43990 PE courses

Overview The demand for skilled cybersecurity professionals is soaring in today's digital landscape. The CompTIA CySA+ Cybersecurity Analyst (CS0-002) course is your gateway to a lucrative and rewarding career in this high-demand industry. This course delves deep into various aspects of cybersecurity, from threat analysis and vulnerability identification to incident response and digital forensics. It's designed to ensure you're ready to excel in the field. This course covers various topics, including threat intelligence, vulnerability identification, incident response, and forensics analysis.  With 60+ hours of engaging content, our expert instructors will equip you with the knowledge and skills required to excel in the CompTIA CySA+ certification exam and kickstart your career in cybersecurity. Enrol in the CompTIA CySA+ Cybersecurity Analyst (CS0-002) course today and secure your future in this high-demand industry! 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 CompTIA CySA+ Cybersecurity Analyst (CS0-002). It is available to all students, of all academic backgrounds. Requirements Our CompTIA CySA+ Cybersecurity Analyst (CS0-002) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 22 sections • 96 lectures • 11:35:00 total length •Introduction: 00:02:00 •All about the Exam: 00:08:00 •What's New on the CompTIA CySA+ Exam?: 00:05:00 •Meet the Instructors: 00:02:00 •Thinking like the Enemy: 00:09:00 •Tools of the Trade: 00:08:00 •Intelligence Sources and Confidence Levels: 00:08:00 •Threat Indicators and Actors: 00:08:00 •Threat Trends: 00:07:00 •Intelligence Cycle and ISACs: 00:06:00 •Attack Frameworks: 00:06:00 •Threat Research: 00:11:00 •Threat Modeling and Intelligence Sharing: 00:06:00 •Vulnerability Identification: 00:07:00 •Scanning Parameters and Criteria: 00:09:00 •Scanning Special Considerations: 00:06:00 •Validation: 00:03:00 •Remediation and Mitigation: 00:08:00 •Inhibitors to Remediation: 00:07:00 •Web Applications Scanners, Part 1: 00:10:00 •Web Applications Scanners, Part 2: 00:05:00 •Scanning: 00:06:00 •Configuring and Executing Scans: 00:08:00 •Vulnerability Scanning: 00:10:00 •Reverse Engineering: 00:08:00 •Enumeration: 00:06:00 •Wireless Assessment Tools: 00:08:00 •Cloud Assessment Tools: 00:04:00 •Mobile and IoT: 00:10:00 •Embedded and Firmware Systems (RTOS, SoC, and FPGA): 00:09:00 •Access and Vehicles Risk: 00:08:00 •Automation and Control Risk: 00:10:00 •Cloud Models: 00:07:00 •Remote Service Invocation (FaaS, IaC, API): 00:10:00 •Cloud Vulnerabilities: 00:06:00 •Injection and Overflow Attacks: 00:09:00 •Injection and Overflow Attacks: 00:09:00 •Exploits: 00:08:00 •Application Vulnerabilities, Part 1: 00:08:00 •Application Vulnerabilities, Part 2: 00:07:00 •Network Architecture and Asset Management: 00:09:00 •Protecting Your Territory: 00:05:00 •Identity and Access Management: 00:11:00 •Encryption and Active Defense: 00:08:00 •Platforms: 00:07:00 •SOA and DevSecOps: 00:09:00 •Secure Software Development: 00:08:00 •Best Coding Practices: 00:04:00 •Trusted Hardware: 00:10:00 •Hardware Encryption: 00:04:00 •Hardware Security: 00:08:00 •Data Analytics: 00:10:00 •Endpoint Security: 00:08:00 •Recon Results, Part 1: 00:13:00 •Recon Results, Part 2: 00:05:00 •Impact Analysis: 00:05:00 •Collective Tools: 00:09:00 •Query Writing: 00:07:00 •E-mail Analysis, Part 1: 00:10:00 •E-mail Analysis, Part 2: 00:08:00 •Permissions: 00:09:00 •Firewalls: 00:08:00 •Intrusion Prevention Rules: 00:05:00 •DLP and Endpoint Detection: 00:05:00 •Threat Hunting and the Hypothesis: 00:06:00 •Threat Hunting Process: 00:07:00 •Results and Benefits: 00:05:00 •Workflow and Scripting: 00:07:00 •API and Malware Signature Creation: 00:08:00 •Threat Feeds and Machine Learning: 00:06:00 •Protocols, Standards, and Software Engineering: 00:05:00 •IR Roles and Responsibilities: 00:08:00 •IR Active Preparation: 00:10:00 •Incident Response Process: 00:07:00 •Network Symptoms: 00:04:00 •Host Symptoms: 00:08:00 •Application Symptoms: 00:04:00 •Digital Forensics: 00:10:00 •Seizure and Acquisitions: 00:05:00 •Forensics Acquisition Tools: 00:09:00 •Mobile, Virtualization, and Cloud: 00:06:00 •Forensics Analysis, Part 1: 00:04:00 •Forensics Analysis, Part 2: 00:08:00 •Packet Capture: 00:12:00 •Data Privacy and Security: 00:06:00 •Nontechnical Controls: 00:09:00 •Technical Controls: 00:08:00 •Business Impact Analysis: 00:05:00 •Risk Identification: 00:05:00 •Risk Calculation and Communication: 00:06:00 •Training: 00:04:00 •Supply Chain Assessment: 00:04:00 •Frameworks: 00:13:00 •Policies and Procedures: 00:05:00 •Controls and Procedures: 00:08:00 •Verification: 00:06:00

Course Overview: Dive into the transformative world of Artificial Intelligence (AI) with "ChatGPT for Marketing and Productivity with AI Tools. This course is tailored to unlock the secrets of AI-powered tools in marketing and productivity. According to the McKinsey Global Institute, Artificial Intelligence is an area of study predicted to have an economic impact between $1.49 trillion to $2.95 trillion a year by 2025. It's time to leverage this transformative technology with OpenAI's ChatGPT. In this course, we'll start from the basics, introducing you to OpenAI's ChatGPT, its features, limitations, and how to create an account. You will learn how ChatGPT can generate ideas, qualify and verify information, and produce content in different contexts. In addition, you'll explore a myriad of autonomous AI agents and learn to develop robust methodologies with expert advice. The last part of the course delves into tools and applications like Bing Search, Google Bard, and Speechify that you can use in tandem with ChatGPT. By the end of this course, you'll be well-versed in harnessing the power of AI to enhance marketing strategies and improve productivity. Enrol now and stay ahead of the competition! Key Features of the Course: CPD-certified course. 24/7 learning assistance. Engaging learning materials to enhance your knowledge. Updated and trending content. Who is This Course For? This ChatGPT for Marketing and Productivity with AI Tools course is ideal for marketing professionals, content creators, product managers, or anyone interested in leveraging AI to improve productivity and marketing strategies. What You Will Learn: Our comprehensive ChatGPT for Marketing and Productivity with AI Tools course will help you to: Understanding and setting up an account with ChatGPT. Exploring the limitations and potentials of ChatGPT. The use of ChatGPT in idea generation, content creation, and problem-solving. Interfacing with autonomous AI agents. Use of AI tools for research, summarisation, and voice cloning. Manipulating Microsoft Bing Search, Google Bard, and other applications with ChatGPT. Insight into the future of Generative AI. How to use ChatGPT to conduct research. Why Enrol in This Course: This top-reviewed and recently updated course allows learners to stay at the forefront of the AI revolution. You will gain a competitive edge by developing skills in AI applications for marketing and productivity. Requirements: Participants are expected to have a basic understanding of marketing and productivity processes. Prior experience with AI is not necessary. Career Path: AI Product Manager - £75,000. Content Strategist - £42,000. Marketing Technology Consultant - £60,000. Digital Marketer - £32,000. SEO Specialist - £35,000. Social Media Manager - £45,000. Data Analyst - £40,000. Certification: Upon completing the ChatGPT for Marketing and Productivity with AI Tools course, you will receive a CPD certificate, validating your newly acquired skills and knowledge. Enrol in this course today and enhance your Marketing and Productivity with AI Tools! Course Curriculum 3 sections • 60 lectures • 01:24:00 total length •Unit 01: Start an Account with ChatGPT: 00:02:00 •Unit 02: What the Company OpenAI Say About Itself: 00:02:00 •Unit 03: What OpenAI Say About The Limitations of the Chatbot: 