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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

Unlock the power of data with our "Creating Compelling Data Visualisations" course. From mastering the fundamentals of data analytics and statistics to leveraging cutting-edge tools and techniques, each module is designed to transform raw information into impactful visual stories. Gain the skills to captivate your audience and drive data-driven decisions with clarity and precision. Enrol now and become a master of data visualisation! Learning Outcomes: Acquire a comprehensive understanding of data analytics and its role in decision-making. Develop proficiency in using statistical techniques to analyse and interpret data accurately. Master the process of gathering and organising data efficiently for optimal analysis. Utilise Excel as a powerful tool for data manipulation and analysis. Explore various tools and technologies employed in data analytics. Cultivate a data-analytic mindset to identify actionable insights from complex data sets. Create visually compelling data visualisations that effectively communicate insights and facilitate data-driven decision-making. In today's data-driven world, the ability to transform raw information into meaningful insights is a crucial skill for professionals across industries. Introducing our comprehensive course on "Creating Compelling Data Visualisations," designed to equip you with the knowledge and techniques to excel in the realm of data analytics. Through a series of immersive modules, you'll delve into the fascinating world of data, exploring its intricacies, gathering the right information, and storing it efficiently. Dive deep into statistical analysis, mastering the art of drawing insights from complex datasets with precision and accuracy. Discover the power of Excel as a robust tool for data manipulation and analysis. Unleash your creativity as you learn to transform raw data into captivating visual stories. Explore a range of data visualisation tools and techniques, uncovering the best practices to effectively communicate insights to diverse audiences. Develop a data-analytic mindset, sharpening your ability to identify actionable insights and make data-driven decisions that propel your organisation forward. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is particularly useful for: Professionals seeking to enhance their data analysis skills. Aspiring data analysts and researchers. Managers and decision-makers who need to interpret and communicate data effectively. Students and graduates looking to boost their employability in the data-driven job market. Career path Data Analyst: £25,000 - £50,000 per year Business Intelligence Analyst: £30,000 - £60,000 per year Data Visualization Specialist: £35,000 - £70,000 per year Data Scientist: £40,000 - £80,000 per year Market Research Analyst: £25,000 - £45,000 per year Financial Analyst: £30,000 - £60,000 per year Note: Salary ranges can vary based on factors such as experience, qualification, and industry.

Embark on a transformative journey into data analytics with our comprehensive course. Discover the power of data & analytics through engaging modules designed to equip you with skills and knowledge. Whether you're a novice or a seasoned professional, this data analytics course is your gateway to unlocking the potential of big data analytics. From understanding the basics like what is data analytics and harnessing the power of statistics to mastering data visualisation tools, each step is crafted to empower you with the tools necessary to navigate the world of data analytics confidently. With the Google Data Analytics Professional Certificate, you'll gain invaluable insights and practical experience that can catapult you into lucrative data analytics jobs. From enhancing your employability to boosting your earning potential, this course opens doors to a myriad of opportunities in this field. Learning Outcomes: Acquire a solid foundation in data analytics principles and techniques. Develop proficiency in using various data analytics tools and software. Gain skills in data mining, storage, and visualisation. Cultivate a data-analytic mindset to tackle complex problems effectively. Explore career pathways in data science with confidence and clarity. Why buy this Data Analytics Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Data