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[vc_row][vc_column][vc_column_text] Description: Teaching is a hugely rewarding profession, and to become a qualified teacher, one must have excellent communication, social and time management skills, in addition to postgraduate teacher training. If you're thinking about becoming a teacher, and want to contribute to the lives of young people, then this online teaching diploma will give you the practical knowledge and training you need to accelerate your career. This Advanced Diploma in Teaching course has no entry requirements and is designed to give a broad introduction to teaching, with a focus on primary school and early years teaching. There will also be a section on SEN teaching, to help you gain an understanding of teaching children with special educational needs such as dyslexia and ADHD. You'll learn how to create lesson plans, familiarise with different teaching methodologies, learn about teachers pay and much more. This teacher training course is ideal for those who want to familiarise with the English school system and the role and responsibilities of a teacher. No teaching qualifications are needed to take this online course, which will boost your job opportunities when it comes to gaining your qualified teacher status (QTS). Who is the course for? Educators who want to improve their interactive teaching course. People who have an interest in teaching and studying. 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. 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 Advanced Diploma in Teaching is a useful qualification to possess, and would be beneficial for the following careers: Educator Guidance Counsellor Instructor Mentor School Administrator Special Education Teacher Tutor. [/vc_column_text][/vc_column][/vc_row] Module 1: Fundamentals of Teaching Understanding the Development of Children and Young Person 01:00:00 Communication and Professional Relationships with Pupils and Family 01:00:00 Safeguarding the Welfare of Children and Young Person 01:00:00 Module 2: Teaching in UK Teaching in the UK 00:30:00 Teachers' Standards in UK 00:30:00 Teachers Pay 00:30:00 The English School System 00:30:00 Evaluation of Schools and Teachers 00:30:00 School Governance 00:15:00 Inclusive Teaching 00:15:00 Module 3: Teacher Training Module One - Getting Started 02:00:00 Module Two - Understanding Training and Facilitation 02:00:00 Module Three - Gathering Materials 00:30:00 Module Four - Creating a Lesson Plan 02:00:00 Module Five - Choosing Activities 00:30:00 Module Six - Preparing for the Workshop 00:30:00 Module Seven - Getting Off on the Right Foot 00:30:00 Module Eight - Delivery Tips and Tricks 02:00:00 Module Nine - Keeping it Interactive 00:30:00 Module Ten - Dealing With Difficult Participants 00:30:00 Module Eleven - Tackling Tough Topics 01:00:00 Module Twelve - Wrapping Up 01:00:00 Activities 00:00:00 Module 4: Teaching Methodologies Chapter (i) 01:00:00 Chapter (ii) 01:00:00 Chapter (iii) 01:00:00 Chapter (iv) 01:00:00 Chapter (v) 01:00:00 Chapter (vi) 01:00:00 Chapter (vii) 00:30:00 Chapter (viii) 00:30:00 Chapter (ix) 01:00:00 Chapter (x) 00:30:00 Chapter (xi) 01:00:00 Chapter (xii) 01:00:00 Chapter (xiii) 01:00:00 Chapter (xiv) 01:00:00 Chapter (xv) 01:00:00 Module 5: Psychology of Teaching WHY YOUNG PEOPLE DO NOT LEARN TO STUDY PROPERLY? 01:00:00 THE NATURE OF STUDY, AND ITS PRINCIPAL FACTORS 02:00:00 PROVISION FOR SPECIFIC PURPOSES, AS ONE FACTOR OF STUDY 01:00:00 THE SUPPLEMENTING OF THOUGHT, AS A SECOND FACTOR OF STUDY 02:00:00 THE ORGANIZATION OF IDEAS, AS A THIRD FACTOR IN STUDY 02:00:00 JUDGING OF THE SOUNDNESS AND GENERAL WORTH OF STATEMENTS, AS A FOURTH FACTOR IN STUDY 02:00:00 MEMORIZING, AS A FIFTH FACTOR IN STUDY 02:00:00 THE USING OF IDEAS, AS A SIXTH FACTOR IN STUDY 02:00:00 PROVISION FOR A TENTATIVE RATHER THAN A FIXED ATTITUDE TOWARD KNOWLEDGE, AS A SEVENTH FACTOR IN STUDY 01:00:00 PROVISION FOR INDIVIDUALITY, AS AN EIGHTH FACTOR IN STUDY 02:00:00 FULL MEANING OF STUDY: RELATION OF STUDY TO CHILDREN AND TO THE SCHOOL 02:00:00 Module 6: SEN Teaching Introduction to Special Educational Needs (SEN) 00:30:00 Understand Constructivism in the Classroom and Know Your Role as a Teacher 01:00:00 SEN Code of Practice 01:00:00 Get an Understanding on SENCO 01:00:00 Classroom Management Strategies for Children with Special Needs 00:30:00 Physical Difficulties, Sensory Difficulties, Cognitive Impairments of Pupils 01:00:00 How to Deal with Pupils with Autism 00:30:00 Understanding Learning Difficulties 01:00:00 Anger Management Methods for Pupils With Special Needs 00:30:00 Teaching Children with Down Syndrome 00:30:00 Conclusion SEN 00:30:00 Module 7: SEN in USA INTRODUCTION to SEN USA 02:00:00 PRINCIPLES OF SPECIAL EDUCATION 01:00:00 SEN CURRICULUM 01:00:00 SEN TEACHING 01:00:00 CONCLUSION to SEN USA 00:15:00 Module 8: ADHD What is ADHD? 00:30:00 Causes of ADHD 00:30:00 Diagnosing ADHD 00:30:00 Treating ADHD 00:30:00 ADHD and Education 00:30:00 Reasonable Adjustments: ADHD 01:00:00 Adults with ADHD 00:30:00 Module 9: Dyslexia What is Dyslexia? 