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24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Imagine you are soaring high above the earth, observing the world from a bird's-eye view. Remote Sensing in ArcGIS bundle could be your ticket to experiencing the world in a way you never have before. In the UK alone, the geospatial industry contributes over £11 billion to the economy. With 11 courses, this Remote Sensing in ArcGIS bundle is a one-stop shop for all your GIS and remote sensing needs. The bundle's crown jewel is the Remote Sensing in ArcGIS course, which is QLS-endorsed and comes with a hardcopy certificate. With courses covering everything from QGIS Cartography to Business Intelligence and Data Mining Diploma, this bundle is a comprehensive guide to all things remote sensing. You'll learn how to create smart maps in Python, perform spatial analysis in ArcGIS, and even use web scraping to map dam levels. The possibilities are endless! This Remote Sensing in ArcGIS Bundle Package includes: Course 01: Award in Remote Sensing in ArcGIS at QLS Level 2 10 Premium Additional CPD QS Accredited Courses - Course 01: QGIS Cartography Course 02: Spatial Data Visualization and Machine Learning in Python Level 4 Course 03: Create Smart Maps in Python and Leaflet Level 3 Course 04: Spatial Analysis in ArcGIS Course 05: ArcGIS for Hydrology Course 06: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 Course 07: Learn to Use Python for Spatial Analysis in ArcGIS Course 08: The Basics of ArcGIS for Hydrology Course 09: Python Data Science Course 10: Business Intelligence and Data Mining Diploma Don't miss this opportunity to expand your knowledge and skills in remote sensing. Enrol in the Remote Sensing in ArcGIS bundle today and take your first step towards exploring the world from a whole new perspective. Why Choose Us? Get a free QLS endorsed Certificate upon completion of Remote Sensing in ArcGIS Get a free student ID card with Remote Sensing in ArcGIS Training The Remote Sensing in ArcGIS is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Lifetime access to the Remote Sensing in ArcGIS course materials The Remote Sensing in ArcGIS comes with 24/7 tutor support After taking this Remote Sensing in ArcGIS bundle courses, you will be able to learn: Gain expertise in remote sensing and GIS technologies. Understand the fundamentals of spatial data analysis and visualisation. Learn to create maps using Python and Leaflet. Explore machine learning techniques for spatial data analysis. Get hands-on experience in ArcGIS for hydrology. Understand web scraping and mapping using Python and Leaflet. Develop proficiency in data mining, business intelligence, and Python data science. ***Curriculum breakdown *** Module 01: Remote sensing, satellite images, spectral bands introduction Module 02: Layers stacking satellite images Module 03: Georeferencing satellite images Module 04: Introduction to geoprocessing raster tools Module 05: Raster Analysis Functions Module 06: Georeferencing toposheet Module 07: Site suitability using weighted overlay analysis - part 1 Module 08: Site suitability using weighted overlay analysis - part 2 Module 09: Watershed Delineation from DEM Module 10: Unsupervised classification Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the Award in Remote Sensing in ArcGIS at QLS Level 2 exams. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Requirements This Remote Sensing in ArcGIS doesn't require prior experience and is suitable for diverse learners. Career path This Remote Sensing in ArcGIS bundle will be beneficial for anyone looking to pursue a career as: GIS Analyst Remote Sensing Specialist Spatial Data Scientist Geospatial Project Manager GIS Consultant GIS Team Leader Certificates Award in Remote Sensing in ArcGIS at QLS Level 2 Hard copy certificate - Included CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. CPD QS Accredited PDF Certificate Digital certificate - Included

24-Hour Flash Sale! Prices Reduced Like Never Before!! In an era where customer loyalty is gold, understanding Customer Relationship Management (CRM) becomes essential for any business aspiring to thrive in the long run. In the UK, studies have shown that acquiring a new customer can be up to five times more expensive than retaining an existing one, highlighting the significant role of CRM in business strategies today. For this, the CRM: Customer Relationship Management at QLS Level 4 course has been designed to equip you with the skills and knowledge needed to excel in this critical field. This course explores CRM, beginning with an introduction to its importance in contemporary business. You'll learn about the Fundamentals of CRM, Strategies for Effective Implementation, and the crucial role of Data Analysis in understanding Customer Behaviour. The curriculum also covers the technical aspects of Managing Databases and the skills needed to deepen Customer Relationships and handle complaints proficiently. Moreover, a forward-looking module on the future of CRM prepares you for emerging trends and technologies in the field. Learning Outcomes of CRM - Customer Relationship Management Course: Define and explain the core principles of Customer Relationship Management (CRM). Implement effective CRM strategies to enhance customer satisfaction. Utilise data analysis and databases to gain actionable customer insights. Develop techniques for deepening customer relationships and fostering loyalty. Employ best practices for handling customer complaints professionally. Explore emerging trends and the future of CRM technology. This program is your key to unlocking long-term customer loyalty and driving business growth. By understanding and applying the principles taught in this CRM course, you'll be well-equipped to contribute to your organisation's success and advance your career. Enrol today in this CRM - Customer Relationship Management at QLS Level 4 course and gain the knowledge and expertise to become a customer