Analytics there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Analytics course for? Aspiring data analysts seeking to kickstart their careers. Professionals looking to enhance their skillset in this field. Students interested in exploring the fascinating world of data science. Entrepreneurs aiming to leverage analytics for business growth. Individuals seeking to transition into lucrative data analytics jobs. Prerequisites This Data Analytics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 Per Annum Data Scientist: £30,000 - £70,000 Per Annum Business Intelligence Analyst: £28,000 - £55,000 Per Annum Data Engineer: £35,000 - £65,000 Per Annum Database Administrator: £25,000 - £55,000 Per Annum Analytics Manager: £40,000 - £80,000 Per Annum Course Curriculum Module 01: Introduction to the World of Data Introduction to the World of Data 01:00:00 Module 02: Basics of Data Analytics Basics of Data Analytics 00:40:00 Module 03: Statistics for Data Analytics Statistics for Data Analytics 01:00:00 Module 04: Actions Taken in the Data Analysis Process Actions Taken in the Data Analysis Process 00:55:00 Module 05: Gathering the Right Information Gathering the Right Information 01:00:00 Module 06: Storing Data Storing Data 01:15:00 Module 07: Data Mining Data Mining 01:00:00 Module 08: Excel for Data Analytics Excel for Data Analytics 01:20:00 Module 09: Tools for Data Analytics Tools for Data Analytics 01:20:00 Module 10: Data-Analytic Thinking Data-Analytic Thinking 01:10:00 Module 11: Data Visualisation That Clearly Describes Insights Data Visualisation That Clearly Describes Insights 00:45:00 Module 12: Data Visualisation Tools Data Visualisation Tools 01:00:00 Assignment Assignment - Data Analytics 00:00:00

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? 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 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 Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. 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 £135 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 Section 01: Introduction 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 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor 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 Solution 00:11:00 Section 04: Data Transformation - Advanced 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 Section 05: Creating a Data Model 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 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization 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 Section 07: Power BI & Python 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 Section 08: Storytelling with Data 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 Section 09: DAX - The Essentials 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 Section 10: DAX - The CALCULATE function 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 Section 11: Power BI Service - Power BI Cloud 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 Section 12: Row-Level Security 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 Section 13: More data sources 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 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Get detailed customer behaviour insights and know-how to measure the return on investment across various retail business aspects by enrolling in our Retail and Data Analytics course. Based on a set of Retail Management principles, this exclusive learning package mentors you to excel in Retail and Data Analytics to convey its benefits to your retail business and prepare yourself for future opportunities and challenges. Retail and Data Analytics training focuses on sales, inventory, productivity, customers, and many crucial business operation aspects. After your successful completion, you'll be far more capable of dealing with product efficiency complications, communicating with the reputed Retail Organizations, delivering improved customer service to lure more people on the door and much more. Enrol today and find smart ways to make your prospects feel comfortable. Learning outcomes Get introduced to retail and data analytics Learn to convert insights into profits Learn how actually to use reusable bags and seats. Read up on compromise price effect Understand the left digit effect Learn the concept