170 Broadcast courses

This course Affiliate Marketing Business Essentials provides a comprehensive guide to setting up and running a successful affiliate marketing business. It covers essential topics such as Facebook organic strategies, identifying and targeting ideal buyers, building a brand, organic audience building, offer creation, and additional bonuses on FB group creation and email marketing. LEARNING OUTCOMES: * Understand the process of setting up a successful affiliate marketing business. * Identify and target the ideal buyers for your affiliate products. * Build a brand and effectively use Facebook as a marketing platform. * Create compelling offers and effectively present them to your audience. * Learn strategies for organic audience building and lead generation on Facebook. * Bonus learning: Create and grow a Facebook group to foster community engagement. * Bonus learning: Utilize email marketing techniques, including broadcasting emails and setting up an autoresponder for better engagement. WHY BUY THIS AFFILIATE MARKETING BUSINESS ESSENTIALS? 1. Unlimited access to the course for forever 2. Digital Certificate, Transcript, student ID all included in the price 3. Absolutely no hidden fees 4. Directly receive CPD accredited qualifications after course completion 5. Receive one to one assistance on every weekday from professionals 6. Immediately receive the PDF certificate after passing 7. Receive the original copies of your certificate and transcript on the next working day 8. Easily learn the skills and knowledge from the comfort of your home CERTIFICATION After studying the course materials of the Affiliate Marketing Business Essentials 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 Affiliate Marketing Business Essentials 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 Affiliate Marketing Business Essentials does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Affiliate Marketing Business Essentials 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 Affiliate Marketing Business Essentials is a great way for you to gain multiple skills from the comfort of your home. COURSE CURRICULUM Section 01 - Setup for success Unit 01: Facebook organic strategy funnel 00:05:00 Unit 02: Niche and product selection 00:03:00 Unit 03: Exclusive Access to affiliate program paying up to 80% commission 00:10:00 Unit 04: Invite to my private FB group 00:01:00 Section 02 - Identifying and targeting dream buyer Module 01: Customer Service Basics 00:15:00 Unit 02: Identify dream buyer 00:04:00 Unit 03: Targeting dream buyer 00:07:00 Section 03 - Building a brand Unit 01: Setting up FB profile 00:05:00 Unit 02: RVL content strategy 00:13:00 Unit 03: Content topics 00:03:00 Unit 04: FB algorithm 00:03:00 Section 03 - Building a brand Unit 01: Lead generation strategy 00:19:00 Unit 02: Sales script 00:18:00 Unit 03: Strategy session 00:27:00 Unit 04: 7 figure marketer phone call 00:56:00 Section 04 - FB organic audience building Unit 01: Lead generation strategy 00:19:00 Unit 02: Sales script 00:18:00 Unit 03: Strategy session 00:27:00 Unit 04: 7 figure marketer phone call 00:56:00 Section 05 - Offer creation Unit 01: Offer creation 00:06:00 Unit 02: Offer presentation 00:11:00 Unit 03: Daily action plan 00:03:00 BONUS1 - FB group creation Unit 01: FB group setup 00:09:00 Unit 02: Group growth 00:09:00 BONUS2 - Email Marketing Unit 01: Broadcasting emails 00:07:00 Unit 02: Email tips and tricks 00:05:00 Unit 03: Email autoresponder 00:01:00 Conclusion Unit 01: Deleting Inactive friends 00:01:00 Unit 02: Recap enrol 00:03:00

The Podcasting course offers a comprehensive journey into the world of podcast creation, from foundational concepts to advanced techniques. Participants will gain a deep understanding of podcasting fundamentals, including planning, recording, editing, and promotion. With practical insights into podcasting tools, voice coaching, and video podcasting, this course empowers individuals to create engaging and professional podcasts. Participants will also learn about effective promotion and the option of outsourcing tasks for a successful podcasting venture. Learning Outcomes: * Establish a strong foundation in podcasting fundamentals and its role in modern media. * Develop effective podcast planning strategies to engage and captivate listeners. * Explore a variety of podcasting tools and software for seamless production. * Learn recording techniques for producing high-quality podcast episodes. * Enhance vocal delivery and presentation skills through power voice coaching. * Gain expertise in editing podcast episodes for polished content. * Navigate the process of publishing and distributing podcasts across platforms. * Extend your podcasting skills to video content creation for wider audience engagement. Why buy this Podcasting?  * 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 Podcasting 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 Podcasting course is ideal for * Aspiring podcasters eager to dive into the world of audio storytelling. * Content creators looking to expand their audience through podcasting. * Marketers and entrepreneurs aiming to leverage podcasts for brand exposure. * Individuals with a passion for broadcasting and sharing their expertise. Prerequisites This Podcasting 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 * Podcaster - Earnings vary based on audience size, sponsorship, and monetization strategies. * Content Creator - Average Salary: £25,000 - £40,000 per year. * Digital Marketer - Average Salary: £28,000 - £45,000 per year. * Media Producer - Average Salary: £30,000 - £50,000 per year. * Communication Specialist - Average Salary: £25,000 - £35,000 per year. COURSE CURRICULUM Module 01: Podcasting Fundamentals Podcasting Fundamentals 00:18:00 Module 02: Planning Podcast Planning Podcast 00:26:00 Module 03: Podcasting Tools Podcasting Tools 00:15:00 Module 04: Recording a Podcast Recording a Podcast 00:15:00 Module 05: Power Voice Coaching Power Voice Coaching 00:18:00 Module 06: Editing Your Podcast Editing Your Podcast 00:25:00 Module 07: Publishing Podcast Publishing Podcast 00:22:00 Module 08: Creating a Video Podcast Creating a Video Podcast 00:16:00 Module 09: Promoting and Marketing Promoting and Marketing 00:14:00 Module 10: Podcast Outsourcing Podcast Outsourcing 00:13:00 Assignment Assignment - Podcasting 00:00:00

