1725 Analytics courses in Conisborough delivered Online

24-Hour Flash Sale! Prices Reduced Like Never Before!! Do you dream of a career where you build relationships, solve problems, and ensure customer satisfaction? In the UK alone, the customer service industry employs over 5 million people, with a projected growth of 10% by 2026. The "Customer Service, KYC & CRM Training" course bundle is carefully designed to meet this demand, offering a comprehensive curriculum that equips learners with the skills to excel in these crucial areas. This comprehensive course bundle covers six key areas, beginning with foundational training in Customer Service Co-ordination. It advances into specialised KYC compliance for fraud prevention, then dives into CRM for optimising customer relationships, and highlights the significance of a Customer-friendly Environment. Further, it offers expertise in Customer Analytics for behavioural insights and equips learners to combat fraud as Customer Service Fraud Officers. This Customer Service, KYC & CRM Training Bundle Contains 6 of Our Premium Courses for One Discounted Price: Course 01: Diploma in Customer Services Course 02: Diploma in Know Your Customer (KYC) Course 03: Diploma in Customer Relationship Management (CRM) Course 04: Customer Service & Environment Course 05: Customer Analytics Training Taking this course will not only improve your understanding and skills in customer service, KYC, and CRM but also significantly enhance your career prospects. As businesses increasingly recognise the value of customer-centric service models and compliance with regulatory standards, the demand for qualified professionals in these areas is soaring. So enrol now on this training and position yourself as a valuable asset in any customer-focused industry! Why Choose Our Customer Service, KYC & CRM Training Course? Get a chance to order a QLS Endorsed Certificate upon completion of the course Get a Free Student ID Card with this training course The course is Affordable and Simple to understand Lifetime Access to the course materials The course comes with 24/7 Tutor Support So enrol now in this Customer Service, KYC & CRM Training Today to advance your career! Assessment Process of the Customer Service, KYC & CRM Training Once you have completed all the modules on the course, you can assess your computer skills and knowledge with an optional assignment. Our expert will assess your assignment and give you feedback afterwards. Course 01: Customer Services Co-ordinator Training Introduction to Customer Service What's Different about Good Customer Service? Customer Relationship Management Customer Service Communication Strategies Data Analysis in CRM Deepening Customer Relationship Handling Customer Complaints Aspects of Phone Etiquette Know Your Customer (KYC) Customer Due Diligence - CDD Course 02: Know Your Customer (KYC) Introduction to KYC Customer Due Diligence AML (Anti-Money Laundering) KYC, AML and Data Privacy Regulations for Businesses Operations in the United Kingdom Regulations to be Complied by Industries Methods for carrying out KYC and AML and the Future of KYC Compliance Course 03: Customer Relationship Management CRM Fundamentals CRM Strategies Data Analysis in CRM CRM Databases Deepening Customer Relationship Handling Customer Complaints Future of CRM =========>>>>> And 2 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*6 = £78) CPD 170 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Customer Service Executives Compliance officers CRM managers Marketing professionals Fraud analysts Requirements You will not need any prior background or expertise to enrol in this Customer Service, KYC & CRM Training Course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Customer Service Manager - £30,000 to £50,000 KYC Analyst - £25,000 to £40,000 CRM Specialist - £30,000 to £45,000 Customer Insights Analyst - £35,000 to £55,000 Fraud Prevention Specialist - £28,000 to £45,000 Customer Experience Manager - £32,000 to £60,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free CPD Accredited Hard Copy Certificate Hard copy certificate - £29 CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery) Customer Services Co-ordinator Training at QLS Level 4 Hard copy certificate - £99 After successfully completing the Diploma in Customer Services Co-ordinator Training at QLS Level 4 course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery

