423 Courses in Edinburgh delivered Online

Develop Big Data Pipelines with R, Sparklyr & Power BI Course Overview: This course offers a comprehensive exploration of building and managing big data pipelines using R, Sparklyr, and Power BI. Learners will gain valuable insight into the entire process, from setting up and installing the necessary tools to creating effective ETL pipelines, implementing machine learning techniques, and visualising data with Power BI. The course is designed to provide a strong foundation in data engineering, enabling learners to handle large datasets, optimise data workflows, and communicate insights clearly using visual tools. By the end of this course, learners will have the expertise to work with big data, manage ETL pipelines, and use Sparklyr and Power BI to drive data-driven decisions in various professional settings. Course Description: This course delves into the core concepts and techniques for managing big data using R, Sparklyr, and Power BI. It covers a range of topics including the setup and installation of necessary tools, building ETL pipelines with Sparklyr, applying machine learning models to big data, and using Power BI for creating powerful visualisations. Learners will explore how to extract, transform, and load large datasets, and will develop a strong understanding of big data architecture. They will also gain proficiency in visualising complex data and presenting findings effectively. The course is structured to enhance learners' problem-solving abilities and their competence in big data environments, equipping them with the skills needed to manage and interpret vast amounts of information. Develop Big Data Pipelines with R, Sparklyr & Power BI Curriculum: Module 01: Introduction Module 02: Setup and Installations Module 03: Building the Big Data ETL Pipeline with Sparklyr Module 04: Big Data Machine Learning with Sparklyr Module 05: Data Visualisation with Power BI (See full curriculum) Who is this course for? Individuals seeking to understand big data pipelines. Professionals aiming to expand their data engineering skills. Beginners with an interest in data analytics and big data tools. Anyone looking to enhance their ability to analyse and visualise data. Career Path: Data Engineer Data Analyst Data Scientist Business Intelligence Analyst Machine Learning Engineer Big Data Consultant

Microsoft Power BI Training Course Overview: The Microsoft Power BI Training course is designed to equip learners with the knowledge and skills to use Power BI effectively for data analysis and reporting. This course covers the core features of Power BI, from data import and transformation to the creation of reports and visualizations. Learners will explore how to analyse data, generate insights, and create dynamic dashboards for reporting purposes. Whether you are looking to improve your analytical skills or advance your career, this course provides the foundation needed to become proficient in using Power BI for various data analysis tasks. By the end of the course, learners will be able to handle large data sets, create compelling visual reports, and make data-driven decisions. Course Description: This comprehensive Microsoft Power BI course delves into the essential components of the Power BI platform. Learners will start by exploring how to import and work with data, before progressing to designing reports and visualizations. The course includes an in-depth look at the various types of visualizations available, enabling learners to display data in an intuitive, easy-to-understand format. Additionally, learners will explore the Power BI Web App to access and share their reports online. As they move through the course, participants will gain valuable skills in data transformation, reporting, and visualization, all of which are applicable to industries requiring data-driven decision-making. By completing this course, learners will have a solid understanding of Power BI and the ability to create impactful reports and dashboards for business or personal use. Microsoft Power BI Training Curriculum: Module 01: Getting Started Module 02: Working with Data Module 03: Working with Reports and Visualizations Module 04: A Closer Look at Visualizations Module 05: Introduction to the Power BI Web App (See full curriculum) Who is this course for? Individuals seeking to understand Power BI and data analysis. Professionals aiming to enhance their data reporting skills. Beginners with an interest in business intelligence and data analytics. Anyone looking to improve their ability to visualise data for better decision-making. Career Path: Data Analyst Business Intelligence Analyst Reporting Specialist Data Visualisation Specialist Business Analyst

