1719 Analytics courses in London delivered Online

Overview of Virtual Interviewing for HR Join our Virtual Interviewing for HR course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Virtual Interviewing for HR course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Virtual Interviewing for HR course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Virtual Interviewing for HR Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Virtual Interviewing for HR. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online — Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion – Digital / PDF Certificate After completing the Virtual Interviewing for HR course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99. Certificate of Completion – Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Virtual Interviewing for HR is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education. Requirements You don’t need any educational qualification or experience to enrol in the Virtual Interviewing for HR course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Virtual Interviewing for HR Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01: Introduction Jenn Flaa Bio 00:01:00 Welcome Seeker 00:01:00 Before We Begin 00:01:00 Bad RECRUITER Example Before for Recruiter 00:02:00 Module 02: Behave Professionally on Video Your Own Goal Seeker 00:01:00 Where Do I Look 00:02:00 How to Convey Confidence 00:02:00 How to Convey Power 00:02:00 First Impression Recruiter 00:01:00 What to Wear - Ladies 00:02:00 What to Wear - Men 00:01:00 Should I Wear Makeup? 00:02:00 Do Men Wear Makeup? 00:02:00 Your Hair on Video 00:01:00 What's Behind You 00:01:00 Good Background 00:01:00 How to Sit Confidently on Video 00:02:00 What To Do With Hands 00:01:00 Glare in Your Glasses 00:01:00 Practice Tips Recruiter 00:02:00 Before Interview Recruiter Explained 00:01:00 Lab 2 Recruiter 00:01:00 Module 03: During the Interview Why Video Interviews Are Popular 00:01:00 When to Schedule the Interview 00:01:00 What to Expect 00:02:00 Distractions 00:02:00 Pulling Focus Away from You 00:01:00 How in Person & Video Interviews Differ 00:03:00 How to Start & End Your Video Interview 00:01:00 Ending the Interview 00:01:00 Managing Time 00:01:00 #1 Pitfall 00:03:00 Module 04: Handling Video Fear and Nerves Fear of Being Seen & Revealing Yourself 00:01:00 Un-Nerving Yourself 00:02:00 Grounding Meditation 00:09:00 Module 05: Things of Recruiter #1 Things You Must Do 00:03:00 How to Critique A Candidate on Video 00:05:00 Visual Bias 00:04:00 How to Deal With Bad Video and Distraction 00:03:00 Manipulating with Video 00:01:00 Lab 5 Visual Bias 00:03:00 Module 06: Your Setup and Equipment Do I Need to Buy Equipment for This Interview? 00:01:00 Equipment Experiment - Easy, Affordable Setup 00:06:00 Upgraded Camera & Mic 00:04:00 What's On My Desk During Video Interviews? 00:01:00 Jenn's Office Setup with Ambient Light for Video Interviews 00:01:00 Jenn's Office Setup with Full Lighting and White Backdrop 00:01:00 Module 07: Your Introduction Video Should I Use a Script? 00:02:00 #1 Way to Bore Your Viewer 00:01:00 Video Check List Animated 00:01:00 Module 08: Bonus Tips Before The Video Interview 00:01:00 What If You Have an Accent? 00:01:00 What What Recruiter 00:01:00 4 Tips 00:02:00 4 Things to Avoid 00:01:00 Preparing for Your Video Interview 00:01:00 Your Eyes Communicate Too 00:04:00 Water 00:01:00 What if I Have a BAD Interviewer? 00:01:00 Video Foul 00:02:00 After' Example 00:02:00 Module 09: Wrap Up Jenn's Last Thoughts 00:01:00 Last Labs 00:03:00 The 10% To Remember 00:01:00

A course by Sekhar Metla IT Industry Expert RequirementsNo programming experience needed. You will learn everything you need to knowNo software is required in advance of the course (all software used in the course is free)No pre-knowledge is required - you will learn from basic Audience Beginner JavaScript, Python and MSSQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Audience Beginner JavaScript, Python and MSSQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer

If you are planning for a thriving career in HR this course is perfect for you. It provides tools necessary to optimise your workforce and resources for success. Enrol now and take the first step towards a successful career in HR.

What you'll learn Learn the fundamentals of digital marketing and e-commerce to gain the skills needed to land an entry-level job Attract and engage customers through digital marketing channels like search and email Measure marketing performance through analytics and present insights Build e-commerce stores, analyze online performance, and grow customer loyalty

Accredited HR Training: Job Interviewing & Intuition Development Enhance your HR expertise with our Accredited HR Training: Job Interviewing & Intuition Development course. Master the art of deciphering job adverts, refine your job hunting methods, and develop intuitive skills to excel in HR-related interviews and assessments. Learning Outcomes: Interpret and understand job adverts in the HR context. Explore and apply effective job hunting methods in HR. Manage and overcome interview nervousness, specifically in HR scenarios. Master face-to-face interview etiquette essential for HR professionals. Gain an introduction to intuition development in HR. Understand and harness the Clairsenses for intuitive decision-making in HR. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Accredited HR Training: Job Interviewing & Intuition Development: Understanding Job Adverts: Learn to analyze job adverts critically to identify key HR requirements and candidate expectations. Job Hunting Methods: Explore various effective job hunting techniques tailored for HR professionals. Handling Interview Flutter: Acquire skills to handle nervousness and anxiety during HR interviews. Face-to-Face Interview Etiquette: Master the etiquettes and best practices for conducting face-to-face interviews in an HR setting. Introduction to Intuition: Understand the role of intuition in HR decision-making and how to develop it. The Clairsenses: Learn about the Clairsenses and their application in enhancing intuition for HR professionals.

