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Video Marketing Strategy Course Overview This course on Video Marketing Strategy provides a comprehensive guide to leveraging video content to enhance marketing efforts. It covers the key principles of video marketing, including content creation, distribution channels, and performance analysis. Learners will explore how to effectively use video to engage audiences, boost brand awareness, and drive conversions. By the end of this course, learners will be equipped with the knowledge to design and implement a video marketing strategy that aligns with business goals and meets consumer expectations. Course Description In this course, learners will delve into the fundamentals of video marketing, examining key strategies for creating compelling video content and distributing it across various platforms. Topics include audience targeting, the role of storytelling, video SEO, and measuring the effectiveness of video campaigns. Throughout the course, learners will gain insight into industry best practices and emerging trends in video marketing. By the end, participants will be well-prepared to craft video marketing strategies that capture attention and generate meaningful results in today's digital landscape. Video Marketing Strategy Curriculum Module 01: Introduction to Video Marketing Module 02: Developing a Video Marketing Strategy Module 03: Content Creation for Video Marketing Module 04: Video Distribution Channels Module 05: Measuring Video Marketing Performance Module 06: Advanced Video Marketing Techniques (See full curriculum) Who is this course for? Individuals seeking to boost their marketing skills with video content. Professionals aiming to enhance their digital marketing strategies. Beginners with an interest in video content creation and marketing. Marketing and communications teams looking to expand their digital presence. Career Path Video Content Creator Digital Marketing Specialist Social Media Manager Content Marketing Strategist Brand Manager

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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): 00:17:00 •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

Overview This comprehensive course on Electrical Machines for Electrical Engineering will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Electrical Machines for Electrical Engineering 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 Electrical Machines for Electrical Engineering. It is available to all students, of all academic backgrounds. Requirements Our Electrical Machines for Electrical Engineering 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 8 sections • 108 lectures • 14:20:00 total length •Module 1- Introduction to Electric Machines: 00:03:00 •Module 2- Types of Electric Machines and Principle of Electrical Generation: 00:09:00 •Module 1- Importance and Construction of DC Machines: 00:26:00 •Module 2- Armature Winding and EMF Equation: 00:40:00 •Module 3-Solved Example 1: 00:05:00 •Module 4-Solved Example 2: 00:04:00 •Module 5-Solved Example 3: 00:07:00 •Module 6-Solved Example 4: 00:06:00 •Module 7-Separately Excited DC Machine: 00:21:00 •Module 8-Shunt and Series DC Machines: 00:25:00 •Module 9-Solved Example 1 on Separately Excited DC Machine: 00:07:00 •Module 10-Solved Example 2 on Separately Excited DC Machine: 00:07:00 •Module 11-Solved Example 3 on Shunt Generator: 00:04:00 •Module 12-Solved Example 4 on Shunt Generator: 00:07:00 •Module 13-Solved Example 5 on Series DC Generator: 00:06:00 •Module 14-Types and Applications of Compound DC Motors: 00:07:00 •Module 15- Torque-Speed Characteristics and Speed Control of Separately Excited DC Motor: 00:33:00 •Module 16- Torque-Speed Characteristics of Series DC Motor: 00:08:00 •Module 17-Solved Example 1 on