1727 Analytics courses delivered Online

Transform Your Career with Our IT: Data Analysis, Data Science & Data Protection Program - an all-in-one Program Designed for Mastery! Do you know the demand for IT professionals with expertise in data science is skyrocketing? This Ultimate IT: Data Analysis, Data Science & Data Protection Program is your gateway to a thriving career in this dynamic industry. This program is meticulously designed to equip you with the knowledge and skills demanded by hiring managers across various sectors. By enrolling in this IT: Data Analysis, Data Science & Data Protection program, you'll embark on a journey that opens doors to exciting opportunities and empowers you to shape your future in the IT industry. Our IT: Data Analysis, Data Science & Data Protection program will give you a comprehensive understanding of data analysis, from data collection and preparation to data visualisation and communication. You will be equipped with the necessary skills and guidance to uncover insights from data, solve real-world problems, and make informed decisions. Also, you will discover the ethical and legal implications of data handling, how to protect sensitive information & develop a career in this sector. Moreover, we're your dedicated partners on this exciting journey. Our goal isn't just to teach you; it's to support you 24/7 so you can get closer to your dream job. We're so confident with our program that we offer a 100% money-back guarantee, ensuring your complete satisfaction. Learning Outcomes By completing this IT: Data Analysis, Data Science & Data Protection program, you will gain expertise in the following: Data analysis techniques and methodologies. Python programming for data analysis. Business intelligence and data mining. Advanced Excel techniques, including VBA and Power Query. SQL programming and big data technologies. Data Science & Data Protection, Machine Learning with Python and R. Data visualisation with tools like Tableau and Power BI. Statistics and probability for data science. Effective career development and job-seeking skills. Design an engaging resume and excel in the job search. Succeed in interviews, including video interviews. Build a strong LinkedIn profile to connect with professionals and enhance your online visibility in IT: Data Analysis- Data Science & Data Protection field. Courses Included in the Program You get 25 in-demand courses once you enrol in our IT: Data Analysis, Data Science & Data Protection program. => Course 01: Introduction to Data Analysis => Course 02: Data Analytics => Course 03: Python for Data Analysis => Course 04: Basic Google Data Studio => Course 05: Business Intelligence and Data Mining Masterclass => Course 06: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query => Course 07: SQL Programming Masterclass => Course 08: SQL NoSQL Big Data and Hadoop => Course 09: Data Science & Machine Learning with Python => Course 10: Machine Learning with Python => Course 11: Data Science & Machine Learning with R => Course 12: Data Analytics with Tableau => Course 13: Develop Big Data Pipelines with R & Sparklyr & Tableau => Course 14: Complete Introduction to Business Data Analysis Level 3 => Course 15: Data Analysis in Microsoft Excel Complete Training => Course 16: Excel Data Analysis for Beginner => Course 17: GDPR Data Protection Level 5 => Course 18: Master JavaScript with Data Visualization => Course 19: Data Visualization and Reporting with Power BI => Course 20: Statistics & Probability for Data Science & Machine Learning => Course 21: Career Development Plan Fundamentals => Course 22: CV Writing and Job Searching => Course 23: Interview Skills: Ace the Interview => Course 24: Video Job Interview for Job Seekers => Course 25: How to Create a Professional LinkedIn Profile Enrol in our highly regarded IT: Data Analysis, Data Science & Data Protection program, featuring a job-relevant curriculum that ensures your skills align with employer expectations across various sectors. Don't miss this opportunity - your success story starts now! Our IT: Data Analysis, Data Science & Data Protection Program is a comprehensive and industry-relevant journey through data analysis, data science, and IT analytics. With a focus on providing theoretical knowledge and academic depth, this program is your gateway to a promising career in IT: Data Analysis, Data Science & Data Protection sector. Why Choose Us? We take great pride in offering you a great learning experience that stands out. When you consider enrolling in our IT: Data Analysis, Data Science & Data Protection program, you're making a decision that will positively impact your career and knowledge in various aspects related to IT: Data Analysis, Data Science & Data Protection. Here's why choosing us is a smart choice: Updated Materials: We're committed to providing the most up-to-date learning materials. Our dedicated team continuously reviews and updates our content, ensuring you're always learning from the latest sources. When you choose us, you select the most current and relevant information, giving you the edge in your IT career. Flexible Timing: We understand that life can get busy, and you may have existing commitments that can make pursuing