202 Courses in Cardiff delivered Online

6 Week Qi-Gong Course For Winter When: Tuesday Evenings 6pm and Thursday Mornings (via Zoom) All classes are recorded so you can catch up in your own time. Dates: Tuesdays 6-7pm: January 7th, 14th, 21st, 28th and February 4th and 11th Thursdays 9-9.30am: January 9th, 16th, 23rd, 30th and February 6th and 13th Price: Concessions £60 – Standard £80 – Supporter £110 Suitable for everyone no matter your experience What if you could improve your health, strength and vitality, by simply slowing down? Slow your body Slow your breath Slow your mind When we slow down we give ourselves the opportunity to rejuvenate, to recharge and to harness our own life force energy or “Qi”. As we move towards winter we begin to turn inwards and connect to the power of Yin, the power of Water and the power of finding our own slow flow. In this 6 week course we will explore Qigong movements, meditations and breathwork practices to support this slowing down, giving us the space to connect to our Qi, to our subtle energy, giving us the tools to feel stronger, calmer and full of vitality. In Traditional Chinese Medicine we are entering the water phase of winter. The water element relates to the organs of the bladder and kidneys, our bones, our ears and our sense of hearing. The meridians of Kidney and Bladder run along our spine and the back of the body and when they are flowing well we feel supported by life, grounded and connected to the world around us. We can find our inner flow with ease, without effort or strain, enabling us to let go of our fears and move forward with courage. Qigong teaches us to come back to our bodies, to come back home, to a place of belonging that is inside all of us, a place of stillness in our the centre. Where we can better navigate life’s uncertainties with greater balance, ease, and steadiness. What is included: Six live 60min evening Qigong Classes on zoom Six live 30min morning Slow Flow classes on zoom Access to replays of all classes so you can catch up in your own time. Access to private Whats App group to share experiences and ask questions Weekly supporting material for home practice : – A Weekly video with a guided Qigong Practice or Meditation – PDF – explanations of each practice – Key acupuncture points for self massage Together we will: Learn a simple Slow Flow Qigong Movements to balance your nervous system and release stress. Explore the principal of Wu Wei – Release tension and move with effortless action Connect to your deep internal power – Learn to Standing in Emptiness (Wuchi) Strengthen Kidneys and support adrenal health Exercises to strengthen your spine and reduce back pain Clear the meridian pathways reducing stagnation and stiffness for increased flow and vitality. Learn self-massage techniques for key acupuncture points to release stress and calm our busy minds. Qigong means “To Nourish Life” and for me having a regular practice helps to bring me home to myself. What will i get out of this course? Deeper body awareness Increased strength and emotional stability Relax your mind and Improve mental clarity Enhanced breathing and improved circulation Strengthen your back and build a healthy spine Less physical tension and reduced pain More energy Less stress and anxiety Everyone is welcome to join the course no matter your experience. Please get in touch if you have any questions.

Gain a thorough grasp of time series analysis and its effects, as well as practical tips on how to apply machine learning methods and build RNNs. Learn to train RNNs efficiently while taking crucial concepts such as overfitting and underfitting into account. The course offers a useful, hands-on manner for learning Python methods and principles.

This course delves into the theoretical underpinnings of safety audit practices, from meticulous planning to advanced risk assessment and continuous improvement strategies.

