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Unlock the future of energy with EnergyEdge's comprehensive classroom training on large-scale hydrogen production & electrolysis interfaces. Join us to revolutionize energy solutions!

Become your own car expert! Learn vital maintenance skills to save on repairs and keep your vehicle in top shape. #CarMaintenance

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content 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 Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Description: Aromatherapy is very useful for relaxation, healthy sleep, stress relief, emotional balance, skin care, respiratory health, green cleaning and for relief from muscle tension and pain. Aromatherapy can also be regarded as a healing art such as massage therapy or reflexology because society continues to focus on wellness and health consciousness. Aromatherapy is recognised as an excellent natural method for promoting wellness and enhance positive mood through fragrant substances. This aromatherapy course will teach you all the essentials of aromatherapy, oil safety, how essential oils are produced and common methods of use. You'll also learn to create a more natural, healthy lifestyle with Aromatherapy. Who is the course for? Aromatherapists, enthusiasts, and businessmen who are in the aromatherapy industry that wants to develop their skills and know-hows in aromatherapy. People who have an interest in essential oils and aromatherapy and want to be an expert on these. Entry Requirement This aromatherapy 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. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, 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 hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working 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 recognised 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 Diploma in Aromatherapy course will be very beneficial and helpful to hobbyists and these aromatherapy-related careers: Aroma Therapeutic Counsellor Custom Aromatherapy Blender for an Aromatherapy Bar Community Holistic Health Clinic Participator Aromatherapy Consulting Business Entrepreneur Aromatherapy Writer and Book Author Aromatherapy Tutor.   Diploma in Aromatherapy What is Aromatherapy? 00:15:00 History of Aromatherapy 00:15:00 The Definition of Aromatherapy 00:15:00 What are Essential Oils? 00:15:00 Essential Oil Safety Information 00:15:00 Administration of Essential Oils 00:30:00 The Art of Blending 00:15:00 Blending Basics 00:15:00 Harmonizing Your Blend 00:30:00 Aromatherapy Baths 00:15:00 Aromatherapy for Stress 00:15:00 Aromatherapy for Children 00:14:00 Application of Essential Oils 00:15:00 Table of the Basic Methods of Use of Essential Oils 00:15:00 The Holistic Approach 00:30:00 Understanding Disease / Pathology 00:30:00 The Benefits of a Holistic Aromatherapy Treatment 00:15:00 Additional Information on Aromatherapy Aromatherapy Extracted to Heal 01:00:00 Aromatherapy Essential and Scented Oils 01:00:00 Aromatherapy Oils 01:00:00 Living Well with Aromatherapy 01:00:00 Aromatherapy Solutions 00:30:00 Curing with Aromatherapy 00:30:00 Healing with Aromatherapy 01:00:00 Aromatherapy in Action 01:00:00 Extracted Oils in Aromatherapy 01:00:00 Aromatherapy Details 00:30:00 Choosing Aromatherapy 00:30:00 Healing the Body and Mind with Aromatherapy 00:30:00 Aromatherapy Healing You 01:00:00 Aromatherapy Blends 00:30:00 Aromatherapy Botanic Extracts 01:00:00 Using Aromatherapy in Healing 01:00:00 Finding Relief with Aromatherapy 00:30:00 What do theorists say about Aromatherapy? 00:30:00 Hope with Aromatherapy 01:00:00 Aromatherapy Expressions 01:00:00 Foreign Aromatherapy Treatments 01:00:00 Latin Aromatherapy Titles 01:00:00 Feeling Good with Aromatherapy 01:00:00 Aromatherapy Defining Science 01:00:00 Massage Therapy and Aromatherapy Working Together 01:00:00 Aromatherapy 01:00:00 Aromatherapy Products 01:00:00 Suggesting Aromatherapy 00:30:00 Stress Relievers and Aromatherapy 01:00:00 Mixed Emotions and Aromatherapy 01:00:00 Therapeutic Remedies with Aromatherapy 01:00:00 How do I choose? 00:30:00 A Mixed Variety of Aromatherapy Information 01:00:00 Conclusion 00:15:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Diploma in Aromatherapy 00:20:00 Final Exam Final Exam- Diploma in Aromatherapy 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Learn Piping and Instrumentation Diagrams (P&IDs) and enhance your engineering knowledge. Master P&ID symbols, control theory, and safety systems!