further education challenging. That's why we offer flexibility in your study schedule. With our courses, you can learn at your own pace, on your terms. You're in control and can adjust your learning to fit your life. No Hidden Cost: When choosing our program, you won't incur additional expenses. The certification and course materials are all-inclusive within the program's price. You can focus on your studies without worrying about hidden fees. Money-Back Guarantee: Your satisfaction is our top priority. We're so confident in the quality of our courses that we back them up with a 14-day money-back guarantee. We'll refund your investment if you're unsatisfied with your learning experience. Lifetime Access: When you choose to learn with us, you gain access to a course and a lifetime of knowledge. We offer lifetime access to our course materials, allowing you to revisit and refresh your knowledge whenever you need. 24/7 Support: Learning doesn't just happen during traditional working hours; neither should support. Our commitment to your success extends beyond the classroom. We provide 24/7 support, so you can contact us with your questions and concerns anytime. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT: Data Analysis, Data Science & Data Protection program is suitable for: Aspiring IT: Data Analysis, Data Science & Data Protection professionals. Students and recent graduates looking to enter the field. Career changers interested in data analytics. Security professionals seeking to upskill in data security. Anyone interested in learning about IT: Data Analysis, Data Science & Data Protection. Requirements No prior experience is required in our IT: Data Analysis, Data Science & Data Protection program. Career path Upon completing the program, you'll get edges in various IT: Data Analysis, data science & data protection-related jobs including: Data Analyst: £25,000 - £45,000 Business Intelligence Analyst: £30,000 - £50,000 Data Scientist: £35,000 - £60,000 Machine Learning Engineer: £40,000 - £70,000 SQL Developer: £30,000 - £55,000 Tableau Developer: £35,000 - £60,000 Power BI Developer: £35,000 - £60,000 Certificates CPD Accredited (e-Certificate) Digital certificate - Included CPD Accredited (Hard Copy Certificate) Hard copy certificate - Included e-Transcript Digital certificate - Included Hard Copy Transcript Hard copy certificate - Included Student ID Card Digital certificate - Included

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.

This Professional Certificate Course in Data Collection and Analysis offers a holistic understanding of best practices, covering digital data organization, analytics tool utilization, and effective data visualization. Participants will master strategies for collecting diverse digital channel data and gain skills in analyzing and interpreting insights for informed decision-making. After the successful completion of the course, you will be able to learn about the following: Best practices for collecting and organizing digital data How to use digital analytics tools to analyze data and gain insights Data visualization techniques and tools for presenting data effectively Strategies for collecting data from different digital channels, including social media, email, and mobile apps Best practices for analyzing and interpreting data to drive actionable insights This Professional Certificate Course in Data Collection and Analysis offers a comprehensive understanding of best practices in collecting and organizing digital data. Participants will learn to utilize digital analytics tools, master data visualization techniques, and employ strategies for collecting data from diverse digital channels, including social media and mobile apps. The course emphasizes interpreting data to derive actionable insights, empowering learners with practical skills for informed decision-making. This Professional Certificate Course in Data Collection and Analysis provides a comprehensive understanding of best practices in collecting, organizing, and analyzing digital data. Participants will learn to utilize digital analytics tools, master data visualization techniques, and develop strategies for collecting data from various digital channels, including social media and mobile apps. The course emphasizes interpreting data to derive actionable insights, empowering individuals with practical skills for informed decision-making. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Data Collection and Analysis Self-paced pre-recorded learning content on this topic. Data Collection And Analysis Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience, Data Analysts and Scientists Marketing Professionals Business Intelligence Specialists Digital Marketing Managers Researchers and Academics Information Technology Professionals Decision-makers and Strategists Social Media Managers Mobile App Developers Email Marketing Specialists Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

An intermediate-level course that will help you improve your Power BI skills and become an expert data analyst or data scientist. The course is carefully structured to provide an in-depth understanding of Microsoft Power BI and its features, along with some important tips and tricks.