00:02:00 •Unit 04: Chatbot Prompt Examples Given By Open AI: 00:02:00 •Unit 05: Will Chat GPT Be a Paid Application: 00:01:00 •Unit 06: Chat GPT Idea Generation: 00:02:00 •Unit 07: Chat GPT - Idea Qualification and Accuracy: 00:03:00 •Unit 08: ChatGPT - Accuracy and Citations: 00:02:00 •Unit 09: Chat GPT - Creating HTML Instances: 00:01:00 •Unit 10: Chat GPT - How to Solve Specific Business Problems: 00:02:00 •Unit 11: Chat GPT - Statistical Verification of Information: 00:01:00 •Unit 12: Chat GPT - Rewrite Content for Different Contexts: 00:02:00 •Unit 13: ChatGPT - Content Checked With AI: 00:02:00 •Unit 14: ChatGPT - Simplifying Information: 00:01:00 •Unit 15: ChatGPT - How to Ask the Chatbot about Context: 00:01:00 •Unit 16: ChatGPT - How to Cross-Post Queries: 00:01:00 •Unit 17: ChatGPT - How to Narrow Down the Context of Your Query: 00:02:00 •Unit 18: ChatGPT - How to Solve a Business Process: 00:02:00 •Unit 19: ChatGPT - Developing a Methodology From Experts: 00:01:00 •Unit 20: The Future of ChatGPT: 00:01:00 •Unit 01: Autonous AI Agents: 00:01:00 •Unit 02: Connecting to Open AI: 00:01:00 •Unit 03: Getting an OpenAI Key: 00:01:00 •Unit 04: Agent GPT - Autonomous AI: 00:02:00 •Unit 05: GoalGPT - Autonomous Agents: 00:01:00 •Unit 06: Cognosis - Autonomous AI: 00:02:00 •Unit 07: Aomni - Autonomous Agent: 00:01:00 •Unit 08: Durable - Build a Website with AI: 00:01:00 •Unit 09: Eightify Summaries: 00:02:00 •Unit 10: Genei - Do Higher Quality Research with AI: 00:01:00 •Unit 11: Ellicit - Do Higher Quality Research with AI: 00:01:00 •Unit 12: Inciteful - Do Higher Quality Research with AI: 00:02:00 •Unit 13: SciteAI Determine the Credibility of Your Research: 00:01:00 •Unit 14: Eleven Labs - Voice Cloning: 00:02:00 •Unit 15: AgentGPT - Wrap Up and Return: 00:01:00 •Unit 16: Cognosys - Wrap Up and Return: 00:01:00 •Unit 17: Aomni - Wrap Up and Return: 00:01:00 •Unit 18: Goal GPT - Wrap Up and Return: 00:01:00 •Unit 19: Uploading Research Reports to Summarization Applications: 00:01:00 •Unit 20: Perspective on The Future of AI: 00:01:00 •Unit 01: Meta Search Sites: 00:02:00 •Unit 02: SMMRY for Summarzing: 00:01:00 •Unit 03: ChatGPT Plugins Waitlist: 00:01:00 •Unit 04: Using Microsoft Bing Search: 00:02:00 •Unit 05: Using Google Bard: 00:01:00 •Unit 06: Microsoft Word Speech To Text: 00:01:00 •Unit 07: Transcribe Audio in Microsoft Word: 00:02:00 •Unit 08: Speechify: 00:02:00 •Unit 09: Exact Image Creation: 00:01:00 •Unit 10: AI Design Tools: 00:02:00 •Unit 11: Learn How to Prompt: 00:01:00 •Unit 12: Content Improvement: 00:01:00 •Unit 13: Idea Generation: 00:01:00 •Unit 14: Audio Enhancement with Adobe: 00:02:00 •Unit 15: Clean up Audio With Cleaanvoice: 00:01:00 •Unit 16: Notion-AI: 00:01:00 •Unit 17: Pictory: 00:01:00 •Unit 18: Lex: 00:01:00 •Unit 19: ChatPDF: 00:01:00 •Unit 20: Conclusion and the Future of Generatie AI - Searchie: 00:01:00

Overview This comprehensive course on Healthy Fitness will deepen your understanding on this topic .After successful completion of this course you can acquire the required skills in this sector. This Healthy Fitness 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 Healthy Fitness . It is available to all students, of all academic backgrounds. Requirements Our Healthy Fitness is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 7 sections • 108 lectures • 05:35:00 total length •Day 01 -Leg Blast: 00:10:00 •Day 02 -Upper Body: 00:11:00 •Day 03 -Cardio Blast: 00:10:00 •Day 04 -Dynamic Upper Body: 00:10:00 •Day 05 -Dynamic Lower Body: 00:12:00 •Day 06 -Core: 00:09:00 •Day 07 -Stretching and Isometrics: 00:16:00 •Beginning High Intensity Training: 00:04:00 •HIT Recovery: 00:04:00 •Science of Body building: 00:04:00 •Foundations of HIT: 00:03:00 •Debunking Myths of Lifting: 00:04:00 •The Most Important Thing In Training: 00:04:00 •HIT Workout Day One: 00:04:00 •HIT Workout Day Two: 00:04:00 •HIT Diet: 00:04:00 •Beginning High Intensity Training: 00:04:00 •Foundations Of HIT: 