01:00:00 Identifying Dyslexia 00:30:00 Co-occurring Conditions 00:30:00 Diagnosing Dyslexia 00:30:00 Creating Dyslexia Friendly Environment 00:30:00 Solutions for Dyslexia 00:30:00 Module 10: Dealing with Troubled Children YOU AND YOUR CHILD STUDY 01:30:00 THE PROBLEM OF PUNISHMENT 00:30:00 WHEN YOUR CHILD IMAGINES THINGS 00:30:00 WHY KIDS LIE AND WHAT TO DO ABOUT IT 01:00:00 BEING AFRAID 00:30:00 THE FIRST GREAT LAW 00:30:00 THE TRAINING OF THE WILL 01:00:00 HOW CHILDREN REASON ABOUT FUTURE 00:30:00 WORK AND PLAY 01:00:00 CHILDREN'S GANGS, CLUBS, AND FRIENDSHIPS 00:15:00 CHILDREN'S IDEALS AND AMBITIONS 01:00:00 THE STORK OR THE TRUTH 00:30:00 THE GOLDEN AGE OF TRANSITION 00:15:00 HEREDITY AND ENVIRONMENT 01:00:00 FREEDOM AND DISCIPLINE 00:15:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam - Advanced Diploma in Teaching 00:20:00 Final Exam Final Exam - Advanced Diploma in Teaching 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00
48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Discover the truth behind popular crime dramas and the real-world skills that are needed to stop law-breakers in their tracks when you take our popular Criminal Investigator course. Media entertainment often glamorises the work of police officers and detectives, but the fact remains that thousands of hard-working and talented people devote their careers to solving crime and catching perpetrators. This Advanced Diploma in Criminal Investigator at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 180 CPD points) to make your skill development and career progression related to Criminal Investigation substantial and easier than ever! You can find out exactly how professionals perform this role by studying the contents of this tutorial. Written with the aid of industry experts, each module explains the methods and principles of investigating a crime scene and acting on criminal intelligence. You will be shown the total learning curve for expert investigation work, from collecting physical evidence to DNA analysis and understanding criminal psychology. The contents even cover the requirements for operating as a private detective and how to ensure that you adhere to the UK criminal justice system during the proceedings. Upon successful completion of the Criminal Investigation course, you will receive an instant e-certificate as proof of the comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enrolling on this Criminal Investigation course. With this comprehensive Criminal Investigation course, you can achieve your dreams and train for your ideal career. The Criminal Investigation course provides students with an in-depth learning experience that they can work through at their own pace to enhance their professional development. You'll get a Free Student ID card by enrolling in this Criminal Investigation course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. Enrolling on the Criminal Investigation course will ensure that you land your dream career faster than you thought possible. Stand out from the crowd and train for the job you want with the Criminal Investigation program. Key Topics to Be Covered by Criminal Investigation Fundamental requirements for crime investigation and detection Collecting the evidence and analysing the crime scene Understanding the use of psychology and intelligence gathering Working with the victim and learning about criminal motives Advance forensics and the UK criminal justice system Why Prefer this Criminal Investigation Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPDQS after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** Here is the curriculum breakdown of this course: Module 01: Required Skills to Become a Criminal Investigation Definition of a Crime Investigator Roles and Responsibilities of a Criminal Investigation Necessary Skills of a Criminal Investigation Thinking ProcessDecision MakingThe Investigative MindsetThe Code of Ethics The Pathway to