231 Mining courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, and Business Process Owners/Team Leads/Power Users. Overview This course will prepare you to:Describe tasks performed by a typical SAP Access Control userDiscuss Harmonization topics as they relate to SAP Access ControlExplain how SAP GRC helps you to address business challengesIdentify authorization risks in typical business processesDescribe the Segregation of Duties Risk Management ProcessDescribe and configure functionality and features for SAP Access Control 10.1Use the SAP Access Control 10.1 application to analyze and manage risk, design and manage roles, and provision and manage usersDescribe the SAP Access Control 10.1 architecture and landscape, SAP Access Control Repository, and Object Level SecurityDescribe the Periodic Access Review processPlan for and manage emergency accessDiscuss the reporting frameworkConfigure workflows, including multi-stage multi-path (MSMP) workflows and BRF+Describe how the different applications of the SAP GRC Solution integrate with each otherDiscuss key steps in the SAP Access Control implementation process In this course, students gain hands-on configuration and implementation experience of SAP Access Control 10.1, as well as important concepts they will need to know in order to prepare for implementation and ongoing access risk prevention. Introduction to SAP Access Control Discussing Business Challenges and Solutions Using SAP Access Control Architecture, Security, and Authorizations Describing the System Architecture Describing Security and Authorizations Shared Configuration Settings Configuring Shared GRC Settings Configuring Shared SAP Access Control Settings Authorization Risks and the Segregation of Duties (SoD) Management Process Identifying Authorization Risks Managing Risk by Segregating Duties SAP Access Control Repository Synchronizing Objects into the Repository Scheduling and Viewing Background Jobs Risk Analysis Maintaining Shared Master Data Configuring and Maintaining the Rule Set Configuring and Using Audit Trail Tracking Using the Risk Analysis Framework Remediating Risks Mitigating Risks Mitigating Multiple Risks at One Time Business Rule Framework Creating Rules in the Business Rule Framework (BRF) Defining Business Rules Multi-Stage, Multi-Path (MSMP) Workflow Describing Multi-Stage, Multi-Path (MSMP) Workflow Maintaining MSMP Workflow Building MSMP Workflow User Provisioning Configuring User Provisioning Settings Configuring Access Request Forms Requesting Access Preparing Roles and Owner Data for MSMP Workflow Creating Simplified Access Requests Reviewing Search Request Results SAP Fiori User Experience (UX) for GRC Describing SAP Fiori UX Role Design and Management Configuring Role Management Configuring Role Methodology Configuring Role Search Attributes Planning for Technical Role Definition Planning for Business Role Definition Consolidating Roles Through Role Mining Performing Role Mass Maintenance Operations Emergency Access Management Describing Emergency Access Management Planning for Emergency Access Monitoring Emergency Access Periodic Access Review Process Planning Periodic Review Monitoring Periodic Review Reports and Custom Fields Use the Reporting Framework SAP Access Control Implementation Using the SAP Access Control Implementation Process Designing the SAP Access Control Solution Planning Upgrade and Migration Configuring SAP Access Control Implementing the SAP Access Control solution Optimizing the SAP Access Control Suite Additional course details: Nexus Humans GRC300 SAP Access Control Implementation and Configuration 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 GRC300 SAP Access Control Implementation and Configuration 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.

Course Overview: Geology, the study of Earth's structure, history, and processes, is a field of immense significance and awe-inspiring discoveries. If you're seeking a comprehensive understanding of our planet's fascinating geologic features and want to explore the secrets hidden beneath its surface, the Ultimate Geology Course is your pathway to mastery. With an extensive curriculum meticulously designed by experts in the field, this course will take you on an enlightening journey through the captivating realms of geology. Geology is not just an academic pursuit; it's a subject that holds immense practical importance. According to recent data, the demand for skilled geologists is rising, with a projected job growth of 14% in the next decade. By delving into the Ultimate Geology Course, you will equip yourself with the knowledge and skills necessary to unlock a world of opportunities in various industries. Key Features of the Course: CPD certificate 24/7 Learning Assistance Interesting learning materials Who is This Course For? The Ultimate Geology Course is ideal for aspiring geologists, students, professionals seeking a career change, or anyone interested in understanding the Earth's dynamic processes. No prior knowledge or experience in geology is required, making this course accessible to beginners and enthusiasts alike. What You Will Learn: In this Ultimate Geology Course course, you will embark on an incredible journey through many aspects of geology. From the solar system's formation to the geological