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Certificate in Fire Safety Training will assist you in producing the best possible outcome by mastering the skills. Those who want to succeed must enrol in the course Certificate in Fire Safety Training. By completing this course, you will acquire the skills required to become an expert in a comparable field. The basics of our Certificate in Fire Safety Training course are covered first, and then we move on to more advanced material. The lessons in this Certificate in Fire Safety Training course are therefore clear and easy to understand. Courses you'll get: Course 01: Certificate in Fire Safety Training Course 02: Fire Extinguisher Technician Course 03: Basic Life Support (CSTF): Anaphylaxis Course 04: Oxygen First Aid Training Course 05: CPR (Cardiopulmonary Resuscitation) Training Course 06: Health & Safety: First Aid Certificate in Fire Safety Training Course Basic Learning Outcomes: After completing this highly appreciated Certificate in Fire Safety Training course, you'll be a competent expert, besides- You can give assistance related to the Certificate in Fire Safety Training with complete knowledge and confidence. You'll be competent and proficient enough to explore Certificate in Fire Safety Training related job fields on your own. Furthermore, you can train up others and grow an efficient peer community in your locality and serve people. It will enhance your portfolio, you can use the certificate as proof of your efficiency to the employer. It will boost up your productivity, you can use the skill and credentials, and become more competent in your vocation with increased earning Key Highlights of Certificate in Fire Safety Training Course: CPD Accredited Course Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee Lifetime Access & 24/7 Support Self-paced Course Modules Certificate in Fire Safety Training Module 01: Introduction to Fire Safety Module 02: Fire Safety Legislation Module 03: Measures of Fire Safety Module 04: Fire Emergency Evacuation Procedures Certification: CPD Accredited (CPD QS) Certificate Digital (PDF) & Hard Copy certificates are available CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Certificate in Fire Safety Training course. This course particularly recommended 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 skill. Requirements Students seeking to enrol for Certificate in Fire Safety Training course should meet the following requirements; Basic knowledge of English Language Be age 16 years or above Basic Knowledge of Information & Communication Technologies for studying online or digital platforms. Stable Internet or Data connection in your learning devices. Career path After completing this course, you can explore trendy and in-demand jobs related to Certificate in Fire Safety Training. Fire Surveyor Fire Alarm Engineer Firefighter Fire Risk Assessor Fire Safety Consultant Fire Advisor Fire Engineer Fire Marshal Fire Stopper Certificates Certificate of completion Digital certificate - Included After successfully completing this course, you can get CPD accredited digital PDF certificate for free. Certificate of completion Hard copy certificate - £9.99 After successfully completing this course, you can get CPD accredited hardcopy certificate for free. The delivery charge of the hardcopy certificate inside the UK is £3.99 and international students need to pay £9.99 to get their hardcopy certificate.
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*** A Better Pathway for Rapid Growth! Limited Time Opportunity; Hurry Up! *** Ignite your dynamic career and strengthen your deep insight knowledge by signing up for Product Management: From Planning to Financial Analysis. This course is the ideal approach for you to obtain a thorough understanding and knowledge of the subject. We are concerned about the progression of your career. Therefore, after conducting extensive studies and consulting with experienced personnel, we formulated this outstanding course to improve your pertinent skills. In this easy-to-digest Product Management: From Planning to Financial Analysis course, you will get exclusive training, which will enable you to stand out in this competitive market. However, the Product Management: From Planning to Financial Analysis course covers all of the recent materials in order to keep you up to date with the job market and make you a good fit for your career. This top-notch course curriculum comprises basic to advanced levels of modules that will increase your skillsets. After completing this Programme, you will attain the productivity to succeed in your organisation. So, if you are eager to see yourself in a gratifying Product Management: From Planning to Financial Analysis career, then enrol in our course today! What will make you stand out? On completion of this Product Management: From Planning to Financial Analysis online course, you will gain: CPD Certified Product Management: From Planning to Financial Analysis Course After successfully completing the Course, you will receive a FREE PDF Certificate as evidence of your newly acquired abilities. Lifetime access to the whole collection of Product Management: From Planning to