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Kickstart a successful career in marketing and advertising with this complete training package for small business owners and aspiring professionals! The Digital Marketing, SEO and Virtual Advertising Diploma course will teach you effective techniques, best practices and strategies for advertising your product or service online, equipping you with the skills to fast track your career and expand your brand in no time. Get started in setting up your website and discover ways to grow your target market, with tips and guidance for creating the perfect marketing strategy. This course is ideal for small business owners and anyone looking to establish a career in digital marketing and advertising.  Why buy this Digital Marketing, SEO and Virtual Advertising Diploma? 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 Digital Marketing, SEO and Virtual Advertising Diploma 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 Digital Marketing, SEO and Virtual Advertising Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Digital Marketing, SEO and Virtual Advertising Diploma 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 Digital Marketing, SEO and Virtual Advertising Diploma is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Introduction Welcome 00:01:00 Module 02: General Tips & Tricks Series How to register your company 00:04:00 How to see Email Sender's Company and Logo in Your Gmail 00:02:00 How to Generate sitemap of a website 00:03:00 How to protect a website from Spam on WordPress 00:02:00 Quick way to identify whether the website is Mobile optimized 00:03:00 How to identify registration data of website 00:01:00 How to identify duplicate content from the web 00:03:00 How to create google alerts 00:03:00 How to find the age of the domin 00:02:00 How to check if the website server is down 00:01:00 How to create text notes thatwill self destruct after being read 00:02:00 How to send google search information to your friends 00:03:00 How to find webhost of any website 00:02:00 Discover new sites that are similar to what you like alredy 00:03:00 How to easily highlight the important parts of a web page 00:01:00 How to share you email online without worrying about spam 00:02:00 How to get compute level answers without searching 00:03:00 The easiest way to setup email reminders 00:03:00 How to find the original URL tht's hiding behind a short URL 00:02:00 How to corrupt a file you shared online 00:01:00 How to create a throwaway email 00:02:00 How to check if your email account has been compromised 00:01:00 Module 03: SEO (Search Engine Optimisation) How to register website on Google search console 00:06:00 How to Optimize your website homepage 00:06:00 How to add a sitemap on google search 00:07:00 How to shortlist targeted keyword list in google keyword planner 00:08:00 How to set international targeting on google search 00:02:00 How to remove a URL from google search engine 00:03:00 How to identify competitors keyword 00:08:00 How to leverage top sites to get on google search results 00:04:00 Discover powerful data analytics to mesure SEO performance 00:06:00 How to do keyword research 00:11:00 How to write perfect title tags for search engines 00:05:00 How to optimise heading tags, external and internal links 00:08:00 What are backlinks & how to get them 00:06:00 How to write a perfect Meta description 00:06:00 How to enhance speed & performance of your website 00:04:00 Module 04: YouTube Youtube account setup 00:04:00 Account optimization 00:09:00 How to create & setup Youtube channel banner 00:05:00 Youtube channel tags, thumbnails & custom thumbnails 00:08:00 Analyse Youtube keyword research 00:05:00 Youtube SEO techniques 00:07:00 What are Youtube cards & how does it work 00:06:00 How to optimise comments & reply them in bulk 00:03:00 How to grow your channel with competitor Analysis 00:07:00 How to manage multiple YouTube accounts 00:02:00 A simple yet powerful trick to increase your subscribers list 00:03:00 Youtube Paid Advertising 00:13:00 How to monetise your YouTube channel 00:02:00 Module 05: Google Adwords What are Google Ads & how does it work 00:16:00 Account setup 00:04:00 Competitors analysis 00:08:00 Campaign types & how to select the right campaign 00:07:00 Bids & Budgets 00:08:00 How to target the right audience 00:07:00 Google Ads advance campaign settings 00:07:00 Choosing the right keywords 00:05:00 How to write ads that gets more clicks 00:06:00 Module 06: Google Analytics How to install tracking code on your website 00:04:00 How to add filters & remove internal traffic 00:04:00 How to track paid campaigns 00:04:00 How to look and analyse different segment data 00:06:00 How to configure goals in google analysics 00:05:00 How to link google Adwords account 00:03:00 How to manage multiple analytics accounts 00:02:00 How to remove spam traffic 00:04:00 Module 07: Email Marketing Email marketing tools set up ( Mailchimp and Gestresponse) 00:10:00 How to install signup or popup forms on the website 00:17:00 How to collect email address without a wbsite 00:05:00 How to create a 'Hook' to your signup forms 00:08:00 Discover the psychology behind acquiring more leads 00:09:00 Email marketing automation process 00:08:00 Email analytics 00:07:00 Module 08: Linkedln How to increase your connections in no time 00:08:00 Secret of LinkedIn InMails 00:05:00 Discover the best ways to use Linkedin Groups 00:09:00 How to setup a company page on Linkedin 00:04:00 How to increase traffic to your website using Linkedin blog 00:07:00 Module 09: Twitter Twitter Account setup 00:03:00 Knowing Twitter features 00:06:00 Following twitter accounts 00:03:00 Twitter profile optimisation 00:06:00 How to get Twitter followers 00:10:00 Posting first 5 tweets for engagement 00:05:00 Leveraging Hashtags to increase your tweets visibility 00:04:00 What are twitter polls & how do you use them 00:05:00 A powerful trick to acquire customers on twitter 00:03:00 How to get followers retweet your post 00:03:00 How to embed a twitter