Description Anyone can master acrylic painting with the right skills! In this all-inclusive acrylic painting course, you will learn to achieve a wide range of painting techniques. Gain confidence to create any painting effect, style and image you desire! Learn from the nation's foremost acrylic expert and international best-selling author of acrylic painting books, including Acrylic Revolution. As a bonus gift, Instructor Nancy Reyner includes all four of her best-seller books as pdf's. Nancy's professional and easy-to-follow videos show you all the ways to use acrylic - from traditional painting methods such as glazing, stippling, color mixing and dry brushing, as well as NEW contemporary methods such as flinging, pouring, sanding, layering, and hundreds more painting tips to get successful results. With this course you get TONS OF GREAT STUFF. The Ultimate Acrylic Painting Course includes 30 videos, over 11 hours of video instruction and 4 fully illustrated pdf books, with hundreds of fun and exciting acrylic painting ideas and techniques. Also included are special tips to create successful paintings. Achieve a wide range of painting techniques in both Classic and Contemporary styles. Gain confidence to create any painting effect, style and image you desire! This course has a special feature. It never gets old! Once you finish the course it doubles as a professional reference guide. This course can be used in two ways; a do-it-yourself course AND a reference guide. Follow each video in order like a workshop. Use it again and again as a handy resource guide to quickly access acrylic techniques whenever you need to. Please note: This course already includes the following three courses taught by the same instructor: How to Gold Leaf & Acrylic Painting Over Gold Leaf; New and Easy Color Mixing for Acrylic or Oil Painters; and Secret Tricks to Pouring Acrylic Paint. Here at iStudy, we put our heart and soul into every single course we design. We make sure that all our courses are designed and developed by industry experts. Our aim is to always provide value to our learners with quality courses. Our learners are our top priority, and you as a learner will gain tremendous knowledge and skill on this topic from this The Ultimate Acrylic Painting Course. The certification that you will receive upon completing this The Ultimate Acrylic Painting Course will help to boost your resume and will help you stand out among your peers in the competitive job market. Our course will help you get employed in the relevant field and advance your career. Enjoy this expertly made course from iStudy. Enrol now! Why You Should Choose The Ultimate Acrylic Painting Course Lifetime access to the course No hidden fees or exam charges CPD Qualification Standards certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? The Ultimate Acrylic Painting Course is CPD Qualification Standards and CiQ accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD Qualification Standards and CiQ accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. The Ultimate Acrylic Painting Course 1-Introduction FREE 00:23:00 2-Acrylic Paint is a Different Animal 00:16:00 3-Paint Viscosities 00:10:00 4-Exploring Acrylic Binders 00:15:00 5-Acrylic is the Inventor's Toolbox 00:22:00 6-Classic Style Painting with Acrylic 00:18:00 7-Oil Effects with Acrylic 00:19:00 8-Perfect Color Mixing (1) 02:00:00 9-Surface Appeal 00:27:00 10-Pigment and Paints 00:09:00 11-Amazing Watercolor Effects with Acrylic 00:11:00 12-Truth About Over-Watered Acrylics 00:06:00 13-How to Make Acrylic Dry Slower 00:28:00 14-Blending and Soft Edges 00:09:00 15-Transparency and Glazing 00:27:00 16-Layering 00:09:00 17-How to Make Acrylic Dry Faster 00:05:00 18-Acrylic Painting Made Easier 00:07:00 19-Pouring Acrylic Part 1 00:25:00 20-Pouring Acrylic Part 2 00:53:00 21-Translucency and Atmospheric Veiling 00:09:00 22-Reflective Paints 00:36:00 23-How to Save Money 00:13:00 24-Mixed Media and Collage 00:12:00 25-Acrylic and Gold Leaf 01:44:00 26-Important Preparation Steps 00:12:00 27-Important Finishing Steps 00:11:00 28- Care and Cleaning of Your Brushes 00:06:00 29-Pulling it All Together 00:48:00 30-Conclusion 00:03:00 Additional Materials Resource - The Ultimate Acrylic Painting Course 00:00:00