Speed Control: 00:08:00 •Module 18-Solved Example 2 on Speed Control: 00:06:00 •Module 19- Starting of DC Machine: 00:14:00 •Module 20- Armature Reaction in DC Machines: 00:10:00 •Module 21-Losses in DC Machines: 00:04:00 •Module 1- What is a Transformer: 00:02:00 •Module 2- Importance of Transformer: 00:04:00 •Module 3-Iron Core of Transformer: 00:04:00 •Module 4- Magnetic Circuit Inside Transformer: 00:05:00 •Module 5- Windings of Transformer: 00:03:00 •Module 6- Why are Windings Made of Copper: 00:01:00 •Module 7- Classification of Windings: 00:05:00 •Module 8- Insulating Material and Transformer Oil: 00:02:00 •Module 9- Conservator of Transformer: 00:03:00 •Module 10- Breather of Transformer: 00:04:00 •Module 11- Bushings of Transformer: 00:04:00 •Module 12- Tap Changer of Transformer: 00:03:00 •Module 13- Cooling Tubes of Transformer: 00:01:00 •Module 14- Buchholz Relay of Transformer: 00:02:00 •Module 15- Explosion Vent: 00:02:00 •Module 16- Methods of Cooling: 00:03:00 •Module 17-Types of Transformers: 00:03:00 •Module 18- Power Transformer and Distribution Transformer: 00:05:00 •Module 19- Single Phase Core Type Transformer: 00:04:00 •Module 20-Single Phase Shell Type Transformer: 00:05:00 •Module 21- 3 Phase Core Type: 00:02:00 •Module 22- 3 Phase Shell Type: 00:01:00 •Module 23- Comparison between Shell and Core CSA: 00:01:00 •Module 24- Comparison between Shell and Core Type: 00:01:00 •Module 25- Notes: 00:03:00 •Module 26-Video Explaining The Components in 3D and Real Life: 00:05:00 •Module 1- Introduction to Magnetic Circuits: 00:02:00 •Module 2- Induced Emf and Current: 00:04:00 •Module 3- Ampere Right Hand Rule: 00:04:00 •Module 4- Magnetic Circuit and Important Definitions: 00:06:00 •Module 5- Linear and Non Linear Materials: 00:03:00 •Module 6-Flux Linkage and Reluctance: 00:04:00 •Module 7- Analogy between Electric and Magnetic Circuits: 00:06:00 •Module 8- Fringing Effect: 00:02:00 •Module 9- Example 1 Magnetic Circuits: 00:07:00 •Module 10- Example 2: 00:03:00 •Module 11- Example 3: 00:06:00 •Module 12- Application on Magnetic Circuit - Transformers: 00:04:00 •Module 1- Introduction to Transformers: 00:02:00 •Module 2- Construction of Transformer: 00:02:00 •Module 3-Theory of Operation: 00:04:00 •Module 4- Ideal Transformer: 00:05:00 •Module 5-Non Ideal Transformer: 00:02:00 •Module 6- Effect of Loading on Transformer: 00:03:00 •Module 7- Transformer Regulation: 00:03:00 •Module 8- Transformer Losses: 00:03:00 •Module 9- Transformer Efficiency: 00:05:00 •Module 10- Transformer Rating: 00:02:00 •Module 11- Question 1: 00:01:00 •Module 12- Question 2: 00:02:00 •Module 13- Question 3: 00:01:00 •Module 14- Example 1: 00:01:00 •Module 15- Voltage Relation of Transformer: 00:04:00 •Module 16- Transformer Exact Equivalent Circuit: 00:06:00 •Module 17- Concept of Refereeing: 00:04:00 •Module 18- Approximate Equivalent Circuit: 00:02:00 •Module 1- Construction and Principle of Operation of Synchronous Generator: 00:29:00 •Module 2- Principle of Operation of Synchronous Motor: 00:24:00 •Module 3- Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine: 00:29:00 •Module 4-Solved Example 1 on Non Salient Machine: 00:05:00 •Module 5-Solved Example 2 on Non Salient Machine: 00:11:00 •Module 6-Solved Example 3 on Non Salient Machine: 00:07:00 •Module 7- Solved Example 4 on Non Salient Machine: 00:04:00 •Module 8-Solved Example 5 on Non Salient Machine: 00:07:00 •Module 9-Solved Example 6 on Non Salient Machine: 00:03:00 •Module 10- Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine: 00:39:00 •Module 11-Solved Example 1 on Salient Machine: 00:09:00 •Module 12- Solved Example 2 on Salient Machine: 00:05:00 •Module 13-Solved Example 3 on Salient Machine: 00:10:00 •Module 14- Parallel Operation of Two Generators: 00:17:00 •Module 15- Synchronization of