of treasure hunt Use data to find new micro-markets Gain the knowledge on competitor threat analytics Know the hardcore terms Know the tracking effectiveness of celebrity marketing. Recognize the benefits of real analytics Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is This Course for? This course is intended to teach individuals all the required aspects of Retail and Data Analytics and the ability to provide contingency and recovery plans for a high-performing organisation or business. Requirements The Retail and Data Analytics is open to all students and has no formal entry requirements. To study the Retail and Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path This course is intended for those wanting to work in an operational or support area and take responsibility for identifying risk-related issues. As such, it covers the following careers and roles: Retail Financial Analyst Insights Analyst Retail Junior Retail Sales Analyst Retail Category Finance Analyst Test Analyst- eCommerce Transformation-Retail Insight Analyst Application Support Analyst Contract Business Analyst Course Content Module 1: Introduction to Retail Analytics Introduction to Retail Analytics 00:50:00 Module 2: Retail Psychology Retail Psychology 00:15:00 Module 3: Retail and Data Analytics Retail and Data Analytics 00:18:00 Module 4: Benefits of Retail Analytics Benefits of Retail Analytics 00:25:00 Module 5: Retail Strategy Retail Strategy 00:15:00 Module 6: Retail Buying and Merchandising Retail Buying and Merchandising 00:19:00 Module 7: Forecasting Forecasting 00:35:00 Module 8: Retail Pricing Retail Pricing 00:34:00 Module 9: Analytics Software Analytics Software 00:34:00 Module 10: Supply Chain Management in Retailing Supply Chain Management in Retailing 00:14:00 Module 11: The Sales Process and Dealing with Customers at the Checkout The Sales Process and Dealing with Customers at the Checkout 00:12:00 Module 12: Selling in Multiple Channels Selling in Multiple Channels 00:23:00 Module 13: Taking Trends and Targeting Customers Effectively Taking Trends and Targeting Customers Effectively 00:13:00 Assignment Assignment - Retail And Data Analytics 2 weeks, 1 day Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Overview The demand for skilled cybersecurity professionals is soaring in today's digital landscape. The CompTIA CySA+ Cybersecurity Analyst (CS0-002) course is your gateway to a lucrative and rewarding career in this high-demand industry. This course delves deep into various aspects of cybersecurity, from threat analysis and vulnerability identification to incident response and digital forensics. It's designed to ensure you're ready to excel in the field. This course covers various topics, including threat intelligence, vulnerability identification, incident response, and forensics analysis.  With 60+ hours of engaging content, our expert instructors will equip you with the knowledge and skills required to excel in the CompTIA CySA+ certification exam and kickstart your career in cybersecurity. Enrol in the CompTIA CySA+ Cybersecurity Analyst (CS0-002) course today and secure your future in this high-demand industry! 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 CompTIA CySA+ Cybersecurity Analyst (CS0-002). It is available to all students, of all academic backgrounds. Requirements Our CompTIA CySA+ Cybersecurity Analyst (CS0-002) 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 22 sections • 96 lectures • 11:35:00 total length •Introduction: 00:02:00 •All about the Exam: 00:08:00 •What's New on the CompTIA CySA+ Exam?: 00:05:00 •Meet the Instructors: 00:02:00 •Thinking like the Enemy: 00:09:00 •Tools of the Trade: 00:08:00 •Intelligence Sources and Confidence Levels: 00:08:00 •Threat Indicators and Actors: 00:08:00 •Threat Trends: 00:07:00 •Intelligence Cycle and ISACs: 00:06:00 •Attack Frameworks: 00:06:00 •Threat Research: 00:11:00 •Threat Modeling and Intelligence Sharing: 00:06:00 •Vulnerability Identification: 00:07:00 •Scanning Parameters and Criteria: 00:09:00 •Scanning Special Considerations: 00:06:00 •Validation: 00:03:00 •Remediation and Mitigation: 00:08:00 •Inhibitors to Remediation: 00:07:00 •Web Applications Scanners, Part 1: 00:10:00 •Web Applications Scanners, Part 2: 00:05:00 •Scanning: 00:06:00 •Configuring and Executing Scans: 00:08:00 •Vulnerability Scanning: 00:10:00 •Reverse