39631 Courses in Cardiff delivered On Demand

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 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 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 course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Course Overview Enrich your knowledge of international politics, economy, and policies through the International & Comparative Policy course. This course is designed to equip learners with deep insights into international relations and help them pursue a career in the relevant industry. From the International & Comparative Policy course, you will receive detailed lessons on international relations. This course will help you grasp the theories of international relations like realism, liberalism, marxism and more. You will acquire a clear understanding of the international political economy. The highly informative modules will help you get acquainted with the recent global issues. This course will also include valuable information about international organizations. This International & Comparative Policy course will upgrade your knowledge of international relations within no time. Join the course and add a valuable skill set to your resume.  Learning Outcomes Understand the fundamentals of international relations Familiarize yourself with the theories of international relations Enrich your understanding of the international political economy Educate yourself on recent issues on international relations Explore the different international organizations Who is this course for? This International & Comparative Policy course is suitable for anyone interested to a pursue a career in this sector or who possess the interest to enrich their knowledge of international relations. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The International & Comparative Policy course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Diplomat Intelligence Specialist Political Analyst Economist Module 01: Understanding International Relations Understanding International Relations 00:17:00 Module 02: Historical Context Historical Context 00:21:00 Module 03: Actors in International Relations Actors in International Relations 00:15:00 Module 04: Theories in International Relations I: Realism and Liberalism Theories in International Relations I Realism and Liberalism 00:26:00 Module 05: Theories in International Relations II: The Marxist, The Constructivist and The Feminist Tradition Theories in International Relations II The Marxist, The Constructivist and The Feminist Tradition 00:24:00 Module 06: International Political Economy International Political Economy 00:20:00 Module 07: Recent Issues in International Relations Recent Issues in International Relations 00:24:00 Module 08: War War 00:23:00 Module 09: International Organisation International Organisations 00:17:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview Polish your knack for creative writing by enrolling in our Creative Writing Training Program for Writers course.This Creative Writing Training Program for Writers course will train you to develop your creative writing skills. It will teach you about various features of creative writing, exploring different genres. It will also introduce various techniques and sharpen your grammar and vocabulary. The completion of this innovative learning program will open a lot of pathways for you.Turn your passion for writing into a versatile career by enrolling today. 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 Creative Writing Training Program for Writers. It is available to all students, of all academic backgrounds. Requirements Our Creative Writing Training Program for Writers 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 22 sections • 104 lectures • 13:32:00 total length •Introduction to Children's Writing: 00:02:00 •Crucial Information: 00:02:00 •Keys to Success: 00:02:00 •A.I.M: 00:04:00 •Getting Ideas: 00:02:00 •Character Creation: 00:02:00 •Characters and Plotting: 00:04:00 •Planning Your Story: 00:03:00 •Storytelling: 00:03:00 •Point of View: 00:04:00 •Technical Writing Issues: 00:04:00 •Story Structure: 00:02:00 •Picture Books 1: 00:03:00 •Picture Books 2: 00:03:00 •Picture Books 3: 00:02:00 •Easy Readers: 00:03:00 •Transition Books: 00:01:00 •Chapter Books: 00:02:00 •Junior Novels: 00:02:00 •Young Adult Fiction: 00:04:00 •Dialogue: 00:05:00 •Show don't Tell: 00:05:00 •Conclusion: 00:02:00 •Introduction to Short Story Writing: 00:06:00 •Who Am I to Run This Course?: 00:07:00 •It's All About Mindset: 00:07:00 •What Tools Do You Need To Succeed?: 00:06:00 •Mental Preparation: 00:06:00 •Time Management: 00:06:00 •Self Belief: 00:03:00 •Goal Setting: 00:02:00 •Subject Matter: 