Give a compliment to your career and take it to the next level. This Digital Marketing bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Digital Marketing bundle will help you stay ahead of the pack. Throughout the Digital Marketing programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Digital Marketing course, you will get 10 premium courses, an originalhardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Digital Marketing Bundle Consists of the following Premium courses: Course 01: Digital Marketing and Advertising Level 3 Course 02: Content Management Course 03: Blogging Course 04: Pinterest Marketing Course 05: WordPress Website Creation and Hosting System with Affiliate Marketing Course 06: Writing Short Story Training Course 07: Professional Photography Course 08: Level 2 Adobe Graphics Design Course Course 09: Freelancing on UpWork Course 10: Sales and Marketing Skills Course 11: Applied Business Analysis Diploma Enrol now in Digital Marketing to advance your career, and use the premium study materials from Apex Learning. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Digital Marketing expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Curriculum of Digital Marketing and Advertising Level 3 Module 01: Introduction Welcome Module 02: General Tips & Tricks Series How to register your company How to see Email Sender's Company and Logo in Your Gmail How to Generate sitemap of a website How to protect a website from Spam on WordPress Quick way to identify whether the website is Mobile optimized How to identify registration data of website How to identify duplicate content from the web How to create google alerts How to find the age of the domin How to check if the website server is down How to create text notes thatwill self destruct after being read How to send google search information to your friends How to find webhost of any website Discover new sites that are similar to what you like alredy How to easily highlight the important parts of a web page How to share you email online without worrying about spam How to get compute level answers without searching The easiest way to setup email reminders How to find the original URL tht's hiding behind a short URL How to corrupt a file you shared online How to create a throwaway email How to check if your email account has been compromised Module 03: SEO (Search Engine Optimisation) How to register website on Google search console How to Optimize your website homepage How to add a sitemap on google search How to shortlist targeted keyword list in google keyword planner How to set international targeting on google search How to remove a URL from google search engine How to identify competitors keyword How to leverage top sites to get on google search results Discover powerful data analytics to mesure SEO performance How to do keyword research How to write perfect title tags for search engines How to optimise heading tags, external and internal links What are backlinks & how to get them How to write a perfect Meta description How to enhance speed & performance of your website Module 04: YouTube Youtube account setup Account optimization How to create & setup Youtube channel banner Youtube channel tags, thumbnails & custom thumbnails Analyse Youtube keyword research Youtube SEO techniques What are Youtube cards & how does it work How to optimise comments & reply them in bulk How to grow your channel with competitor Analysis How to manage multiple YouTube accounts A simple yet powerful trick to increase your subscribers list Youtube Paid Advertising How to monetise your YouTube channel Module 05: Google Adwords What are Google Ads & how does it work Account setup Competitors analysis Campaign types & how to select the right campaign Bids & Budgets How to target the right audience Google Ads advance campaign settings Choosing the right keywords How to write ads that gets more clicks Module 06: Google Analytics How to install tracking code on your website How to add filters & remove internal traffic How to track paid campaigns How to look and analyse different segment data How to configure goals in google analysics How to link google Adwords account How to manage multiple analytics accounts How to remove spam traffic Module 07: Email Marketing How to install signup or popup forms on the website How to collect email address without a wbsite How to create a 'Hook' to your signup forms Discover the psychology behind acquiring more leads Email analytics And Much More..... Module 08: LinkedIn How to increase your connections in no time Secret of LinkedIn InMails Discover the best ways to use Linkedin Groups How to setup a company page on Linkedin How to increase traffic to your website using Linkedin blog Module 09: Twitter Twitter Account setup Knowing Twitter features Following twitter accounts Twitter profile optimisation How to get Twitter followers Posting first 5 tweets for engagement Leveraging Hashtags to increase your tweets visibility What are twitter polls & how do you use them A powerful trick to acquire customers on twitter How to get followers retweet your post How to embed a twitter button to your website or post Twitter analytics Module 10: Facebook Set your Facebook page Facebook Icon, cover image & description How to get your first page likes Discover how to increase your page likes How to manage multiple Facebook page Facebook comments Leveraging Facebook groups Facebook Autoposting Run a competition Facebook Ads How to get best out of Facebook And Much More..... Module 11: Instagram How to set up an Instagram business profile Set up Instagram bio & profile image Leveraging Instagram accounts A simple way to create free content on Instagram Secret of hashtags on Instagram Reposting Instagram App How to get genuine Instagram followers Discover how to grow your business through Instagram stories How to get your posts reposted on Instagram by influencers Module 12: Mobile App How to discover the estimated size of your market Discover the best ways to promote your app App installs via Facebook Ads App installs via Google Ads How to make money from your app How to optimise your App store listing? Discover growth hacking techniques for App downloads Techniques to get to the top of App store ranking And Much More..... Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Digital Marketing bundle. Requirements This Digital Marketing course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Digital Marketing) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The de.livery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost
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2 QLS Endorsed Courses | CPD Certified | Free PDF & Hard Copy QLS Certificates | 180 CPD Points | Lifetime Access