‘Collage is a metaphor for any discovering, gathering ad reweaving of energy bits already formed and present in the universe. A new and personal creation can be made from the ever-present divine chaos of images all around us. Just choose, assemble, name and then inhabit your SoulCollage® cards’ -Seena Frost. Originator/birther of SoulCollage® When we come together to make SoulCollage® in community, amazing things happen. There is a magic in the subtlety built into this journeying that only requires you coming along with your curiosity and imagination. No artistic genius recquired whatsoever. Just your presence! Images have things to say to us. They can call us through our hearts, our instinctual knowing, and our open intuitive minds. In this sense, images offer us potals and openings to a deep wisdom stream. All you need to do is be open to the images that are asking for your attention. Then you make a collage, then you listen to what it wants you to know. It is simple, and prodound. Saturday offerings of SoulCollage® at The Soul Shed are a new online offering this year, following on from my other online offerings: A three part Soulcollage® primer and SoulCollage® with a friend. This one in May is the scond of these , and I am offering it bi-monthly. Its ideal for both beginners who would like to try SoulCollage®and experienced SoulCollagers who would like a boost of community creative energy to their practice ! It also will pair beautifully with the lunar-monthly New Moon offering at The Soul Shed - Sunday Openings. If you would like a collaging pack of 50 mixed images and six blank cards and are in the UK, please add on at the check out This is available until 12th May in the UK! I will also send out a free download of images before the event. Please bring your own magazines/old greetings cards/wrapping paper along to for a good stock of images to collage with too! More guidence on that after booking. Because SoulCollage® is a transformational experience, it is hard to convery this in writing. Here are some things past participants have said: Here are some things people have said about a SoulCollage® session at The Soul Shed: "Loved this workshop, from start to finish it made my heart sing.  It was a feast for the soul with words and images that were crafted into something rich and deep for me" -J.E "What stood out for me was how it just happened ....one thing alchemised into another thing” - L.B "I'd describe it as a good way to reconnect with your creative side, relax and maybe gain insight into what is happening inside you" - D.F. To receive the Soul Shed newsletter each month, please sign up here.