Machine with Grid: 00:10:00 •Module 1- Construction and Theory of Operation of Induction Machines: 00:27:00 •Module 2- Equivalent Circuit and Power Flow in Induction Motor: 00:23:00 •Module 3- Torque-Speed Characteristics of Induction Motor: 00:20:00 •Module 4- Solved Example 1 on Induction Motor: 00:08:00 •Module 5-Solved Example 2 on Induction Motor: 00:06:00 •Module 6-Solved Example 3 on Induction Motor: 00:06:00 •Module 7-Solved Example 4 on Induction Motor: 00:18:00 •Module 8-Solved Example 5 on Induction Motor: 00:13:00 •Module 9- Methods of Speed Control of Induction Motor: 00:27:00 •Module 10- Methods of Starting of Induction Motor: 00:21:00 •Module 11-Solved Example on Motor Starter: 00:15:00 •Module 12- Principle of Operation of Doubly Fed Induction Generator: 00:11:00 •Module 13-Self Excited Induction Generator: 00:08:00 •Assignment - Electrical Machines for Electrical Engineering: 00:00:00

Description: Journalism is the production and distribution of reports. Reports can be about events, facts, ideas, and people. Since journalism has been with us all these years, it has been considered as a form of communication and information dissemination media. If you are someone who is interested in journalism, then you have to learn the basics of journalism. In this course, you will learn about newspaper journalism and how women have contributed to the journalism industry. Who is the course for? Professionals, businessmen, and entrepreneurs who are in the journalism sector People who have an interest in writing and journalism. 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 recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Journalism Bundle Course is a useful qualification to possess, and would be beneficial for the following careers: Blogger Broadcaster Entrepreneur Freelancer Journalist News Writer Online Writer Social Content Creator. Curriculum: Journalism - New Version Module 01: Introduction and Principles of Journalism Introduction and Principles of Journalism 00:18:00 Module 02: History and Development of Journalism History and Development of Journalism 00:20:00 Module 03: Interviewing Interviewing 00:35:00 Module 04: Newspaper Journalism Newspaper Journalism 00:30:00 Module 05: News Writing, Production and Reporting News Writing, Production and Reporting 00:20:00 Module 06: Television Journalism Television Journalism 00:32:00 Module 07: Radio Journalism Radio Journalism 00:37:00 Module 08: Media Regulatory Bodies Media Regulatory Bodies 00:31:00 Module 09: Writing Skills for Journalists Writing Skills for Journalists 00:41:00 Module 10: Journalism law Journalism law 00:35:00 Module 11: Defamation Defamation 00:20:00 Module 12: Journalism Ethics Journalism Ethics 00:17:00 Module 13: Health and Safety for Journalists Health and Safety for Journalists 00:38:00 Module 14: Niche Journalism Niche Journalism 00:24:00 Module 15: Tips on Writing a Good Feature Story Tips on Writing a Good Feature Story 00:32:00 Module 16: Online and Freelance Journalism Online and Freelance Journalism 00:16:00 Module 17: Becoming a Journalist Becoming a Journalist 00:29:00 Journalism - Old Version Journalism Basics What Is A Journalist? 01:00:00 What Type Of Degree Do I Need? 00:30:00 How To Get Started Writing Before Graduation 01:00:00 The Rules Of Journalism 01:00:00 Building A Portfolio 00:30:00 What Is Style? 01:00:00 What Does A Copy Editor Do? 01:00:00 Additional Degrees To Consider 01:00:00 Online Journalism - The Way Of The Future 01:00:00 What To Expect On Your First Job 00:30:00 Newspaper Journalism What is news? 01:00:00 What is a journalist? 01:00:00 The shape of the news story 00:15:00 Writing the intro in simple steps 01:00:00 Writing the intro, the golden rules 00:30:00 Writing the news story in simple steps 01:00:00 Writing the news story - clear writing 00:30:00 Quotes 01:00:00 Attribution 00:30:00 Newspaper Reporting What Is A Newspaper Reporter? 