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Embark on a transformative journey with our MIG Welding and TIG Welding Training Level 3 Diploma, a comprehensive program meticulously designed to hone your welding skills. In the heart of the United Kingdom, where precision meets craftsmanship, this course stands as a gateway to excellence. With a staggering 92% success rate among graduates in the UK, our program combines theoretical expertise with hands-on training, ensuring you master the art of welding. Unleash your potential in this dynamic field, where each spark crafts a pathway to success. Learning Outcomes: Precision mastery of MIG welding techniques. Proficiency in TIG welding applications. Expertise in welding safety protocols. Interpretation of welding blueprints and schematics. Mastery of welding equipment setup and calibration. Seamless execution of welding joint configurations. Quality control in welding inspections. Application of advanced welding metallurgy principles. Who Is This Course For? Aspiring welders seeking Level 3 certification. Individuals aiming for advanced welding skills. Those pursuing a career in metal fabrication. Apprentices in welding and fabrication industries. Professionals aiming to upgrade their welding credentials. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path Welding Inspector: £30,000 - £45,000 annually. Fabrication Supervisor: £25,000 - £35,000 annually. Structural Welder: £22,000 - £30,000 annually. Pipe Welder: £28,000 - £40,000 annually. Aerospace Welding Technician: £35,000 - £50,000 annually. Marine Welding Specialist: £30,000 - £45,000 annually. Course Features Lectures 13 Quizzes 0 Duration Lifetime access Skill level All levels Language English Students 0 Assessments Yes MIG Welding and TIG Welding Training Level 3 Diploma Lecture1.1 Module 1: Introduction to Welding Lecture1.2 Module 2: Basic Welding Techniques Lecture1.3 Module 3: Electric Arc Welding Fundamentals Lecture1.4 Module 4: MIG and TIG Welding Lecture1.5 Module 5: Gas Welding and Cutting Lecture1.6 Module 6: Welding Metallurgy Lecture1.7 Module 7: Welding Design and Blueprint Reading Lecture1.8 Module 8: Welding Inspection and Quality Control Lecture1.9 Module 9: Fabrication Techniques Lecture1.10 Module 10: Advanced Welding Processes Show more items

Register on the R Programming for Data Science today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The R Programming for Data Science is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The R Programming for Data Science Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification 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. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the R Programming for Data Science, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next? 00:01:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00

[vc_row][vc_column][vc_column_text] Description The field of natural gas engineering is very much important for petroleum engineers specializing in gas processing technology. Are you a practical person that enjoys solving challenges? Do you think you'd be able to work out a problem, whilst under time constraints? Are you a people person, with a friendly, approachable nature? A Gas Engineer could be just the role you're looking for. The Gas Engineering Diploma will equip with the skills to develop and maintain systems engineering techniques involved with the production, distribution and use of gasses. This outlines an optimal balance between natural gas production, natural gas processing and gas transportation. An extensive treatise on natural gas engineering, both upstream and gas refining processes with key equipment and facility design will be covered. This course will also highlight the current status of production of natural gas through unconventional sources/technics and the applications of natural gas.  Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Gas Engineering Diploma is certified by CPD Qualifications Standards and CiQ. 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 background. Requirements Our Gas Engineering Diploma 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 After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Gas Engineering Module 01 Gas Legislation 00:15:00 Gas Safety Regulations 00:15:00 The Gas Safety (Installation and Use) Regulations 1998 02:00:00 Combustion/Flue Gas Analysis 02:00:00 Ventilation for Gas Appliances 00:30:00 Module 02 Gas Pipework 00:30:00 Tightness Testing 00:30:00 The Basics of Pressure Regulators 00:30:00 Checking and Setting Regulators 00:05:00 Gas Safety with Process Control Systems 01:00:00 Meter Installations 00:30:00 Testing of Carbon Monoxide and Carbon Dioxide Sensors 01:00:00 Mock Exam Mock Exam - Gas Engineering Diploma 00:20:00 Final Exam Final Exam - Gas Engineering Diploma 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Big Data Analytics with PySpark Power BI and MongoDB Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Big Data Analytics with PySpark Power BI and MongoDB Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Big Data Analytics with PySpark Power BI and MongoDB Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Big Data Analytics with PySpark Power BI and MongoDB Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Big Data Analytics with PySpark Power BI and MongoDB? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Big Data Analytics with PySpark Power BI and MongoDB there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Big Data Analytics with PySpark Power BI and MongoDB course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Big Data Analytics with PySpark Power BI and MongoDB does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Big Data Analytics with PySpark Power BI and MongoDB was made by professionals and it is compatible with all PCs, Macs, 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. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Big Data Analytics with PySpark Power BI and MongoDB is a great way for you to gain multiple skills from the comfort of your home.   Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:03:00 Installing Apache Spark 00:12:00 Installing Java (Optional) 00:05:00 Testing Apache Spark Installation 00:06:00 Installing MongoDB 00:04:00 Installing NoSQL Booster for MongoDB 00:07:00 Section 03: Data Processing with PySpark and MongoDB Integrating PySpark with Jupyter Notebook 00:05:00 Data Extraction 00:19:00 Data Transformation 00:15:00 Loading Data into MongoDB 00:13:00 Section 04: Machine Learning with PySpark and MLlib Data Pre-processing 00:19:00 Building the Predictive Model 00:12:00 Creating the Prediction Dataset 00:08:00 Section 05: Creating the Data Pipeline Scripts Installing Visual Studio Code 00:03:00 Creating the PySpark ETL Script 00:22:00 Creating the Machine Learning Script 00:24:00 Section 06: Tableau Data Visualization Installing Tableau 00:03:00 Installing MongoDB ODBC Drivers 00:03:00 Creating a System DSN for MongoDB 00:04:00 Loading the Data Sources 00:04:00 Creating a Geo Map 00:11:00 Creating a Bar Chart 00:03:00 Creating a Magnitude Chart 00:07:00 Creating a Table Plot 00:06:00 Creating a Dashboard 00:07:00 Source Code Source Code and Notebook

Course Overview Gas appliances should be maintained appropriately to avoid any hazards, including gas leaks, explosions, and carbon monoxide poisoning. Increase your knowledge of gas safety to keep yourself and your loved ones from gas-related threats.  This Gas Safety course will thoroughly introduce you to the safety rules for using gas. From the comprehensive lectures, you'll learn how to check a gas meter regulator and calculate ventilation requirements for gas appliances. Also, you'll learn how to check the working pressure of appliances and understand the need for emergency and evacuation procedures. Enrol right away! Learning Outcomes Understand how often should a gas check be carried out Know the process of tightness testing Familiarise yourself with gas safety precautions Be able to detect a gas leak Learn how to check a gas meter regulator Understand how to calculate ventilation requirements for gas appliances Be able to test the safety and efficiency of chimneys Who is the Course for? This Gas Safety Course is for people interested in having a comprehensive understanding of gas safety to avoid gas related hazards.  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. 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 also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at £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 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 Gas Safety course offers useful skills to possess and would be beneficial for any profession or career from any industry you are in, such as: Gas Technician Gas Safety Manager Gas Engineer Oil and Gas Manager Electrician Fire Safety Manager First Aider Gas Safety Module 01: Gas Safety Legislation 00:41:00 Module 02: Combustion 00:29:00 Module 03: Transmission System: Pipes and Flues 00:36:00 Module 04: Ventilation 00:27:00 Module 05: Tightness Testing 00:41:00 Module 06: Meter Regulator Check 00:28:00 Module 07: Appliance Pressures and Gas Rates 00:26:00 Module 08: Emergency Isolation Controls and Valves 01:15:00 Module 09: Gas Safety Devices and Controls 00:41:00 Module 10: Gas Warning Labelling 00:34:00 Module 11: Emergency and Evacuation Procedures 00:33:00 Module 12: Chimney Standards, Inspection and Testing 00:38:00 Module 13: Gas Appliances and Safety 01:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Master the skills of lead generation and increase your revenue. Also identify potential prospects and leads for your business through this course. Description: Prospecting and Lead generation are an essential element for the success of any sales company. This course will significantly enhance your ability to identify the ideal prospect. You will also learn about different methods of prospecting. You will learn about the traditional marketing methods, new marketing methods through this course. Explore the common errors made by lead generations. Understand the necessity of tracking activities and make adjustments. So if wish to learn comprehensive strategies and methods of prospecting and lead generation then enrol into this course, improve the sales leading to increased revenue. Who is the course for? This course is for sales and marketing individuals seeking for strategies and tactics to comprehensively get prospects and quality leads. Business owners, sales professionals and any individuals who are tasked with sales lead generation. 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. 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 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 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 Prospecting and Lead Generation Diploma Course is a useful qualification to possess, and would be beneficial for the following careers: Sales Lead Generator. Sales Development Representative. Lead Generation Specialist. Corporate Sales Manager. Lead Generation Sales Manager. Prospecting and Lead Generation Diploma Module One - Getting Started 00:30:00 Module Two - Prospecting 00:30:00 Module Three - Traditional Marketing Methods 01:00:00 Module Four - New Marketing Methods 01:00:00 Module Five - Generating New Leads 01:00:00 Module Six - Avoid Common Lead Generation Mistakes 00:30:00 Module Seven - Educate Prospects 00:30:00 Module Eight - The Pipeline 00:30:00 Module Nine - Follow up Communication 01:00:00 Module Ten - Track Activity 00:30:00 Module Eleven - Create Customers 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities Activities 00:00:00 Mock Exam Mock Exam- Prospecting and Lead Generation Diploma 00:20:00 Final Exam Final Exam- Prospecting and Lead Generation Diploma 00:20:00

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.