Dive into the enthralling world of numbers and equations with 'High School Math (Pure Mathematics 1),' a course designed to unravel the mysteries of mathematics. Your journey begins with an Introduction that lays the foundation, not just in terms of concepts but igniting a passion for the beauty of math. As you progress, Functions become more than just equations; they turn into a language that describes the universe. Imagine the elegance of Quadratic Equations unfolding before your eyes, revealing patterns and solutions that were once hidden. Embark on an adventure through Co-ordinate Geometry, where every point and line tells a story of space and dimensions. Sequence and Series will no longer be just about numbers; they will be about the rhythm and flow of mathematical logic. The course takes a deeper dive with the Binomial Theorem, Differentiation, Tangents and Normals, each module building on the last, turning complexity into simplicity. Stationary Points & Curve Sketching, and the Second Derivative Test open new vistas in understanding the nature of graphs. As you master Simultaneous Linear Equations, you're not just solving problems; you're unlocking a new perspective on mathematical relationships. The Essential Revision at the end is your bridge to excellence, consolidating your knowledge and skills. Learning Outcomes Develop a foundational understanding of key mathematical concepts and functions. Master the intricacies of quadratic equations and co-ordinate geometry. Explore and apply the principles of sequences, series, and the binomial theorem. Gain proficiency in differentiation and its practical applications in tangents and normals. Understand and implement techniques in curve sketching, stationary points, and optimisation. Why choose this High School Math (Pure Mathematics 1) course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this High School Math (Pure Mathematics 1) course for? High school students seeking to excel in mathematics. Individuals preparing for college-level math courses. Math enthusiasts looking to deepen their understanding of pure mathematics. Students requiring a comprehensive revision of key mathematical concepts. Anyone aspiring to pursue a career involving advanced mathematics. Career path Mathematician: £30,000 - £60,000 Data Analyst: £25,000 - £50,000 Actuarial Analyst: £28,000 - £55,000 Research Scientist (Mathematics): £32,000 - £60,000 Engineering Consultant: £27,000 - £55,000 Academic Tutor (Mathematics): £24,000 - £40,000 Prerequisites This High School Math (Pure Mathematics 1) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This High School Math (Pure Mathematics 1) 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. Course Curriculum Introduction Introduction 00:03:00 Functions What is Function? 00:07:00 Vertical Line Test 00:04:00 Value of a Function Graphically 00:08:00 Domain Range of a function Algebraically 00:13:00 Domain Range of a function Graphically 00:06:00 Even & Odd Functions 00:07:00 One to one Function 00:05:00 Composite Functions 00:09:00 How to draw Rational Functions- 1 00:04:00 How to draw Rational Functions- 2 00:10:00 Inverse of a function Algebraically 00:05:00 Inverse of a function Graphically 00:09:00 Practice Problems 00:15:00 Practice Problems 00:11:00 Resources Downloads 00:40:00 Quadratic Equations Introduction to Quadratic Equations 00:04:00 Solving Quadratic Equations by Factorization method 00:10:00 Writing in completed square form 00:08:00 Solving by completed square method 00:08:00 Sketching of Quadratic Graphs 00:11:00 Quadratic graphs using Transformations 00:06:00 Quadratic inequalities 00:11:00 Deriving Quadratic formula 00:05:00 Solving problems using Quadratic Formula 00:06:00 Equations reducible to Quadratic 00:07:00 Nature of Roots of Quadratic Equations 00:04:00 Nature of roots continues 00:12:00 Quadratic Equations (Resources) 00:50:00 Co-ordinate Geometry Distance formula 00:15:00 Mid point formula 00:05:00 Gradient of a line 00:10:00 Graphing using gradient and y intercept 00:02:00 Some standard lines 00:04:00 Slope intercept form y = m x +c 00:05:00 Point slope form and two point form 00:10:00 Intersection of line and parabola 00:09:00 Practice Problems from past papers (part 3) 00:12:00 Sequence and series Sequence and series ( video) 00:08:00 Arithmetic Sequence 00:10:00 General term of an A.P. 00:07:00 Finding given term is which term? 00:05:00 Writing sequence when two terms are known 00:08:00 Condition for three terms to be in A.P. 00:05:00 Sum to n terms of A.P. 00:06:00 Practice Problems 1 (A.P.) 00:08:00 Practice problems 3 (A.P.) 00:07:00 Practice problems 4 (A.P.) 00:10:00 Geometric Progressions 00:11:00 Sum to n terms in G.P. 00:14:00 Sum to infinite Terms in G.P. 00:13:00 Practice Problems 1 (GP) 00:13:00 Practice Problems 2 (GP) 00:06:00 Practice Problems based on AP and GP both 00:15:00 Sequence and series Text 1 00:40:00 Sequence and series Text 2 00:55:00 Binomial Theorem What is Factorial? 00:06:00 n-choose -r problems 00:06:00 Properties of n - choose -r 00:05:00 Expanding using Binomial Theorem 00:11:00 Finding the indicated term in the Binomial expansion 00:10:00 Finding the indicated term from end 00:09:00 Finding the coefficient for given exponent (index) of the variable 00:08:00 Finding the term independent of variable 00:05:00 Expanding in increasing and decreasing powers of x 00:09:00 Practice problems 1 00:12:00 Practice Problems 2 00:09:00 Practice problems 3 00:10:00 Past papers problems 1 00:15:00 Past Paper problems 2 00:13:00 Past Paper problems 3 00:09:00 Resources in this section 00:50:00 Differentiation What is Derivative? 00:07:00 Derivation of formula for Derivative 00:06:00 Differentiation by definition or First Principle 00:06:00 Power Rule 00:20:00 Practice Problems on Power Rule 1 00:07:00 Practice Problems on Power Rule 2 00:07:00 Practice Problems on Power Rule 3 00:05:00 Practice Problems on Power Rule 4 00:11:00 Practice Problems on Power Rule 5 00:07:00 Tangents and Normals Tangents and Normals- Basics 00:12:00 Practice- Tangents and Normals Part 1 00:16:00 Practice- Tangents and Normals Part 2 00:13:00 Practice- Tangents and Normals Part 3 00:11:00 Practice- Tangents and Normals Part 4 00:14:00 Stationary Points & Curve Sketching Stationary Points - Basics 00:13:00 Practice- Increasing Decreasing & Maxima Minima part 1 00:11:00 Practice- Increasing Decreasing & Maxima Minima part 2 00:12:00 Practice- Increasing Decreasing & Maxima Minima part 3 00:10:00 Second Derivative Test (Maximum & Minimum Points) Concavity-Basics 00:02:00 Concavity & Second Derivative 00:08:00 Second Derivative Test 00:09:00 Practice Problems on second derivative 00:04:00 Practice Problem of Maxima Minima using second derivative test Part 1 00:17:00 Practice Problem of Maxima Minima using second derivative test Part 2 00:10:00 Practice Problem of Maxima Minima using second derivative test Part 3 00:07:00 Practice Problem of Maxima Minima using second derivative test Part 4 00:07:00 Applications of Maxima and Minima Part 1 00:09:00 Applications of Maxima and Minima Part 2 00:07:00 Applications of Maxima and Minima Part 3 00:10:00 Applications of Maxima and Minima Part 4 00:09:00 Applications of Maxima and Minima Part 5 00:10:00 Applications of Maxima and Minima Part 6 00:08:00 Past Paper Problems on applications of maxima and minima Part 1 00:09:00 Past Paper Problems on applications of maxima and minima Part 2 00:09:00 Past Paper Problems on applications of maxima and minima Part 3 00:08:00 Past Paper Problems on applications of maxima and minima Part 4 00:07:00 Chain Rule 00:12:00 Rate of change part 1 00:05:00 Rate of change part 2 00:10:00 Rate of change part 3 00:07:00 Past Paper Problems using chain rule -1 00:06:00 Past Paper Problems using chain rule - 2 00:07:00 Past Paper Problems using chain rule 3 00:07:00 Past Paper Problems using chain rule -4 00:04:00 Simultaneous Linear equations Graphical Method of solving pair of linear equations 00:10:00 Video lecture on Graphical method 00:05:00 Method of elimination by substitution 00:10:00 Video lecture on substitution method 00:06:00 Method of elimination by equating the coefficients 00:10:00 Video lecture on equating coefficients method 00:09:00 Practice Problems on Linear equation 00:20:00 Essential Revision How to take up this course? 00:10:00 Background of Algebra 00:10:00 Language of Alg ebra 00:10:00 Finding Values of algebraic expressions 00:14:00 Fractional Indices 00:10:00 Higher Indices 00:07:00 Rules of Brackets 00:04:00 Simplification by removing brackets (BODMAS) 00:11:00 Simplifications of Algebraic Fractions 00:07:00 Solving complex Linear Equations in one variable 00:10:00 Factorization by taking out common factor 00:10:00 Factorization by grouping the terms 00:09:00 Factorize using identity a ² - b ² 00:07:00 Factorization by middle term split 00:12:00