Becoming a Criminal Investigation Career as a Criminal Investigation Module 02: An Introduction to a Private Detective What is a Private Detective? Roles and Responsibilities of a Private Detective Duties of a Private Investigator Skills and Characteristics Required to be a Good Private Detective Need and Scope of Private Detective Dangers faced by Private Detective Career as a Private Detective Module 03: Criminal Intelligence An Introduction to Intelligence The intelligence process National Intelligence Model: the United Kingdom Analysis and analytical Process Module 04: Crime Scene Investigation Introduction Policy Goals and Objectives Evidence Collection Actions of the Initial Responding Officer Processing Methodology Narrative Descriptions Crime Scene Photography Module 05: Collecting and Packaging Physical Evidence Locating Physical Evidence Collecting and Packaging Physical Evidence Handling Evidence Packaging Evidence Biological Materials DNA Evidence Maintaining The Chain of Custody Obtaining Standard/Reference Samples Submitting Evidence To The Laboratory Ensuring Crime Scene Safety Module 06: Fingerprints: Your Signature Getting a Grip on Fingerprints Developing The Science: A Trip Through Fingerprint History Measuring bodies: A precursor to fingerprinting Using Ridge Patterns Grouping by arches, loops, and whorls Developing the Henry System Using Chemistry to Expose Prints Cleaning up the Print: Digital Techniques Module 07: DNA Analysis Overview The Function and Structure Of DNA DNA Identification Collection And Preservation of DNA Evidence Preparing DNA Samples For Fingerprinting Summary Module 08: Criminology and Criminal Psychology Criminology Definition of Crime Types of Crime Classification of Crime Psychology and Criminal Psychology Open Source of Information Module 09: Violent Crimes and Cyber Criminology Violence and Conflicts Crime and Social Media Why Cybercrime Occurs The Dark Web Detecting cyber attackers Threat Analysis and Prediction Module 10: Business Theft and fraud Major Types of Fraud and Corruption Identify Theft Crime in the Corporate Sector Corruption and Fraud in Policing Fraud and Corruption in Times of Disaster Module 11: Domestic Investigation and Types Defining Domestic Abuse Role of Investigators in Domestic Abuses Marital cases Divorce cases Child Abuse Elder Abuse Asset investigation Module 12: Victimology Introduction to Victimology A Constructive View Expectations of the Victim Communication of Victimisation Module 13: Dealing with Crime Overview The Investigative Function Supporting Activities Conducting Investigations Organization and Management Module 14: Tracing and Surveillance Techniques Overview Smart Visual Surveillance Gait Recognition Attribute Analysis Surveillance for Security and Defense Module 15: Effective Interrogation Techniques The Search for Truth Psychophysiological Basis of Forensic Assessment Interview vs Interrogation Question Formulation Nonverbal Behavioral Assessment Module 16: Basic Operations of Firearms Introduction Types of Firearms Ammunition Laser Sights Quality Practice Dry Practice GPS of Personal Defense Module 17: Firearms Examination Characteristics of Firearms Ammunition Firearms Evidence Gunshot Residue (GSR) Analysis Collecting Firearms Evidence Handling of Firearms Cartridge Cases Bullets Test Firing Powder Pattern Examination Module 18: Forensic Psychology Introduction Ethical Principles Forensic Science Module 19: The Criminal Justice System in England and Wales Overview What is Criminal Justice Criminal Justice: Functions and Form Criminal Justice In England and Wales Serious and Organized Crime Agency (SOCA) Aims of the Criminal Justice System Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course does not require you to have any prior qualifications or experience. So you can enrol and start learning at your convenience. However, this could be a perfect match for, Anyone interested in this area People interested in Criminology and Criminal Science Students who have recently graduated and are looking for work Intern Lawyer planning to start practice in the criminal law court Those who want to get professional expertise in this field Existing professionals looking for a certificate Requirements This course does not require any prior knowledge; everyone may participate! This course is open to anyone interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This Criminal Investigation course allows you to study at your own speed and grow a quality skillset. Career path The