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How Retargeting Works Certification Have you at any point perused an online store, just to have the items you seen follow you from one site to another? This is the manner by which retargeting works, and it is an incredible method to change over internet browsers to customers. Retargeting guarantees that your image gets before the individuals who have effectively communicated an interest in you again and again. Studies show that rehashed openness to brand, promotions and messages can positively affect your main concern. Truth be told, research demonstrates that 70% of individuals presented to retargeting advertisements get back to the first site to finish the exchange. This course expounds in regards to retargeting on different web stages. We start by giving you a prologue to the idea of retargeting, including its advantages and models. Then, we talk about how you can utilize Google AdWords and Analytics in your remarketing effort. We additionally survey retargeting on Facebook, furnishing you with explicit instruments you can use to contact your web guests. At long last, we talk about retargeting on different stages, like Twitter and Instagram. You Will Learn: What retargeting is and why it ought to be a critical piece of your internet advertising procedure Instructions to remarket utilizing Google Why you ought to become familiar with Facebook Pixel The different ways you can utilize Facebook Ads to contact your clients What to do on the off chance that you don't have the opportunity or experience needed to make your own retargeting efforts Advantages of Taking this Course Figure out how retargeting can improve your profit from speculation and increment your benefits Figure out how to contact web guests who may go to the opposition in the event that you don't act rapidly Improve comprehension of the necessities of your crowd Figure out how to remarket on different stages, including Facebook, Twitter and Instagram Figure out how to make your transformation rate take off

Overview This comprehensive course on Data Visualization and Reporting with Power BI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Visualization and Reporting with Power BI 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 Data Visualization and Reporting with Power BI. It is available to all students, of all academic backgrounds. Requirements Our Data Visualization and Reporting with Power BI 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 15 sections • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Data Visualization and Reporting with Power BI: 00:00:00

Financial Advisor Training Overview Financial advisors make every effort to help clients manage money efficiently. As a financial advisor, you'll educate your clients on investments, taxes, savings accounts, insurance, mortgages, etc. Moreover, the career includes unlimited earning potential. This Financial Advisor Training course is your first step toward financial advising. Here, you'll discover the must-have skills for financial advisors. The training will take you through the essentials of financial planning and explain how to create effective personal and professional financial statements.  Then, you will learn how to perform a financial risk assessment to identify the specific risks in your business processes and manage those risks. The course will also guide you through the intriguing steps in investment planning and discuss how to help people achieve their financial goals while planning for divorce. Course Preview Learning Outcomes Discover the essential skills for a financial advisor Learn how to make personal and professional financial statements Understand what financial risk is and how to assess it Know the steps for effective investment planning Find a comprehensive guide to divorce financial planning Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn From the Course? Financial Advising Financial Statement Management Investment Planning Financial Planning Who Should Take this Financial Advisor Training? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Financial Advisor Training is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful.  Financial Advisor Training Certification After completing and passing the Financial Advisor Training successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path​ Financial Advisor Training provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Financial advisor - Average salary: £40,000 - £73,000 per year Investment advisor - Average salary: £40,000 - £100,000 per year Wealth manager - Average salary: £50,000 - £120,000 per year Financial analyst - Average salary: £30,000 - £60,000 per year Investment banker - Average salary: £60,000 - £120,000 per year Financial planner - Average salary: £25,000 - £60,000 per year Module 01: Introduction to Finance Introduction to Finance 00:23:00 Module 02: Essential Skill for Financial Advisor Essential Skills for Financial Advisors 00:34:00 Module 03: Financial Planning Financial Planning 00:37:00 Module 04: Wealth Management and Guide to Make Personal Financial Statements Wealth Management and Guide to Make Personal Financial Statements 00:18:00 Module 05: Financial Risk Management and Assessment Financial Risk Management and Assessment 00:31:00 Module 06: Investment Planning Investment Planning 00:25:00 Module 07: Divorce Planning Divorce Planning 00:26:00 Module 08: Google Analytics for Financial Advisors Google Analytics for Financial Advisor 00:26:00 Recommended Materials Recommended Readings - Finance: Financial Advisor 00:00:00 Assignment Assignment - Finance: Financial Advisor 00:00:00 Order Your Certificates and Transcript Order Your Certificates and Transcripts 00:00:00