button to your website or post 00:02:00 Twitter analytics 00:04:00 Module 10: Facebook Set your Facebook page 00:05:00 Facebook Icon, cover image & description 00:06:00 How to get your first page likes 00:08:00 Discover how to increase your page likes 00:02:00 How to manage multiple Facebook page 00:03:00 Facebook comments 00:05:00 Leveraging Facebook groups 00:05:00 Facebook Autoposting 00:04:00 Run a competition 00:06:00 Facebook Ads 00:04:00 How to get best out of Facebook 00:15:00 Facebook pixel & Re-marketing 00:04:00 Module 11: Instagram How to setup a Instagram business profile 00:07:00 Set up Instagram bio & profile image 00:03:00 Leveraging Instagram accounts 00:06:00 A simple way to create free content on Instagram 00:05:00 Secret of hashtags on Instagram 00:04:00 Reposting Instagram App 00:04:00 How to get genuine Instagram followers 00:05:00 Discover how to grow your business through Instagram stories 00:05:00 How to get your posts reposted on Instgram by influncers 00:05:00 Module 12: Mobile App A quick way to do App store marketing research 00:16:00 How to discover the estimate size of your market 00:08:00 Discover the best ways to promote your app 00:15:00 App installs via Facebook Ads 00:16:00 App installs via Google Ads 00:14:00 How to make money from your app 00:08:00 How to optimise your App store listing ? 00:14:00 Discover growth hacking techniques for App downloads 00:09:00 Techniques to get to the top of App store ranking 00:07:00

Learn how to create an automated trading bot using Python with this comprehensive course. Master Python basics, understand trading fundamentals, build and integrate the bot with a broker API, and run it effectively. Learning Outcomes: Gain proficiency in Python programming for trading purposes. Understand the fundamental concepts of trading and market dynamics. Build a structured trading bot using Python and Github version control. Integrate the bot with a broker API for real-time trading functionality. Successfully run and manage the automated trading bot for efficient execution. Why buy this Making Automated Trading Bot Using Python? 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 Making Automated Trading Bot Using Python 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 Making Automated Trading Bot Using Python 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 Making Automated Trading Bot Using Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Making Automated Trading Bot Using Python 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 Making Automated Trading Bot Using Python is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction About the course structure 00:05:00 Why working is important? 00:04:00 The free and perfect tools 00:07:00 Our editor: Atom 00:04:00 Version control: Github 00:07:00 Python download (Mac) 00:05:00 Python download (Windows) 00:02:00 Section 02: Python Basics for Trading Introduction 00:03:00 Python Libraries 00:05:00 Iterators: for 00:08:00 Iterators: while 00:08:00 Conditionals: if & else 00:10:00 Logic gates: and & or 00:09:00 Error handling: try & except 00:09:00 Functions and calls to libraries 00:13:00 Objects and classes (1) 00:10:00 Objects and classes (2) 00:07:00 Debugging the code 00:12:00 Closing and wrap up 00:01:00 Section 03: Trading Basics Introduction 00:03:00 Fundamental vs Technical Analysis 00:04:00 Stocks vs CFDs 00:05:00 Long and Short positions 00:04:00 Takeprofit and Stoploss 00:03:00 Setting a real Stoploss 00:08:00 Limit and Market orders 00:10:00 Don't forget the spread 00:04:00 Stock data visualisation: candles 00:08:00 Technical Indicators: about 00:05:00 Exponential Moving Average 00:08:00 EMA use and interpretation 00:06:00 Relative Strength Index 00:07:00 Stochastic Oscillator 00:09:00 Closing and wrap up 00:01:00 Section 04: Bot Code General Structure Introduction 00:02:00 Overview 00:08:00 The Entry Strategy 00:10:00 About Tradingview 00:12:00 When to enter (1) 00:08:00 When to enter (2) 00:08:00 Open and hold a position 00:12:00 Closing a position 00:08:00 Review (1) 00:06:00 Review (2) 00:13:00 Closing 00:02:00 Section 05: Github Basics Introduction 00:04:00 Download and install Github 00:01:00 Create a repo 00:10:00 Working with branches 00:13:00 Section 06: Building Your Bot Introduction 00:05:00 Create the first bot file 00:07:00 Building the bot scheme 00:08:00 Complete your code scheme (1) 00:11:00 Complete your code scheme (2) 00:11:00 Complete your code scheme (3) 00:18:00 A logger to remember (1) 00:14:00 A logger to remember (2) 00:14:00 Organising your code 00:07:00 Main function: run bot 00:23:00 Link the bot and the library 00:08:00 Traderlib control functions (1) 00:12:00 Traderlib control functions (2) 00:13:00 Check if tradable function 00:06:00 Set stoploss function 00:10:00 Set takeprofit function 00:04:00 Load historical data function 00:01:00 Get open positions function 00:04:00 Submit and cancel order functions 00:04:00 Check positions function 00:09:00 The Tulipy libraries 00:07:00 Importing all the libraries 00:03:00 First filter: get general trend 00:19:00 Second filter: get instant trend 00:14:00 Third filter: RSI 00:08:00 Fourth filter: Stochastic Oscillator 00:14:00 Enter position (1) 00:13:00 Enter position (2) 00:11:00 Enter position (3) 00:15:00 Enter position (4) 00:08:00 Last check before opening 00:13:00 Exit position and get out 00:10:00 Linking everything (1) 00:12:00 Linking everything (2) 00:12:00 Linking everything (3) 00:15:00 Fixing a mistake: going Short 00:05:00 Handling all your variables 00:18:00 Closing and wrap up 00:01:00 Run function scheme clarification and rebuild 00:13:00 Section 07: Integrating the Broker API Introduction 00:03:00 The Alpaca Python API Wrapper 00:07:00 Initialising the REST API 00:09:00 Running the program (crash!) 