Criminal Investigation course aims to help you get the job-required know-how or even the long-awaited promotion of your dreams. With the support and proper guidance, you will learn the skills and knowledge that will help you secure a job as: Private Investigator Criminology External Fraud Analyst Internal Fraud Analyst Criminal Psychologist Certificates CPD Accredited Certificate Digital certificate - £10 Advanced Diploma in Criminal Investigator at QLS Level 7 Hard copy certificate - £139 After successfully completing the Advanced Diploma in Criminal Investigator at QLS Level 7 course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 139 GBP inside the UK 149 GBP (including postal fees) for international delivery CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)
Welcome to 'Python Programming for Non Programmers Level 5,' a course specially designed for those new to the world of coding. This program starts with a comprehensive introduction to Python, a versatile programming language favored in numerous fields. Progressing to the second unit, participants will familiarize themselves with the initial steps of Python programming, setting a strong foundation for future learning. The course then advances to conditional branching in Python, an essential skill for logical problem-solving in coding. A highlight of this course is the practical project: building the game 'Rock Paper Scissors'. This engaging task not only consolidates learning but also adds a fun element to the process. The curriculum further includes critical topics like string operations, date and time functionalities, and the nuances of file handling in Python. Learners will navigate through the complexities of Python data structures-tuples, lists, and dictionaries-and learn to craft user functions, enhancing their coding capabilities. The course also covers email automation, ingenious import tactics, interfacing with operating systems, and handling exceptions with finesse. Furthermore, learners will get hands-on experience with package installation, scheduling tasks in Python, and managing databases using SQLite. The course wraps up with insights on running Python programs via command prompt and Jupyter Notebook, ensuring learners are well-equipped for real-world applications. Learning Outcomes Acquire foundational knowledge and setup skills in Python programming. Master conditional branching for effective problem-solving in code. Complete a practical coding project to solidify Python skills. Learn essential Python operations, including string handling and file management. Explore and apply advanced Python concepts for real-world applications. Why choose this Python Programming for Non Programmers Level 5 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Python Programming for Non Programmers Level 5 course for? Beginners eager to learn Python from scratch. Non-technical professionals desiring to add coding skills to their portfolio. Educators keen to integrate Python into their teaching methodologies. Businesspersons interested in understanding coding fundamentals for tech-based solutions. Enthusiasts exploring programming as a new hobby or career path. Career path Entry-Level Python Programmer: £25,000 - £40,000 Python-Enabled Data Analyst: £28,000 - £45,000 Python Automation Engineer: £30,000 - £50,000 Technical Support Analyst with Python Skills: £22,000 - £35,000 Python Web Developer: £26,000 - £42,000 Quality Assurance Analyst with Python Expertise: £24,000 - £38,000 Prerequisites This Python Programming for Non Programmers Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming for Non Programmers Level 5 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Introduction to Python Programming Section 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Section 01: Software Installation 00:02:00 Section 02: Hello World Program 00:06:00 Section 03: Input and Output 00:07:00 Section 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Section 01: If Loop In Python 00:06:00 Section 02: Program Using If Else part 1 00:03:00 Section 03: Program Using If Else part 2 00:08:00 Section 04: Program for Calculator 00:02:00 Section 05: Program Using For Loop 00:08:00 Section 06: For Table 00:05:00 Section 07: For loop and Mathematical Operator in Python 00:04:00 Section 08: Factorial of Number Using Python 00:06:00 Section 09: Program Using While 00:05:00 Section 10: While Loop Example 00:07:00 Section 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Section 