Duration 2 Days 12 CPD hours This course is intended for This training is ideally suited for data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities. It will also benefit system administrators and data engineers who wish to harness Elastic Stack's functionalities for efficient system logging, monitoring, and robust data visualization. With a focus on practical application, this course is perfect for those aspiring to solve complex data challenges in real-time environments across diverse industry verticals. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll explore: New features and updates introduced in Elastic Stack 7.0 Fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana Useful tips for using Elastic Cloud and deploying Elastic Stack in production environments How to install and configure an Elasticsearch architecture How to solve the full-text search problem with Elasticsearch Powerful analytics capabilities through aggregations using Elasticsearch How to build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis How to create interactive dashboards for effective storytelling with your data using Kibana How to secure, monitor and use Elastic Stack's alerting and reporting capabilities The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. Geared for experienced data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities, Working with Elasticsearch will explore how to use Elastic Stack and Elasticsearch efficiently to build powerful real-time data processing applications. Throughout the two-day hands-on course, you?ll explore the power of this robust toolset that enables advanced distributed search, analytics, logging, and visualization of data, enabled by new features in Elastic Stack 7.0. You?ll delve into the core functionalities of Elastic Stack, understanding the role of each component in constructing potent real-time data processing applications. You?ll gain proficiency in Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for compelling data visualization. You?ll also explore the art of crafting custom plugins using Kibana and Beats, and familiarize yourself with Elastic X-Pack, a vital extension for effective security and monitoring. The course also covers essentials like Elasticsearch architecture, solving full-text search problems, data pipeline building, and creating interactive Kibana dashboards. Learn how to deploy Elastic Stack in production environments and explore the powerful analytics capabilities offered through Elasticsearch aggregations. The course will also touch upon securing, monitoring, and utilizing Elastic Stack's alerting and reporting capabilities. Hands-on labs, captivating demonstrations, and interactive group activities enrich your learning journey throughout the course. Introducing Elastic Stack What is Elasticsearch, and why use it? Exploring the components of the Elastic Stack Use cases of Elastic Stack Downloading and installing Getting Started with Elasticsearch Using the Kibana Console UI Core concepts of Elasticsearch CRUD operations Creating indexes and taking control of mapping REST API overview Searching - What is Relevant The basics of text analysis Searching from structured data Searching from the full text Writing compound queries Modeling relationships Analytics with Elasticsearch The basics of aggregations Preparing data for analysis Metric aggregations Bucket aggregations Pipeline aggregations Substantial Lab and Case Study Analyzing Log Data Log analysis challenges Using Logstash The Logstash architecture Overview of Logstash plugins Ingest node Visualizing Data with Kibana Downloading and installing Kibana Preparing data Kibana UI Timelion Using plugins
Learn to effectively monitor the performance, health, and availability of Azure Services and your cloud resources
Duration 2 Days 12 CPD hours This course is intended for Data Modelers Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Dynamic Cubes Define and differentiate Dynamic Cubes Dynamic Cubes characteristics Examine Dynamic Cube requirements Examine Dynamic Cube components Examine high level architecture IBM Cognos Dynamic Query Review Dimensional Data Structures Dynamic Cubes caching Create & Design a Dynamic Cube Explore the IBM Cognos Cube Designer Review the cube development process Examine the Automatic Cube Generation Manual development overview Create dimensions Model the cube Best practice for effective modeling Deploy & Configure a Dynamic Cube Deploy a cube Explore the Estimate Hardware Requirements Identify cube management tasks Examine Query Service administration Explore Dynamic Cube properties Schedule cube actions Use the DCAdmin comment line tool Advanced Dynamic Cube Modelling Examine advanced modeling concepts Explore modeling caveats Calculated measures and members Model Relative Time Explore the Current Period property Define period aggregation rules for measures Advanced Features of Cube Designer Examine multilingual support Examine ragged hierarchies and padding members Define Parent-Child Dimensions Refresh Metadata Import Framework Manager packages Filter measures and dimensions Optimize Performance with Aggregates Identify aggregates and aggregate tables In-memory aggregates Use Aggregate Advisor to identify aggregates User defined in-memory aggregates Optimize In-Memory Aggregates automatically Aggregate Advisor recommendations Monitor Dynamic Cube performance Model aggregates (automatically vs manually) Use Slicers to define aggregation partitions Define Security Overview of Dynamic Cube security Identify security filters The Security process - Three steps Examine security scope Identify scope rules Identify roles Capabilities and access permissions Cube security deep dive Model a Virtual Cube Explore virtual cubes Create the virtual cube Explore virtual cube objects Examine virtual measures and calculated members Currency conversion using virtual cubes Security on virtual cubes Introduction to IBM Cognos Analytics Define IBM Cognos Analytics Redefined Business Intelligence Self-service Navigate to content in IBM Cognos Analytics Interact with the user interface Model data with IBM Cognos Analytics IBM Cognos Analytics components Create reports Perform self-service with analysis and Dashboards IBM Cognos Analytics architecture (high level) IBM Cognos Analytics security Package / data source relationship Create Data modules Upload files Additional course details: Nexus Humans B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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 B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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.