Engineering: 00:08:00 •Enumeration: 00:06:00 •Wireless Assessment Tools: 00:08:00 •Cloud Assessment Tools: 00:04:00 •Mobile and IoT: 00:10:00 •Embedded and Firmware Systems (RTOS, SoC, and FPGA): 00:09:00 •Access and Vehicles Risk: 00:08:00 •Automation and Control Risk: 00:10:00 •Cloud Models: 00:07:00 •Remote Service Invocation (FaaS, IaC, API): 00:10:00 •Cloud Vulnerabilities: 00:06:00 •Injection and Overflow Attacks: 00:09:00 •Injection and Overflow Attacks: 00:09:00 •Exploits: 00:08:00 •Application Vulnerabilities, Part 1: 00:08:00 •Application Vulnerabilities, Part 2: 00:07:00 •Network Architecture and Asset Management: 00:09:00 •Protecting Your Territory: 00:05:00 •Identity and Access Management: 00:11:00 •Encryption and Active Defense: 00:08:00 •Platforms: 00:07:00 •SOA and DevSecOps: 00:09:00 •Secure Software Development: 00:08:00 •Best Coding Practices: 00:04:00 •Trusted Hardware: 00:10:00 •Hardware Encryption: 00:04:00 •Hardware Security: 00:08:00 •Data Analytics: 00:10:00 •Endpoint Security: 00:08:00 •Recon Results, Part 1: 00:13:00 •Recon Results, Part 2: 00:05:00 •Impact Analysis: 00:05:00 •Collective Tools: 00:09:00 •Query Writing: 00:07:00 •E-mail Analysis, Part 1: 00:10:00 •E-mail Analysis, Part 2: 00:08:00 •Permissions: 00:09:00 •Firewalls: 00:08:00 •Intrusion Prevention Rules: 00:05:00 •DLP and Endpoint Detection: 00:05:00 •Threat Hunting and the Hypothesis: 00:06:00 •Threat Hunting Process: 00:07:00 •Results and Benefits: 00:05:00 •Workflow and Scripting: 00:07:00 •API and Malware Signature Creation: 00:08:00 •Threat Feeds and Machine Learning: 00:06:00 •Protocols, Standards, and Software Engineering: 00:05:00 •IR Roles and Responsibilities: 00:08:00 •IR Active Preparation: 00:10:00 •Incident Response Process: 00:07:00 •Network Symptoms: 00:04:00 •Host Symptoms: 00:08:00 •Application Symptoms: 00:04:00 •Digital Forensics: 00:10:00 •Seizure and Acquisitions: 00:05:00 •Forensics Acquisition Tools: 00:09:00 •Mobile, Virtualization, and Cloud: 00:06:00 •Forensics Analysis, Part 1: 00:04:00 •Forensics Analysis, Part 2: 00:08:00 •Packet Capture: 00:12:00 •Data Privacy and Security: 00:06:00 •Nontechnical Controls: 00:09:00 •Technical Controls: 00:08:00 •Business Impact Analysis: 00:05:00 •Risk Identification: 00:05:00 •Risk Calculation and Communication: 00:06:00 •Training: 00:04:00 •Supply Chain Assessment: 00:04:00 •Frameworks: 00:13:00 •Policies and Procedures: 00:05:00 •Controls and Procedures: 00:08:00 •Verification: 00:06:00

Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop 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 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Overview Become an expert in online marketing and learn how to turn brands and businesses into huge successes overnight. This popular Digital Marketing and Advertising Level 3 course is designed to teach anyone the fundamental knowledge needed to perform dynamic online advertising that works. The many online learning modules provide expert tuition for every aspect of Digital Marketing; from using SEO to target an audience, to utilising the power of social media to make a product go viral. You will also be taught how to use video and email marketing in order to maximise the recognition for your work and make everyone aware of your product. 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 Digital Marketing and Advertising Level 3. It is available to all students, of all academic backgrounds. Requirements Our Digital Marketing and Advertising Level 3 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 13 sections • 123 lectures • 11:23:00 total length •Welcome: 00:01:00 •How to register your company: 00:04:00 •How to see Email Sender's Company and Logo in Your Gmail: 00:02:00 •How to Generate sitemap of a website: 00:03:00 •How to protect a website from Spam on WordPress: 00:02:00 •Quick way to identify whether the website is Mobile optimized: 00:03:00 •How to identify registration data of website: 00:01:00 •How to identify duplicate content from the web: 00:03:00 •How to create google alerts: 00:03:00 •How to find the age of the domin: 00:02:00 •How to check if the website server is down: 00:01:00 •How to create text notes thatwill self destruct after being read: 00:02:00 •How to send google search information to your friends: 00:03:00 •How to find webhost of any website: 00:02:00 •Discover new sites that are