00:03:00 •Debunking Myths Of Lifting: 00:04:00 •Science of Bodybuilding: 00:04:00 •The Most Important Thing In Training: 00:04:00 •HIT Recovery: 00:04:00 •HIT Workout Day One: 00:04:00 •HIT Diet: 00:04:00 •HIT Workout Day Two: 00:04:00 •Not All Strength is Created Equal: 00:06:00 •Body Weight Training: 00:04:00 •Gym Based Training: 00:07:00 •A Simple Workout You Can Do Anywhere: 00:07:00 •Crossfit: is it for you?: 00:05:00 •Stretching: Why It's So Important: 00:07:00 •HIIT and TABATA Explained: 00:05:00 •How to Hire A Personal Trainer: 00:10:00 •Paleo Diet Explained: 00:05:00 •Creating Your Own Training Program: 00:06:00 •Introduction: 00:01:00 •The Importance Of Joint Health: 00:07:00 •A Look At Common Joint Problems: 00:07:00 •Exercise Your Joints: 00:08:00 •Balance Your Diet: 00:08:00 •Watch Your Weight: 00:06:00 •Home Remedies For Easing Joint Pains: 00:07:00 •Best Supplements For Joint Health: 00:10:00 •Other Options To Treat Joint Pains: 00:07:00 •Conclusion: 00:01:00 •Clips Home Fitness Man: 00:02:00 •Workout Aid your Recovery: 00:01:00 •Workout Aim past your goal: 00:01:00 •Workout Air Your Dirty Laundry: 00:01:00 •Workout Avoid Tendinitis: 00:01:00 •Workout Back Flys: 00:01:00 •Workout Back to Comfort: 00:01:00 •Workout Be a Lightweight: 00:01:00 •Workout Be an Early Bird: 00:01:00 •Workout Be an Energizer Bunny: 00:01:00 •Workout Become a Better Runner: 00:01:00 •Workout Bike more Efficiently: 00:01:00 •Workout Bike Uphill Better: 00:01:00 •Workout Biking: 00:01:00 •Workout Break out the Cash: 00:01:00 •Workout Breathe as You Rise: 00:01:00 •Workout Build Your Back: 00:01:00 •Workout Catch Baseballs Better: 00:01:00 •Workout Catch the Spiral: 00:01:00 •Workout Chin-Ups: 00:01:00 •Workout Close Grip Bench: 00:01:00 •Workout Close Grip Lat Pull-Down: 00:01:00 •Workout Count Backwards from 100: 00:01:00 •Workout Create Constructive Sleep Habits: 00:01:00 •Workout Crumple and Crush: 00:01:00 •Workout Crunches: 00:01:00 •Workout Deadlift: 00:01:00 •Workout Dips: 00:01:00 •Workout Diversify for Ultimate Success: 00:01:00 •Workout Do it in Parts: 00:01:00 •Workout Elliptical: 00:01:00 •Workout Exercise Bike: 00:01:00 •Workout Incline Dumbbell Press: 00:01:00 •Workout Incline Reverse Flys: 00:01:00 •Workout Jump Rope: 00:01:00 •Workout Jumping Jacks: 00:01:00 •Workout Knee Push-Ups: 00:01:00 •Workout Leg Curls: 00:01:00 •Workout Leg Extensions: 00:01:00 •Workout Leg Press: 00:01:00 •Workout Leg Raises: 00:01:00 •Workout Lower Back Raises: 00:01:00 •Workout Lunges: 00:01:00 •Workout Military Press: 00:01:00 •Workout Oblique Crunches: 00:01:00 •Workout Oblique Sit-Ups: 00:01:00 •Workout Overhead Triceps Extension: 00:01:00 •Workout Preacher Curl: 00:01:00 •Workout Pull-Ups: 00:01:00 •Workout Push-Ups: 00:01:00 •Workout Runner: 00:01:00 •Workout Running Treadmill: 00:01:00 •Workout Seated Row: 00:01:00 •Workout Shoulder Press: 00:01:00 •Workout Side Dumbbell Raise: 00:01:00 •Workout Single Arm Curl: 00:01:00 •Workout Sit-ups: 00:01:00 •Workout Squats: 00:01:00 •Workout Triceps Kickback: 00:01:00 •Workout Upright Barbell Rows: 00:01:00 •Workout Walking: 00:01:00 •Workout Wide Grip Pull-Down: 00:01:00 •Assignment - Healthy Fitness: 00:00:00

Overview This comprehensive course on Python Programming: Beginner To Expert will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python Programming: Beginner To Expert 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 Python Programming: Beginner To Expert. It is available to all students, of all academic backgrounds. Requirements Our Python Programming: Beginner To Expert is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 18 sections • 121 lectures • 15:27:00 total length •Intro To Python Section Overview: 00:05:00 •What is Python Programming: 00:10:00 •Who is This Course For: 00:05:00 •Python Programming Marketplace: 00:06:00 •Python Job Opportunities: 00:05:00 •How To Land a Python Job Without a Degree: 00:08:00 •Python Programmer Job Roles: 00:09:00 •Python from A-Z