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Section 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Section 01: Program Using String part 1 00:05:00 Section 02: Program using String 2 00:06:00 Section 03: Program Using String 3 00:06:00 Section 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Section 01: Use of Date and Time part 1 00:05:00 Section 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Section 01: File Handling Part 1 00:08:00 Section 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Section 01: Tuple in Python Part 1 00:10:00 Section 02: Tuple in Python Part 2 00:07:00 Section 03: Using Lists part 1 00:07:00 Section 04: Using List part 2 00:12:00 Section 05: Using Lists part 3 00:06:00 Section 06: Using Lists part 4 00:08:00 Section 07: Using Lists part 5 00:02:00 Section 08: Use of Dictionary Part 1 00:04:00 Section 09: Use of Dictionary Part 2 00:05:00 Section 10: Use of Dictionary Part 3 00:08:00 Section 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Section 01: Function in Python Part 1 00:06:00 Section 02: Function in Python Part 2 00:05:00 Section 03: Function in Python Part 3 00:04:00 Section 04: Function in Python Part 4 00:07:00 Section 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Section 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Section 01: Import Study part 1 00:07:00 Section 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Section 01: Importing OS 00:06:00 Section 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Section 01: Exception in Python part 1 00:11:00 Section 02: Exception in Python part 2 00:07:00 Section 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Section 01: Installing Packages using built in package manager 00:08:00 Section 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Section 01: Data Base 1 00:08:00 Section 02: Data Base 2 00:09:00 Section 03: Data Base 3 00:08:00 Section 04: Data base 4 00:07:00 Section 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Section 01: IDE_1 00:05:00 Section 02: IDE_2 00:07:00 Unit 18: Conclusion Section 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Assignment Assignment - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 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 Internet of Things (IoT) 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 professional training that employers are looking for in today's workplaces. The Internet of Things (IoT) Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Internet of Things (IoT) 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 Internet of Things (IoT) Course, like every one of Study Hub'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 StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Internet of Things (IoT)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on 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 Internet of Things (IoT) 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 £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Internet of Things (IoT) 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 skill. Prerequisites This Internet of Things (IoT) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Internet of Things (IoT) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Internet of Things (IoT) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Agenda Module 01: Introduction 00:02:00 Module 02: Course Agenda 00:03:00 Unit 01: Introduction Module 01: Introduction to Internet of Things 00:13:00 Module 02: Choosing Cloud Services for IoT 00:05:00 Module 03: What is Raspberry Pi Part 1? 00:09:00 Module 04: What is Raspberry Pi Part 2? 00:06:00 Unit 02: Raspberry Pi Installation Module 01: Downloading OS for Raspberry Pi Noobs-Raspbian 00:07:00 Module 02: Install OS using NOOBS 00:11:00 Module 03: Remote Control of Raspberry Pi Using VNC Viewer 00:10:00 Module 04: Install OS using Raspbian Image part 1 00:06:00 Module 05: Install OS using Raspbian Image part 2 00:02:00 Unit 03: Getting Around Raspberry Pi Module 01: Getting Around Raspbian Operating System part 1 00:10:00 Module 02: Getting around Raspbian Operating System part 2 00:08:00 Module 03: Getting around Raspbian Operating System part 3 00:06:00 Module 04: How To Run Python program On Raspberry Pi 00:09:00 Unit 04: Raspberry Pi GPIO Output Module 01: Raspberry PI GPIO Concepts 00:07:00 Module 02: Raspberry Pi GPIO Interfacing Single LED 00:17:00 Module 03: Raspberry Pi GPIO Interfacing Multiple LED's 00:09:00 Module 04: Rapberry Pi GPIO Interfacing Buzzer 00:03:00 Unit 05: Output from