986 Data Science courses delivered Online

The digital landscape is brimming with opportunities. As our reliance on technology continues to burgeon, so does the demand for rigorous data protection, cyber security, and the legal frameworks surrounding them. At the epicentre of this evolution stands GDPR. Seize the opportunity to lead this thriving industry with our "GDPR Compliance, Data Protection & Cyber Security" bundle. This 8-course bundle seamlessly integrates key areas from GDPR to AML. Tailored for the digital age, it offers a comprehensive grasp of data protection, cyber security, and relevant laws, ensuring professionals are equipped for modern challenges. The CPD Accredited Eight Courses Are: Course 1: GDPR Course 2: Data Protection Course 3: Paralegal Training Course 4: Commercial Law Course 5: Cyber Law Online Course Course 6: Business Law Course 7: Cyber Security Awareness Training Course 8: Anti-Money Laundering (AML) Training Learning Outcomes of the GDPR Compliance, Data Protection & Cyber Security Bundle: Understand GDPR's core principles, compliance needs, and business implications. Implement best practices for safeguarding sensitive information. Grasp essential concepts in paralegal, commercial, cyber, and business law. Recognise and prevent potential money laundering activities in line with global regulations. Understand the interplay between commercial law and GDPR within business operations. Navigate GDPR, data protection, and related legal landscapes with confidence. Course 1: GDPR Dive deep into the core principles of the General Data Protection Regulation (GDPR). Understand its purpose, implications, and the necessary compliance mechanisms for businesses. Course 2: Data Protection Beyond just GDPR, explore the broader landscape of data protection. Equip yourself with the tools and strategies to safeguard sensitive information in various contexts. Course 3: Paralegal Training A cornerstone for those keen to step into the legal world, this course lays down the groundwork for legal principles, processes, and professional responsibilities. Course 4: Commercial Law Engage with the intricacies of commercial law. Gain insights into business contracts, trade, and the legal framework that governs commercial operations. Course 5: Cyber Law Online Course The digital realm is rife with its own set of legal challenges. This course delves into the regulations, rights, and responsibilities of online activities and digital interactions. Course 6: Business Law A comprehensive look into the rules, regulations, and laws that dictate how a business should operate. Ideal for professionals, entrepreneurs, and those interested in the legal side of business. Course 7: Cyber Security Awareness Training With cyber threats escalating, this course heightens awareness about the importance of cybersecurity. Learn the best practices to keep data safe and recognise potential cyber threats. Course 8: Anti-Money Laundering (AML) Training Tackle the dark side of finance. Grasp the essential principles behind AML, the mechanisms to detect suspicious activities, and the protocols to prevent illegal money movements. CPD 45 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This GDPR Compliance, Data Protection & Cyber Security Course are suitable for: Business Professionals: Understand GDPR's impact on operations. Legal Enthusiasts: Deepen knowledge in data and cyber law. IT Experts: Enhance cybersecurity and data protection strategies. Entrepreneurs: Navigate legal and compliance landscapes. Finance Experts: Grasp anti-money laundering protocols. DPOs: Master GDPR implementation and related areas. After Completing this bundle, anyone can later enroll in this following course: NCFE Level 2 Certificate in the Principles of Cyber Security Certified Governance & Compliance Audit Professional Association of Governance, Risk and Compliance Highfield Awarding Body for Compliance Exam SC-900: Microsoft Security, Compliance, and Identity Fundamentals Level 7 Diploma in International Business Law Requirements Without any formal requirements, you can delightfully enrol in this GDPR Compliance, Data Protection & Cyber Security course. Just get a device with internet connectivity, and you are ready to start your learning journey. Thus, complete this GDPR course at your own pace. Career path Our GDPR Compliance, Data Protection & Cyber Security course will prepare you for a range of careers, including: Paralegal GDPR Consultant Data Protection Officer (DPO) Cybersecurity Specialist Legal Consultant in Cyber Law Compliance Officer AML Analyst Business Law Advisor The Combined Salary Range for this bundle is approximately £35,000 to £135,000+ per annum. Certificates Certificate of Completion Digital certificate - Included Certificate of Completion Hard copy certificate - £9.99