Discover the captivating world of 'Twitch Streaming' and unlock the secrets to becoming a successful video game live streamer. From learning the fundamentals of Twitch TV to selecting the right games, setting up your hardware, and cultivating your unique streaming style, this course is your gateway to establishing a thriving presence in the vibrant gaming community. Learning Outcomes: * Grasp the essentials of Twitch TV and its significance in the gaming landscape. * Analyze compelling case studies of successful Twitch streamers for inspiration. * Navigate the process of choosing the right game to stream and understanding viewer preferences. * Master the hardware setup required for high-quality streaming. * Set up and customize your Twitch channel to create an engaging and unique brand. * Develop a strategy for consistency in streaming schedule and content delivery. * Cultivate your on-screen persona and leverage your personality for audience engagement. * Build a loyal following through effective engagement, interaction, and community building. WHY BUY THIS TWITCH STREAMING? * 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 Twitch Streaming 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 Twitch Streaming does not require you to have any prior qualifications or experience. You can just enrol and start learning.  * Aspiring gamers eager to showcase their gaming skills and personality. * Content creators interested in entering the world of video game live streaming. * Existing streamers looking to enhance their streaming setup, branding, and engagement. * Gamers who want to build a community and connect with like-minded individuals. PREREQUISITES This Twitch Streaming 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 * Twitch Partner/Streamer - Earnings vary widely; top streamers can earn millions annually. * Content Creator/Influencer - Potential to earn from sponsorships, partnerships, and donations. * Social Media Manager for Gaming Brands - Median salary of $50,380 per year. * Video Editor for Gaming Content - Median salary of $51,500 per year. * Gaming Community Manager - Median salary of $54,859 per year. COURSE CURRICULUM Introduction To Twitch TV Video Game Live Streaming Thank you for taking the course! What do you get out of it? 00:03:00 Introduction with John Shea. 00:03:00 Overview of Twitch.TV 00:06:00 Why do you want to stream on Twitch? 00:03:00 Partner Program, Subscriptions & Ways To Earn Revenue Streaming 00:03:00 Case studies of success on twich. Noahj456 used YouTube to build a large Twitch audience. 00:06:00 Syndicate has the most Twitch followers and built from YouTube. 00:04:00 Socialblade has hundreds more case studies you can view. 00:03:00 Which game to play? What are people watching? League of Legends is the top game on Twitch. 00:02:00 Looking deep into the browse features will show you a lot about streaming. 00:08:00 Play Anything You Want - But Keep Sight Of What's Trending 00:03:00 The opportunity is to find a game you like where people will watch. 00:04:00 New games on release day provide a great opportunity to get new viewers. 00:03:00 Hardware Setup and Picking a Streaming Platform To stream you need hardware to stream and software to manage it. 00:05:00 Simple getting started streaming solution: direct from the console with Twitch. 00:03:00 Entry level streaming solution: BenQ monitor and Elgato HD capture card. 00:04:00 The microphone is one of the most important pieces of equipment. 00:03:00 Wirecast is what I use to stream on my iMac with a green screen. 00:05:00 Open Broadcaster Software (OBS) 00:03:00 GameShow 00:01:00 Xsplit 00:04:00 Setting Up Your Channel Setting Up Your Channel 00:03:00 Getting High Quality Artwork For Your Channel 00:03:00 Adding a Greenscreen 00:02:00 Consistency & Your Personality Doing a little bit every day is the most effective way to do anything. 00:03:00 Being Entertaining On Your Stream 00:02:00 Playing Games Consistently For an Audience 00:02:00 Giving back to your streamers will ensure they come back. 00:04:00 Building a Following Uploading videos to Facebook works great for me to get people watching me game. 00:03:00 Uploading videos to YouTube works great to get organic traffic over time. 00:03:00 Follow for follow Facebook groups help to get your initial following fast. 00:03:00 Making Friends With Other Streamers 00:02:00 Receiving Donations While You Stream 00:03:00 How I handle haters and negative comments. 00:05:00 Conclusion The Conclusion To The Course 00:01:00 Assignment Assignment - Twitch Streaming 00:00:00