01:00:00 What Education Do I Need? 00:30:00 How To Start Newspaper Writing 01:00:00 The Rules Of Newspaper Reporting 02:00:00 Compiling Clippings 01:00:00 Learning About Style 01:00:00 What Is A Copy Editor? 01:00:00 Additional Fields Of Study 01:00:00 Online Reporting - What You Need To Know 01:00:00 Your Path To Success As A Newspaper Reporter 01:00:00 TV Journalism News Gathering 00:30:00 Enterprising Stories 00:30:00 Watch your interviewee's body language. 00:15:00 Working with Sources 00:15:00 Covering Events 01:00:00 Computer-Assisted Reporting 00:30:00 Glossary of Broadcast News Teams 00:15:00 Law, Ethics And Responsibility 00:15:00 Operating Standards for News and Public Affairs 00:15:00 Lighting 00:15:00 Media What is the Media? 00:15:00 What Makes News? 00:30:00 Plan your Approach 01:00:00 Adhere to Deadlines 00:30:00 The Interview 00:15:00 Social Media and Journalism Definition of Social Media 00:15:00 Communication flow within journalism 00:15:00 The impact of social media on journalism 00:30:00 Women in Journalism The Secret Significance of Journalism 01:00:00 Imperfections of the Existing Woman−Journalist 01:00:00 The Roads towards Journalism 01:00:00 The Aspirant 01:00:00 Style 01:00:00 The Outside Contributor 01:00:00 The Search for Copy 01:00:00 The Art of Corresponding with an Editor 00:30:00 Notes on the Leading Types of Papers 00:30:00 Woman's Sphere in Journalism 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam- Journalism Bundle Course 00:30:00 Final Exam Final Exam- Journalism Bundle Course 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview This comprehensive course on General Inorganic Chemistry will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This General Inorganic Chemistry 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 General Inorganic Chemistry. It is available to all students, of all academic backgrounds. Requirements Our General Inorganic Chemistry 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 22 sections • 151 lectures • 14:47:00 total length •Learning objectives: 00:10:00 •Example of a solved problem: 00:06:00 •System of measurement: 00:02:00 •International system of units: 00:05:00 •Temperature units and scales: 00:04:00 •Use and misuse of units: 00:03:00 •Dimensional analysis: 00:03:00 •Quantities and units: Solved problems: 00:10:00 •Atoms: 00:02:00 •Nuclei: 00:04:00 •Periodic table: 00:08:00 •Relative atomic masses: 00:04:00 •Moles: 00:05:00 •Symbols, formulas and molar masses: 00:04:00 •Atomic, molecular and molar masses - Problems with solutions: 00:16:00 •Empirical formula from composition: 00:04:00 •Composition from formula: 00:04:00 •Nuclidic molecular masses and chemical formulas: 00:05:00 •Formulas and compositions: Solved problems: 00:24:00 •Introduction to nomenclature: 00:03:00 •Naming binary compounds of nonmetals: 00:05:00 •Naming ionic compounds: 00:01:00 •Naming monoatomic cations: 00:06:00 •Naming polyatomic cations: 00:03:00 •Naming monoatomic anions: 00:02:00 •Naming oxyanions: 00:05:00 •Naming special anions: 00:01:00 •Putting the names of the ions together: 00:02:00 •Writing formulas for ionic compounds: 00:08:00 •Naming inorganic acids: 00:06:00 •Naming acid salts: 00:04:00 •Naming hydrates: 00:01:00 •Introduction to chemical equations: 00:02:00 •Molecular relations from equations: 00:05:00 •Mass relations from equations: 00:06:00 •Limiting reactant: 00:01:00 •Calculations from chemical equations: Solved problems: 00:24:00 •Types of chemical reactions: 00:04:00 •Pressure: 00:07:00 •Gas laws: 00:02:00 •Boyle's law: Constant temperature: 00:01:00 •Charles' law: Constant pressure: 00:01:00 •Gay-Lussac's law: Constant volume: 00:01:00 •Combined gas law: 00:01:00 •Density of an ideal gas: 00:03:00 •Dalton's law for partial pressures: 00:01:00 •Collecting a gas over a liquid: 00:02:00 •Deviation from ideal beahvior: 00:01:00 •Measurement of gases: Solved problems: 00:13:00 •Avogadro's hypothesis: 00:03:00 •Molar volume: 00:01:00 •Ideal gas law: 00:05:00 •Gas volume relations from equations: 00:04:00 •Gas stoichiometry involving mass: 00:05:00 •The ideal gas law: Solved problems: 00:13:00 •Heat: 00:04:00 •Energy and enthalpy: 00:05:00 •Enthalpy changes for various processes: 00:12:00 •Rules of thermochemistry: 00:09:00 •Thermochemistry - Problems with solutions: 00:21:00 •Characters of light: 00:05:00 •Interaction of light with matter: 00:08:00 •Particles and waves: 00:03:00 •Orbitals: 00:17:00 •The Pauli exclusion principle: 00:01:00 •Aufbau principle: 00:03:00 •Electron configuration: 00:11:00 •Atomic radii: 00:04:00 •Ionization energies: 00:03:00 •Electron affinity and magnetic properties: 00:05:00 •Atomic structure - Problems with solutions: 00:16:00 •Introduction to chemical bonding: 00:02:00 •Octet rule: 00:03:00 •Ionic bonding: 00:09:00 •Electron dot notation: 00:05:00 •Covalent bonding: 00:17:00 •Distinction between ionic and covalent bonding: 00:03:00 •Predicting the nature of bonding in compounds: 00:05:00 •Formal charges: 00:08:00 •Dipole moment and electronegativity: 00:04:00 •Hybrid orbitals: 00:10:00 •Crystals: 00:08:00 •Close packing: 00:04:00 •Crystal forces: 00:06:00 •Liquid forces: 00:03:00 •Solids and liquids: Solved problems: 00:22:00 •Introduction to redox reactions: 00:04:00 •Oxidation number: 00:09:00 •Oxidizing and reducing agents: 00:05:00 •Ionic notation for equations: 00:04:00 •Balancing oxidation-reduction equations: 00:11:00 •Oxidation-reduction: Solved problems: 00:14:00 •Composition of solutions: 00:01:00 •Concentrations: 00:02:00 •Molarity: 00:02:00 •Normality: 00:05:00 •Molality: 00:01:00 •Mole fraction: 00:01:00 •Comparison and summary of the concentration units: 00:04:00 •Dilution problems: 00:01:00 •Concentration of solutions: Solved problems: 00:14:00 •Reactions involving standard solutions: 00:04:00 •Reaction involving standard solutions: Solved problems: 00:13:00 •Introduction to chemical solutions: 00:02:00 •Vapor pressure lowering: 00:04:00 •Freezing point lowering: 00:05:00 •Boiling point lowering: 00:03:00 •Osmotic pressure: 00:03:00 •Solution of gases in liquids: 00:02:00 •Law of distribution: 00:01:00 •Properties of solutions: Solved problems: 00:13:00 •The first law: 00:02:00 •The second law: 00:06:00 •Entropy: 00:04:00 •The third law: 00:01:00 •Standard states: 00:06:00 •Chemical equilibrium: 00:03:00 •The equilibrium constant: 00:10:00 •Le Chatelier's principle: 00:14:00 •Thermodynamics - Problems with solutions: 00:18:00 •Arrhenius concept: 00:03:00 •Brönsted-Lowry concept: 00:08:00 •Lewis concept: 00:02:00 •Ionization of water: 00:07:00 •Hydrolysis: 00:06:00 •Buffer solutions: 00:06:00 •Indicators: 00:03:00 •Polytropic acids: 00:05:00 •Titration: 00:08:00 •Acids and bases - Problems with solutions: 00:21:00 •Coordination complexes: 00:08:00 •Solubility product: 00:02:00 •Precipitation: 00:05:00 •Complex ions and precipitates: Solved problems: 00:06:00 •Electrical units: 00:03:00 •Faraday's laws: 00:04:00 •Voltaic cells: 00:06:00 •Standard half-cell potential: 00:07:00 •Combining couples: 00:04:00 •Free energy and Nernst equation: 00:08:00 •Electrolysis: 00:06:00 •Electrochemistry: Solved problems: 00:16:00 •Introduction to rates of reactions: 00:01:00 •Rate constants and order of reactions: 00:11:00 •First order reactions: 00:02:00 •Other rate laws: 00:01:00 •Energy of activation: 00:01:00 •Mechanism of reaction: Molecularity: 00:05:00 •Mechanism of reaction: Energetics: 00:05:00 •Rates of reactions: Solved problems: 00:13:00 •Assignment -General Inorganic Chemistry: 00:00:00