Immersive Technologies (AR/VR) Introduction Course Step into the fascinating world of Augmented Reality (AR) and Virtual Reality (VR) with our Immersive Technologies Introduction Course. This course is designed to give you a clear understanding of the fundamental concepts behind AR and VR technologies. Whether you’re curious about how these technologies shape gaming, education, or other industries, you’ll gain essential knowledge that opens doors to an exciting realm of possibilities. The course will guide you through the basics, explaining key terms and showing how these innovative technologies are applied across various fields. With AR and VR increasingly making waves in different sectors, it’s important to grasp how they can change the way we interact with the digital world. Our course offers an engaging approach to learning these technologies, giving you the tools to understand their future potential. By the end, you’ll have a solid grasp of how AR and VR could evolve and influence industries like healthcare, entertainment, and retail. Perfect for those who want to explore the exciting, rapidly growing world of immersive tech. It’s time to learn about AR and VR, and see how this technology can truly transform the digital landscape. Key Features of Immersive Technologies (AR/VR) Introduction Course: 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 of Immersive Technologies (AR/VR) Introduction Course: Module 01: Introduction to Immersive Technologies (ARVR) Module 02: Understanding Augmented Reality (AR) Module 03: Exploring Virtual Reality (VR) Module 04: Creating Immersive Content for ARVR Module 05: User Experience (UX) Design in ARVR Module 06: ARVR Applications Across Industries Module 07: Future Trends and Challenges in ARVR Learning Outcomes of Immersive Technologies (AR/VR) Introduction Course: Understand the fundamentals of immersive technologies, including AR and VR. Comprehend the intricacies of Augmented Reality and its practical applications. Explore Virtual Reality landscapes and their impact on user experiences. Develop skills in crafting engaging and immersive content for ARVR environments. Gain proficiency in User Experience (UX) design within the ARVR context. Analyze the applications of ARVR across various industries and predict future trends. Accreditation This Immersive Technologies (AR/VR) Introduction 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 Immersive Technologies (AR/VR) Introduction 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? Enthusiasts curious about immersive technologies and their real-world applications. Designers aspiring to specialize in UX within the ARVR landscape. Content creators interested in developing engaging experiences for AR and VR. Professionals across industries seeking insights into ARVR applications. Innovators and tech enthusiasts eager to explore future trends in ARVR. Career path AR/VR Content Creator UX Designer for Immersive Technologies AR Applications Developer VR Simulation Engineer AR/VR Solutions Architect Immersive Technology Consultant 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.