Financial Analysis learning materials. The Product Management: From Planning to Financial Analysis course online test with immediate results Enroling in the Course has no additional costs. You can study and complete the course at your own pace. Study for the Product Management: From Planning to Financial Analysis course using any internet-connected device, such as a computer, tablet, or mobile device. The substantial Product Management: From Planning to Financial Analysis is designed to help you demonstrate the preliminary to in-depth level of learning regarding this topic. Moreover, you will be provided with the most knowledgeable and informative modules for your lifetime by enroling in this course just once. Furthermore, as you proceed through the modules of this course, you will discover the fundamentals of Product Management: From Planning to Financial Analysis and explore the key topics such as: Product Management: From Planning to Financial Analysis Module 01: Introduction to Product Management Module 02: Product Classification Module 03: Developing the Product Plan Module 04: New Product Development Module 05: Levels of a Product and Product Life Cycle Module 06: Product Pricing Strategy Module 07: Product and Brand Portfolio Analysis Module 08: Channels Management Module 09: Basics of Marketing for Products Module 10: Financial Analysis for Product Management Therefore, reinforce your knowledge and furnish your skills by enroling in our Product Management: From Planning to Financial Analysis course. Take one step closer to achieving your goal. Show off your new skills with a certificate of completion When you have finished all of the Product Management: From Planning to Financial Analysis course lectures, a digital certificate will be available for download. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Product Management: From Planning to Financial Analysis Course the Right Option for You? This Product Management: From Planning to Financial Analysis course is recommended for anyone who is interested in learning more about this topic. You'll learn the fundamental ideas and gain a comprehensive understanding of the topic by taking this course. This Product Management: From Planning to Financial Analysis course is open to everybody. You can access the course materials from any location in the world and there are no requirements for enrolment. You should enrol in this Product Management: From Planning to Financial Analysis course if you: Aspire to understand Product Management: From Planning to Financial Analysis better. Already working on Product Management: From Planning to Financial Analysis and am eager to learn more. Is a student pursuing a relevant field of study? Trying to get a job in related fields. Requirements Without any formal requirements, you can delightfully enrol in this Product Management: From Planning to Financial Analysis course. Just get a device with internet connectivity and you are ready to start your learning journey. Thus, complete this Product Management: From Planning to Financial Analysis course at your own pace. Career path The aim of this exclusive Product Management: From Planning to Financial Analysis course is to help you toward your dream career. 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Overview This comprehensive course on Develop Big Data Pipelines with R & Sparklyr & Tableau will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Develop Big Data Pipelines with R & Sparklyr & Tableau comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Develop Big Data Pipelines with R & Sparklyr & Tableau. It is available to all students, of all academic backgrounds. Requirements Our Develop Big Data Pipelines with R & Sparklyr & Tableau is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 6 sections • 20 lectures • 02:59:00 total length •Introduction: 00:12:00 •R Installation: 00:05:00 •Installing Apache Spark: 00:12:00 •Installing Java (Optional): 00:05:00 •Testing Apache Spark Installation: 00:03:00 •Installing Sparklyr: 00:07:00 •Data Extraction: 00:06:00 •Data Transformation: 00:18:00 •Data Exporting: 00:07:00 •Data Pre-processing: 00:18:00 •Building the Predictive Model: 00:10:00 •Creating the Prediction Dataset: 00:10:00 •Installing Tableau: 00:02:00 •Loading the Data Sources: 00:05:00 •Creating a Geo Map: 00:12:00 •Creating a Bar Chart: 00:08:00 •Creating a Donut Chart: 00:15:00 •Creating the Magnitude Chart: 00:09:00 •Creating the Dashboard: 00:15:00 •Source Code: 00:00:00