Course Structure: 00:04:00 •Getting Familiar with Python Section Overview: 00:06:00 •Installing Python on Windows: 00:10:00 •Anaconda and Jupyter Notebooks Part 1: 00:08:00 •Anaconda and Jupyter Notebooks Part 2: 00:16:00 •Comments: 00:05:00 •Python Syntax: 00:02:00 •Line Structure: 00:03:00 •Line Structure Exercise: 00:07:00 •Joining Lines: 00:05:00 •Multiple Statements on a Single Line: 00:05:00 •Indentation: 00:08:00 •Basic Data Types Section Overview: 00:08:00 •String Overview: 00:10:00 •String Manipulation: 00:07:00 •String Indexing: 00:04:00 •String Slicing: 00:08:00 •Printing: 00:10:00 •Python Variables: 00:08:00 •Integers and Floats: 00:08:00 •Booleans: 00:05:00 •Mini Project 1 : Letter Counter: 00:20:00 •Python Operators Section Overview: 00:04:00 •Comparison Operators: 00:09:00 •Arithmetic Operators: 00:08:00 •Assignment Operators: 00:04:00 •Logical Operators: 00:13:00 •Identity Operators: 00:05:00 •Membership Operators: 00:02:00 •Bitwise Operators: 00:08:00 •Python Advanced Data Types Section Overview: 00:11:00 •Sets: 00:06:00 •List Overview: 00:05:00 •List Slicing and Indexing: 00:04:00 •Tuples: 00:02:00 •When to use each one?: 00:05:00 •Compound Data Types: 00:03:00 •Dictionaries: 00:11:00 •Control Flow Part 1 Section Overview: 00:15:00 •Intro to Control Flow: 00:01:00 •Basic Conditional Statements: 00:14:00 •More Conditional Statements: 00:05:00 •For Loops: 00:10:00 •While Loops: 00:12:00 •Control Flow Part 2 Section Overview: 00:02:00 •Break Statements: 00:08:00 •Continue Statements: 00:05:00 •Zip Function: 00:07:00 •Enumerate Function: 00:04:00 •List Comprehension: 00:04:00 •Python Functions Section Overview: 00:03:00 •Intro to Functions: 00:02:00 •Python help Function: 00:03:00 •Defining Functions: 00:09:00 •Variable Scope: 00:08:00 •Doc Strings: 00:04:00 •User Input and Error Handling Section Overview: 00:02:00 •Introduction to error handling: 00:03:00 •User Input: 00:04:00 •Syntax Errors: 00:04:00 •Exceptions: 00:11:00 •Handling Exceptions Part 1: 00:08:00 •Handling Exceptions Part 2: 00:08:00 •Python Advanced Functions Section Overview: 00:05:00 •Lambda Functions: 00:05:00 •Functions args and kwargs: 00:10:00 •Iterators: 00:08:00 •Generators and Yield: 00:12:00 •Map Function: 00:14:00 •Filter Function: 00:08:00 •Python Scripting and Libraries Section Overview: 00:05:00 •What is a script: 00:01:00 •What is an IDE: 00:17:00 •What is a text editor?: 00:12:00 •From Jupyter Notebook to VScode Part 1: 00:15:00 •From Jupyter Notebook to VScode Part 2: 00:05:00 •Importing Scripts: 00:03:00 •Standard Libraries: 00:04:00 •Third Party Libraries: 00:06:00 •NumPy Section Overview: 00:04:00 •Intro to NumPy: 00:04:00 •Why use NumPy?: 00:04:00 •NumPy Arrays: 00:10:00 •Reshaping, Accessing, and Modifying: 00:07:00 •Slicing and Copying: 00:06:00 •Inserting, Appending, and Deleting: 00:10:00 •Array Logical Indexing: 00:04:00 •Broadcasting: 00:08:00 •Intro to Pandas: 00:17:00 •Pandas Series: 00:17:00 •Pandas Series Manipulation: 00:17:00 •Pandas DataFrame: 00:17:00 •Pandas DataFrame Manipulation: 00:13:00 •Dealing with Missing Values: 00:10:00 •Functional vs OOP: 00:06:00 •OOP Key Definitions: 00:04:00 •Create your First Class: 00:12:00 •How to Create and Use Objects: 00:06:00 •How to Modify Attributes: 00:12:00 •Python Decorators: 00:27:00 •Property Decorator: 00:09:00 •Class Method Decorator: 00:07:00 •Static Methods: 00:10:00 •Inheritance from A to Z: 00:21:00 •Python Career Section Overview: 00:06:00 •Getting Started with Freelancing: 00:09:00 •Building A Brand: 00:12:00 •Personal Branding: 00:13:00 •Importance of Having Website/Blog: 00:04:00 •Do's And Don'ts Of Networking: 00:06:00 •Top Freelance Websites: 00:08:00 •Creating A Python Developer Resume: 00:06:00 •Resources - Python Programming: Beginner To Expert: 00:00:00 •Assignment - Python Programming: Beginner To Expert: 00:00:00