00:06:00 Integration with check account (1) 00:08:00 Integration with check account (2) 00:05:00 Clean open orders function 00:10:00 Importing the trading library 00:04:00 Running the main 00:05:00 Check position function 00:09:00 Check if asset exists function 00:08:00 Fetching barset data (theory) 00:07:00 Fetching barset data (practice) 00:12:00 Updating the code for the Alpaca API V2 (explanation) 00:03:00 Updating the code for the Alpaca API V2 (implementation) 00:08:00 Organizing data with Pandas 00:06:00 Get general trend function (1) 00:08:00 Reframing the timeframe with Pandas 00:23:00 Get general trend function (2) 00:13:00 Get instant trend function 00:08:00 Get RSI function 00:06:00 Get Stochastic function 00:10:00 Get current price function 00:05:00 Finishing get shares amount 00:09:00 Opening a position (1) 00:12:00 Opening a position (2) 00:09:00 Check the open position 00:07:00 Cancelling the order (1) 00:20:00 Cancelling the order (2) 00:08:00 Making sure we cancelled 00:03:00 Get average entry price function 00:10:00 Fixing bugs when getting price 00:18:00 Check Stochastic crossing 00:02:00 Holding an open position 00:11:00 Submitting the exit order 00:08:00 Closing position and out (1) 00:08:00 Closing position and out (2) 00:10:00 Closing and wrap up 00:01:00 Section 08: Running the Trading Bot Introduction 00:03:00 Filtering asset by price and volume 00:07:00 Get the bot ready to trade 00:04:00 Running the Trading Bot with AAPL 00:09:00 A real open position 00:08:00 Debugging and bug fixing 00:12:00 Fixing one (last) bug 00:02:00 Running the bot with TSLA 00:10:00 Discussing EMA implementations 00:12:00 Closing and wrap up 00:02:00

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 British Sign Language (BSL) 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 British Sign Language (BSL) Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This British Sign Language (BSL) 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 British Sign Language (BSL) 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 British Sign Language (BSL) Course? 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 British Sign Language (BSL) Course 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 British Sign Language (BSL) 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 British Sign Language (BSL) Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This British Sign Language (BSL) Course 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 British Sign Language (BSL) Course is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum British Sign Language Level 1 What is British Sign Language? 00:01:00 Introduction to BSL and Fingerspelling Fingerspelling A-Z with Subtitles 00:02:00 Fingerspelling A-Z without Subtitles 00:01:00 Fingerspelling A-Z 00:00:00 Fingerspelling Right or Left Handed 00:01:00 A to Z Cards 00:10:00 1st Name A to Z in 3 parts - Fingerspelling 00:07:00 1st Name A to Z Fingerspelling 00:00:00 Fingerspelling - Fill in the Blanks 00:10:00 Fingerspelling - Fill in the Blanks - PDF 00:10:00 What is my name and Live, Where? (UK) 00:03:00 Who am I and Live Where in UK 00:10:00 Exchanging Personal Information Meeting People and Introduction with Subtitles 00:02:00 Meeting People and Introduction without Subtitles DONE 00:02:00 Questions on Directions Signs without Subtitles 00:01:00 Family sentences Homework 00:04:00 Meeting People 00:10:00 Families Families 00:10:00 Families Sign Part 1 with Subtitles 00:01:00 Families Sign Part 2 with Subtitles 00:02:00 Families Sign Part 1 without Subtitles DONE 00:01:00 Families Sign Part 2 without Subtitles 00:02:00 Numbers (Time, Calendar and Money) Number 0 to 100 00:05:00 Numbers 00:10:00 Numbers 00:02:00 Numbers 00:10:00 Bingo Numbers Games (4) 00:04:00 BINGO 4 Games 00:10:00 Phone Numbers 00:10:00 Time and Calendar Signs with Subtitles 00:01:00 Time and Calendar without Subtitles 00:01:00 Calendars 00:10:00 Calendars Birthday Ages and Names 00:10:00 What is the Time? With Subtitles 00:01:00 What is the Time? Without Subtitles 00:01:00 What is the time 00:10:00 Calendar Signs with Subtitles 00:05:00 Calendar Signs without Subtitles 00:05:00 Birthday, When? 00:02:00 Birthday When 00:10:00 Colours 00:10:00 Colour Signs with Subtitles 00:01:00 Colour Signs without Subtitles 00:01:00 Colours Games 00:03:00 Draw a colour Elephant 00:02:00 HNADOUT ANSWER Draw a colour Elephant 00:00:00 Colours Colours 00:04:00 Transports Transports 00:10:00 Transports sign without Subtitles 00:01:00 Transports sign without Subtitles 00:01:00 Transport and Time Signs with Subtitles 00:01:00 Transport and Time Signs without Subtitles 00:01:00 Weather Weather Signs with Subtitles 00:01:00 Weather Signs without Subtitles 00:01:00 Weather 00:10:00 Weather and Questions 00:01:00 Directions Directions Signs with Subtitles 00:02:00 Directions Signs without Subtitles 00:02:00 Directions 00:06:00 Questions for Directions Signs with Subtitles 00:01:00 Questions on Directions Signs without Subtitles 00:01:00 Non-Manual Features (NMF) in BSL 00:10:00 Affirmative & Negative Signs with Subtitles 00:01:00 Affirmative & Negative Signs without Subtitles 00:01:00 Affirmative and Negative 00:10:00 Activities/Hobbies and Sports Activities Interests and Sports Handouts 00:10:00 Information about different clubs 00:10:00 Interests and Hobbies with Subtitles 00:03:00 Interests and Hobbies without Subtitles 00:01:00 Sports Signs with Subtitles 00:03:00 Sports Signs without Subtitles 00:03:00 Hobbies/Interests Questions with Subtitles 00:01:00 Hobbies/Interests Questions without Subtitles 00:01:00 Sports Clubs 00:01:00 Description of A Person and Clothes Description of a Person with Subtitles 00:04:00 Description of a Person without Subtitles 00:04:00 Describing a Person 00:13:00 Describing Clothes with Subtitles 00:02:00 Describing Clothes without Subtitles 00:02:00 Wearing Clothes 00:13:00 Animals A -Z of Animals with Subtitles 00:02:00 A -Z of Animals without Subtitles 00:02:00 Animal A to Z 00:22:00 Questions about Pets with Subtitles 00:01:00 Questions about Pets without Subtitles 00:01:00 STUDY About Pets 00:02:00 STUDY ANSWERS About Pets 00:01:00 Numbers (Money) Money Signs (Part 1) with Subtitles 00:01:00 Money Signs (Part 1) without Subtitles 00:01:00 Money Signs (Part 2) without Subtitles 00:01:00 Money