towards achieving your goals and dreams.

Why Choose Us?

Get a Free CPD Accredited Certificate upon completion of this course
Get a free student ID card with this Training program (£10 postal charge will be applicable for international delivery)
This course is affordable and simple to understand
This course is entirely online, interactive lesson with voiceover audio
Get Lifetime access to the course materials
This course comes with 24/7 tutor support

Certificates

CPD Accredited Digital certificate

Digital certificate - Included

Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free.

CPD Accredited Hard copy certificate

Hard copy certificate - Included

Upon completing the course, you'll receive a CPD-accredited certificate at no additional cost. If you wish to order extra copies, they can be purchased separately for just £14.99 each.

General Data Protection Regulation (GDPR) & Cyber Security Management

Hard copy certificate - Included

After successfully completing the General Data Protection Regulation (GDPR) & Cyber Security Management, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme.

Description

Start your learning journey straightaway with our Data Protection Training!

Data Protection premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Data Protection is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience.

★★★ Course Curriculum of General Data Protection Regulation (GDPR) and Cyber Security for Data Protection Officer Bundle ★★★

➽ Course 01: General Data Protection Regulation (GDPR) & Cyber Security Management

GDPR UK Training

The Purpose and Principles of the UK GDPR
The Legal Foundations of GDPR
The Governance of GDPR
Protecting Personal Data
Exemptions to GDPR
International Transactions and National Security

Cyber Security Awareness Training

Introduction to Cyber Security
Cyber Attacks
Cybercrimes
Cyber Security and Data Breaches
Password Management
Internet Browsing
Office and Remote Work Security
Device Management
Preventative Measures

➽ Course 02: Understanding Data Protection and Data Security

GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Responsibilities and Obligations

➽ Course 03: Data Science & Machine Learning with Python

Course Overview & Table of Contents
Introduction to Machine Learning - Part 1 - Concepts, Definitions and Types
Introduction to Machine Learning - Part 2 - Classifications and Applications
System and Environment Preparation - Part 1
System and Environment Preparation - Part 2
Learn Basics of Python - Assignment
Learn Basics of Python - Assignment
Learn Basics of Python - Functions
Learn Basics of Python - Data Structures
Learn Basics of NumPy - NumPy Array
Learn Basics of NumPy - NumPy Data
Learn Basics of NumPy - NumPy Arithmetic
Learn the Basics of Matplotlib
Learn Basics of Pandas - Part 1
Learn Basics of Pandas - Part 2
Understanding the CSV data file
Load and Read CSV data files using the Python Standard Library
Load and Read CSV data files using NumPy
Load and Read CSV data files using Pandas
Dataset Summary - Peek, Dimensions and Data Types
Dataset Summary – Class Distribution and Data Summary
Dataset Summary - Explaining Correlation
Dataset Summary - Explaining Skewness - Gaussian and Normal Curve
Dataset Visualization - Using Histograms
Dataset Visualization - Using Density Plots
Dataset Visualization - Box and Whisker Plots
Multivariate Dataset Visualization - Correlation Plots
Multivariate Dataset Visualization - Scatter Plots
Data Preparation (Pre-Processing) - Introduction
Data Preparation - Re-scaling Data - Part 1
Data Preparation - Re-scaling Data - Part 2
Data Preparation - Standardizing Data - Part 1
Data Preparation - Standardizing Data - Part 2
Data Preparation - Normalizing Data
Data Preparation - Binarizing Data
Feature Selection - Introduction
Feature Selection - Uni-variate Part 1 - Chi-Squared Test
Feature Selection - Uni-variate Part 2 - Chi-Squared Test
Feature Selection - Recursive Feature Elimination
Feature Selection - Principal Component Analysis (PCA)
Feature Selection - Feature Importance
Refresher Session - The Mechanism of Re-sampling, Training and Testing
Algorithm Evaluation Techniques - Introduction
Algorithm Evaluation Techniques - Train and Test Set
Algorithm Evaluation Techniques - K-Fold Cross Validation
Algorithm Evaluation Techniques - Leave One Out Cross Validation
Algorithm Evaluation Techniques - Repeated Random Test-Train Splits
Algorithm Evaluation Metrics - Introduction
Algorithm Evaluation Metrics - Classification Accuracy
Algorithm Evaluation Metrics - Log Loss
Algorithm Evaluation Metrics - Area Under ROC Curve
Algorithm Evaluation Metrics - Confusion Matrix
Algorithm Evaluation Metrics - Classification Report
Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction
Algorithm Evaluation Metrics - Mean Absolute Error
Algorithm Evaluation Metrics - Mean Square Error
Algorithm Evaluation Metrics - R Squared
Classification Algorithm Spot Check - Logistic Regression
Classification Algorithm Spot Check - Linear Discriminant Analysis
Classification Algorithm Spot Check - K-Nearest Neighbors
Classification Algorithm Spot Check - Naive Bayes
Classification Algorithm Spot Check - CART
Classification Algorithm Spot Check - Support Vector Machines
Regression Algorithm Spot Check - Linear Regression
Regression Algorithm Spot Check - Ridge Regression
Regression Algorithm Spot Check - Lasso Linear Regression
Regression Algorithm Spot Check - Elastic Net Regression
Regression Algorithm Spot Check - K-Nearest Neighbors
Regression Algorithm Spot Check - CART
Regression Algorithm Spot Check - Support Vector Machines (SVM)
Compare Algorithms - Part 1: Choosing the Best Machine Learning Model
Compare Algorithms - Part 2: Choosing the Best Machine Learning Model
Pipelines: Data Preparation and Data Modelling
Pipelines: Feature Selection and Data Modelling
Performance Improvement: Ensembles - Voting
Performance Improvement: Ensembles - Bagging
Performance Improvement: Ensembles - Boosting
Performance Improvement: Parameter Tuning using Grid Search
Performance Improvement: Parameter Tuning using Random Search
Export, Save and Load Machine Learning Models: Pickle
Export, Save and Load Machine Learning Models: Joblib
Finalizing a Model - Introduction and Steps
Finalizing a Classification Model - The Pima Indian Diabetes Dataset
Quick Session: Imbalanced Data Set - Issue Overview and Steps
Iris Dataset: Finalizing Multi-Class Dataset
Finalizing a Regression Model - The Boston Housing Price Dataset
Real-time Predictions: Using the Pima Indian Diabetes Classification Model
Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset
Real-time Predictions: Using the Boston Housing Regression Model

=========>>>>> And 27 More Courses <<<<<=========

Who is this course for?

This bundle is ideal for:

Students seeking mastery in this field
Professionals seeking to enhance their skills
Anyone who is passionate about this topic

Requirements

This Data Protection doesn't require prior experience and is suitable for diverse learners.

Career path

This Data Protection bundle will allow you to kickstart or take your career in the related sector to the next stage.

General Data Protection Regulation and Cyber Security for Data Protection