service prodigy! Why Prefer this Customer Relationship Management Course? Get a chance to order a QLS Endorsed Certificate upon completion of the course Get a Free Student ID Card with CRM Training The CRM course is Affordable and Simple to understand Lifetime Access to the CRM course materials The CRM course comes with 24/7 tutor support **** Course Curriculum **** Diploma in Customer Relationship Management at QLS Level 4 Module 01: Introduction to Customer Relationship Management (CRM) Module 02: Fundamentals Module 03: Strategies Module 04: Data Analysis Module 05: Databases Module 06: Deepening Customer Relationship Module 07: Handling Customer Complaints Module 08: Future Assessment Process Once you have completed all the modules on the CRM - Customer Relationship Management course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. After passing the exam, you will be able to request a certificate with additional cost that has been endorsed by the Quality Licence Scheme. CPD 120 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 course. This course is ideal for: Marketing professionals Sales executives Customer service staff CRM enthusiasts Requirements You will not need any prior background or expertise to enrol in this CRM Course. Career path After completing this course, you are to start your career or begin the next phase of your career. CRM Manager - £35,000 to £60,000 Customer Service Manager - £30,000 to £50,000 Sales Manager - £32,000 to £70,000 CRM Systems Administrator - £25,000 to £40,000 Certificates CPD Accredited Certificate Digital certificate - £12.99 Diploma in Customer Relationship Management at QLS Level 4 Hard copy certificate - £99 After successfully completing the Diploma in Customer Relationship Management 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 CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

Customer relationship management helps in customer retention. It is essential in every business for increased profits. Set your business for higher productivity and efficiency with the Customer Relationship Management course. Effective CRM implementation can improve customer relationships, attract new prospective customers, and win back former customers. This Customer Relationship Management Course will teach you about CRM fundamentals and equip you with the skills to build strong customer relationships. It will teach you how to create a CRM strategy for your business. You'll pick up valuable information on data analysis in CRM and how to deepen your customer relationships. The training will also enhance your ability to handle customer complaints and familiarise you with the emerging trends of CRM.  Learning Objectives Learn the CRM fundamentals Know about data analysis in CRM Enrich your knowledge of CRM database management Know how to deepen customer relationships Learn to handle customer complaints Who is this Course for? This Customer Relationship Management Course is ideal for aspiring professionals who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of CRM or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course. However, an eye for detail and a creative mind is essential. Entry Requirement Anyone interested in learning more about this subject should take this Customer Relationship Management course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successful completion of the Customer Relationship Management Course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: CRM Analyst CRM Consultant CRM Developer CRM Executive CRM Manager CRM Specialist Course Curriculum Module 01: Introduction to Customer Relationship Management (CRM) Introduction to Customer Relationship Management (CRM) 00:22:00 Module 02: CRM Fundamentals CRM Fundamentals 00:24:00 Module 03: CRM Strategies CRM Strategies 00:33:00 Module 04: Data Analysis in CRM Data Analysis in CRM 00:28:00 Module 05: CRM Databases CRM Databases 00:21:00 Module 06: Deepening Customer Relationship Deepening Customer Relationship 00:23:00 Module 07: Handling Customer Complaints Handling Customer Complaints 00:22:00 Module 08: Future of CRM Future of CRM 00:25:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam. Overview Blend data multiple sources. Join data. Access data in PDFs. Refine visualizations with sets and parameters. Analyze data with calculations. Visualize data with advanced calculations. Perform statistical analysis and forecasting. Create geographic visualizations. Get answers with Ask and Explain The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage. Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients. Prerequisites Tableau Desktop: Part 1 Lesson 1: Blending Data from Multiple Sources Topic A: Blend Data Topic B: Refine Blends to Visualize Key Information Lesson 2: Joining Data Topic A: Create Joins Topic B: Troubleshoot Joins Topic C: Merge Data with Unions Lesson 3: Accessing Data in PDFs Topic A: Connect to PDFs Topic B: Clean Up and Organize PDF Data Lesson 4: Refining Visualizations with Sets and Parameters Topic A: Create Sets Topic B: Analyze Data with Sets Topic C: Apply Parameters to Refine Visualizations Topic D: Create Advanced Visualizations Lesson 5: Analyzing Data with Calculations Topic A: Create Calculated Fields to Analyze Data Topic B: Manipulate Data with Functions Topic C: Analyze Data with Table Calculations Lesson 6: Visualizing Data with Advanced Calculations Topic A: Create Groups and Bins with Calculations Topic B: Analyze Data with LOD Expressions Lesson 7: Performing Statistical Analysis and Forecasting Topic A: Perform Statistical Analysis Topic B: Forecast Data Trends Lesson 8: Creating Geographic Visualizations Topic A: Create Maps Topic B: Customize Mapped Data Lesson 9: Getting Answers with Ask and Explain Topic A: Ask Data Topic B: Explain Data Additional course details: Nexus Humans Tableau Desktop - Part 2 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 Tableau Desktop - Part 2 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.