Highlights of the Course Course Type: Online Learning Duration: 11 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about digital marketing Understand the core competencies and principles of digital marketing Explore the various areas of digital marketing Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert digital marketer Master In Digital Marketing Course Master the skills you need to propel your career forward in digital marketing. This course will equip you with the essential knowledge and skillset that will make you a confident digital marketer and take your career to the next level. This comprehensive digital marketing course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this digital marketing course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective digital marketing practice and equip you with the essential skills, confidence and competence to assist you in the digital marketing industry. You'll gain a solid understanding of the core competencies required to drive a successful career in digital marketing. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for digital marketer or for people who are aspiring to specialise in digital marketing. Enrol in this digital marketing course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive digital marketing course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this digital marketing can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This digital marketing course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This digital marketing course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This digital marketing course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Welcome 00:01:00 General Tips & Tricks Series How to register your company in google maps? 00:03:00 How to see Email Sender's Company and Logo in Your Gmail? 00:02:00 How to Generate sitemap of a website? 00:02:00 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 date of website ? 00:01:00 How to identify duplicate content from the web ? 00:02:00 How to create google alerts ? 00:03:00 How to find the age of the domain ? 00:02:00 How to check if the website server is down ? 00:01:00 How to create text notes that will 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 already ? 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 ? 00:01:00 How to get compute level answers without searching ? 00:04:00 The easiest way to setup email reminders ? 00:02:00 How to find the original URL that'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 ? 00:01:00 How to check if your email account has been compromised ? 00:01:00 SEO (Search Engine Optimization) 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 ? 00:07:00 How to set international targeting on google search ? 00:01:00 How to remove a URL from google search engine ? 00:02:00 How to identify competitors keywords ? 00:07:00 How to leverage top sites to get on google search results ? 00:04:00 Discover powerful data analytics to measure SEO performance ? 00:05:00 How to do keyword research ? 00:10:00 How to write perfect title tags for search engines ? 00:04:00 How to optimise heading tags, external & 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 YouTube Youtube account setup 00:04:00 Account optimization 00:08:00 How to create & setup Youtube channel banner ? 00:04:00 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 ? 00:05:00 How to optimise comments & reply them in bulk ? 00:02:00 How to grow your channel with competitors Analysis ? 00:06:00 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 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 look and analyse different segment data ? 00:06:00 How to track paid campaigns ? 00:03:00 How to configure goals in google analytics ? 00:05:00 How to link google Adwords account ? 00:02:00 How to manage multiple analytics accounts ? 00:02:00 How to remove spam traffic ? 00:03:00 Email Marketing Email marketing tools set up ( MailChimp & Getresponse) 00:09:00 How to install signup or popup forms on the website ? 00:16:00 How to collect email address without a website ? 00:04:00 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 Linkedln How to increase your connections in no time ? 00:08:00 Secret of LinkedIn InMails ? 00:04:00 Discover the best ways to use LinkedIn groups ? 00:09:00 How to setup a company page on LinkedIn ? 00:03:00 How to increase traffic to your website using LinkedIn blog ? 00:06:00 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 ? 00:09:00 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 00:03:00 Facebook Set your Facebook page 00:04:00 Facebook Icon, cover image & description 00:06:00 How to get your first page likes ? 00:07:00 Discover how to increase your page likes 00:02:00 How to manage multiple Facebook pages ? 00:02:00 Facebook comments 00:04:00 Leveraging Facebook groups 00:04:00 Facebook Autoposting 00:04:00 Run a competition 00:06:00 Facebook Ads 00:04:00 How to get best out of Facebook ads ? 00:15:00 Facebook pixel & Re-marketing 00:03:00 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 00:03:00 Reposting Instagram App 00:04:00 How to get genuine Instagram followers ? 00:05:00 Discover how to grow your business through Instagram stories 00:04:00 How to get your posts reposted on Instagram by influencers ? 00:05:00 Selling your product / services Instagram shopping 00:03:00 Mobile App A quick way to do App store marketing research ? 00:15:00 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 00:13:00 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 App analytics 00:07:00 Techniques to get to the top of App store ranking ? 00:07:00 Assessment Assessment -Master In Digital Marketing 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.

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

Discover Microsoft Fabric's architecture, master Data Engineering with OneLake and Spark, and elevate your skills in data warehousing and real-time processing. Compare SQL and KQL for better insights, and improve storytelling using Power BI. Finally, you will end with practical data science techniques and data management methods.

A comprehensive, simple, visual guide and a super-easy course using SAS with no installation on your computer necessary. This course uses the latest SAS Studio offered through SAS OnDemand and it's completely free. 12+ hours of knowledge-packed lectures, videos, quiz questions, followed by two practical and hands-on guided exercises and projects.

This course offers an immersive experience in data analysis, guiding you from initial setup with Python and Pandas, through series and DataFrame manipulation, to advanced data visualization techniques. Perfect for enhancing your data handling and analysis skills.

Overview of Ecommerce Management Imagine a world where your business never sleeps, reaching customers across the globe 24/7. Welcome to the realm of ecommerce management, where digital shopfronts are the new high streets. The UK's e-commerce market is booming, expected to reach £500 billion by 2024. Our ecommerce management course is your ticket to riding this digital wave. From crafting winning strategies to mastering customer service, from building strong brands to creating captivating content, this ecommerce management course covers it all. Dive into the intricacies of social media marketing, learn to create user experiences that convert browsers into buyers, and harness the power of data analytics to drive your business forward. Whether you're a budding entrepreneur or a seasoned professional looking to pivot, this ecommerce management course equips you with the knowledge to thrive in the digital marketplace. Don't let the e-commerce revolution pass you by – join us and transform your digital business acumen into tangible success. This amazing Ecommerce management course will teach you: Develop a winning e-commerce strategy for online success. Craft compelling content that attracts and engages customers. Leverage social media to build brand awareness and drive sales. Implement effective marketing strategies to reach your target audience. Design a user-friendly online experience that fosters conversions. Analyse e-commerce data to gain insights and optimise performance. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Ecommerce Management course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Ecommerce Management is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Ecommerce Management course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Ecommerce Management Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 1: Introduction to Electronic Commerce Introduction to Electronic Commerce 00:16:00 Module 2: E-Commerce Strategy and Implementation E-Commerce Strategy and Implementation 00:18:00 Module 3: Customer Service Customer Service 00:19:00 Module 4: Products, Brands, and Services Products, Brands, and Services 00:28:00 Module 5: Content Planning and Production Content Planning and Production 00:11:00 Module 6: Use of Social Networks Use of Social Networks 00:15:00 Module 7: Marketing Marketing & Advertising 00:31:00 Module 8 - Creating an Engaging User Experience Creating an Engaging User Experience 00:11:00 Module 9 - Transaction Management Transaction Management 00:18:00 Module 10 - E-Commerce Analytics E-Commerce Analytics 00:11:00 Assignment Assignment - Ecommerce Management 00:00:00

With this 2-in-1 course, you will get access to AWS Technical Essentials and AWS Certified Solutions Architect - Associate certification exam content.