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Overview This comprehensive course on Wedding Photography will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Wedding Photography comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Wedding Photography. It is available to all students, of all academic backgrounds. Requirements Our Wedding Photography is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 8 sections • 78 lectures • 04:41:00 total length •01. introduction ##00 00:02:00 •01. Introduction ##01 What is this course all about: 00:01:00 •01. Introduction ##02 Who am I: 00:01:00 •01. Introduction ##03 Top 5 Tips for Better Wedding Photos: 00:03:00 •01. Introduction ##04 Why should you Become a Wedding photographer: 00:02:00 •01. Introduction ##05 How to Succeed with this course: 00:01:00 •01. Introduction ##06 Live Posing Session: 00:13:00 •02. Setting Up Your Business ##01 Section Intro: 00:01:00 •02. Setting Up your Business ##02 What Type of Wedding Photographer are you: 00:03:00 •02. Setting Up Your Business ##03 Equipment You Need toGet Started: 00:05:00 •02. Setting Up Your Business ##04 What Camera Brand is Best: 00:02:00 •02. Setting Up Your Business ##05 Where Should you buy Camera equipment: 00:01:00 •02. Setting Up Your Business ##06 Picking a Name for Your Company: 00:03:00 •02 Setting Up Your Business ##07 Launching a Website - Top Tips for a Successful Site: 00:05:00 •02. Setting Up Your Business ##08 Action Item-Pick a Name & Build a Website: 00:01:00 •02. Setting Up Your Business ##09 Creating Wedding Photography Packages: 00:05:00 •02. Setting Up Your Busines ##10 Pricing for Success: 00:09:00 •02. Setting Up Your Busines ##11 How to Get Your First Client: 00:04:00 •02. Setting Up Your Busines ##12 The Importance of Contracts: 00:03:00 •02. Setting Up Your Busines ##13 The Wedding Photography: 00:02:00 •02. Setting Up Your Busines ##15 Recap - Setting up your business: 00:02:00 •03. Wedding Day Overview ##01 Section Intro: 00:02:00 •03. Wedding Day Overview ##02 Taking Care of Business on the Wedding Day: 00:02:00 •03. Wedding Day Overview ##03 Overview of What to Photograph: 00:12:00 •03. Wedding Day Overview ##04 Using Pinterest to find Inspirational Photos: 00:02:00 •03. Wedding Day Overview ##05 Recap of Wedding Overview: 00:01:00 •04. How to Shoot a Wedding ##01 Section Intro: 00:03:00 •04. How to Shoot a Wedding ##02 Wedding Day Equipment Check: 00:05:00 •04. How to Shoot a Wedding ##03 Wedding Day Consideration-Day-Night-Indoor-Outdoor: 00:03:00 •04. How to Shoot a Wedding ##04 Do You Need an Assistant or Second Shooter: 00:04:00 •04. How to Shoot a Wedding ##05 How Much to Pay a second Shooter: 00:01:00 •04. How to Shoot a Wedding ##06 Scheduling the Wedding Day (First, Looks, Candide, Posed Family Shits): 00:02:00 •04. How to Shoot a Wedding ##07 Achieving Your Look: 00:01:00 •04. How to Shoot a Wedding ##08 Details: 00:05:00 •04. How to Shoot a Wedding ##09 Groom Preparation: 00:09:00 •04. How to Shoot a Wedding ##10 Bride Preparation: 00:11:00 •04. How to Shoot a Wedding ##11 Walking Down the Aisle: 00:04:00 •04. How to Shoot a Wedding ##12 Ceremony Coverage: 00:12:00 •04. How to Shoot a Wedding ##13 Readers: 00:03:00 •04. How to Shoot a Wedding ##14 Rings, Vows,Kiss: 00:03:00 •04. How to Shoot a Wedding ##15 Post-Ceremony: 00:05:00 •04. How to Shoot a Wedding ##16 How to Shoot Family Shots: 00:08:00 •04. How to Shoot a Wedding ##17 Posed Couple Shots: 00:13:00 •04. How to Shoot a Wedding ##18 Grand Entrance: 00:01:00 •04. How to Shoot a Wedding ##19 Reception Details: 00:06:00 •04. How to Shoot a Wedding ##20 Toast and Speeches: 00:06:00 •04. How to Shoot a Wedding ##21 Cake Cutting: 00:03:00 •04. How to Shoot a Wedding ##22 First Dance: 00:06:00 •04. How to Shoot a Wedding ##23 Bouquet Garter Toss: 00:03:00 •04. How to Shoot a Wedding ##24 Dance Party: 00:06:00 •04. How to Shoot a Wedding ##25 Recap - How to Shoot a Wedding: 00:01:00 •05. Editing Wedding Photos ##01 section Intro: 00:01:00 •05. Editing Wedding Photos ##02 Choosing an Editing App: 00:02:00 •05. Editing Wedding Photos ##03 Editing in