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - Identifying Basic Concepts of Data Schemas Identify Relational and Non-Relational Databases Understand the Way We Use Tables, Primary Keys, and Normalization 2 - Understanding Different Data Systems Describe Types of Data Processing and Storage Systems Explain How Data Changes 3 - Understanding Types and Characteristics of Data Understand Types of Data Break Down the Field Data Types 4 - Comparing and Contrasting Different Data Structures, Formats, and Markup Languages Differentiate between Structured Data and Unstructured Data Recognize Different File Formats Understand the Different Code Languages Used for Data 5 - Explaining Data Integration and Collection Methods Understand the Processes of Extracting, Transforming, and Loading Data Explain API/Web Scraping and Other Collection Methods Collect and Use Public and Publicly-Available Data Use and Collect Survey Data 6 - Identifying Common Reasons for Cleansing and Profiling Data Learn to Profile Data Address Redundant, Duplicated, and Unnecessary Data Work with Missing Value Address Invalid Data Convert Data to Meet Specifications 7 - Executing Different Data Manipulation Techniques Manipulate Field Data and Create Variables Transpose and Append Data Query Data 8 - Explaining Common Techniques for Data Manipulation and Optimization Use Functions to Manipulate Data Use Common Techniques for Query Optimization 9 - Applying Descriptive Statistical Methods Use Measures of Central Tendency Use Measures of Dispersion Use Frequency and Percentages 10 - Describing Key Analysis Techniques Get Started with Analysis Recognize Types of Analysis 11 - Understanding the Use of Different Statistical Methods Understand the Importance of Statistical Tests Break Down the Hypothesis Test Understand Tests and Methods to Determine Relationships Between Variables 12 - Using the Appropriate Type of Visualization Use Basic Visuals Build Advanced Visuals Build Maps with Geographical Data Use Visuals to Tell a Story 13 - Expressing Business Requirements in a Report Format Consider Audience Needs When Developing a Report Describe Data Source Considerations For Reporting Describe Considerations for Delivering Reports and Dashboards Develop Reports or Dashboards Understand Ways to Sort and Filter Data 14 - Designing Components for Reports and Dashboards Design Elements for Reports and Dashboards Utilize Standard Elements Creating a Narrative and Other Written Elements Understand Deployment Considerations 15 - Understand Deployment Considerations Understand How Updates and Timing Affect Reporting Differentiate Between Types of Reports 16 - Summarizing the Importance of Data Governance Define Data Governance Understand Access Requirements and Policies Understand Security Requirements Understand Entity Relationship Requirements 17 - Applying Quality Control to Data Describe Characteristics, Rules, and Metrics of Data Quality Identify Reasons to Quality Check Data and Methods of Data Validation 18 - Explaining Master Data Management Concepts Explain the Basics of Master Data Management Describe Master Data Management Processes Additional course details: Nexus Humans CompTIA Data Plus (DA0-001) 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 CompTIA Data Plus (DA0-001) 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.

Learn to build an HR Dashboard using Excel with our comprehensive course. From data introduction to designing index and tabs, analyze employee data effectively using pivot tables and charts. Ideal for HR professionals and analysts looking to create insightful dashboards for HR metrics and analysis.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step