Money talks—and in this Finance & Investment Course, it actually makes sense. Whether you're someone who reads the financial pages for fun or someone who still confuses stocks with socks, this course is tailored to give you a clearer understanding of how money works, grows, and flows. From basic budgeting and personal finance principles to the strategic side of investing, we break down the world of finance without turning it into a sleep-inducing spreadsheet session. It’s structured for those who want to make sharper financial choices, without needing a maths degree or a tie. The Finance & Investment Course also explores investment strategies, market movements, risk factors, and portfolio planning—minus the waffle. You’ll gain insights into stocks, bonds, funds, and more, in plain English. There’s no need to dress up for class or fight traffic to a lecture hall—everything is online, smartly written, and designed to suit your pace. If you’ve ever wondered where your money goes, or better yet, how to make it go further, this is your chance to learn with confidence and a few light chuckles along the way. Learning Outcomes By the end of the course, learners will be able to: Gain a thorough understanding of the financial industry and financial concepts Know the roles and responsibilities and gain the skills required to become a financial advisor Know how private wealth management is different from wealth management Learn about financial risks, financial risk management and the process of managing financial risks Gain in-depth knowledge on financial planning, its importance and objectives Become familiar with divorce financial planning, how to divide the money and property from splitting divorce costs and settlements Understand the basic principles of investing and how to build an investment portfolio Find out about Google Analytics, its features and uses Key Features of this Course : Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases *** Additional Gifts *** Free Life coaching Course *** (Offer Ends Soon) *** Course Curriculum The detailed curriculum outline of our Finance & Investment course is as follows: ***Finance & Investment*** Module 01: Introduction to Finance Module 02: Essential Skill for Financial Advisor Module 03: Financial Planning Module 04: Wealth Management and Guide to Make Personal Financial Statements Module 05: Financial Risk Management and Assessment Module 06: Investment Planning Module 07: Divorce Planning Module 08: Google Analytics for Financial Advisors Accreditation All of our courses, including this course, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. Assessment At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. Who is this course for? Anyone with a knack for learning new skills can take this course. While this comprehensive training is popular for preparing people for job opportunities in the relevant fields, it also helps to advance your career for promotions. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

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.

Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems!  Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations. Course Highlights Data Bundle Course is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Data Bundle Course into several modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20/30 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Data Bundle Course Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Data Bundle Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Data Bundle Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Module 1: Database Basics What is a Database FREE 01:00:00 Definition of Terms FREE 01:00:00 Database Users and Languages 01:00:00 Components of a Database System 01:00:00 Basic Set Concepts 01:00:00 Relations as a Database 01:00:00 Relational Database Operators 01:00:00 Database keys 01:00:00 Module 2: Understanding Big Data What Is Big Data? Hint: You're a Part of It Every Day FREE 01:00:00 Why Is Big Data Important? FREE 01:00:00 Why IBM for Big Data? 01:00:00 All About Hadoop: The Big Data Lingo Chapter 01:00:00 InfoSphere BigInsights: Analytics for Big Data at Rest 01:00:00 IBM InfoSphere Streams: Analytics for Big Data in Motion 01:00:00 Module 3: Data Protection Why Internet Marketers Need More Protection FREE 01:00:00 You Can't Be Anonymous FREE 00:15:00 Start With Basic Security Measures 01:00:00 Using Disclaimers 01:00:00 Proper Use Of Email 01:00:00 Protecting Product Rights 01:00:00 Protecting Your Website 01:00:00 Terms Of Use Or Service 00:30:00 Privacy Policy 01:00:00

Master Data Science skills using Python and real time project and go from Beginner to Super Advance level