00:04:00 •Genre: 00:07:00 •Scope: 00:03:00 •Getting Ideas: 00:03:00 •The 7-Step Story Generator: 00:02:00 •Characters & Character Creation: 00:04:00 •Creating Protagonists: 00:07:00 •Character Motivation & Interactions: 00:03:00 •Story & Setting: 00:03:00 •The 5-Point Story Structure: 00:02:00 •Style & Tone: 00:02:00 •Point of View & Tense: 00:03:00 •Plotting & The Twist: 00:05:00 •Building a Short Story Template: 00:03:00 •All Hail Scrivener!: 00:05:00 •The Opening Paragraph: 00:03:00 •Fast Writing: 00:05:00 •The Second Draft: 00:04:00 •Polishing: 00:05:00 •It's All About Presentation: 00:04:00 •Dealing With Rejection: 00:03:00 •Rights and Payment: 00:02:00 •Kindle Publishing: 00:04:00 •Conclusion Short Stories: 00:02:00 •Module 1 Part 1 - Getting Ideas and How to Develop Them: 00:30:00 •Module 1 Part 2 - Inspiration and Finding The Time: 00:30:00 •Module 2 - What It Means To Be A Writer: 00:30:00 •Module 3 - Characters: 00:30:00 •Module 4 - Plotting and Story Construction: 00:30:00 •Module 5 - Theme, Templates & Outlining: 00:30:00 •Module 6 - Show Don't Tell: 00:30:00 •Module 7 - Punctuation, Grammar and some Basic Writing Rules: 00:30:00 •Module 8 - Scene Structure, Exposition and Story Rules: 00:30:00 •Module 9 - Chapter Structure, Vision and Focus: 00:30:00 •Module 10 - Fast Writing Without Fear or Censure: 00:30:00 •Module 11 - Editing, Re-writing & Polishing: 00:30:00 •Module 12 - Finishing, Submission & Publication: 00:30:00 •Lesson One: The History of Horror: 01:00:00 •Lesson Two: Characters and Concepts: 01:00:00 •Lesson Three: Location and Backdrop: 01:00:00 •Lesson Four: Story and Plotting: 01:00:00 •Lesson Five: Writing Issues: 01:00:00 •Lesson Six: Horror Markets: 01:00:00 •Introduction to Writing Fantasy: 01:00:00 •Writing Fantasy - Lesson One - Imagining Fantasy: 01:00:00 •Writing Fantasy - Lesson Two - World Building, Maps and Visualization: 01:00:00 •Writing Fantasy - Lesson Three - Characters, Races and Societies: 01:00:00 •Writing Fantasy - Lesson Four - Plotting, Questing and Traveling: 01:00:00 •Writing Fantasy - Lesson Five - Point of View, Artifacts and Magic: 01:00:00 •Writing Fantasy - Lesson Six - Resolutions and Sequels: 01:00:00 •Amusing Article About Fantasy Writing (because it's true!): 01:00:00 •Fantasy: Recommended Author & Book List: 01:00:00 •Fantasy Societies Listing: 01:00:00 •Mythological Creature Listing: 01:00:00 •Introduction to Writing the Thriller: 00:30:00 •The Thriller: Form and Function: 00:30:00 •Writing the Thriller: Lesson One: 00:30:00 •Writing the Thriller: Lesson Two: 00:30:00 •Exercise 1 - Building Your Thriller: 00:30:00 •Writing the Thriller: Lesson Three: 00:30:00 •Exercise 2 - Building Your Thriller: 00:30:00 •Writing the Thriller: Lesson Four: 00:30:00 •Exercise 3 - Building Your Thriller: 00:30:00 •Writing the Thriller: Lesson Five: 00:30:00 •Exercise 4 - Building Your Thriller: 00:30:00 •Writing the Thriller: Lesson Six: 00:30:00 •Welcome to the Writer's Greatest Untapped Income Source: 00:15:00 •Introduction to Writing for TV, Cable and Satellite Networks: 01:00:00 •Your Ideas and How to Present Them: 01:00:00 •What's Different About TV Writing?: 01:00:00 •Scripting, Editing and the Story Bible: 00:30:00 •A Special Masterclass On Comedy Writing: 00:30:00 •The Money and How You Get Paid: 00:30:00

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Module 1: Disciplinary Procedure and Confidentiality Module 2: Investigations, Allegations and Suspensions Module 3: Notification Of A Hearing, The Right To Be Accompanied, And Procedure Module 4: Penalties, Their Effects, And Appeals Module 5: Holding Disciplinary Hearings And A Case Study Obtain Your Certificate Order Your Certificate of Achievement 00:00:00

Employment law online course consists of legal recruitment process, basics of employment law, and employment rights and many more.

Soap making course covers types of soap making, methods of soap making, basic equipment, ingredients, and many more.

Embark on a delightful journey of CupCake Baking with our course, from mastering the batter to launching your cupcake business. Learn the art of baking, frosting, decorating, and business strategies to turn your passion into profit.

Enhance your professional communication with our Writing Effective Email at Work course. Learn email etiquette, error-free writing, and advanced techniques to craft impactful emails tailored to diverse audiences and contexts. Boost your workplace communication efficiency today.

We will demonstrate how bitcoin and cryptocurrency work and provide information on how to invest your money in those currencies.

During this course, you’ll learn idioms and phrases you can use in Vietnam while travelling or living there.