Embark on a journey to become a proficient Business Intelligence Analyst with the comprehensive course 'The Business Intelligence Analyst.' Delve into the world of data-driven decision-making, exploring the core concepts of Business Intelligence (BI), dashboard presentation systems, data mining techniques, and the vital role of data warehouses. Equip yourself with the skills to develop effective KPIs and design impactful dashboards for informed business insights. Learning Outcomes: Grasp the fundamental concepts of Business Intelligence and its significance in modern enterprises. Comprehend the decision-making process and the need for IT systems in supporting business choices. Explore the architecture and components of data warehouses, vital for data organization. Understand the intricacies of dashboard presentation systems and their varied applications. Identify different types of charts used in dashboards and their role in data visualization. Evaluate good dashboard design principles and implement Balanced Scorecard (BSC) strategies. Learn the basics of data mining, including classification, clustering, and association rules. Gain insights into real-world data mining applications across industries, such as banking and CRM. Why buy this The Business Intelligence Analyst Course? 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 The Business Intelligence Analyst Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This The Business Intelligence Analyst Course does not require you to have any prior qualifications or experience. You can just enrol and start learning. Aspiring Business Intelligence Analysts and Data Professionals. Individuals interested in leveraging data for strategic decision-making. Managers and Executives seeking to enhance business insights and performance. IT and Software Professionals exploring the field of Business Intelligence. Prerequisites This The Business Intelligence Analyst 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. Career path Business Intelligence Analyst - $65,000 to $95,000/year. Data Analyst - $60,000 to $90,000/year. Data Scientist - $80,000 to $120,000/year. BI Consultant - $70,000 to $110,000/year. Analytics Manager - $90,000 to $130,000/year Course Curriculum The Business Intelligence Analyst Course Module 01: What is Business Intelligence? 00:05:00 Module 02: Starting Case in understanding BI needs in diff phase of business 00:07:00 Module 03: Decision Making Process and Need of IT systems 00:20:00 Module 04: Problem Structure and Decision Support System 00:11:00 Module 05: Introduction to BI Applications 00:18:00 Module 06: Dashboard presentation systems 00:07:00 Module 07: Different Types of Charts used in 131 Dashboards 00:30:00 Module 08: Good Dashboard and BSC 00:13:00 Module 09: Examples of Bad Dashboards 1 00:07:00 Module 10: Examples of Bad Dashboards 2 00:01:00 Module 11: Process of KPI Development 00:26:00 Module 12: Overview of Data warehouse 00:08:00 Module 13: More explaining of data warehouse and steps in processing 00:09:00 Module 14: Data Warehouse Architecture -Tiers 00:18:00 Module 15: Data Warehouse - components 00:15:00 Module 16: Approach to develop data structure and Models of database 00:16:00 Module 17: Basics of Data Mining - Meaning 00:35:00 Module 18: Basics of Data Mining - Stages of DM 00:25:00 Module 19: Data Mining Technique - Classification 00:07:00 Module 20: Data mining - Clustering 00:02:00 Module 21: Data Mining - Association Rules 00:05:00 Module 22: Data Mining Applications - Banking 00:03:00 Module 23: Data Mining Applications - CRM 00:04:00 Module 24: Data Mining Applications - other industries 00:04:00 Assignment Assignment - The Business Intelligence Analyst Course 00:00:00
Dive into the world of Sports Management with our comprehensive course designed to equip you with the skills necessary for effective sports organization leadership. From legal aspects and ethical considerations to financial and strategic management, this course covers all crucial areas to prepare you for success in the dynamic field of sports. Enhance your expertise and lead sports entities with confidence and competence. Learning Outcomes Grasp foundational concepts in Sports Management. Uphold ethical standards within sports organizations. Lead and manage sports teams effectively. Operate and optimize sports facilities. Manage financial operations specific to sports entities. Utilize analytics to improve team performance and strategies. Understand and enhance athlete performance. Course Curriculum Module 01: Introduction to Sports Management Overview of the Sports Industry: Explore the scope, significance, and basic principles of Sports Management. Module 02: Law in Sports Legal Aspects of Sports: Understand the legal issues and regulations that impact sports organizations and activities. Module 03: Ethics in Sports Ethical Considerations: Discuss ethical challenges and standards in sports management and competition. Module 04: Leadership and Team Management in Sports Effective Leadership Practices: Learn leadership theories and practices applicable to managing sports teams and organizations. Module 05: Sports Facility Management Operational Management: Strategies for the efficient operation, scheduling, and maintenance of sports facilities. Module 06: Financial Management in Sports Economics and Budgeting: Cover financial principles, budgeting processes, and economic impact analysis in sports. Module 07: Sports Analytics in the Sports Management Data-Driven Decision Making: Employ sports analytics to inform decisions and improve organizational strategies. Module 08: Athlete Performance Maximizing Athlete Potential: Techniques and strategies for enhancing athlete training and performance metrics. Module 09: Ethnography in Sports Management Cultural Insights: Utilize ethnographic methods to study the cultural and social aspects of sports communities. Module 10: Strategic Sports Management Long-Term Planning: Develop strategic plans that ensure growth, sustainability, and competitive advantage in sports organizations.
The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.