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization. Overview After completing this course delegates will be capable of writing effective R code to manipulate, analyse and visualise data to enable their organisations make better, data-driven decisions. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Course Outline Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. The course will explore the following topics through a series of interactive workshop sessions: What is R? Basic R programming conventions Data structures in R Accessing data in R Descriptive statistics in R Statistical analysis in R Data manipulation in R Data visualisation in R Additional course details: Nexus Humans Beginning Data Analytics With R training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Beginning Data Analytics With R course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

In this course, we'll learn how to visualize data with real weather data downloaded from the US National Weather Service using the R programming language and RStudio. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.

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Overview This comprehensive course on Dialectal Behaviour Therapy (DBT) will deepen your understanding on this topic.After successful completion of this course you can acquire the required skills in this sector. This Dialectal Behaviour Therapy (DBT) comes with accredited certification which will enhance your CV and make you worthy in the job market.So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Dialectal Behaviour Therapy (DBT). It is available to all students, of all academic backgrounds. Requirements Our Dialectal Behaviour Therapy (DBT) is fully compatible with PC's, Mac's, Laptop,Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 7 sections • 25 lectures • 02:47:00 total length •About the Instructor: 00:02:00 •About the Course: 00:06:00 •Definition of Counselling: 00:07:00 •Counselling & Psychotherapy: 00:07:00 •Approaches in Counselling & Psychotherapy: 00:12:00 •What is DBT?: 00:05:00 •What is 'dialectical'?: 00:06:00 •History & Philosophy of DBT: 00:06:00 •What is 'Mindfulness': 00:08:00 •What is 'Distress Tolerance': 00:00:00 •What is 'Emotion regulation': 00:11:00 •What is 'Interpersonal Effectiveness': 00:06:00 •Multistage approach of DBT: 00:11:00 •The Stages of Treatment in DBT: 00:06:00 •Prioritising Treatments Targets: 00:05:00 •How to set up 'learning environment' for the client: 00:07:00 •How to conduct 'Behavioural Analysis': 00:11:00 •Uses of DBT: 00:03:00 •DBT in the treatment of Borderline Personality Disorder: 00:07:00 •DBT in the treatment of Depression: 00:09:00 •DBT for treatment of Anxiety & OCD: 00:08:00 •DBT for treatment of 'Eating Disorders': 00:08:00 •How effective is DBT?: 00:07:00 •Criticism and Limitations of DBT: 00:05:00 •Thank You and Good Bye!: 00:04:00

Overview This comprehensive course on Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 21 lectures • 01:34:00 total length •Introduction to types of ML algorithm: 00:02:00 •SVM - Python Implementation: 00:06:00 •Introduction to types of ML algorithm: 00:02:00 •Importing a dataset in python: 00:02:00 •Resolving Missing Values: 00:06:00 •Managing Category Variables: 00:04:00 •Training and Testing Datasets: 00:07:00 •Normalizing Variables: 00:02:00 •Normalizing Variables - Python Code: 00:03:00 •Summary: 00:01:00 •Simple Linear Regression - How it works?: 00:04:00 •Simple Linear Regreesion - Python Implementation: 00:07:00 •Multiple Linear Regression - How it works?: 00:01:00 •Multiple Linear Regression - Python Implementation: 00:09:00 •Decision Trees - How it works?: 00:05:00 •Random Forest - How it works?: 00:03:00 •Decision Trees and Random Forest - Python Implementation: 00:04:00 •kNN - How it works?: 00:02:00 •kNN - Python Implementation: 00:10:00 •Decision Tree Classifier and Random Forest Classifier in Python: 00:10:00 •SVM - How it works?: 00:04:00