Are you inspired to create innovative products but still taking into considering the environmental effects? Or would you just like to get into renewing energy strategy? If yes, then the Diploma in Renewal Energy is perfect for you! Description: Renewable energy is a type of energy that is not depleted when used. In this course, you will be learning more about renewable energy and what are the types of renewable energy. You will know that solar power, wind power, hydropower, and biofuel are amongst this type. You will be learning about the future of these renewable energies in this course. Moreover, after this course, you will gain a good knowledge of the development process and the planning process involved in the creation of a new product considering the environmental effects. Who is the course for? Professionals who have an experience in Renewal Energy Beginners who have an interest in learning Renewal Energy 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. 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 Renewable Energy will be very beneficial and helpful to individuals who are interested in renewable energy and its different types and how they can affect the life of people. This can also help with the following careers: Energy Systems Specialists Field Service Technicians Power Electronics Engineer Program Manager. Renewable Energy Basics Introduction 00:30:00 What is Renewable Energy? 00:30:00 Types of Renewable Energy 00:15:00 Solar Power 00:30:00 Wind Power 01:00:00 Hydropower 01:00:00 Biofuel 00:30:00 The Possibilities of Renewable Energy 01:00:00 Renewable Energy Applications Government Incentives 01:00:00 Renewable Energy Is Key to Fighting Climate Change 01:00:00 Energy Audits 01:00:00 LEED 01:00:00 BREEAM 01:00:00 EPC 01:00:00 How to Choose Your Renewable Energy Sources 01:00:00 The Advantages and Disadvantages of Renewable Energy 01:00:00 Solar Geometry 01:00:00 Solar Chimney 00:30:00 Solar Wall 00:30:00 PV/Thermal 00:10:00 Passive Solar Heating 01:00:00 Solar Water Heaters 00:30:00 Solar Photovoltaic Technology Basics 00:30:00 Other Energy Saving Technologies 00:15:00 Underground Thermal Energy Storage (UTES) 00:15:00 Trigeneration / CCHP 00:15:00 Rainwater Harvesting 00:15:00 Fuel Cell 00:15:00 Earth Duct 00:15:00 Light Pipe 00:15:00 Conclusion 00:15:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Diploma in Renewable Energy 00:20:00 Final Exam Final Exam- Diploma in Renewable Energy 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Are you currently working in the Sales Industry? Are you aiming to know Sales Analysis and Sales Funnels? Do you want to know how communicate effectively and manage well your sales and business through Sales Funnels? Then it's time for you to learn how to communicate and sell effectively through this Diploma in Sales Analysis and Sales Funnels. Description This course gives lessons on the procedures and techniques utilised for recognising leads and prospects, looking into and setting up your business objectives and making the primary deals way to deal with potential new clients. The course presents the succession of steps business people take after each time they make a deal. You will find out about prospecting, a crucial piece of the offering procedure, where you look for new clients and how to catch up with your prompts transform them into deals. You will figure out how to utilise instruments, for example, coordinate advertising, frosty calling and online databases as sources to recognise leads. Moreover, you will also pick up a comprehension of the business pipe idea and how it delineates the benefit of creating an expansive pool of leads in light of the fact that a large portion of your prospects won't qualify or will drop out amid the offering procedure. Then, you will find out about the per-approach which is a basic stride that helps you gain your clients' trust and to offer deceptively. You will find out about utilising research strategies to recognise deals openings and utilising per-call arranging worksheets to record your business targets. You will pick up a comprehension of how to distinguish your clients' issues and objectives, how to conceptualise arrangements and create general and particular advantages explanations. This course will surely be helpful for you to be informed of Sales.  Who is the course for? Professionals, who work in the business or corporate setting, especially people who are in the marketing and sales department. Furthermore, it will help the top executives and managers to know the power sales method to have more profit for the business. People who are interested in learning more about sales management and are struggling with marketing and selling their products to the market. 