Raspberry Pi Module 01: Raspberry Pi and Transistorized Switching 00:09:00 Module 02: Raspberry Pi and Relay part 1 00:13:00 Module 03: Raspberry Pi and Relay part 2 00:08:00 Unit 06: Inputs to Raspberry Pi Module 01: Accepting Digital Input on Raspberry Pi Part 1 00:13:00 Module 02: Accepting Digital Inputs on Raspberry Pi Part 2 00:07:00 Unit 07: Sensor Interfacing Module 01: Sensor Interfacing With Raspberry Pi LDR1 00:05:00 Module 02: Sensor Interfacing With Raspberry Pi LDR 2 00:10:00 Module 03: Sensor Interfacing With Raspberry Pi LDR 3 00:07:00 Module 04: Sensor Interfacing with Rapberry Pi DHTT11 part 1 00:10:00 Module 05: Sensor Interfacing with Rapberry Pi DHTT11 part 2 00:10:00 Module 06: Sensor Interfacing with Raspberry pi Using SenseHAT 00:11:00 Module 07: Ultrasonic Sensor Interfacing with Raspberry Pi 00:14:00 Unit 08: Interfacing of I2C Based BMP180 Sensor with Raspberry Pi Module 01: BMP180 with Raspberry Pi 00:07:00 Module 02: Enabling I2C on Raspberry Pi 00:05:00 Module 03: BMP180 Python Code 00:06:00 Unit 09: Internet of Things with Microsoft Azure Module 01: Getting Started With IoT 00:11:00 Module 02: Getting Started with Microsoft Azure IoT Hub Part 1 00:04:00 Module 03: Getting Started with Microsoft Azure IoT Hub Part 2 00:05:00 Module 04: Getting Started with Microsoft Azure IoT Hub Part 3 00:09:00 Module 05: Create Device inside Azure IoT Hub 00:06:00 Module 06: Enable Azure Cloud Shell and enable IoT Extension 00:08:00 Module 07: Send Data to Azure IoT Hub Using Python Program 00:09:00 Module 08: Send Actual Temperature and Humidity Values to Azure IoT hub 00:03:00 Module 09: Storing the Data on Microsoft Azure Using Custom Gateway 00:13:00 Module 10: Save data to blob storage using Stream Analytics Job 00:12:00 Module 11: Data Visualization with Power BI Part 1 00:07:00 Module 12: Data Visualization with Power BI Part 2 00:12:00 Module 13: Creating Custom web app with azure for data visualization Part 1 00:10:00 Module 14: Creating Custom web app with azure for data visualization Part 2 00:14:00 Module 15: Creating Custom web app with azure for data visualization Part 3 00:12:00 Module 16: Dealing with password error while pushing your webapp to azure 00:01:00 Module 17: Cleaning up Azure Resources 00:02:00 Module 18: Remote Monitoring using Azure Logic App Part 1 00:12:00 Module 19: Remote Monitoring using Azure Logic App Part 2 00:10:00 Unit 10: IoT with Thingspeak Module 01: Introduction to Thingspeak 00:06:00 Module 02: Create an account and send data to Thingspeak 00:08:00 Unit 11: Learn a new platform, Adafruit IO Module 01: Getting started with SaaS IoT Platform io.adafruit.com 00:08:00 Module 02: What is MQTT? 00:10:00 Module 03: Sending Data to Adafruit Io Using MQTT Part 1 00:17:00 Module 04: Sending Data to Adafruit io Using MQTT part 2 00:14:00 Module 05: Home automation project with adafruit IO Part 1 00:15:00 Module 06: Home Automation Project with Adafruit IO Part 2 00:02:00 Unit 12: IOT Security Module 01: IoT Security 00:14:00 Module 02: Conclusion 00:01:00 Assignment Assignment - Internet of Things (IoT) 00:00:00
Register on the Typography for Designers 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 Typography for Designers 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 Typography for Designers course 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 Typography for Designers 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 Introduction to Typography 1.2.Intro to typography course 00:05:00 1.3. how typography cousre is laid out 00:02:00 1.4.What are Font Families 00:05:00 1.5.typography-antomy-terms 00:07:00 1.6.Humanist Old and Transitional 00:07:00 1.7.Sans-Serif Script Other Sans 00:06:00 1.8. Line-length in Typography 00:03:00 1.9.Alignments of your text 00:05:00 1.10.Line-height matters 00:07:00 1.11.Letter Spacing kerning 00:05:00 1.12.exercise to apply all we learned 00:11:00 More about Typography 2.1.Different Types of Hyphens & Dashes 00:02:00 2.2. About Quotation Marks 00:03:00 Typography Scales and Grids 3.1.1Expanding Scales-NEW 00:07:00 3.1.Roles Of Typefaces-1 00:05:00 3.2.Typography Scale-1 00:03:00 3.3Type Hierarchy Online Tools 00:05:00 3.4.How Many Levels Of Hierarchy-update 00:03:00 3.5.Vertical Rhythm-updated 00:05:00 3.6.Vertical Rhythm In Photoshop 00:07:00 3.7.exercise Vertical Rhythm-1 00:12:00 3.8.modular Grid 00:11:00 EXERCISES: Modular + Baseline Grid Design Ultimate Exericse 4.1.prepare Modular Grid For Design Exericse 00:11:00 4.2.Modular Design part 1 00:16:00 4.3.Modular design 2nd 00:10:00 4.4.Modular Design Refining the design 00:03:00 4.5.Modulr Design 3rd Layout 00:10:00 How to Select Fonts? 