Signs (Part 2) without Subtitles 00:01:00 How Much is it? 00:01:00 How much is it 00:01:00 Foods and Drinks Foods and Drinks with Subtitles 00:09:00 Foods and Drinks without Subtitles 00:09:00 Food and Drinks 00:12:00 Hurley's Food and Drink Menu with Images 00:09:00 Hurley's Food and Drink Menu without Images 00:09:00 HANDOUT Top Eat Menu 00:02:00 Hurley' s Food and Drink Menu 00:10:00 STUDY At the Restaurant 00:10:00 STUDY HANDOUT ANSWERS At the Restaurant 00:02:00 Exam STUDY: BSL LEVEL 1 EXAM 00:04:00 STUDY ANSWERS : BSL LEVEL 1 EXAM 00:01:00 British Sign Language Level 2 Asking Questions about the Jobs without Subtitles 00:02:00 Asking Questions about the Jobs without Subtitles 00:02:00 STUDY What is My Job 00:05:00 Job Vocabulary with Subtitles 00:06:00 Job Vocabulary without Subtitles 00:06:00 Jobs Signs with Images 00:02:00 Jobs Signs without Images 00:02:00 Type of Buildings with Subtitles 00:03:00 Type of Buildings without Subtitles 00:03:00 At Home (Room) with subtitles 00:03:00 At Home (Room) without Subtitles 00:01:00 At Home - What is in each room with subtitles 00:05:00 At Home - What is in each room without Subtitles 00:05:00 How to describe each room with Subtitles 00:12:00 Day to Day Routine with Images 00:02:00 Day to Day Routine without images 00:02:00 Emotional Signs with Subtitles 00:02:00 Emotional Signs without Subtitles 00:02:00 Emotional Signs 00:02:00 Emotional Stories Study 00:05:00 Countries and Flags 00:04:00 L2 Itemising_Listings inc 4 Stories 00:09:00 L2 Multi-Channels Sign with Subtitles 00:03:00 L2 Multi-Channels Sign without Subtitles 00:03:00 Transport HOMEWORK 00:03:00 Resources Resources - British Sign Language Level 2 00:00:00 Assignment Assignment - British Sign Language (BSL) Course 06:40:00

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science 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 R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

Welcome to the captivating 'British Sign Language Interpreter Course.' Embark on a transformative journey as you explore the rich world of British Sign Language (BSL) and the art of interpretation. This course is your gateway to becoming a proficient BSL interpreter, and it's designed to immerse you in the language, culture, and nuances of communication for the deaf and hard of hearing community. In Level 1, you'll lay the foundation by delving into the basics of BSL, including fingerspelling and exchanging personal information. You'll progress to more complex topics such as describing people, discussing activities, and even handling financial conversations. Upon successful completion, you'll move to Level 2, where you'll further hone your skills and explore additional resources that enhance your proficiency in BSL interpretation. Whether you aspire to become an interpreter or simply wish to connect with the deaf community, this course is your key to a world of inclusive communication. Learning Outcomes Master the fundamentals of British Sign Language. Gain proficiency in fingerspelling and numbers. Communicate personal information fluently in BSL. Describe people, clothing, animals, and more. Handle financial conversations and navigate real-world scenarios. Why choose this British Sign Language Interpreter 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 British Sign Language Interpreter Course for? Individuals passionate about learning British Sign Language. Aspiring sign language interpreters. Professionals seeking to enhance communication with the deaf community. Students interested in inclusive language and culture. Anyone dedicated to breaking down communication barriers . Career path Sign Language Interpreter: £20,000 - £45,000 Educational Interpreter: £20,000 - £40,000 Community Interpreter: £20,000 - £40,000 Deaf Support Worker: £18,000 - £30,000 Language Instructor: £22,000 - £40,000 Language Access Coordinator: £25,000 - £50,000 Prerequisites This British Sign Language Interpreter Course does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 British Sign Language Level 1 What is British Sign Language? 00:01:00 Introduction to BSL and Fingerspelling Fingerspelling A-Z with Subtitles 00:02:00 Fingerspelling A-Z without Subtitles 00:01:00 Fingerspelling A-Z 00:00:00 Fingerspelling Right or Left Handed 00:01:00 A to Z Cards 00:10:00 1st Name A to Z in 3 parts - Fingerspelling 00:07:00 1st Name A to Z Fingerspelling 00:00:00 Fingerspelling - Fill in the Blanks 00:10:00 Fingerspelling - Fill in the Blanks - PDF 00:10:00 What is my name and Live, Where? (UK) 00:03:00 Who am I and Live Where in UK 00:10:00 Exchanging Personal Information Meeting People and Introduction with Subtitles 00:02:00 Meeting People and Introduction without Subtitles DONE 00:02:00 Questions on Directions Signs without Subtitles 00:01:00 Family sentences Homework 00:04:00 Meeting People 00:10:00 Families Families 00:10:00 Families Sign Part 1 with Subtitles 00:01:00 Families Sign Part 2 with Subtitles 00:02:00 Families Sign Part 1 without Subtitles DONE 00:01:00 Families Sign Part 2 without Subtitles 00:02:00 Numbers (Time, Calendar and Money) Number 0 to 100 00:05:00 Numbers 00:10:00 Numbers 00:02:00 Numbers 00:10:00 Bingo Numbers Games (4) 00:04:00 BINGO 4 Games 00:10:00 Phone Numbers 00:10:00 Time and Calendar Signs with Subtitles 00:01:00 Time and Calendar without Subtitles 00:01:00 Calendars 00:10:00 Calendars Birthday Ages and Names 00:10:00 What is the Time? With Subtitles 00:01:00 What is the Time? Without Subtitles 00:01:00 What is the time 00:10:00 Calendar Signs with Subtitles 00:05:00 Calendar Signs without Subtitles 00:05:00 Birthday, When? 00:02:00 Birthday When 00:10:00 Colours 00:10:00 Colour Signs with Subtitles 00:01:00 Colour Signs without Subtitles 00:01:00 Colours Games 00:03:00 Draw a colour Elephant 00:02:00 HNADOUT ANSWER Draw a colour Elephant 00:00:00 Colours Colours 00:04:00 Transports Transports 00:10:00 Transports sign without Subtitles 00:01:00 Transports sign without Subtitles 00:01:00 Transport and Time Signs with Subtitles 00:01:00 Transport and Time Signs without