processes shaping our landscapes, you will gain a comprehensive understanding of the Earth's internal structure, plate tectonics, erosion, sedimentation, volcanoes, and much more. After studying the scientific method and the principles of relative and numerical dating, you will unlock the secrets of Earth's vast history, exploring the evolution of life through fossils and the geologic time scale. Moreover, you will gain valuable skills in mineral identification, rock classification, and geological mapping, empowering you to analyse and interpret Earth's complex features. Why Enrol in This Course: Geology is a highly sought-after field, and by acquiring comprehensive knowledge in this domain, you will enhance employability and open doors to diverse career paths. This Ultimate Geology Course has garnered rave reviews worldwide. Benefit from our instructors' collective wisdom and expertise, ensuring an enriching learning experience. The course content is regularly updated to incorporate the latest advancements and discoveries in geology. Requirements: There are no specific prerequisites to enrol in the Ultimate Geology Course. A passion for understanding the Earth's mysteries and a curious mindset are all you need to embark on this transformative learning journey. Career Path: Completing the Ultimate Geology Course is helpful for many exciting career opportunities. Here are seven course-related professions, along with their average annual salaries in the UK: Geologist - £45,000 Environmental Consultant - £35,000 Geotechnical Engineer - £40,000 Hydrologist - £42,000 Mining Engineer - £50,000 Palaeontology - £38,000 Volcanologist - £47,000 Certification: Upon completing the Ultimate Geology Course, you will receive a CPD certificate, recognised and respected globally. This certificate will validate your newfound expertise in geology and enhance your professional credibility in the field. Course Curriculum 17 sections • 80 lectures • 09:35:00 total length •Course Promo: 00:03:00 •Geology: 00:02:00 •Importance: 00:04:00 •Development: 00:09:00 •The Scientific Method: 00:05:00 •Solar System - OverView: 00:06:00 •The Sun: 00:07:00 •The Moon: 00:06:00 •Terrestrial Planets: 00:10:00 •Jovian Planets: 00:12:00 •Other Solar Bodies: 00:05:00 •Geologic Time - OverView: 00:02:00 •Relative Dating: 00:11:00 •Numerical Dating: 00:07:00 •Fossils: 00:11:00 •The Geologic Time Scale: 00:05:00 •Earth's Internal Structure: 00:11:00 •Exploration: 00:16:00 •Continental Drift: 00:10:00 •Modern Evidence: 00:11:00 •Earth's Major Plates: 00:13:00 •Motion Drivers: 00:05:00 •Motion Measurement: 00:04:00 •Continental Margins: 00:05:00 •Ocean Floor Features: 00:05:00 •Oceanic Crust Layers: 00:02:00 •Destruction of Oceanic Crust: 00:02:00 •Features of Subduction Zones: 00:03:00 •Mountains: 00:07:00 •Topography: 00:07:00 •Weathering - OverView: 00:04:00 •Mechanical Weathering: 00:08:00 •Chemical Weathering: 00:07:00 •Spheroidal Weathering: 00:02:00 •Soil: 00:11:00 •Deserts: 00:08:00 •Wind Erosion: 00:05:00 •Wind as a Transporter: 00:05:00 •Wind Deposits: 00:08:00 •Atom: 00:06:00 •Periodic Table: 00:05:00 •Bond-s: 00:07:00 •Minerals: 00:03:00 •Formation: 00:03:00 •Mineral Identification: 00:09:00 •Crystalline Habits: 00:35:00 •Sedimentary Rocks - OverView: 00:04:00 •Detrital Sedimentary Rocks: 00:03:00 •Grain History: 00:07:00 •Chemical Sedimentary Rocks: 00:04:00 •Coal: 00:06:00 •Sedimentary Rocks Identification Table: 00:05:00 •Sediments to Sedimentary Rocks: 00:05:00 •Sedimentary Structures: 00:06:00 •Metamorphism: 00:08:00 •Metamorphic Rocks: 00:04:00 •Metamorphic Drivers: 00:06:00 •Metamorphic Texture: 00:08:00 •Magma: 00:12:00 •Igneous Texture: 00:09:00 •Deformation: 00:09:00 •Deformation Stages: 00:08:00 •Folds: 00:08:00 •Faults & Joints: 00:14:00 •Volcanoes - OverView: 00:04:00 •Volcanic Eruptions: 00:07:00 •Extruded Material: 00:14:00 •Volcanic Landforms: 00:09:00 •Volcanic Hazards: 00:08:00 •Mass Wasting - OverView: 00:05:00 •Types: 00:07:00 •Triggers: 00:04:00 •Surface Water - Overview: 00:05:00 •Hydrologic Cycle: 00:08:00 •Running Water: 00:12:00 •Flow: 00:08:00 •Channels: 00:10:00 •Depositional Landforms: 00:07:00 •Floods: 00:09:00 •Resource - Ultimate Geology Course: 00:00:00

Flat Discount: 52% OFF! QLS Endorsed| 40 Courses Diploma| 400 CPD Points| Free PDF+Transcript Certificate| Lifetime Access

Description: Using Social Media for business is a must nowadays because of the growing popularity of the social media. Social Media plays a vital role in marketing. Social Media Examiner Online Magazine reveals that 86% of marketers in 2013 considered social media to be essential for their business where 49% of marketers choose Facebook as their primary social media platform. In An Introduction to Social Media for Business - Complete Video Course, you will learn the tips and techniques for using Social media for your Business. The course covers all most all the social Medias including Facebook, Twitter, Pinterest, and LinkedIn. Apart from these, the course will teach you Google Plus advertising and networking. Finally, the course shows you the procedures for running and managing a YouTube channel. To sum up, the course will help you to be an expert user of Social media for business purposes. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? An Introduction to Social Media for Business - Complete Video Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our An Introduction to Social Media for Business - Complete Video Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Pinterest What is Pinterest? FREE 00:18:00 How to Create an Account 00:05:00 Putting a Pinterest Browser Button for Convenience 00:04:00 Connecting to Social Networks 00:14:00 Verifying Your Web Site 00:03:00 Setting Up Initial Business Account Profile 00:06:00 Creating Boards 00:17:00 Pinning Items That Interest You 00:06:00 Using Pins 00:12:00 Widgets 00:17:00 Exploring Types of Widgets 00:07:00 Adding a Pin It Widget to Your Site 00:04:00 Facebook How Facebook Works 00:30:00 Setting up Facebook Business Page 00:08:00 Adding Background Graphics and Uploading Pictures 00:14:00 Page Settings 00:07:00 Using Basic Facebook Controls 00:04:00 Posts that Engage Your Fans 00:18:00 Business Overview and Page Info 00:04:00 Invite Friends to Your Facebook Page 00:04:00 Call To Action Button 00:02:00 Viewing Your Notifications 00:02:00 Facebook Promotions 00:14:00 Managing Your Facebook 00:09:00 Twitter What You Need to Start with Twitter 00:15:00 How to Create Twitter Profile 00:09:00 How to Update Your Profile 00:05:00 Building Your Twitter Network 00:09:00 How and When to Tweet 00:08:00 Twitter Analytics 00:03:00 Google+ Advertising and Networking Offerings from Google 00:10:00 How to Create an Account 00:04:00 Privacy Settings 00:10:00 Adding Friends 00:02:00 Using Google+ 00:11:00 Posts 00:01:00 Creating an Ad With Google 00:08:00 Google Analytics 00:07:00 Google Analytics 00:04:00 Diagnose Landing Pages 00:03:00 LinkedIn The Potential of LinkedIn's Network 00:16:00 Creating a LinkedIn Account 00:11:00 Enhancing Careers with LinkedIn 00:10:00 Finding a Job with LinkedIn Job Boards 00:05:00 Be Identifiable 00:09:00 Connecting with Others 00:17:00 Creating a Post 00:02:00 Mining Your Contacts Networks 00:03:00 Staying in Touch with Your Connections 00:13:00 Creating a Linked Company Page 00:04:00 YouTube Channels Skills Needed for Interesting Video 00:14:00 Skills Needed for Interesting Video: The Story 00:06:00 Skills Needed for Interesting Video: The Story (Cont.) 00:02:00 Skills Needed for Interesting Video Planning 00:08:00 How to Manage Your YouTube Account 00:10:00 How to Create Your YouTube Account 00:07:00 How to Create a YouTube Channel 00:04:00 Browsing YouTube Channels 00:02:00 Video Manager 00:04:00 Creator Studio 00:06:00 Create Video 00:08:00 Mock Exam Mock Exam- An Introduction to Social Media for Business - Complete Video Course 00:20:00 Final Exam Final Exam- An Introduction to Social Media for Business - Complete Video Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

What you will learn from this course? Gain comprehensive knowledge about business intelligence Understand the core competencies and principles of business intelligence Explore the various areas of business intelligence Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert business intelligence analyst Course Highlights Course Type: Self-paced online course Duration: 1 to 2 hours Tutor Support: Full tutor support is included Customer Support: 24/7 customer support is available Introduction to Business Intelligence (BI) Course Master the skills you need to propel your career forward in business intelligence. This course will equip you with the essential knowledge and skillset that will make you a confident business intelligence analyst and take your career to the next level. This comprehensive business intelligence (BI) course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this business intelligence (BI) 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 business intelligence practice and equip you with the essential skills, confidence and competence to assist you in the business intelligence industry. You'll gain a solid understanding of the core competencies required to drive a successful career in business intelligence. 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 business intelligence analyst or for people who are aspiring to specialise in business intelligence. Enrol in this business intelligence (BI) 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 business intelligence (BI) 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 business intelligence 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 business intelligence (BI) 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 business intelligence (BI) 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 business intelligence (BI) 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. Study Plex Subscription Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you'll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team. Visit our subscriptions page for more details if you're interested. Why you should train with Study Plex? At Study Plex, you will have the chance to build social, technical and personal skills through a combination of extensive subjects tailored according to your interest. Along with receiving comprehensive knowledge and transferable skills, there are even more reasons o be involved with us, which include: Incredible Customer Support: We offer active customer service in the form of live chat, which you can access 24/7 Expert Tutor Support: You'll have access to our devoted and dedicated tutor support with all of our courses whenever you need it. Price Justified by Quality: We ensure that you will have the best experience possible for the price you are paying for the course. Money-back Guarantee: We provide a money-back guarantee if you are not satisfied with the course's quality. There is a 14-day time limit on this option (according to the terms and conditions). Instalment Facility: If your course costs more than £50, you can pay in three instalments using the instalment option. Satisfaction Guarantee: Our courses are designed to meet your demands and expectations by all means. 