Lightroom: 00:10:00 •05. Editing Wedding Photos ##04 Exporting from Lightroom: 00:03:00 •05. Editing Wedding Photos ##05 Editing in Photoshop: 00:11:00 •05. Editing Wedding Photos ##06 Creating Online Galleries: 00:06:00 •05. Editing Wedding Photos ##07 Recap of Editing Section: 00:01:00 •06. Succeeding Wedding Photography ##01 Section Intro: 00:01:00 •06. Succeeding Wedding Photography ##02 Being Happy - Tips from a Wedding Photographer: 00:01:00 •06. Succeeding Wedding Photography ##03 Making it a Business and Sticking to it: 00:02:00 •06. Succeeding Wedding Photography ##04 Building Out Your Portfolio: 00:01:00 •06. Succeeding Wedding Photography ##05 Dealing With Saturated Photography Markets: 00:02:00 •06. Succeeding Wedding Photography ##06 Competing With Family Photographers for Jobs: 00:01:00 •06. Succeeding Wedding Photography ##07 Working With Other Vendors for Success: 00:01:00 •06. Succeeding Wedding Photography ##08 Using Social Networks to Expand Your Business: 00:02:00 •06. Succeeding Wedding Photography ##09 Testimonials - Yelp, Wedding Wire, The Knot: 00:02:00 •06. Succeeding Wedding Photography ##10 Recap Succeeding With Wedding Photography: 00:01:00 •07. Wrap Up ##01 Thank You and What's Next: 00:01:00 •08. Bonus Engagement Photography ##01 Section Intro: 00:01:00 •08. Bonus Engagement Photography ##02 Equipment Check for the Engagement Photo Session: 00:01:00 •08. Bonus Engagement Photography ##03 How Much To Charge for an engagement Session: 00:01:00 •08. Bonus Engagement Photography ##04 Picking the Perfect Location for Engagement Photos: 00:02:00 •08. Bonus Engagement Photography ##05 Tips for Posing and Interacting with Clients for engagement Photos: 00:01:00 •08. Bonus Engagement Photography ##06 Engagement Photo Review: 00:07:00 •08. Bonus Engagement Photography ##07 Bonus Engagement Recap: 00:01:00 •How to Use Pinterest to Find Great Wedding Poses: 00:02:00 •How-to-Register-a-Domain-Name-with-Godaddy-with-a-Promo-Code: 00:04:00

Overview This comprehensive course on Fitness Business - Sell Products, Training & Coaching Online will deepen your understanding on this topic.After successful completion of this course you can acquire the required skills in this sector. This Fitness Business - Sell Products, Training & Coaching Online 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 Fitness Business - Sell Products, Training & Coaching Online. It is available to all students, of all academic backgrounds. Requirements Our Fitness Business - Sell Products, Training & Coaching Online is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 44 lectures • 03:08:00 total length •Who this course is for: 00:02:00 •What you will learn: 00:03:00 •Fitness Business Models Overview: 00:02:00 •The Coaching Business Model: 00:04:00 •Selling Products Business Model: 00:06:00 •Affiliate Marketing Business Model: 00:06:00 •Fitness Sponsorships: 00:02:00 •The First Steps: 00:03:00 •Finding The Right Fitness Niche: 00:04:00 •How To Identify The Ideal Coaching Client: 00:05:00 •How To Identify Your Clients Pain Points: 00:03:00 •How To Become An Expert: 00:04:00 •Understand What You Are Selling: 00:01:00 •Creating Your First Fitness Information Product: 00:07:00 •MVP - Minimal Viable Product: 00:03:00 •Creating Your First Workout Routine / Diet Plan: 00:04:00 •Writing Your First Fitness eBook: 00:06:00 •Recording Your First Fitness Video Course: 00:06:00 •Creating A Coaching Offer: 00:03:00 •Overview: 00:02:00 •Most Common Fitness Marketing Mistakes: 00:04:00 •Setting SMART Marketing Goals: 00:07:00 •Crafting A Stong Marketing Message: 00:06:00 •Choosing The Right Marketing Channel: 00:08:00 •Email Marketing For Your Product: 00:03:00 •How To Build An Email List: 00:03:00 •Your First Autoresponder Series: 00:10:00 •How To Build The Perfect Lead Magnet: 00:05:00 •How To Use WordPress For Your Fitness Business: 00:08:00 •Installing WordPress: 00:05:00 •Building A Landing Page: 00:06:00 •Building A Thank You Page: 00:03:00 •Starting A Niche Youtube Channel: 00:05:00 •Keyword Research For Youtube: 00:04:00 •My Youtube Content Strategy: 00:04:00 •How To Set Up Your First Lead Ad In Facebook: 00:06:00 •Affiliate Marketing Overview: 00:01:00 •Writing Blog Posts With Affiliate Links: 00:04:00 •Making Affiliate Sales With Youtube Videos: 00:03:00 •Motivation Intro: 00:01:00 •How To Deal With Difficult Customers / Clients: 00:03:00 •How To Deal With Email Overload: 00:04:00 •How To Develop The Mindset Of An Entrepreneur: 00:04:00 •How To Not Lose Track Of Your Business Goals: 00:05:00