Course Overview: According to a report by the World Economic Forum, data analysts and scientists are among the top emerging job roles. The "Data Analytics with Tableau" course is tailored to equip learners with the vital skills required to excel in this dynamic field. The course delves into the intricacies of data visualisation and analysis using Tableau, a leading software in the industry. It's not merely about understanding data but transforming it into actionable insights that drive business decisions. The course is structured to provide a comprehensive understanding of various aspects of data analytics, including sales, HR, and shipping analytics.Don't miss this opportunity to advance your career with cutting-edge skills in data analytics. Enrol in "Data Analytics with Tableau" now and embark on a journey of professional growth and endless possibilities! Key Features of the Course: CPD Certificate: Upon completion, you will receive a prestigious Continuing Professional Development (CPD) certificate, recognised globally for enhancing your career prospects. 24/7 Learning Assistance: Our dedicated support team ensures you receive prompt assistance, providing a seamless learning experience. Who is This Course For? This course is tailored for individuals who aspire to become data analysts, business intelligence professionals, marketing strategists, or decision-makers seeking to leverage data effectively. No experience with Tableau or coding is required, making it accessible and engaging for beginners. What You Will Learn: Data Analytics with Tableau, This course covers a wide range of topics, starting with connecting and preparing data, where you will learn how to import, clean, and transform data to make it analysis-ready within Tableau. Next, you will master the art of building insightful charts and visualisations using Tableau's rich set of tools, enabling you to communicate data trends and insights effectively. Additionally, you will explore the creation of captivating headline cards and interactive dashboards, gaining expertise in presenting key information and facilitating data exploration. Real-world projects, including Discount Mart, Green Destinations, Super Store, Northwind Trade, and Tesla, will provide you with outstanding experience in applying Tableau to solve practical data challenges. Lastly, you will develop a solid understanding of database concepts and learn to create compelling data stories using Tableau's storytelling features. By the end of this course, you will have the skills and confidence to make data-driven decisions and communicate insights effectively using Tableau. Why Enrol in This Course: Join the recently updated top-reviewed Data Analytics course with Tableau to keep you at the forefront of the field. Expand your analytical skills, unlock career opportunities, and stay current in the rapidly evolving world of data analytics by mastering Tableau, the industry-standard tool for visual analytics. Requirements: No prior experience with Tableau or coding is required. All you need is a computer with internet access, a curious mind, and a passion for exploring the world of data analytics. Career Path: By acquiring data analytics skills with Tableau, you open doors to exciting career paths, such as: Data Analyst (Average Salary: £35,000 - £45,000) Business Intelligence Analyst (Average Salary: £40,000 - £55,000) Marketing Analyst (Average Salary: £30,000 - £40,000) Financial Analyst (Average Salary: £35,000 - £50,000) Data Visualization Specialist (Average Salary: £40,000 - £60,000) Database Administrator (Average Salary: £40,000 - £55,000) Data Scientist (Average Salary: £45,000 - £70,000) Certification: Upon successful completion of the course, you will receive a CPD certificate, internationally recognised for its validation of your expertise in data analytics with Tableau. Enrol now and embark on a transformative journey to become a proficient data analyst and visualisation expert with Tableau! Course Curriculum 9 sections • 41 lectures • 06:47:00 total length •Introduction to the Course: 00:02:00 •What is Tableau? An Introduction to Tableau: 00:03:00 •How this course is Structured: 00:01:00 •Installing the Free Full Version of Tableau: 00:02:00 •Project Brief for Discount Mart: 00:03:00 •Connecting and Preparing Data for Discount Mart: 00:15:00 •Building Charts on Tableau for Discount Mart (Part 1): 00:33:00 •Building Charts on Tableau for Discount Mart (Part 2): 00:16:00 •Creating Headline Cards on Tableau for Discount Mart: 00:10:00 •Building and Publishing Dashboards on Tableau: 00:15:00 •Project Brief for Green Destinations: 00:02:00 •Connecting and Preparing Data for Green Destinations: 00:09:00 •Building Charts on Tableau (Part 1) for Green Destinations: 00:28:00 •Building Charts on Tableau (Part 2) for Green Destinations: 00:08:00 •Creating Headline Cards on Tableau: 00:15:00 •Building a Dashboard for Green Destinations: 00:12:00 •Publish your Dashboard to Tableau Public: 00:02:00 •Project Brief for Super Store: 00:02:00 •Connecting and Preparing Data for Super Store: 00:17:00 •Building Charts on Tableau (Part 1) for Super Store: 00:34:00 •Building Charts on Tableau (Part 2) for Super Store: 00:23:00 •Building a Dashboard: 00:18:00 •Publish your Dashboard to Tableau Public: 00:03:00 •Project Brief for Northwind Trade: 00:03:00 •Connecting and Preparing Data for Northwind Trade: 00:14:00 •Building Charts on Tableau for Northwind Trade: 00:37:00 •Building and Publishing Dashboards for Northwind Trade: 00:10:00 •Project Brief for Tesla: 00:02:00 •Creating a Data Source through Google Sheet Functions: 00:05:00 •Connect to the Data for Tesla: 00:04:00 •Building Charts on Tableau for Tesla: 00:22:00 •Building Headline Cards: 00:09:00 •Building a Tesla Dashboard: 00:08:00 •Publish your Dashboard to Tableau Public: 00:03:00 •Introduction to Database Concepts: 00:01:00 •Understanding Relational Databases: 00:04:00 •Relationships of Database Entities: 00:02:00 •Primary and Foreign Keys: 00:01:00 •Data types and Naming Conventions: 00:04:00 •Creating Stories on Tableau: 00:05:00 •Resources - Data Analytics with Tableau: 00:00:00