"Start your career as a Business Intelligence Analyst and earn up to £70,000 per Year." Looking to capitalise on the 27% surge in demand for Data and Business Intelligence Analysts in the UK? Our 'Data and Business Intelligence Analyst Job Ready Program' packs 5 powerful courses into one complete package, guaranteeing real-world job readiness. With comprehensive career support and a money-back promise, your success isn't just anticipated - it's assured! Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data and Business Intelligence Analysts, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data and Business Intelligence Analyst Job Ready Program today and start your journey to becoming a successful Data and Business Intelligence Analyst! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Learning Outcomes: Master the art of transforming raw data into meaningful insights. Gain proficiency in industry-standard BI and data analysis tools. Develop strong SQL, Python, and data visualisation skills. Understand predictive analytics and machine learning concepts. Learn to create interactive dashboards and reports. Hone critical thinking for effective data-driven decision-making. Gain hands-on experience through real-world projects. Achieve competency in data governance and management best practices. Here are the courses we will provide once you enrol in the program: Course 01: Business Intelligence Analyst Course Course 02: Business Intelligence and Data Mining Course 03: Raising Money & Valuations Course 04: Uniform System of Accounting for Lodging Industries Part 1 Course 05: Business Performance Management Course 06: Business Studies Course 07: Advanced Excel Analytics Course 08: Data Science & Machine Learning with R Course 09: Quick Data Science Approach from Scratch Course 10: SQL for Data Science, Data Analytics and Data Visualization Course 11: Python Data Science with Numpy, Pandas and Matplotlib Course 12: Complete Python Machine Learning & Data Science Fundamentals Course 13: Set Menu Prices for your restaurant using data Course 14: Data Analysis In Excel Course 15: Reporting and Data Course 16: Excel Pivot Tables for Data Reporting How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data and Business Intelligence AnalystJob Ready Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data and Business Intelligence Analyst Job Ready Program is ideal for: Aspiring Data and Business Intelligence Analyst seeking comprehensive training and industry-specific career guidance. Individuals looking to transition into a data-based role and require personalised mentorship. Graduates wanting to enhance their employability with tailored CV building and interview preparation. Career changers looking for an all-in-one solution to securing a job in the finance industry. Data Analysis enthusiasts desiring to leverage industry connections for job opportunities in business development. Career path Junior Data Analyst: £26,000 - £35,000 Data Analyst: £35,000 - £50,000 Senior Data Analyst: £50,000 - £70,000 Business Intelligence Analyst: £40,000 - £60,000 Senior Business Intelligence Analyst: £60,000 - £80,000 Data Scientist: £70,000 - £100,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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.

Retargeting helps to promote brand awareness and sales. It involves reconnecting with the website visitors and persuading them to take action. This Retargeting Ads - The Complete Guide course will explain the steps to run a successful retargeting campaign.  This Retargeting Ads - The Complete Guide course will provide you with valuable insights into remarketing and retargeting and their objectives. You'll learn the techniques to create intelligent retargeting and remarketing strategies for better advertising. Furthermore, you'll know how to use Google Analytics to develop your audience segments and build your remarketing audiences in a Google Analytics account. You'll also learn to configure your remarketing campaigns and make your retargeting audience with Google Adwords. Learning Objectives Know the difference between retargeting and remarketing Understand how retargeting works Learn the remarketing strategies to re-engage your prior customers Gain an excellent understanding of Google Analytics Tag Understand the benefits of using Google Tag manager Know how to use Google Analytics to develop and build your audience segments Explore the process of remarketing with Google Analytics Understand how Google ads audience manager works Who is this Course for? This Retargeting Ads - The Complete Guide course is ideal for aspiring professionals who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of retargeting ads or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course. However, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. A good understanding of the English language, numeracy, and ICT are required to attend this course. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career Path On successfully completing the Retargeting Ads - The Complete Guide course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Paid Media Manager PPC Manager Digital Marketing Assistant Course Curriculum Module 01: Welcome and Introduction Welcome to the retargeting ad masterclass (plus a sneak preview) Don't Skip! 00:07:00 What is remarketing and retargeting? Defining our objectives and purpose 00:17:00 Module 02: The Digital Advertising Ecosystem: Understanding How Retargeting Works The Digital Advertising Ecosystem 00:08:00 Understanding Ad Exchanges And How They Work 00:20:00 What Remarketing Looks Like On The Inside 00:10:00 Module 03: Developing Your Remarketing and Retargeting Strategies Audiences and Segments: The Foundation Of Your Remarketing Strategy 00:07:00 Understanding Intent Signals and Visitor Engagement 00:12:00 Behavioural Characteristics - The Composition Of Your Segments 00:15:00 Combining Characteristics - Infinite Possibilities! 00:07:00 Characteristics That Matter To You Your First Assignment 00:02:00 Module 04: Planning Your Retargeting Campaigns Like A Pro Funnel Based Segmentation - Funnel Mapping 00:10:00 Funnel Based Segmentation - Using The Funnel To Develop Your Lists 00:14:00 Using Your Website To Plan Your Remarketing Lists 00:19:00 Mapping Your Ad Groups Using Your Lists and Values (Part 1) 00:13:00 Mapping Your Ad Groups Using Your Lists and Values (Part 2) 00:14:00 Module 05: Using Google Analytics To Develop and Build Your Audience Segments Introduction To The Google Analytics Tag 00:05:00 Logging In To Google Analytics Account & Retrieving Your Analytics Tracking Tag 00:04:00 Adding Your Google Analytics Tag To Your Website And Verifying That It's Working 00:13:00 Module 06: Tips, Tricks & Shortcuts Using Google Tag Manager as Your Tag Management System The Benefits Of Using Google Tag Manager 00:10:00 Signing Into Your Google Tag Manager Account 00:08:00 Adding Your Basic Google Analytics Tag Through Google Tag Manager 00:11:00 Setting Up Custom Button and Link Click Tracking In Google Tag Manager 00:20:00 Adding Page-Level Scroll Depth Tracking In Google Tag Manager 00:15:00 Adding Custom User Engagement Timers In Google Tag Manager 00:13:00 Adding Google Adwords Conversion Tracking Through Google Tag Manager 00:10:00 Setting Up Your Google AdWords Remarketing Tag Using Google Tag Manager 00:10:00 Module 07: Building Your Remarketing Audiences In Your Google Analytics Account Linking Your Google AdWords and Google Analytics Accounts 00:10:00 Introduction To The Google Analytics Audience Builder 00:17:00 Building Remarketing Audiences In Google Analytics Based On URL Attributes 00:18:00 Developing Remarketing Audiences Using Your AdWords Campaigns and AdWords Data 00:22:00 Setting Up Sequences In The Google Analytics Audience Builder Using AdWords Campaigns Final 00:05:00 Setting Up Goal-Based Remarketing Audiences In Google Analytics 00:14:00 Setting Up Event-Based Audiences Using The Google Analytics Display Builder 00:17:00 Importing Remarketing Audiences From The Google Analytics Solutions Gallery 00:11:00 Data Drilldown- Using Affinity Categories To Enhance Your Remarketing Campaigns 00:19:00 Data Drilldown - Using In-Market Segments To Enhance Your Remarketing Audiences 00:12:00 Module 08: Introduction To Configuring Your Remarketing Campaigns In Google AdWords How Google Analytics and AdWords Talk To Each Other 00:09:00 Importing Google Analytics Goals into AdWords For Conversion Tracking 00:06:00 Viewing and Analysing Google Analytics Remarketing Audiences in Google AdWords 00:14:00 Module 09: Using The Google AdWords Audience Builder To Build Your Retargeting Audiences Introduction To Building Retargeting Ads Lists In Google AdWords 00:05:00 Building and Configuring New Retargeting ads lists inside Google AdWords 00:10:00 Using Custom Combinations To Effectively Sculpt Your Retargeting Ads Traffic 00:11:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Retail Analytics Course Each retail business targets drawing new clients, holding them and offering more to every one of them. Nonetheless, retail organizations should give clients the items or administrations they need at proper costs to accomplish this objective. They should likewise guarantee that clients have the correct shopping experience. Information investigation proves to be useful, helping retail organizations to accomplish their targets. Brand force and client sentiments are significant retail industry drivers, subsequently the embodiment of retail investigation. With benefits going from endurance in a serious market to remaining in front of customer patterns, retail examination is basic retail organizations. They rely upon measurements and verifiable and exceptional information to settle on significant business choices. This course covers four modules to assist you with understanding the essentials of retail examination. What You Will Learn The meaning of retail examination Advantages of retail investigation Usually conveyed investigation in retail Investigation programming Retail prescient investigation Kinds of retail information for investigation Step by step instructions to win more clients and deals utilizing information Current retail investigation patterns Advantages of Taking the Course Taking the course will help you to: See retail investigation and its part in organizations working in the business Know the advantages of retail investigation to organizations Figure out how to utilize retail examination to improve business execution and profitability Figure out how retail investigation assist with prescient examination Figure out how to pull in more clients and increment deals utilizing enormous information Learn current retail investigation patterns into what's to come