5.1.how Many Fonts 00:05:00 5.2.Moods Voices Of Typefaces- 00:13:00 5.3.colors Efffect On Typo 00:04:00 How to Pair Fonts? 6.1.Font Pairing Intro-Updated 00:04:00 6.2.X-height Matching 00:05:00 6.3.Contrast Matching 00:10:00 6.4.Look For Similar Features 00:10:00 6.5.Avoid Too Similarity 00:04:00 6.6.Pairing Fonts Same Family Designer 00:05:00 6.7.Online Tools Font Pairing 00:06:00 How to get Variation in text for Great Designs 7.1.variation with bold italic 00:04:00 7.2.variation with colors 00:03:00 7.3.Variation with Reverse-colors updated- 00:03:00 7.4.variation with lineheight 00:04:00 EXERCISES: Dribbble LEVEL Designs 8.1. Dribbble Hero Design preperation 00:05:00 8.2.dribbble Hero Design V1 Part 1 00:16:00 8.3.dribbble Hero Design V1 Part 2 00:16:00 8.4. Dribbble Hero Variation Intro 00:04:00 8.5. Dribbble Hero Variation 2 Part 1 00:08:00 8.6. Dribbble Hero Variation 2 Part2 00:06:00 Exercise: Social Media Ad Design with 3 different fonts 9.1.summer Discount Ad DesignPreperations 00:04:00 9.2 Preparing base of design 00:07:00 9.3. Adding Text and styles 00:14:00 9.4.final Adjustments 00:03:00 Nature Health Themed Typography Exercises 10.1.juicy Design Exercise Preperations-1 00:03:00 10.2.making Of Juicy Design-2 00:16:00 10.3.juicy Designs Final-3 00:12:00 Typography for Iphone and Android App Designs (Mobile App Typography) 11.1 Intro IOS point sizing 00:05:00 11.2.IOS Font Specs 00:03:00 11.3.Designing multiple IOS Screens 00:14:00 11.4. Student Question About Resoltutions 00:14:00 11.5.connect Your Iphone With Photoshop 00:05:00 11.6. Android Typography 00:04:00 11.7.android Design Exercise For All Sizes 00:09:00 Typography for Web Developers 12.1.Using Google Fonts 00:04:00 12.2.using Premium Fonts 00:06:00 12.3.Intro to css font sizigin 00:03:00 12.4.what Is Em Font Size 00:08:00 12.5.What is rem font size 00:05:00 12.6.How percentage font size works 00:04:00 12.7.How vw font unit works 00:04:00 Responsive Typography for Developers 13.1.how Vertical Rhythm Works In CSS 00:08:00 13.2.Gridlover Exercise 00:08:00 13.3.custom Typographic Scale Boostrap-3 00:13:00 13.4.dont Use Code From Typescale 00:02:00 New and Latest in Typography 14.1.responsive Typography Intro 00:07:00 14.2.different Ratios And Scales In Responsive Typography 00:10:00 14.3.percentage Value Technique For Responsive Type 00:12:00 15.1 Color Fonts 00:05:00 15.2 variable-fonts101 00:08:00 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.
Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm
Create your custom magazine or blog with Wix by taking this Online Magazine or Blog Website Wix Course. Get to know about the exciting Wix blogging features and create mesmerising online magazines or blogs. If you wish to create stunning online blogs but don't have any web skills, this Online Magazine or Blog Website Wix course is the only thing you need. The course will teach you how to create, edit and publish your blog on Wix. From the valuable lessons, you'll learn how to set up your site and choose your fonts and colours and add the Wix blog to your site. Then, the training will take you through customising website elements and creating a pop-up menu using Lightboxes. Finally, you'll know how to connect your articles to your elements to make them appear on every page. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Online Magazine or Blog Website Wix course is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Online Magazine or Blog Website Wix course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path The Online Magazine or Blog Website Wix will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Introduction Introduction 00:01:00 Getting started Set up your site, formatting fonts and selecting a colour palette 00:07:00 Add the Wix Blog to Your Site 00:02:00 Start designing Adding a custom header strip with parallax 00:10:00 Creating the 1st custom blog element 00:07:00 Creating the 2nd custom element 00:06:00 Adding a Wix blog element 00:06:00 Pop-Up Menu Creation Pop-Up Menu creation using Wix Lightboxes 00:06:00 Connecting your articles to your elements to make them visible. Creating Category Pages 00:03:00 Connect the blog to custom elements 00:05:00 Final Connections 00:09:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on 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 Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00