Subtitles 00:01:00 Weather Weather Signs with Subtitles 00:01:00 Weather Signs without Subtitles 00:01:00 Weather 00:10:00 Weather and Questions 00:01:00 Directions Directions Signs with Subtitles 00:02:00 Directions Signs without Subtitles 00:02:00 Directions 00:06:00 Questions for Directions Signs with Subtitles 00:01:00 Questions on Directions Signs without Subtitles 00:01:00 Non-Manual Features (NMF) in BSL 00:10:00 Affirmative & Negative Signs with Subtitles 00:01:00 Affirmative & Negative Signs without Subtitles 00:01:00 Affirmative and Negative 00:10:00 Activities/Hobbies and Sports Activities Interests and Sports Handouts 00:10:00 Information about different clubs 00:10:00 Interests and Hobbies with Subtitles 00:03:00 Interests and Hobbies without Subtitles 00:01:00 Sports Signs with Subtitles 00:03:00 Sports Signs without Subtitles 00:03:00 Hobbies/Interests Questions with Subtitles 00:01:00 Hobbies/Interests Questions without Subtitles 00:01:00 Sports Clubs 00:01:00 Description of A Person and Clothes Description of a Person with Subtitles 00:04:00 Description of a Person without Subtitles 00:04:00 Describing a Person 00:13:00 Describing Clothes with Subtitles 00:02:00 Describing Clothes without Subtitles 00:02:00 Wearing Clothes 00:13:00 Animals A -Z of Animals with Subtitles 00:02:00 A -Z of Animals without Subtitles 00:02:00 Animal A to Z 00:22:00 Questions about Pets with Subtitles 00:01:00 Questions about Pets without Subtitles 00:01:00 STUDY About Pets 00:02:00 STUDY ANSWERS About Pets 00:01:00 Numbers (Money) Money Signs (Part 1) with Subtitles 00:01:00 Money Signs (Part 1) without Subtitles 00:01:00 Money Signs (Part 2) without Subtitles 00:01:00 Money Signs (Part 2) without Subtitles 00:01:00 How Much is it? 00:01:00 How much is it 00:01:00 Foods and Drinks Foods and Drinks with Subtitles 00:09:00 Foods and Drinks without Subtitles 00:09:00 Food and Drinks 00:12:00 Hurley's Food and Drink Menu with Images 00:09:00 Hurley's Food and Drink Menu without Images 00:09:00 HANDOUT Top Eat Menu 00:02:00 Hurley' s Food and Drink Menu 00:10:00 STUDY At the Restaurant 00:10:00 STUDY HANDOUT ANSWERS At the Restaurant 00:02:00 Exam STUDY: BSL LEVEL 1 EXAM 00:04:00 STUDY ANSWERS : BSL LEVEL 1 EXAM 00:01:00 British Sign Language Level 2 Asking Questions about the Jobs without Subtitles 00:02:00 Asking Questions about the Jobs without Subtitles 00:02:00 STUDY What is My Job 00:05:00 Job Vocabulary with Subtitles 00:06:00 Job Vocabulary without Subtitles 00:06:00 Jobs Signs with Images 00:02:00 Jobs Signs without Images 00:02:00 Type of Buildings with Subtitles 00:03:00 Type of Buildings without Subtitles 00:03:00 At Home (Room) with subtitles 00:03:00 At Home (Room) without Subtitles 00:01:00 At Home - What is in each room with subtitles 00:05:00 At Home - What is in each room without Subtitles 00:05:00 How to describe each room with Subtitles 00:12:00 Day to Day Routine with Images 00:02:00 Day to Day Routine without images 00:02:00 Emotional Signs with Subtitles 00:02:00 Emotional Signs without Subtitles 00:02:00 Emotional Signs 00:02:00 Emotional Stories Study 00:05:00 Countries and Flags 00:04:00 L2 Itemising_Listings inc 4 Stories 00:09:00 L2 Multi-Channels Sign with Subtitles 00:03:00 L2 Multi-Channels Sign without Subtitles 00:03:00 Transport HOMEWORK 00:03:00 Resources Resources - British Sign Language Level 2 00:00:00 Assignment Assignment - British Sign Language Interpreter Course 06:40:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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Develop and implement web applications integrating PHP with MySQL. Implement client-side and server-side validations using JavaScript and PHP. Why choose this Start Your Career as Web Developer - Complete Training? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Start Your Career as Web Developer - Complete Training 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. Who is this Start Your Career as Web Developer - Complete Training for? Aspiring web developers seeking a structured pathway into the field. 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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 Introduction Introduction 00:03:00 How to Get Course requirements 00:02:00 Getting Started on Windows, Linux or Mac 00:02:00 How to ask Great Questions 00:01:00 FAQ's 00:01:00 HTML Introduction HTML 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Structure of a Full HTML Webpage 00:07:00 First Hello World! Webpage 00:09:00 HTML Basic Heading tags 00:09:00 Paragraph 00:08:00 Formatting Text 00:12:00 List Items Unordered 00:05:00 List Items Ordered 00:04:00 Classes 00:09:00 IDs 00:06:00 Comments 00:04:00 HTML Intermediate Images 00:12:00 Forms 00:05:00 Marquee 00:06:00 Text area 00:06:00 Tables 00:06:00 Links 00:07:00 Navbar - Menu 00:04:00 HTML Entities 00:05:00 Div tag 00:06:00 Google Maps 00:07:00 HTML Advanced HTML Audio 00:07:00 HTML Video 00:05:00 Canvas 00:06:00 Iframes 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 Registration Form 00:04:00 Contact Us Form 00:10:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:02:00 JavaScript Introduction What is JavaScript 00:09:00 Hello World Program 00:14:00 Getting Output 00:11:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 JavaScript Basics Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Strings 00:07:00 String Formatting 00:05:00 JavaScript Operators Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 JavaScript Conditional Statements If-else statement 00:05:00 If-else-if statemen 00:04:00 JavaScript Control Flow Statements While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 JavaScript Functions Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 JavaScript Error Handling Try-catch 00:05:00 Try-catch-finally 00:17:00 JavaScript Client-Side Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 PHP Introduction What is PHP 00:08:00 Installing XAMPP for PHP, MySQL and Apache 00:12:00 Installing Code Editor(Visual Studio Code) 00:07:00 Creating PHP Project on XAMPP 00:03:00 Hello World