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 CIT 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 hardcopy 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 Sales Analysis and Sales Funnels Diploma Course is a useful qualification to possess, and would be beneficial for the following careers: Account Manager Business Development Executive Producers Group Account Director Marketing Manager Sales Specialists Strategist And Many More! Module 01 What Is A Sales Funnel? 00:30:00 What is Internet Commerce? 00:30:00 What Can I Sell 00:30:00 ClickBank 00:30:00 Drop Shipping 00:30:00 Affiliate Marketing 00:30:00 The Link Between Products, Key Words and Prospects 00:15:00 Module 02 The Front-end and Back-end of Sales Funnels 00:30:00 Sales Funnel Success 00:30:00 Sales Funnel Planning 00:30:00 Putting Your Theory to Practice 00:30:00 Content Marketing 00:30:00 Article Marketing 00:30:00 Google's Adwords Program 00:30:00 Module 03 Marketing Offline 00:30:00 Blogs 00:30:00 Social Media 00:30:00 Auto Responders 00:30:00 The Joint Venture 00:30:00 Measuring Success 00:30:00 Top Sales Funnel Products 00:30:00 Mock Exam Mock Exam- Sales Analysis and Sales Funnels Diploma 00:20:00 Final Exam Final Exam- Sales Analysis and Sales Funnels Diploma 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description:  Want to develop your practical skills around the house? Are you a plumber, electrician or technician in training? This Diploma in Professional Repair Expert Course is the ultimate guide to home improvement, repairs and maintenance. In this online course, you will discover the tools, techniques and health and safety measures you will need to become handier around the home. Develop valuable practical skills and expand your knowledge of home maintenance with tips and expert course material that will help you save money and time. This handyman course will teach you to fix everyday issues such as malfunctioning tools, faulty wiring and basic plumbing emergencies. You'll also learn more advanced home improvements such as bathroom remodelling, insulation, woodwork and roof repair. This training course will benefit anyone who wants to be able to fix minor issues around the home, or wants a general introduction to DIY and professional repair. Who is the course for? Professionals who want to learn about Repair and make a business out of it. People who have an interest in home improvements by repairing it themselves. 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. 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 hardcopy 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 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 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 Professional Repair Expert is a useful qualification to possess, and would be beneficial for the following careers: Electrician Handyman Plumber Professional Repair Expert Repairs and Maintenance Manager Technician. Module 1: Home Improvements Choosing A Contractor 01:00:00 Pollution and Remodeling 00:30:00 Do It Yourself Bathroom Remodeling 00:30:00 Tips for Installing Leak-proof Showers 00:30:00 Do It Yourself Kitchen Remodeling 00:30:00 Installing Kitchen Cabinets 00:30:00 Choosing Countertops 00:30:00 Adding A Bedroom 00:30:00 Basement Problems Turned Around 00:30:00 Options for Lighting Your Home 00:30:00 How To Lay Indoor-Outdoor Carpet 00:30:00 Tips for Installing A Tile Floor 00:30:00 How To Prepare to Install Moulding 01:00:00 TV Stand Design Ideas 00:30:00 Home Air Conditioning Maintenance Made Easy 01:00:00 How To Diagnose Central Heating Systems 00:30:00 Insulation 00:30:00 Fixing Your Sink 00:30:00 Fixing Clogged Pipes and Drains 00:30:00 Replacing Screens 00:30:00 Replacing Doors 01:00:00 Six Tips For Decks Built to Last 00:30:00 Three Steps To Refinish Your Decks 00:30:00 Installing Your Hot Tub 00:30:00 Low Hassle Exterior Painting 00:30:00 Low Hassle Roof Repair 00:30:00 Gardens for Profit and Beauty 01:00:00 Judging Construction - Ground and Walls 00:30:00 Judging Construction - Ground and Walls 00:30:00 Choosing An Alarm System, Hardware AND People 00:30:00 Module 2: Professional Repairing Essential Tools For Your Toolbox 00:30:00 Woodworking Ideas And Skills 00:30:00 Basic Ideas Of Plumbing 00:30:00 Basic Ideas Of Electronics 01:00:00 Advanced Ideas And Skills Of Electronics 00:30:00 How To Protect Yourself From Injuries 01:00:00 Mock Exam Mock Exam- Diploma in Professional Repair Expert 00:30:00 Final Exam Final Exam- Diploma in Professional Repair Expert 00:30:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00