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 Introduction to Business Intelligence (BI) 00:16:00 Business Intelligence (BI) and Analytics 00:05:00 Business Reporting 00:16:00 Business Reporting Cont'd 00:16:00 Business Intelligence (BI) and Analytics 00:05:00 Process Mining 00:13:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Supplementary Resources Supplementary Resources - Introduction to Business Intelligence (BI) 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Duration 2.5 Days 15 CPD hours This course is intended for This course is intended for those with a basic understanding of Tableau who want to pursue mastery of the advanced features. Overview The goal of this course is to present essential Tableau concepts and its advanced functionalities to help better prepare and analyze data. This course will use Tableau Hyper, Tableau Prep and more. Getting Up to Speed ? a Review of the Basics Connecting Tableau to your data Connecting to Tableau Server Connecting to saved data sources Measure Names and Measure Values Three essential Tableau concepts Exporting data to other devices Summary All About Data ? Getting Your Data Ready Data mining and knowledge discovery process models CRISP?DM All About Data ? Joins, Blends, and Data Structures All About Data - Joins, Blends, and Data Structures Introduction to joins Introduction to complex joins Exercise: observing join culling Introduction to join calculations Introduction to spatial joins Introduction to unions Understanding data blending Order of operations No dimensions from a secondary source Introduction to scaffolding Introduction to data structures Exercise: adjusting the data structure for different questions Summary Table Calculations Table Calculations A definition and two questions Introduction to functions Directional and non-directional table calculations Application of functions Summary Level of Detail Calculations Level of Detail Calculations Building playgrounds Playground I: FIXED and EXCLUDE Playground II: INCLUDE Practical application Exercise: practical FIXED Exercise: practical INCLUDE Exercise: practical EXCLUDE Summary Beyond the Basic Chart Types Beyond the Basic Chart Types Improving popular visualizations Custom background images Tableau extensions Summary Mapping Mapping Extending Tableau's mapping capabilities without leaving Tableau Extending Tableau mapping with other technology Exercise: connecting to a WMS server Exploring the TMS file Exploring Mapbox Accessing different maps with a dashboard Creating custom polygons Converting shape files for Tableau Exercise: polygons for Texas Heatmaps Summary Tableau for Presentations Tableau for Presentations Getting the best images out of Tableau From Tableau to PowerPoint Embedding Tableau in PowerPoint Animating Tableau Story points and dashboards for Presentations Summary Visualization Best Practices and Dashboard Design Visualization Best Practices and Dashboard Design Visualization design theory Formatting rules Color rules Visualization type rules Compromises Keeping visualizations simple Dashboard design Dashboard layout Sheet selection Summary Advanced Analytics Advanced Analytics Self-service Analytics Use case ? Self-service Analytics Use case ? Geo-spatial Analytics Summary Improving Performance Improving Performance Understanding the performance-recording dashboard Exercise: exploring performance recording in Tableau desktop Performance-recording dashboard events Behind the scenes of the performance- recording dashboard Hardware and on-the-fly techniques Hardware considerations On-the-fly-techniques Single Data Source > Joining > Blending Three ways Tableau connects to data Using referential integrity when joining Advantages of blending Efficiently working with data sources Tuning data sources Working efficiently with large data sources Intelligent extracts Understanding the Tableau data extract Constructing an extract for optimal performance Exercise: summary aggregates for improved performance Optimizing extracts Exercise: materialized calculations Using filters wisely Extract filter performance Data source filter performance Context filters Dimension and measure filters Table-calculation filters Efficient calculations Boolean/Numbers > Date > String Additional performance considerations Avoid overcrowding a dashboard Fixing dashboard sizing Setting expectations Summary Additional course details: Nexus Humans Advanced Tableau 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 Advanced Tableau 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 complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R

This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.