Program 00:06:00 PHP Basic Variables 00:16:00 Echo and Print 00:08:00 Data Types 00:11:00 Numbers 00:06:00 Boolean 00:04:00 Arrays 00:06:00 Multi-Dimensional Array 00:07:00 Sorting Arrays 00:04:00 Constants 00:05:00 PHP Strings Strings 00:04:00 String Formatting 00:05:00 String Methods 00:08:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Operators Arithmetic operators 00:03:00 Assignment operators 00:02:00 Comparison operators 00:05:00 Increment - decrement operators 00:03:00 Logical operators 00:06:00 Ternary operator 00:03:00 PHP Decision-making System If statement 00:05:00 If-else statement 00:02:00 If-else-if-else statement 00:03:00 Switch-case statement 00:05:00 PHP Control flow statements Flow Chart 00:06:00 While loop 00:09:00 Do-while loop 00:04:00 For loop 00:15:00 Foreach loop 00:04:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Functions Creating a Function 00:08:00 Function with Arguments 00:08:00 Default Argument 00:03:00 Function return values 00:06:00 Call-by-value 00:02:00 Call-by-reference 00:03:00 PHP Super globals $_POST Method 00:06:00 $_GET Method 00:02:00 PHP Advanced Form Handling 00:08:00 Date and Time 00:08:00 Include 00:06:00 Require 00:02:00 Sessions 00:08:00 File Reading 00:02:00 File Upload 00:06:00 PHP Object-oriented programming[OOPs] What is OOP 00:03:00 Class and Objects 00:11:00 Constructor 00:04:00 Destructor 00:03:00 Access Modifiers 00:10:00 Inheritance 00:12:00 Method overriding 00:06:00 Abstract Class 00:03:00 Interface 00:08:00 PHP - MySQL Application [CRUD] MySQL Basic PhpMyAdmin 00:04:00 Creating Database and Table 00:07:00 Database Connection 00:05:00 PHP Form Create records 00:16:00 PHP Form Reading records 00:11:00 PHP Form Update Data 00:15:00 PHP Form Delete record 00:04:00 PHP Real-world code forms Registration Form 00:04:00 MD5 Algorithm for Encrypting 00:03:00 Sha Algorithm 00:02:00 Login Form 00:12:00 PHP Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Form Server-side all Data Validation 00:06:00 Form Server-side Validation 00:06:00 PHP Error handling Try-throw-catch 00:06:00 Try-throw-catch-finally 00:02:00

Dive into the realm of effective management with our course, 'Essentials of Becoming a Manager and Managing Teams'. Navigate the challenges of stepping into a managerial role in 'New Manager Mastery'. Discover the art of selecting the perfect candidate for your team in 'A Masterclass in Hiring For Your Teams' and foster an environment that promotes continuous growth with 'Creating a Culture of Learning in Your Organisation'. Equip yourself with top-tier interview techniques, manage stress, lead with conviction, conduct impactful meetings, and delve into the intricacies of advanced team management. Learning Outcomes Understand the transition intricacies and best practices of becoming a new manager. Master the strategies to effectively hire and onboard team members. Establish and nurture a growth-oriented learning culture within the organisation. Acquire techniques to proficiently manage stress, ensuring personal and team well-being. Lead meetings effectively and gain insights into advanced aspects of team leadership. Why buy this Essentials of Becoming a Manager and Managing Teams course? 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 Essentials of Becoming a Manager and Managing Teams 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 Essentials of Becoming a Manager and Managing Teams course for? Aspiring managers looking to transition into leadership roles seamlessly. Team leaders seeking to refine their hiring and team-building strategies. Organisational heads aiming to instil a robust learning culture. Professionals wanting to enhance their interview conduction skills. Individuals eager to develop leadership attributes and manage workplace stress. Prerequisites This Essentials of Becoming a Manager and Managing Teams does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Essentials of Becoming a Manager and Managing Teams 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 Manager: £30,000 - £45,000 Team Leader: £25,000 - £35,000 HR Specialist: £28,000 - £40,000 Training and Development Officer: £27,000 - £37,000 Stress Management Consultant: £35,000 - £50,000 Meetings Coordinator: £22,000 - £30,000 Course Curriculum Section 01: New Manager Mastery What to Expect & About Me 00:02:00 Well Done! 00:02:00 It's a Different Job 00:03:00 You're Scared? Good! 00:02:00 The Manager Mindset 00:03:00 Set Expectations 00:04:00 Get Learning Leadership! 00:03:00 What is Culture? 00:02:00 Culture of Fairness 00:08:00 People Are Crazy 00:02:00 Mastering One To One Meetings 00:05:00 Manager to Coach 00:07:00 Me? A Psychologist? 00:02:00 Emotional Intelligence 00:05:00 Mastering Performance Evaluations 00:07:00 Welcoming New Starters 00:07:00 How to Hire a Diverse Workforce 00:06:00 Get the Basics Right Every Time 00:02:00 Conclusion 00:02:00 Section 02: A Masterclass In Hiring For Your Teams Introduction 00:02:00 The Importance of the Interview Process 00:03:00 What's Wrong With The Interview Process 00:07:00 Human Vs. Algorithm 1 00:02:00 Unconscious Interviewer Biases 00:03:00 Be Data Driven 00:03:00 Let's See You In Action 00:02:00 Keep it Relevant 00:02:00 Seriously Avoid These Topics 00:03:00 Benefits of a Diverse Workforce 00:03:00 How to Hire a Diverse Workforce 00:06:00 Hunger and Desire Over Skills 00:03:00 Culture Addition, Not Culture Fit 00:03:00 Compliment, Backup or Add To The Team 00:05:00 Hiring The Right Rank 00:04:00 What Are Your Location Restrictions 00:01:00 The Risk Of Delivering Less 00:02:00 The Risk Of Burnout 00:02:00 The Risk Of Losing The Headcount 00:02:00 Confirm The Job Is What They Think It Is 00:02:00 Sell Yourself, The Team & The Company 00:03:00 Don't Be A Jerk 00:02:00 It's Not About Making You Look Good 00:02:00 Managing Recruitment Agencies 00:04:00 Communications With The Candidate 00:03:00 Be Ready 00:03:00 Assign A Buddy 00:02:00 You Got It Wrong! 00:02:00 Conclusion 00:03:00 Section 03: Creating a Culture Of Learning In Your Organization What To Expect From The Course 00:02:00 Why Even Bother? 