Overview Adherence to rules, regulations, and risk recognition is essential for any UK or International Company. Train to be a Compliance officer and become indispensable. This Certificate in Compliance course provides the knowledge and tools you will need to install and supervise an effective Compliance Management System. If a business does not manage risk or distribute awareness of lawful procedures, it is doomed to fail. The course's contents will teach you the duties and responsibilities of a professional Compliance Officer and the role's value to an organisation. You will also learn the primary processes of auditing and improvement, ensuring a stable environment for success. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Certificate in Compliance. It is available to all students, of all academic backgrounds. Requirements Our Certificate in Compliance is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 12 lectures • 03:00:00 total length •Module 1: Introduction to Compliance: 00:10:00 •Module 2: Compliance Management System: 00:15:00 •Module 3: Basic Elements of Effective Compliance: 00:15:00 •Module 4: Compliance Audit: 00:20:00 •Module 5: Compliance and Ethics: 00:20:00 •Module 6: Introduction to Risk and Basic Risk Types: 00:20:00 •Module 7: Further Risk Types: 00:20:00 •Module 8: Introduction to Risk Management: 00:10:00 •Module 9: Risk Management Process: 00:10:00 •Module 10: Risk Assessment and Risk Treatment: 00:20:00 •Module 11: Types of Risk Management: 00:20:00 •Assignment - Compliance Training Level 2: 00:00:00
Overview This comprehensive course on Bootstrap 5 Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Bootstrap 5 Masterclass comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Bootstrap 5 Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Bootstrap 5 Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 78 lectures • 06:05:00 total length •Introduction To This Course: 00:02:00 •Changes From Bootstrap 4 and Bootstrap 5: 00:05:00 •Bootstrap 5 Browser Compatibility: 00:02:00 •Setup Bootstrap 5: 00:08:00 •Grid System Introduction: 00:05:00 •All Grid Sizes: 00:07:00 •Single Column Width: 00:05:00 •Variable Width Content: 00:02:00 •Offsetting Columns: 00:02:00 •Reordering Columns: 00:03:00 •Column Breaks: 00:02:00 •Column Wrapping: 00:02:00 •Vertical Alignment: 00:03:00 •Horizontal Alignment: 00:02:00 •Margin Utilities: 00:02:00 •Multiple Rows: 00:03:00 •Nesting Rows and Columns: 00:03:00 •Gutters: 00:03:00 •Responsive Containers: 00:03:00 •Fluid Containers: 00:01:00 •Alerts: 00:14:00 •Badge: 00:04:00 •Breadcrumb: 00:03:00 •Buttons: 00:11:00 •Button Group: 00:06:00 •Card: 00:06:00 •Card Masonry Layout: 00:04:00 •Carousel: 00:13:00 •Close Button: 00:02:00 •Collapse: 00:05:00 •Collapse Accordion Style: 00:10:00 •Dropdowns: 00:10:00 •List Group: 00:05:00 •Modal: 00:09:00 •Navs: 00:05:00 •Navbar: 00:15:00 •Pagination: 00:05:00 •Popovers: 00:06:00 •Progress: 00:04:00 •Scrollspy: 00:14:00 •Spinners: 00:05:00 •Toasts: 00:10:00 •Tooltips: 00:04:00 •Form Control: 00:07:00 •Select: 00:03:00 •Checks: 00:08:00 •File: 00:03:00 •Range: 00:04:00 •Input Groups: 00:04:00 •Layout: 00:05:00 •Validation: 00:08:00 •Clearfix: 00:04:00 •Colored Links: 00:02:00 •Embed: 00:03:00 •Position: 00:04:00 •Screen Readers: 00:03:00 •Stretched Link: 00:02:00 •Text Truncation: 00:03:00 •Borders: 00:02:00 •Colors: 00:03:00 •Display Property: 00:04:00 •Flex: 00:03:00 •Float: 00:03:00 •Interactions: 00:04:00 •Overflow: 00:03:00 •Position: 00:05:00 •Shadows: 00:02:00 •Sizing: 00:03:00 •Spacing: 00:04:00 •Text: 00:10:00 •Vertical Align: 00:03:00 •Visibility: 00:02:00 •Typography: 00:04:00 •Tables: 00:06:00 •Images: 00:04:00 •Figures: 00:02:00 •Resource: 00:00:00 •Assignment - Bootstrap 5 Masterclass: 00:00:00
Overview This comprehensive course on Video Game Design Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Video Game Design Course comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Video Game Design Course. It is available to all students, of all academic backgrounds. Requirements Our Video Game Design Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 3 sections • 14 lectures • 02:49:00 total length •The first question to ask: 00:02:00 •My game logo design process: 00:03:00 •The importance of sketching: 00:03:00 •Simple racing game logo design: 00:12:00 •Simple horror game logo design: 00:17:00 •Simple logo for a puzzle game: 00:18:00 •Cute cartoon game logo design - Part 1: 00:13:00 •Cute cartoon game logo design - Part 2: 00:18:00 •Design a sci-fi logo using negative space - Part 1: 00:08:00 •Design a sci-fi logo using negative space - Part 2: 00:16:00 •Cartoon fantasy RPG game logo design -Part 1: 00:15:00 •Cartoon fantasy RPG game logo design -Part 2: 00:14:00 •Grunge zombie shooter game logo design - Part 1: 00:11:00 •Grunge zombie shooter game logo design - Part 2: 00:19:00
Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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- Python for Data Analysis: 00:00:00