Life can feel like a never-ending rollercoaster—one moment you're calm, the next you're spiralling. If your emotions seem to have a mind of their own, the DBT for Emotional Wellness Course is here to help. Built on Dialectical Behaviour Therapy (DBT) techniques, this course dives into proven methods for managing intense emotions, improving relationships, and learning to respond to life's ups and downs with more balance. It’s not about pretending things are fine—it’s about understanding yourself and handling emotions without letting them run the show. This course is perfect for anyone tired of overthinking at 2am or second-guessing every decision. You’ll explore topics like distress tolerance, emotional regulation, mindfulness, and interpersonal effectiveness—all from the comfort of your own space. Whether you're looking to improve your mental wellbeing or simply want to feel a bit more in control, the DBT for Emotional Wellness Course offers tools you can use in everyday situations without needing a psychology degree to understand them. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Introduction to DBT Module 2: Mindfulness Skills Training Module 3: Emotion Regulation Skills Module 4: Interpersonal Effectiveness Skills Module 5: Distress Tolerance Skills Module 6: Application of DBT in Specific Populations Module 7: Implementation of DBT in Clinical Settings Module 8: Ethical and Professional Considerations in DBT Practice Learning Outcomes: Understand the foundations of Dialectical Behavior Therapy principles. Apply mindfulness skills to enhance emotional awareness and self-regulation. Cultivate effective strategies for regulating and managing emotions. Develop interpersonal skills to navigate complex relationships with confidence. Acquire distress tolerance techniques for coping with challenging situations. Demonstrate ethical considerations essential for a successful DBT practice. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Mental health professionals Therapists Counsellors Psychologists Social workers Healthcare professionals Students in psychology-related fields Individuals passionate about emotional well-being Career path Clinical Psychologist Counselling Psychologist Mental Health Therapist Social Worker Psychotherapist Psychiatric Nurse Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Machine Learning is reshaping industries faster than you can say "algorithm". Our Machine Learning with Python Course is built for those who are genuinely curious about how machines learn, make decisions, and improve with data. With Python as your trusty companion, you’ll explore the key concepts and core techniques behind predictive modelling, supervised and unsupervised learning, and data-driven algorithms—all explained in a clear and digestible manner. No fluff, no filler—just solid learning with a structured approach. You’ll journey through essential modules that guide you from the fundamentals of machine learning to building models that actually do something meaningful. Whether you're brushing up your CV or aiming to understand how systems like recommendation engines or fraud detection work, this course offers insight that clicks. Python’s role in the process isn’t treated as a side note—it's woven through each section so you're building knowledge that’s both relevant and up-to-date in today’s data-focused world. If you’re ready to treat your brain to some serious logic and clever code, then this course has your name written in Pythonic syntax. Learning Outcomes: Understand the fundamentals of machine learning. Manipulate data using Numpy and Pandas libraries. Build and evaluate machine learning models using Sklearn pipeline and column transformer. Explore the world of data analysis with Pandas DataFrame. Contribute to the development of cutting-edge technology in the field of machine learning. The Machine Learning with Python course is designed to provide you with the skills and knowledge needed to develop and evaluate machine learning models using Python. In this course, you'll learn how to manipulate data using Numpy and Pandas libraries, build and evaluate machine learning models using Sklearn pipeline and column transformer, and explore the world of data analysis with Pandas DataFrame. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in machine learning development. By the end of this course, you'll have a deep understanding of the fundamentals of machine learning and how to contribute to the development of cutting-edge technology in this exciting field. With hands-on experience in manipulating data and building and evaluating machine learning models, you'll be well-equipped to start a career in machine learning. Machine Learning with Python Course Course Curriculum Section 01: Introduction Section 02: Numpy Library Section 03: Matplotlib Section 04: Polynomial Regression How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Career path Aspiring data scientists. Machine learning engineers. Developers interested in machine learning development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Managing Successful Machine Learning Projects Machine learning projects are a different beast. You have to secure access to the required data, often from multiple siloed sources. You have to switch back and forth between research mode and execution mode. You have to delicately guide data exploration towards a well-defined machine learning objective. You have to align this machine learning objective with your business objectives. You have to ensure that any sensitive data is adequately protected. How do you tame this beast and lead your project to successful completion? In this presentation, Dr. Neeraj Kashyap will share some practical tips for succeeding at machine learning, gained from his years at Google and in healthcare. We will discuss the life cycles of healthy machine learning projects and unhealthy ones so that you can identify impending disasters and avert them before they get out of hand. Throughout the session, we will emphasize data privacy, because no amount of intelligence is worth compromising your users for.