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 Player https://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp4 00:00 00:00 00:00 Use 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? 1. Unlimited access to the course for a lifetime. 2. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. 3. Structured lesson planning in line with industry standards. 4. Immerse yourself in innovative and captivating course materials and activities. 5. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. 6. 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. 7. 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

OVERVIEW This comprehensive course on Affiliate Marketing Business Essentials will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Affiliate Marketing Business Essentials comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.    So enrol in this course today to fast-track your career ladder. HOW WILL I GET MY CERTIFICATE? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. WHO IS THIS COURSE FOR? There is no experience or previous qualifications required for enrolment on this Affiliate Marketing Business Essentials. It is available to all students, of all academic backgrounds. REQUIREMENTS Our Affiliate Marketing Business Essentials is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. CAREER PATH Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- * Open doors of opportunities * Increase your adaptability * Keep you relevant * Boost confidence And much more! COURSE CURRICULUM 8 sections • 25 lectures • 04:04:00 total length •Unit 01: Facebook organic strategy funnel: 00:05:00 •Unit 02: Niche and product selection: 00:03:00 •Unit 03: Exclusive Access to affiliate program paying up to 80% commission: 00:10:00 •Unit 04: Invite to my private FB group: 00:01:00 •Module 01: Customer Service Basics: 00:15:00 •Unit 02: Identify dream buyer: 00:04:00 •Unit 03: Targeting dream buyer: 00:07:00 •Unit 01: Setting up FB profile: 00:05:00 •Unit 02: RVL content strategy: 00:13:00 •Unit 03: Content topics: 00:03:00 •Unit 04: FB algorithm: 00:03:00 •Unit 01: Lead generation strategy: 00:19:00 •Unit 02: Sales script: 00:18:00 •Unit 03: Strategy session: 00:27:00 •Unit 04: 7 figure marketer phone call: 00:56:00 •Unit 01: Offer creation: 00:06:00 •Unit 02: Offer presentation: 00:11:00 •Unit 03: Daily action plan: 00:03:00 •Unit 01: FB group setup: 00:09:00 •Unit 02: Group growth: 00:09:00 •Unit 01: Broadcasting emails: 00:07:00 •Unit 02: Email tips and tricks: 00:05:00 •Unit 03: Email autoresponder: 00:01:00 •Unit 01: Deleting Inactive friends: 00:01:00 •Unit 02: Recap enrol: 00:03:00

OVERVIEW This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. HOW WILL I GET MY CERTIFICATE? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. WHO IS THIS COURSE FOR? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. REQUIREMENTS Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. CAREER PATH Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. COURSE CURRICULUM 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

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

OVERVIEW In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! HOW WILL I GET MY CERTIFICATE? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. WHO IS THIS COURSE FOR? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. REQUIREMENTS The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   CAREER PATH This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as * Data Analyst  * Data Scientist  * Data Manager  * Business Analyst COURSE CURRICULUM 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