Mechanic Training course is for those who want to advance in this field. Throughout this course, you will learn the essential skills and gain the knowledge needed to become well versed in Mechanic Training. Our course starts with the basics of Mechanic Training and gradually progresses towards advanced topics. Therefore, each lesson of this Mechanic : Mechanical Training is intuitive and easy to understand. So, stand out in the job market by completing the Mechanic Training course. Get an accredited certificate and add it to your resume to impress your employers. Along with the Mechanic : Mechanical Training course, you also get: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee When enrolling in this course, you will find 11 modules are loaded to the brim, condensed from years of experience and practice into just 2hours of high-quality instruction; you will have access to an extensive and in-depth body of knowledge. Course Modules: Safety Rules & Introduction to Tools General Maintenance for Car Mechanics Dashboard Indicator Lights Tires Internal Combustion Engines & Engine Oil The Cooling System The Fuel System The Electrical System The Drive Train Brakes Buying a Car CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Mechanic : Mechanical Training course. Requirements To enrol in this Mechanic : Mechanical Training course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Mechanic : Mechanical Training. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Course Overview: Are you ready to unlock the world of digital possibilities by understanding the art and science of data analytics? We live in an era where data back every decision and every action requires insightful analysis. Clive Humby said, "Data is the new oil, and it's the new oil, so it's an invaluable resource for companies worldwide. This comprehensive course covers a broad spectrum of data analytics, starting with an engaging 'Introduction to the World of Data,' before delving into the fundamental components like the 'Basics of Data Analytics,' 'Statistics for Data Analytics,' and the 'Actions Taken in the Data Analysis Process.' Each subsequent module is carefully designed to guide you through various stages of data analytics. You'll explore 'Data Mining,' work with 'Excel for Data Analytics,' and discover 'Tools for Data Analytics.' The curriculum wraps up with a focus on 'Data-Analytic Thinking' and 'Data Visualisation.' Enrol today and start your journey to becoming a data analytics expert! Key Features of the Course: This course comes with a CPD certificate, affirming your proficiency in data analytics. It offers 24/7 learning assistance to ensure you get the most out of your learning journey. The content is presented in easy-to-understand and engaging learning materials, carefully curated to make your journey in data analytics enlightening. Who is This Course For? This course suits professionals seeking to leverage data analytics in their respective fields, individuals aspiring to venture into the data science arena, and students keen to acquire contemporary skills for the digital age. What You Will Learn: Understand the fundamental concepts of data analytics. Apply statistical techniques to analyse large data sets. Implement effective strategies for data collection and storage. Master the art of data mining and extraction of valuable insights. Utilise Excel and other tools effectively for data analysis. Develop a data-analytic mindset for problem-solving. Translate data insights into compelling visualisations. Why Enrol in This Course: This course will open doors to many opportunities. You will learn from top-notch professionals, utilise quality learning materials and have access to trending and recently updated curriculum. Requirements: A basic understanding of computers A willingness to learn Career Path: The expertise gained from this Data Analytics course can pave your way into a variety of professions, such as: Data Analyst (£30,000-£60,000) Business Analyst (£35,000-£70,000) Market Research Analyst (£27,000-£55,000) Operations Analyst (£31,000-£62,000) Quantitative Analyst (£45,000-£85,000) Data Scientist (£50,000-£90,000) Data Engineer (£35,000-£75,000) Certification: On successful completion of this course, you will receive a CPD certificate, testifying your mastery in the field of data analytics. With this recognition, you can confidently showcase your skills and expertise in the professional world. Data analytics is a powerful tool that can be used to make better decisions, improve efficiency, and drive innovation. If you want to join this growing field, this course is for you! FAQ What do you mean by data analytics? Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract insights. What data analytics actually do? Data analytics helps businesses make better decisions by providing them with insights into their data. This can include insights into customer behavior, market trends, and product performance. What are the 5 data analytics? The 5 data analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Visual analytics: This type of analytics uses visual representations of data to make it easier to understand. What is data analytics examples? Here are some examples of data analytics: A retailer uses data analytics to track customer behaviour and identify trends. A bank uses data analytics to predict which customers are likely to default on their loans. A healthcare provider uses data analytics to identify patients who are at risk for certain diseases. What are 4 types of analytics? The 4 types of analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Why do we use data analytics? We use data analytics to make better decisions, improve efficiency, and drive innovation. Here are some of the benefits of using data analytics: Better decision-making: Data analytics can help businesses make better decisions by providing them with insights into their data. Improved efficiency: Data analytics can help businesses improve efficiency by identifying areas where they can save time and money. Driven innovation: Data analytics can help businesses drive innovation by identifying new opportunities and trends. Course Curriculum 13 sections • 13 lectures • 12:25:00 total length •Introduction to the World of Data: 01:00:00 •Basics of Data Analytics: 00:40:00 •Statistics for Data Analytics: 01:00:00 •Actions Taken in the Data Analysis Process: 00:55:00 •Gathering the Right Information: 01:00:00 •Storing Data: 01:15:00 •Data Mining: 01:00:00 •Excel for Data Analytics: 01:20:00 •Tools for Data Analytics: 01:20:00 •Data-Analytic Thinking: 01:10:00 •Data Visualisation That Clearly Describes Insights: 00:45:00 •Data Visualization Tools: 01:00:00 •Assignment - Data Analytics: 00:00:00

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