similar to what you like alredy: 00:03:00 •How to easily highlight the important parts of a web page: 00:01:00 •How to share you email online without worrying about spam: 00:02:00 •How to get compute level answers without searching: 00:03:00 •The easiest way to setup email reminders: 00:03:00 •How to find the original URL tht's hiding behind a short URL: 00:02:00 •How to corrupt a file you shared online: 00:01:00 •How to create a throwaway email: 00:02:00 •How to check if your email account has been compromised: 00:01:00 •How to register website on Google search console: 00:06:00 •How to Optimize your website homepage: 00:06:00 •How to add a sitemap on google search: 00:07:00 •How to shortlist targeted keyword list in google keyword planner: 00:08:00 •How to set international targeting on google search: 00:02:00 •How to remove a URL from google search engine: 00:03:00 •How to identify competitors keyword: 00:08:00 •How to leverage top sites to get on google search results: 00:04:00 •Discover powerful data analytics to mesure SEO performance: 00:06:00 •How to do keyword research: 00:11:00 •How to write perfect title tags for search engines: 00:05:00 •How to optimise heading tags, external and internal links: 00:08:00 •What are backlinks & how to get them: 00:06:00 •How to write a perfect Meta description: 00:06:00 •How to enhance speed & performance of your website: 00:04:00 •Youtube account setup: 00:04:00 •Account optimization: 00:09:00 •How to create & setup Youtube channel banner: 00:05:00 •Youtube channel tags, thumbnails & custom thumbnails: 00:08:00 •Analyse Youtube keyword research: 00:05:00 •Youtube SEO techniques: 00:07:00 •What are Youtube cards & how does it work: 00:06:00 •How to optimise comments & reply them in bulk: 00:03:00 •How to grow your channel with competitor Analysis: 00:07:00 •How to manage multiple YouTube accounts: 00:02:00 •A simple yet powerful trick to increase your subscribers list: 00:03:00 •Youtube Paid Advertising: 00:13:00 •How to monetise your YouTube channel: 00:02:00 •What are Google Ads & how does it work: 00:16:00 •Account setup: 00:04:00 •Competitors analysis: 00:08:00 •Campaign types & how to select the right campaign: 00:07:00 •Bids & Budgets: 00:08:00 •How to target the right audience: 00:07:00 •Google Ads advance campaign settings: 00:07:00 •Choosing the right keywords: 00:05:00 •How to write ads that gets more clicks: 00:06:00 •How to install tracking code on your website: 00:04:00 •How to add filters & remove internal traffic: 00:04:00 •How to track paid campaigns: 00:04:00 •How to look and analyse different segment data: 00:06:00 •How to configure goals in google analysics: 00:05:00 •How to link google Adwords account: 00:03:00 •How to manage multiple analytics accounts: 00:02:00 •How to remove spam traffic: 00:04:00 •Email marketing tools set up ( Mailchimp and Gestresponse): 00:10:00 •How to install signup or popup forms on the website: 00:17:00 •How to collect email address without a wbsite: 00:05:00 •How to create a 'Hook' to your signup forms: 00:08:00 •Discover the psychology behind acquiring more leads: 00:09:00 •Email marketing automation process: 00:08:00 •Email analytics: 00:07:00 •How to increase your connections in no time: 00:08:00 •Secret of LinkedIn InMails: 00:05:00 •Discover the best ways to use Linkedin Groups: 00:09:00 •How to setup a company page on Linkedin: 00:04:00 •How to increase traffic to your website using Linkedin blog: 00:07:00 •Twitter Account setup: 00:03:00 •Knowing Twitter features: 00:06:00 •Following twitter accounts: 00:03:00 •Twitter profile optimisation: 00:06:00 •How to get Twitter followers: 00:10:00 •Posting first 5 tweets for engagement: 00:05:00 •Leveraging Hashtags to increase your tweets visibility: 00:04:00 •What are twitter polls & how do you use them: 00:05:00 •A powerful trick to acquire customers on twitter: 00:03:00 •How to get followers retweet your post: 00:03:00 •How to embed a twitter button to your website or post: 00:02:00 •Twitter analytics: 00:04:00 •Set your Facebook page: 00:05:00 •Facebook Icon, cover image & description: 00:06:00 •How to get your first page likes: 00:08:00 •Discover how to increase your page likes: 00:02:00 •How to manage multiple Facebook page: 00:03:00 •Facebook comments: 00:05:00 •Leveraging Facebook groups: 00:05:00 •Facebook Autoposting: 00:04:00 •Run a competition: 00:06:00 •Facebook