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

Particle Physics Course Overview This Particle Physics course offers a comprehensive introduction to the fundamental constituents of matter and the forces governing their interactions. Learners will explore the nature of elementary particles, the structure of the atomic nucleus, and the principles behind nuclear physics. The course also covers the technology behind particle accelerators and radiation detectors, providing insight into modern experimental methods. By completing this course, learners will gain a solid understanding of the Standard Model of particle physics and the key concepts that underpin contemporary physics research. This knowledge will equip students with the theoretical and analytical skills essential for further study or careers in physics, research, and related scientific fields. Course Description Delving deeply into the world of subatomic particles, this course covers the classification and properties of elementary particles, the composition and behaviour of atomic nuclei, and the foundational aspects of nuclear physics. Learners will study the design and function of particle accelerators and radiation detectors, essential tools in particle physics experiments. The course elaborates on the Standard Model, explaining its role in unifying particle interactions and forces. Through engaging lectures and detailed explanations, students will develop critical thinking and analytical skills necessary to understand cutting-edge physics. Suitable for those with a keen interest in physics, the course fosters a clear understanding of complex concepts and prepares learners for advanced academic or professional pathways within scientific research and technology sectors. Particle Physics Curriculum Module 01: Introduction to Particle Physics Module 02: Elementary Particles Module 03: The Nucleus Module 04: Nuclear Physics Module 05: Particle Accelerators Module 06: Radiation Detectors Module 07: The Standard Model (See full curriculum) Who is this course for? Individuals seeking to understand the fundamental principles of particle physics. Professionals aiming to develop their knowledge for careers in physics or scientific research. Beginners with an interest in the composition of matter and the universe. Students preparing for advanced study in physics or related scientific disciplines. Career Path Research Scientist in Particle or Nuclear Physics Laboratory Technician in Physics or Engineering Science Communicator or Educator specialising in Physics Technical Specialist in Particle Accelerator Facilities Analyst in High-Energy Physics or Related Industries

The "Fundamentals of Metaphysics" course delves into the heart of philosophical inquiry, exploring the nature of reality, existence, and the fundamental structures that underpin the universe. It provides a profound understanding of key metaphysical questions that have intrigued thinkers for centuries, such as what it means to exist, what constitutes reality, and how the mind relates to the material world. With engaging lessons and thought-provoking discussions, students will explore diverse theories from classical philosophy through to contemporary perspectives. Throughout the course, you will examine critical concepts like substance, causality, time, and space, all while engaging with the writings of the great philosophers who shaped our understanding of metaphysics. By the end of the course, you will have gained a deeper understanding of the world around you, armed with philosophical tools to question assumptions and broaden your intellectual horizons. Whether you’re new to philosophy or looking to refine your knowledge, this course offers a clear and accessible introduction to the foundational ideas that have shaped metaphysical thought. 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 of Module 01 : Introduction to Metaphysics Module 02 : Core Subjects of Metaphysics Module 03 : History of Metaphysics Module 04 : Fundamental Questions of Existence Module 05 : New Age Movement and Metaphysics Module 06 : Metaphysics and the Supernatural Module 07 : Metaphysics, Religion and Occultism Module 08 : Other Metaphysical Concepts Learning Outcomes: Grasp Core Metaphysical Concepts Trace the Evolution of Metaphysical Thought Examine Fundamental Questions of Existence Analyse the Impact of the New Age Movement Explore the Intersection of Metaphysics and the Supernatural Evaluate the Relationship between Metaphysics, Religion, and Occultism 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. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Philosophical Enthusiasts Seeking In-Depth Knowledge Students of Theology and Religious Studies Seekers of Profound Spiritual Understanding Individuals Exploring the Paranormal Scholars of Ancient and Modern Philosophy Those Intrigued by Metaphysical Discourse Philosophers and Thinkers Seeking Broadened Perspectives Academics and Researchers Delving into Metaphysical Studies Career path Philosophy Lecturer Theological Researcher Occult Specialist Paranormal Investigator Spiritual Counselor Metaphysical Writer or Researcher 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.

This course is designed to explore creative potential and hone artistic skills using ChatGPT. It covers how to use ChatGPT, generate ideas, research for a novel, create comics, and use other AI tools. Additionally, the course introduces ChatGPT for storytelling by providing prompts and refining its output to generate story ideas and characters.