Register on the Microsoft Excel 2021 Course for Everyone - Complete Excel Course 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 Microsoft Excel 2021 Course for Everyone - Complete Excel Course 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 Microsoft Excel 2021 Course for Everyone - Complete Excel Course Receive an 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 Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. 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 Microsoft Excel 2021 Course for Everyone - Complete Excel Course, 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 Section 01: Getting Started Introduction 00:03:00 Course Curriculum 00:04:00 Getting started on Windows, macOS, Android, and IOS 00:01:00 How to ask great questions 00:02:00 FAQ's 00:01:00 Starting Excel 00:04:00 Section 02: Excel Basics Introduction 00:02:00 Worksheet basics 00:22:00 Entering values and formulas 00:12:00 Data formats 00:10:00 Data handling basics - cut copy and paste 00:07:00 Save and print in excel 00:10:00 Excel Ranges 00:05:00 Section 03: Excel essential functions Introduction 00:01:00 Basic formula operations 00:06:00 Mathematical functions level 1 00:20:00 Mathematical functions level 2 00:12:00 Text functions level 1 00:09:00 Text functions level 2 00:13:00 Logical functions 00:11:00 Date time functions 00:06:00 V Lookup formula 00:12:00 HLookup formula 00:04:00 HLookup + Match formula 00:09:00 Match + Index formula 00:05:00 Section 04: XLookup only for Excel 2021 and Office 365 Introduction 00:02:00 XLookup 00:08:00 Handling #NA and Approximates match in XLookup 00:11:00 Wildcard matching in XLookup 00:06:00 Section 05: Get Data and tools Introduction 00:02:00 Split text into columns 00:07:00 Flash Fill 00:07:00 Remove Duplicates 00:08:00 Data Validation 00:07:00 Get- import Data from Text 00:06:00 Get - import Data from CSV 00:03:00 Section 06: Formatting data and tables Introduction 00:01:00 Formatting Font 00:04:00 Formatting Alignment 00:06:00 Formatting Number 00:05:00 Formatting Date 00:03:00 Formatting tables 00:05:00 Section 07: Pivot Tables Introduction 00:01:00 Creating Pivot Table 00:07:00 Value field settings 00:04:00 Number format 00:02:00 Pivot Table Design 00:03:00 Excel Exercise 00:01:00 Solution for Excel Exercise 00:02:00 Section 08: Excel Charts Introduction 00:01:00 Excel Charts - Categories 00:03:00 Elements of a chart 00:04:00 Easy way to create charts 00:02:00 Column or Bar charts 00:04:00 Formatting charts 00:04:00 Line charts 00:02:00 Area charts 00:02:00 Pie and Doughnut charts 00:04:00 Format AreaPlot or XY chart 00:08:00 Scatter or bubble charts 00:02:00 Section 09: Advanced Excel charts Introduction 00:01:00 Frequency Distribution and Histograms 00:04:00 Waterfall charts 00:02:00 Hierarchy charts: sunburst and tree map 00:03:00 Combination charts 00:02:00 Sparklines 00:05:00 Section 10: Pivot Charts Pivot charts 00:02:00 Section 11: Maps Chart above 2019 Maps chart 00:04:00 3D Maps chart 00:03:00 Section 12: Business-Geo charts Introduction 00:01:00 Stock charts 00:02:00 Radar charts 00:02:00 Surface charts 00:02:00 Heat maps 00:04:00 Section 13: Named Ranges Indirect Name range Function 00:06:00 Named ranges 00:05:00 Section 14: Import Data into Excel Import Data from Website - Excel 2019 above 00:09:00 Import Data table from PDF file - Excel 2021 00:04:00 Section 15: Advanced Excel Product Sale Tax invoice: Tax Calculations 00:05:00 Project: Sales forecast tracker 00:07:00 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.

This course will help you to get started with Linux server administration. From covering the basic concepts needed for an entry-level Linux admin to advanced topics, such as Linux special permissions and commands, you will learn it all with the help of interesting activities.