00:07:00 What Learning Used To Be Like 00:02:00 Individual Learner 00:01:00 Everyone Says They Are A Self-Learner 00:10:00 Online Communities 00:02:00 Embedding Learning Into Daily Life 00:03:00 Teach It To Learn It 00:02:00 Learning New Vs Becoming Expert 00:01:00 Listen Faster 00:01:00 Tom's Approach 00:02:00 The Paid Training Course Is History 00:03:00 Develop The Right Mental Habits 00:06:00 Make It Easier On Yourself 00:02:00 Manager Responsibilities 00:01:00 Are You Really A Centre Of Excellence? 00:02:00 Learning As Part Of Performance Evaluation 00:02:00 Don't Worry If People Leave 00:01:00 The Benefits Of A Skilled User Base 00:02:00 Push It, Push It, Push It 00:01:00 The Golden Hour 00:09:00 Internal Mobility 00:03:00 Team Secondment 00:02:00 Make People Good Enough To Quit 00:03:00 Lunch & Learns 00:02:00 Personalised Learning Plans 00:02:00 Use It Or Lose It 00:02:00 Certifiably Great 00:02:00 Get A Learning Buddy 00:02:00 Senior Leaders Responsibilities 00:01:00 Walk It From The Top 00:02:00 Learning Wherever, Whenever 00:02:00 Show Us The Data 00:02:00 Create Learning Champions 00:02:00 Gamification 00:02:00 Sell, Sell, Sell 00:03:00 Don't Block The Useful Sites 00:03:00 Create A Varied Library Of Resources 00:02:00 Encourage Conferences And Seminars 00:04:00 The Feedback Loop 00:02:00 Learning Is Expensive 00:03:00 Learning Takes Time 00:02:00 Concluding Remarks 00:04:00 Section 04: Job Interview Practicals: Complete Interview Skills Training Interview Masterclass - Maximize Your Chances of Success 00:03:00 Get Yourself Game Ready! 00:08:00 Final Prep Tips! 1-2 Days Before Interview 00:03:00 It's Interview Day! How to ACE the interview! 00:07:00 Positive Personality Traits Interviewers Are Desperate For 00:07:00 How to Engage & Impress in Conversation 00:05:00 The Art of Asking Questions 00:08:00 How to Answer Questions Using Skill & Psychological Tricks 00:10:00 After Interview - Still More You Can Do 00:05:00 Staying Professional 00:02:00 That Wasn't What You Expected!! 00:03:00 Waiting For The Answer 00:02:00 Let's Review The Tips - So Much To Consider 00:04:00 Section 05: Beating Burnout - Practical & Complete Stress Management Introduction to Overcoming Burnout 00:03:00 The Problem of Burnout in Modern Workplaces 00:06:00 Symptoms of Burnout - Do You Have It? 00:03:00 How Individuals Can Fight Back Against Burnout 00:12:00 How Leaders Can Create A Burnout Free Culture 00:10:00 Let's Review The Advice - What's Important? 00:03:00 Section 06: Practical Leadership: Complete Guide To Great Leadership Characteristics of Great Leaders - Introduction 00:02:00 Honesty, Coaching & The Mission 00:08:00 Empathy, Togetherness & Feedback 00:06:00 Change, Authenticity & Enablement 00:05:00 Perspective, Empowerment & Emotional Intelligence 00:05:00 My Favourite Tips & Bonus! 00:05:00 Section 07: Mastering Meetings - A Complete Practical Guide To Meetings What to Expect 00:04:00 What & Why? 00:03:00 The Cost of Meetings 00:02:00 Red Amber & Green Meetings 00:06:00 Do You Need A Meeting? 00:04:00 Timing Considerations 00:07:00 Contents of the Invite 00:03:00 Scheduling Etiquette 00:07:00 Considerations for Externals 00:05:00 The Meeting as an Opportunity 00:02:00 Chairing Meetings 00:01:00 Your Agenda 00:08:00 Kicking Off 00:06:00 During The Meeting 00:08:00 After Meeting Minutes 00:06:00 Considerations 00:06:00 Concluding Remarks 00:02:00 Section 08: Advanced People Management - What They Don't Tell You About Team Leading! What To Expect & About Me 00:02:00 Management Vs. Coaching 00:07:00 What Is Culture? 00:02:00 Culture of Fairness 00:08:00 How To Be A Great Listener 00:05:00 Mastering Performance Evaluations 00:07:00 Welcoming New Starters 00:07:00 Stupid Things NOT To Say To Your Team 00:07:00 Your Team Made A Mistake 00:06:00 Mastering Crucial Conversations 00:05:00 When to Fire Someone 00:06:00

The 'Electrical Circuits Laws and Methods' course is designed to provide a comprehensive understanding of electric circuits, laws, and analytical methods. It covers fundamental concepts, basic laws, methods of analysis, circuit theorems, operational amplifiers, and capacitors and inductors. Students will learn essential principles to analyze and design electrical circuits effectively. Learning Outcomes: Understand the basic concepts of electric circuits, including electric charge, current, voltage, power, and energy. Apply Ohm's Law and other basic laws to analyze resistive circuits and determine currents and voltages. Use nodal and mesh analysis methods to analyze and solve complex electrical circuits with various sources. Apply circuit theorems such as the Superposition Theorem, Thevenin's Theorem, and Norton's Theorem to simplify circuit analysis. Comprehend the properties and applications of operational amplifiers in various amplifier configurations. Analyze capacitors and inductors in DC circuits, calculate their stored energy, and understand their equivalent capacitance and inductance in series and parallel configurations. Why buy this Electrical Circuits Laws and Methods? 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. Certification After studying the course materials of the Electrical Circuits Laws and Methods 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? The Electrical Circuits Laws and Methods course is designed for undergraduate and graduate electrical engineering students as a foundational study of circuit theory. It is suitable for electronics enthusiasts eager to grasp the functioning and design of electrical circuits for various applications. Engineering technicians and technologists working in fields like telecommunications and manufacturing can benefit from this course to better understand and troubleshoot electrical circuits in practical settings. Electrical technicians and electricians can enhance their problem-solving abilities and theoretical knowledge of electrical circuits by taking this course. Hobbyists and DIY enthusiasts interested in electronics projects will find value in learning circuit design and