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

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 Banking and Finance Accounting Statements Financial Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Banking and Finance Accounting Statements Financial Analysis 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 Banking and Finance Accounting Statements Financial Analysis. It is available to all students, of all academic backgrounds. Requirements Our Banking and Finance Accounting Statements Financial Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 11 sections • 54 lectures • 04:53:00 total length •Introduction to Financial Statements and Analysis: 00:05:00 •Why are Financial Statements Important: 00:07:00 •What do we mean by Financial Accounting?: 00:04:00 •Accounting Standards and why they are important: 00:06:00 •The Concepts and Principles Underlying Accounting: 00:06:00 •Single Entry vs Double Entry Book Keeping: 00:08:00 •Understanding The Accounting Equation: 00:06:00 •The Accounting Cycle: 00:05:00 •Financial Statements: 00:07:00 •Section Introduction - Understanding Financial Statements: 00:02:00 •Overview of Financial Statements: 00:03:00 •GAAP: Accruals and Cash Accounting: 00:06:00 •Income Statement or Profit and Loss Account: 00:08:00 •Introduction to the Balance Sheet: 00:11:00 •Introduction to the Cash Flow Statement: 00:06:00 •Cash Flow Metrics Explained: 00:09:00 •Case Study- Apple Financial Statements: 00:04:00 •What is Working Capital: 00:03:00 •What is the Working Capital Cycle?: 00:05:00 •Why is working Capital Management important: 00:05:00 •Working Capital Analysis: 00:05:00 •Working Capital Ratios: 00:07:00 •Working Capital Policies: 00:05:00 •Working Capital Summary: 00:03:00 •Section Introduction: Strategic Financial Analysis: 00:01:00 •What is Financial Analysis?: 00:11:00 •Measures of Profitability Financial Analysis: 00:04:00 •Balance Sheet Ratio Analysis: 00:12:00 •Cash Flow Statement Analysis: 00:05:00 •Valuation Ratios: 00:04:00 •Section Introduction: Financial Analysis - Case Study and Assignment: 00:01:00 •Case Study Assignments Apple Inc Financial Analysis: 00:06:00 •Apple Inc Financial Analysis - Solution: 00:03:00 •Discussion of Measurements of Growth Analysis: 00:05:00 •Discussion of Measures of Profitability Analysis: 00:07:00 •Discussion of Trading Performance Analysis: 00:03:00 •Discussion of Working Capital (Liquidity and Efficiency) Analysis: 00:12:00 •What do we mean by Corporate Finance?: 00:06:00 •Financial Ratios in Corporate Finance: 00:03:00 •Liquidity Ratios in Corporate Finance: 00:08:00 •Operational Risk Ratios in Corporate Finance: 00:08:00 •Profitability Ratios in Corporate Finance: 00:08:00 •Efficiency Ratios in Corporate Finance: 00:07:00 •Why is modelling so critical: 00:03:00 •Three Models You Will Need: 00:08:00 •Understanding The Integrated Financial Statements Model: 00:06:00 •The Integrated Financial Statements Model Example: 00:07:00 •Key Tips to Modelling the Integrated Financial Statements Model: 00:02:00 •Assignment - Banking and Finance Accounting Statements Financial Analysis: 00:00:00 •Understanding the Discounted Cash Flow Formula: 00:06:00 •Understanding the Merger Model: 00:08:00 •Course Summary and Wrap Up: 00:03:00 •Banking and Finance Accounting Statements Financial Analysis: 00:00:00 •Assignment - Banking and Finance Accounting Statements Financial Analysis: 00:00:00