Travel & tourism: Travel & tourism Course Online Do you want to work in one of the most fascinating and successful industries in the world? If yes, you should enrol in our Travel & tourism Course to get skills and knowledge about this sector. Airports, airlines, and international aviation are all covered in our Travel & tourism Course. The management of tour operations and the significance of efficient distribution in the travel and tourism sector are part of this Travel & tourism Course. Also, the Travel & tourism Course includes human resource management. You will learn how to manage the countryside for tourism in the Travel & tourism Course. To become an expert in the field of travel and tourism, enrol in our Travel & tourism Course curriculum. Learning Outcome of Travel & tourism: Travel & tourism Course After completing this Travel & tourism: Travel & tourism Course, learners will know about: An overview of travel & tourism. The Travel & tourism: Travel & tourism Course teaches accommodation, quality, airlines, airports and international aviation. Tour operations management, distribution and costing are the main part of this Travel & tourism: Travel & tourism Course. Travel & tourism: Travel & tourism Course describes HRM, marketing management, strategy and finance for tourism. The law and tourism are clearly elaborated in the Travel & tourism: Travel & tourism Course. This Travel & tourism: Travel & tourism Course explains how to manage urban tourism and countryside tourism. How to select sites, manage visitors, information collection and communication are broadly discussed in the Travel & tourism: Travel & tourism Course. What are technologies used in tourism and how to know about the tourism environment are explained in the Travel & tourism: Travel & tourism Course. After completing the Travel & tourism: Travel & tourism Course, you can handle crises and maintain ethics in tourism management. Main Course: Level 5 Diploma in Travel and Tourism Course Free Courses are including with this Travel & tourism: Travel & tourism Course Course 01: Travel Agent Course 02: Level 2 Certificate in Travel and Tourism Special Offers of this Travel & tourism: Travel & tourism Course This Travel & tourism Course includes a FREE PDF Certificate. Lifetime access to this Travel & tourism Course Instant access to this Travel & tourism Course Get FREE Tutor Support to this Travel & tourism Course Travel & tourism: Travel & tourism Course Online All of the pertinent subjects were covered in this travel and tourism course, including international aviation, airports, airlines, and tour operations management. You will also learn the importance of efficient distribution in the travel and tourism sector from the Travel & Tourism Course. You will learn effective communication techniques in the Travel & Tourism Course. The Travel & Tourism Course also covers human resource management in the travel industry. With our Travel & Tourism Course, you can manage information, travel destinations, tourism-related technologies, and much more. Who is this course for? Travel & tourism: Travel & tourism Course Online This Travel & tourism: Travel & tourism Course is recommended for anybody wishing to begin or advance their career in the travel and tourist industry. Requirements Travel & tourism: Travel & tourism Course Online To enrol in this Travel & tourism: Travel & tourism Course, students must fulfil the following requirements. To join in our Travel & tourism: Travel & tourism Course, you must have a strong command of the English language. To successfully complete our Travel & tourism: Travel & tourism Course, you must be vivacious and self driven. To complete our Travel & tourism: Travel & tourism Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Travel & tourism: Travel & tourism Course. Career path Travel & tourism: Travel & tourism Course Online Candidates who successfully finish our Travel & tourism: Travel & tourism Course programme can go on to work as information clerks, tour guides, travel agents, and in a variety of other related roles.

Description: Customer Service and Relation Management Diploma This Diploma in Customer Service and Relation Management aims to address the development of service industries and the need for customer-supplier relationship. This program equips one with knowledge and skills related to service marketing, customer service, customer relationship management, service design, service quality management, etc. Customer Relationship Management (CRM) is a business strategy for maximizing shareholder value through acquiring, enhancing and retaining desired customers. This course will examine the concepts, processes and technologies an organization uses to achieve superior performance through client intelligence. Aligning business activities around the client creates an opportunity to collect an extensive quantity of client-related descriptive and behavioural data, which shall be very useful. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. 