Ads: 00:04:00 •How to get best out of Facebook: 00:15:00 •Facebook pixel & Re-marketing: 00:04:00 •How to setup a Instagram business profile: 00:07:00 •Set up Instagram bio & profile image: 00:03:00 •Leveraging Instagram accounts: 00:06:00 •A simple way to create free content on Instagram: 00:05:00 •Secret of hashtags on Instagram: 00:04:00 •Reposting Instagram App: 00:04:00 •How to get genuine Instagram followers: 00:05:00 •Discover how to grow your business through Instagram stories: 00:05:00 •How to get your posts reposted on Instgram by influncers: 00:05:00 •A quick way to do App store marketing research: 00:16:00 •How to discover the estimate size of your market: 00:08:00 •Discover the best ways to promote your app: 00:15:00 •App installs via Facebook Ads: 00:16:00 •App installs via Google Ads: 00:14:00 •How to make money from your app: 00:08:00 •How to optimise your App store listing ?: 00:14:00 •Discover growth hacking techniques for App downloads: 00:09:00 •Techniques to get to the top of App store ranking: 00:07:00 •Assignment - Digital Marketing and Advertising Level 3: 00:00:00

Learning Outcomes Understand the importance of customer relationship management in modern business and its impact on customer satisfaction and loyalty Learn about different types of CRM software and how to select and implement a suitable solution for a particular business Develop skills in managing customer interactions and communication across various channels, including email, phone, and social media Gain knowledge in data analytics and reporting to better track customer behaviour and identify trends and patterns Explore strategies for using CRM to improve sales and marketing efforts, such as targeting and segmentation Develop skills in managing customer complaints and resolving conflicts to maintain positive relationships with customers Understand the legal and ethical considerations surrounding customer data and privacy in the context of CRM Learn how to measure and evaluate the success of a CRM program and make improvements over time Description For those looking to develop their abilities in managing client interactions, strengthen their relationships with customers, and expand their businesses, our Customer Relationship Management (CRM) course is ideal for them. In this course, students will obtain a thorough understanding of the function of CRM in contemporary business and how it may affect client loyalty and satisfaction through the course. Participants will get knowledge about several CRM tool types and how to pick and use the best option for their particular business needs. Also, they will learn how to manage customer contacts and communication through a variety of platforms, including email, phone, and social media. Their ability to better monitor customer behaviour, spot trends and patterns, and use data analytics and reporting to make defensible judgements will all be elevated by this training. The course will also address how to manage customer complaints and settle disputes to preserve strong relationships, as well as ways for using CRM to improve sales and marketing efforts, including targeting and segmentation. Also, students will learn about the moral and legal issues that arise when dealing with customer privacy and data in the context of CRM. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment In order to successfully complete the Customer Relationship Management course, students will be required to sit for a final assessment. After they submit their assignment, our expert team will evaluate and provide instant feedback. Career Path Here are some potential career paths for individuals who take a Customer Relationship Management (CRM) course in the UK, along with the annual salary range for each: CRM Manager: £46,000 to £66,000 per year Customer Success Manager: £35,000 to £50,000 per year Sales Manager: £36,000 to £71,000 per year Marketing Manager: £35,000 to £65,000 per year Course Content Module 01: Customer Relationship Management Module 02: What CRM Is and Who It Serves Module 03: Checklist for Success Module 04: Requirement Driven Product Selection Module 05: Considerations in Tool Selection Module 06: Strategies for Customer Retention Module 07: Building the Future Module 08: Homegrown vs. Application Service Provider Module 09: The Development Team Module 10: Evaluating and Reviewing Your Program