troubleshooting through this course. Professionals in engineering and related fields can use this course for continuing education to refresh their knowledge and stay up-to-date with advancements in electrical circuit theory and methods. Prerequisites This Electrical Circuits Laws and Methods does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Circuits Laws and Methods 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 Electrical Engineer: £28,000 - £70,000 per year Electronics Engineer: £30,000 - £75,000 per year Electrician: £24,000 - £45,000 per year Power Systems Engineer: £32,000 - £80,000 per year Telecommunications Engineer: £28,000 - £70,000 per year Automation and Control Systems Engineer: £35,000 - £80,000 per year Course Curriculum Unit 1- Basic Concepts Module 1- What Is an Electric Circuit 00:02:00 Module 2-System of Units 00:07:00 Module 3- What Is an Electric Charge 00:05:00 Module 4- What Is an Electric Current 00:08:00 Module 5-Example 1 00:01:00 Module 6- Example 2 00:02:00 Module 7- Example 3 00:02:00 Module 8- What Is Voltage 00:07:00 Module 9- What Is Power 00:06:00 Module 10- What Is Energy 00:04:00 Module 11- Example 4 00:03:00 Module 12-Example 5 00:03:00 Module 13- Dependent and Independent Sources 00:05:00 Module 14- Example 6 Part 1 00:04:00 Module 15- Example 6 Part 2 00:01:00 Module 16- Application 1 Cathode Ray Tube 00:04:00 Module 17-Example 10 00:03:00 Module 18- Application 2 Electricity Bills 00:02:00 Module 19- Example 8 00:03:00 Unit 2- Basic Laws Module 1- Introduction to Basic Laws 00:01:00 Module 2- Definition of Resistance 00:06:00 Module 3- Ohm's Law 00:02:00 Module 4- Types of Resistances 00:06:00 Module 5- Open and Short Circuit 00:05:00 Module 6- Definition of Conductance 00:04:00 Module 7-Example 1 00:01:00 Module 8- Example 2 00:03:00 Module 9- Example 3 00:03:00 Module 10- Branch, Node and Loops 00:07:00 Module 11- Series and Parallel Connection 00:04:00 Module 12- KCL 00:04:00 Module 13- KVL 00:03:00 Module 14- Example 4 00:05:00 Module 15- Example 5 00:02:00 Module 16- Example 6 00:06:00 Module 17- Series Resistors and Voltage Division 00:07:00 Module 18-Parallel Resistors and Current Division 00:12:00 Module 19- Analogy between Resistance and Conductance 00:07:00 Module 20-Example 7 00:03:00 Module 21-Example 8 00:04:00 Module 22- Introduction to Delta-Wye Connection 00:06:00 Module 23-Delta to Wye Transformation 00:05:00 Module 24- Wye to Delta Transformation 00:07:00 Module 25-Example 9 00:03:00 Module 26- Example 10 00:15:00 Module 27- Application Lighting Bulbs 00:03:00 Module 28-Example 11 00:05:00 Unit 3- Methods of Analysis Module 1- Introduction to Methods of Analysis 00:02:00 Module 2- Nodal Analysis with No Voltage Source 00:15:00 Module 3-Example 1 00:04:00 Module 4-Cramer's Method 00:04:00 Module 5-Nodal Analysis with Voltage Source 00:07:00 Module 6- Example 2 00:05:00 Module 7- Example 3 00:13:00 Module 8-Mesh Analysis with No Current Source 00:10:00 Module 9-Example 4 00:04:00 Module 10- Example 5 00:06:00 Module 11-Mesh Analysis with Current Source 00:07:00 Module 12-Example 6 00:08:00 Module 13-Nodal Vs Mesh Analysis 00:04:00 Module 14-Application DC Transistor 00:04:00 Module 15-Example 7 00:04:00 Unit 4- Circuit Theorems Module 1-Introduction to Circuit theorems 00:02:00 Module 2-Linearity of Circuit 00:07:00 Module 3-Example 1 00:04:00 Module 4-Superposition Theorem 00:07:00 Module 5- Example 2 00:04:00 Module 6-Example 3 00:06:00 Module 7-Source Transformation 00:08:00 Module 8-Example 4 00:05:00 Module 9-Example 5 00:03:00 Module 10-Thevenin Theorem 00:10:00 Module 11-Example 6 00:06:00 Module 12-Example 7 00:05:00 Module 13- Norton's Theorem 00:05:00 Module 14-Example 8 00:03:00 Module 15-Example 9 00:05:00 Module 16-Maximum Power Transfer 00:05:00 Module 17-Example 10 00:03:00 Module 18-Resistance Measurement 00:05:00 Module 19-Example 11 00:01:00 Module 20-Example 12 00:04:00 Module 21-Summary 00:05:00 Unit 5- Operational Amplifiers Module 1-Introduction to Operational Amplifiers 00:03:00 Module 2-Construction of Operational Amplifiers 00:07:00 Module 3-Equivalent Circuit of non Ideal Op Amp 00:10:00 Module 4-Vo Vs Vd Relation Curve 00:03:00 Module 5-Example 1 00:09:00 Module 6-Ideal Op Amp 00:07:00 Module 7- Example 2 00:04:00 Module 8-Inverting Amplifier 00:05:00 Module 9-Example 3 00:05:00 Module 10-Example 4 00:02:00 Module 11-Non Inverting Amplifier 00:08:00 Module 12-Example 5 00:03:00 Module 13-Summing Amplifier 00:05:00 Module 14-Example 6 00:02:00 Module 15-Difference amplifier 00:06:00 Module 16-Example 7 00:08:00 Module 17-Cascaded Op Amp Circuits 00:06:00 Module 18-Example 8 00:04:00 Module 19-Application Digital to Analog Converter 00:06:00 Module 20-Example 9 00:04:00 Module 21-Instrumentation Amplifiers 00:05:00 Module 22-Example 10 00:01:00 Module 23-Summary 00:04:00 Unit 6- Capacitors and Inductors Module 1-Introduction to Capacitors and Inductors 00:02:00 Module 2-Capacitor 00:06:00 Module 3-Capacitance 00:02:00 Module 4-Voltage-Current Relation in Capacitor 00:03:00 Module 5-Energy Stored in Capacitor 00:06:00 Module 6-DC Voltage and Practical Capacitor 00:02:00 Module 7-Example 1 00:01:00 Module 8-Example 2 00:01:00 Module 9-Example 3 00:05:00 Module 10-Equivalent Capacitance of Parallel Capacitors 00:02:00 Module 11-Equivalent Capacitance of Series Capacitors 00:03:00 Module 12-Example 4 00:02:00 Module 13-Definition of Inductors 00:06:00 Module 14-Definition of Inductance 00:03:00 Module 15-Voltage-Current Relation in Inductor 00:03:00 Module 16-Power and Energy Stored in Inductor 00:02:00 Module 17-DC Source and Inductor 00:04:00 Module 18-Example 5 00:02:00 Module 19-Series Inductors 00:03:00 Module 20-Parallel Inductors 00:04:00 Module 21-Example 6 00:01:00 Module 22-Small Summary to 3 Basic Elements 00:02:00 Module 23-Example 7 00:05:00 Module 24-Application Integrator 00:05:00 Module 25-Example 8 00:03:00 Module 26-Application Differentiator 00:02:00 Module 27-Example 9 00:06:00 Module 28-Summary 00:05:00 Assignment Assignment - Electrical Circuits Laws and Methods 00:00:00