New Excel Functions   Course Description   Ross Maynard     Description In the second half of 2020 Microsoft released a significant upgrade to the most used spreadsheet programme in the world. Microsoft Excel now offers the ability to handle dynamic arrays – functions that return a range of results that update as the source data changes. In this course, we discuss the power of dynamic arrays and introduce the new functions. The functions I am going to cover are: RANDARRAY- creating a table of random numbers or random dates UNIQUE – identifying the distinct items in a list SEQUENCE – listing numbers with a set interval SORT and SORTBY – new ways of dynamically sorting data FILTER – building the ability to filter data into formulae XLOOKUP – replacing VLOOKUP with greater flexibility IFS and SWITCH making it easier to construct IF statements The new CONCAT, and TEXTJOIN text functions   If you have an earlier version of Microsoft Excel then these functions will not be available to you and this course might not be for you. But if you do have a subscription to Office365 – either personally or through your work – I think you will find this course extremely useful.         Learning Outcomes Participants in this course will learn: What the new dynamic arrays feature in Microsoft Excel means How the new RANDARRAY function works How the new UNIQUE function works How the new SEQUENCE function works How the new SORT and SORTBY functions work How the new FILTER function works How the new XLOOKUP function can replace VLOOKUP How to build IF statements with the new IFS function How the new SWITCH function works How the new TEXTJOIN function can replace CONCATENATE and CONCAT How the new functions can be used in management reporting     Course Requirements There are no pre-course requirements.   Additional Resources Course Spreadsheet with the examples covered.       About Ross Ross Maynard is a Fellow of the Chartered Institute of Management Accountants in the UK. He is director of Ideas2Action Process Excellence Ltd and has 30 years’ experience as a process improvement consultant and facilitator. Ross is also a professional author of online training courses for accountants. Ross lives in Scotland with his wife, daughter and Cocker Spaniel

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for developers and administrators who intend to use HBase. Overview Skills learned on the course include:The use cases and usage occasions for HBase, Hadoop, and RDBMSUsing the HBase shell to directly manipulate HBase tablesDesigning optimal HBase schemas for efficient data storage and recoveryHow to connect to HBase using the Java API, configure the HBase cluster, and administer an HBase clusterBest practices for identifying and resolving performance bottlenecks Cloudera University?s four-day training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. Introduction to Hadoop & HBase What Is Big Data? Introducing Hadoop Hadoop Components What Is HBase? Why Use HBase? Strengths of HBase HBase in Production Weaknesses of HBase HBase Tables HBase Concepts HBase Table Fundamentals Thinking About Table Design The HBase Shell Creating Tables with the HBase Shell Working with Tables Working with Table Data HBase Architecture Fundamentals HBase Regions HBase Cluster Architecture HBase and HDFS Data Locality HBase Schema Design General Design Considerations Application-Centric Design Designing HBase Row Keys Other HBase Table Features Basic Data Access with the HBase API Options to Access HBase Data Creating and Deleting HBase Tables Retrieving Data with Get Retrieving Data with Scan Inserting and Updating Data Deleting Data More Advanced HBase API Features Filtering Scans Best Practices HBase Coprocessors HBase on the Cluster How HBase Uses HDFS Compactions and Splits HBase Reads & Writes How HBase Writes Data How HBase Reads Data Block Caches for Reading HBase Performance Tuning Column Family Considerations Schema Design Considerations Configuring for Caching Dealing with Time Series and Sequential Data Pre-Splitting Regions HBase Administration and Cluster Management HBase Daemons ZooKeeper Considerations HBase High Availability Using the HBase Balancer Fixing Tables with hbck HBase Security HBase Replication & Backup HBase Replication HBase Backup MapReduce and HBase Clusters Using Hive & Impala with HBase Using Hive and Impala with HBase Appendix A: Accessing Data with Python and Thrift Thrift Usage Working with Tables Getting and Putting Data Scanning Data Deleting Data Counters Filters Appendix B: OpenTSDB

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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 1 Days 6 CPD hours This course is intended for This basic course is for users and developers familiar with earlier versions of IBM InfoSphere Information Server or IBM InfoSphere MDM who want to learn about new features in V11.3 Overview The objectives of this course are as follows:- Learn about the new features of DataStage V11.3- Learn about the new features of Information Analyzer V11.3- Learn about the new features of Data Click V11.3- Learn about the new features of the Information Governance Catalog V11.3 This course is designed to introduce you to new features in data integration and governance in IBM InfoSphere Information Server V11.3 and IBM InfoSphere MDM V11.3. Outline Unit DS: New Features in IBM InfoSphere DataStage V11.3 Unit DC: New Features in IBM InfoSphere Data Click V11.3 Unit IA: New Features in IBM InfoSphere Information Analyzer V11.3 **All units are accompanied by hands-on lab exercises. Additional course details: Nexus Humans KM650 IBM What is New in IBM InfoSphere Data Integration and Governance? V11.3 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 KM650 IBM What is New in IBM InfoSphere Data Integration and Governance? V11.3 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 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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.