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? Customer Service and Relation Management 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 or qualification required for this course, it is available for all students from any academic background. Requirements Our Customer Service and Relation Management Diploma is fully compatible with any kind of device. Whether using a Windows computer, Mac, smartphone or tablet, 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. Understanding Customer Service Understanding Customer Service FREE 00:17:00 Identifying Customer Expectations 00:06:00 Providing Excellent Customer Service 00:07:00 Focusing on the Customer 00:08:00 Customer Service and the Telephone 00:08:00 Handling Complaints 00:12:00 Enduring Stress 00:13:00 Business Communication Identifying Basic Communication Techniques FREE 00:09:00 Formal and Informal Communication 00:02:00 Describing Verbal and Non-verbal Communication 00:04:00 Understanding Body Language 00:05:00 Making Effective Presentations 00:10:00 Fundamentals of Productive Meetings 00:08:00 Written Communication 00:13:00 Electronic Communication 00:19:00 Creating Graphics for Business Communication 00:04:00 Communicating Static Information 00:03:00 Communicating Dynamic Information 00:03:00 Effectively Working for Your Boss Representing Your Boss 00:06:00 Communicating Your Boss's Decisions 00:03:00 Supporting Your Boss and Colleagues 00:04:00 Building a Partnership with Your Boss 00:13:00 Identifying Goals FREE 00:10:00 Energy Distribution 00:09:00 Time Logs 00:11:00 Personal World View 00:10:00 Strengths 00:09:00 A Building Your Toolbox 00:10:00 Establishing Your Action Plan 00:11:00 Customer Service What is Customer Service? 00:15:00 Who Are Your Customers? 00:15:00 Six Critical Elements 00:30:00 Understanding Leadership 00:30:00 Five Practices of Leadership 00:45:00 Asking the Right Questions 00:15:00 Close with Vocals 00:15:00 Closing Down the Voice 00:10:00 Cold and Warm Calls 00:15:00 Developing Your Script 00:45:00 Did You Hear Me? 00:15:00 It's More Than Just a Phase 00:15:00 Negotiation Techniques 00:15:00 News from Within 00:15:00 Perfecting the Script 00:15:00 Phone Tag and Getting the Call Back 00:15:00 Sales by Phone 00:10:00 Saying No 00:05:00 Staying Out of Voice Mail Jail 00:05:00 Stress Busting 00:05:00 Taking Messages99 00:05:00 This is My Mentor 00:05:00 To Serve and Delight 00:05:00 Who are Your Customers? 00:15:00 Building the Future 00:15:00 Checklist for Success 00:15:00 Considerations in Tool Selection 00:15:00 Customer Relationship Management 00:10:00 Evaluating and Reviewing Your Program 00:15:00 Homegrown vs. Application Service Provider 00:15:00 Requirement Driven Product Selection 00:15:00 Strategies for Customer Retention 00:15:00 The Development Team 00:15:00 What CRM Is and Who It Serves 00:15:00 Customer Relationship Management Training Customer Relationship Management 00:10:00 What CRM Is and Who It Serves 00:15:00 Checklist for Success 00:15:00 Requirement Driven Product Selection 00:15:00 Considerations in Tool Selection 00:15:00 Strategies for Customer Retention 00:15:00 Building the Future 00:15:00 Homegrown vs. Application Service Provider 00:15:00 The Development Team 00:15:00 Evaluating and Reviewing Your Program 00:15:00 Relationship with Customers Good Customer Relationship - Why is it Important? 01:00:00 Understanding Your Customers 01:00:00 How to Calculate Customer's Lifetime Value 00:30:00 How to Keep Your Customers Happy? 01:00:00 How to Get Your Customers to Say 'Wow!' 01:00:00 Proven Methods of Customer Retention 01:00:00 The Art of Customer Follow-up 01:00:00 Loyalty Marketing Program 00:30:00 Promotional Items to Enhance Customer Relations 01:00:00 Handling Customer's Complaints 01:00:00 How to Deal with Difficult Customers 00:30:00 Introducing the Seven Deadly Sins of Customer Service! 01:00:00 Customer Relationship Management (CRM) Software - The Benefits 01:00:00 Choosing a CRM Program 00:30:00 Customer Service over the Phone 01:00:00 Customer Relations and Dealing Module One - Getting Started 00:30:00 Module Two - The Right Attitude Starts with You 01:00:00 Module Three - Stress Management (Internal Stressors) 01:00:00 Module Four - Stress Management (External Stressors) 00:30:00 Module Five - Transactional Analysis 01:00:00 Module Six - Why are Some Customers Difficult 01:00:00 Module Seven - Dealing with the Customer Over the Phone 01:00:00 Module Eight - Dealing with the Customer In Person 01:00:00 Module Nine - Sensitivity in Dealing with Customers 01:00:00 Module Ten - Scenarios of Dealing with a Difficult Customer 01:00:00 Module Eleven - Following up With a Customer Once You Have Addressed Their Issue 01:00:00 Module Twelve - Wrapping Up 00:30:00 Becoming A Customer Service Professional Module One - Getting Started 00:30:00 Module Two: The Importance of Safety 00:15:00 Module Three - Establishing Your Attitude 01:00:00 Module Four - Identifying and Addressing Customer Needs 01:00:00 Module Five - Generating Return Business 01:00:00 Module Six - In-Person Customer Service 01:00:00 Module Seven - Giving Customer Service over the Phone 01:00:00 Module Eight - Providing Electronic Customer Service 01:00:00 Module Nine - Recovering Difficult Customers 01:00:00 Module Ten - Understanding When to Escalate 01:00:00 Module Eleven - Ten Things You Can Do to WOW Customers Every Time 01:00:00 Module Twelve - Wrapping Up 01:00:00 Mock Exam Mock Exam - Customer Service and Relation Management Diploma 00:20:00 Final Exam Final Exam - Customer Service and Relation Management Diploma 00:20:00 Certificate & Transcript Order Your Certificates and Transcripts 00:00:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00