The course is designed for Google Ads (Google AdWords) practitioners that already have basic knowledge in setting up and running AdWords accounts. The course explores advanced techniques and ideas that I have picked up and developed over 10 years running AdWords campaigns for small to large scale clients. I explain the idea behind each technique and I give you ideas and example cases on how I have used it. I then show you how to set it up step by step inside Google Ads. We also look at how to interpret results and how to apply it to your own campaigns, we look at real data and actual results. What you'll learn Google Ads Campaign Experiments: Best Use Cases, Step-by-Step Setup, Analysis, Implementation Access Google Ads tools for forecasting performance Budget Optimisation techniques using regression formula Advanced Concept Testing: moving beyond A/B ad testing to testing concepts Improving Geotargeting for Local Businesses With A Double Campaign Structure How To Setup, Run, Pivot & Interpret the Paid & Organic Report Make A Strong Argument For Running Branded Ads Using the Paid & Organic Report Identify Opportunities Between Organic & Paid Listings Learn to use a free Google Sheets template for automating and tracking budgets in multiple ad accounts How to find the key pitfalls in any Google Ads account How to Audit a new or existing Google Ads account and find issues to improve upon quickly Utilise Dynamic Ad Customisers for more personalised ads Understand the power of using Google Analytics with Google Ads and be familiar with Audience setup and relevant Google Ads reports in GA Understand attribution models and why the default last click is not always ideal Implement Machine Learning features within Google Ads to benefit your account in ways that human optimisation could never reach Develop a multi-funnel remarketing strategy for GDN and search campaign Requirements Able to set up your own Google Ads account Be confident navigating Google Ads accounts Basic exposure to excel filtering & pivot tables Introduction 1. Introduction 00:02:00 Testing to Ad Concepts 2. Introduction to Ad Concepts 00:02:00 3.Example Ad Concepts 00:04:00 4. Label Setup 00:04:00 5. Reporting on Ad Concepts 00:08:00 Google Ads Paid % Organic Interaction Report 6. Understanding the usefulness of this report 00:03:00 7.Linking Google Ads with Search Console 00:04:00 8.Excel Report Setup & Pivot 00:04:00 9.Identifying Google Ads & SEO Search Term Opportunities 00:02:00 10.CTR Interaction between SEO & SEM 00:06:00 Geolocal Campaigns - Double Campaign Structure 11.The theory behind the double campaign 00:04:00 12.A practical example inside Google Ads 00:03:00 Google Ads Campaign - Experiments (Drafts & Experiments) 13.Introduction to Drafts & Experiments 00:05:00 14.Example experiment Ideas for use 00:06:00 15.Draft & Experiment Setup 00:10:00 16.Report Analysis & explanation of symbols 00:05:00 Automate Budgeting for Multiple Ad Accounts 17. Introduction to the Google Spreedsheet template 00:02:00 18. Data Inputs 00:04:00 19. Reading the sheet output 00:06:00 AdWords Audit 20. Audit Overview 00:02:00 21. Auditing the Account Structure 00:08:00 22. Campaign Settings 00:04:00 23. Auditing on the AdGroup Level 00:10:00 24. Other Things to look for in an Audit 00:08:00 Remarketing Strategy & Implementation 25. Why Remarketing Works 00:03:00 26.GDN Remarketing 00:06:00 27.Remarketing Lists for Search Ads (RLSA) & IF Statements 00:04:00 28. Customer Match (Email Retargeting) 00:01:00 29. Dynamic Remarketing 00:04:00 30. Lookalike Audiences 00:02:00 31. GDN Banner Sizes & Other Things to Consider 00:03:00 32. Audience List Sharing 00:14:00 33. Remarketing with Events 00:06:00 Artificial Intelligence & Machine Learning 34.What is AI & ML 00:06:00 35. Auto Rotate for Budgets & Ads 00:03:00 36.Dynamic Search Ads 00:03:00 37.Smart Bidding Strategies 00:07:00 38.Lookalike Audiences 00:02:00 39.Data Driven Attribution Models 00:03:00 Dynamic Ad Customisers 40.Introduction to Ad Customisers 00:04:00 41. Advantages & Example Uses 00:05:00 42.Setting up the Business Data Feed 00:06:00 43.Best Practice for Ads 00:03:00 Google Analytics for Google Ads 44. The Advantages of linking AdWords with GA 00:04:00 45. Linking GA & AdWords 00:02:00 46. AdWords Reports in GA 00:01:00 47. GA Conversion Tracking & Goal Setup 00:07:00 48. Remarketing Segments in GA 00:13:00 49. Attribution Models in Google Analytics 00:07:00 Using Scripts 50. Introduction to AdWords Scripts 00:04:00 51. 404 Link Checker Script 00:07:00 52. Experiment Results Script 00:07:00 53. Google Ads Audit Script 00:06:00 AdWords Editor 54. Introduction and advantages of AdWords Editor over the online interface 00:04:00 55. Example Uses for AdWords Editor 00:04:00 56.AdWords Editor - what you can't do 00:02:00 Competitor Research Tools 57.Auction Insights displayed graphically 00:17:00 58.3rd Party Competitor Research Tools -SEMrush 00:16:00 Landing Page Software 59.Why Use Landing Page Software 00:06:00 60.Unbounce Walk-through 00:08:00 61. Tracking integration for landing pages 00:09:00 New Features in 2018/19 62.Ad Variations 00:06:00 63.Search Responsive Ads 00:05:00 64. Life Events Audiences 00:04:00 65. Custom Intent Audiences 00:04:00