Effective communication in the workplace is part and parcel of our daily lives, but not everyone is a natural.  Do you find it tough standing up in front of people? Does the thought of engaging with audiences in any setting fill you with anxiety? Is doing a remote video message to colleagues on Zoom or Teams a tough call? Do you do it regularly but need some professional guidance on whether it’s working? At CoComms we can improve every aspect of your performance and offer a range of tips and techniques to help manage these environments and keep your audience engaged and interested. -------------------------------------------------------------------------------- PUBLIC SPEAKING AND PRESENTATION TRAINING In a professional setting it’s vital to come across as dynamic, trustworthy, credible and real. You want people to trust you and in turn get behind your vision or plan or proposal. If you can achieve this you can improve your confidence, your engagement and your prospects. Our training is designed to hone your presentation skills so whether you are pitching for work, taking colleagues through change or speaking to a new audience, you can do it with a clarity and confidence that makes your messages clear and insightful. The training includes: * Perfecting your slides Working to produce a clean, easy to navigate slide deck that give logic and flow to your presentation. * Developing your storytelling We use our journalistic techniques to show you how to build a story to keep your audience engaged with a well-structured and entertaining presentation. * Calls to Action Make sure it is clear what you want to achieve and what you want from your audience. * Rehearse and Review We film and then playback a range of practical presentation exercises so we can review your performance and work to make any improvements. -------------------------------------------------------------------------------- CONFERENCE AND PANEL TRAINING The audience at a conference may be a captive one, but that doesn’t mean they are always listening and engaging with what you have to say. We can make sure your keynote speech or panel contribution is memorable, appreciated by your audience and beneficial to your business. Our training looks at preparing for and delivering a speech from start to finish and includes: * Defining your big ideas What is it you want to say and what do you want your audience to remember? * Develop your narrative and script How can you get across your message using storytelling. * Choosing the right language How vibrant and energised language can make the difference in your speech. * The tips and tricks to make sure your speech is memorable How vocabulary and delivery techniques ensure your words are heard. * Controlling the message How to deal with unhelpful questions and return to the main aspects of your story. -------------------------------------------------------------------------------- STAKEHOLDER COMMUNICATION TRAINING Engaging effectively with stakeholders with clarity and confidence can make all the difference to your relationships. A successful “town hall” meeting can win over your sceptics, convince those who are unsure and build a common goal between your business and stakeholders. Our stakeholder communication training prepares you for these vital meetings and includes: * Focusing the meeting We look at how to control the meeting so the important business is covered and how to prepare for any questions or comments you may receive. * Keep control of the conversation We teach you conversational techniques to focus on the main points without being too assertive or dismissive. * Rehearse and Review We use video and practical role-play exercises to assess your performance and look for ways to improve. * Breaking down the information We look at how to present facts and figures without overwhelming (or boring!) your audience. Our techniques will help you narrate the message in a clear and comprehensive way. * Making an impact Using our journalistic experience we will work with you to develop your presentation skills to make the biggest impact and demonstrate credibility and authority. -------------------------------------------------------------------------------- VIDEO CALLS FOR BUSINESS The world has changed. Now is the time to ensure your business is changing too. Many in-person meetings, conferences, networking events and clients hosting are, for now, a thing of the past. These face-to-face interactions have been replaced by video calls, webinars and online events. So, how do you develop contacts, maintain relationships and manage your team in this new virtual world? How do you look and sound confident, be heard, and build trust  and credibility through a computer screen? At CoComms, we are online communications experts and our years of experience in broadcasting mean we understand how to engage a virtual audience. * Interactive and practical training We work with you through a variety of scenarios to analyse your performance on video calls. * Feedback on your performance We offer supportive, positive feedback and share our tried and tested techniques so you can improve. * Make Video Calls work for you Through our training you will become more confident, more productive and more dynamic on video calls. -------------------------------------------------------------------------------- CONTACT US If you have a query regarding any of our services or would like to book a consultation for free initial advice and guidance please get in touch

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Business Leaders, including managers/supervisors in the following roles: Developer Architect Video Operator Overview In this course, you will learn to: Articulate the essential terms and concepts fundamental to video compression and distribution Describe the four fundamental stages of video streaming workflows: ingest, process, store and deliver Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases Describe some of the key variables that influence workflow decisions Recognize how other AWS services for compliance, storage, and compute, interact with AWS Media Services in video streaming workflows and the functions they perform Describe strategies to test or prototype workflows to mitigate risk and cost impacts and optimize video streaming workflows Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content Recognize the automation and data analytics available for Media Services when used with AWS AI and explore media-specific use cases for these services Identify the next steps in exploring migration to the cloud for one or more Media Services This course covers the media and cloud fundamentals that will empower you to develop a cloud migration strategy for media workflows in support of business goals. The course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, artificial intelligence, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy. MODULE 1: IMPORTANT VIDEO CONCEPTS * Video Metrics * Video Compression * Video Distribution * Major Protocols Used in Video Streaming MODULE 2: ANATOMY OF STREAMING WORKFLOWS * Ingest Process Store Deliver MODULE 3: USING AWS SERVICES IN MEDIA WORKFLOWS VIDEO-ON-DEMAND (VOD) * Introduction to AWS Media Services * Security * Variables Impacting Workflow Design * VOD Simple Use Cases * VOD Advanced Use Cases * Lab 1: Build and run a simple video streaming workflow for VOD content MODULE 4: USING AWS SERVICES IN MEDIA WORKFLOWS LIVE STREAMING * Challenges of Live Streaming * Live Streaming Simple Use Cases * Live Streaming Advanced Use Cases * Lab 2: Build and run a simple video streaming workflow for live content MODULE 5: OPTIMIZING WORKFLOWS * Cost Considerations Mitigating Risk Monitoring and Automation Exploring Migration Options ADDITIONAL COURSE DETAILS: Nexus Humans AWS Media Essentials for IT Business Decision Makers training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AWS Media Essentials for IT Business Decision Makers course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.