1119 Statistics courses in Whetstone delivered Online

Basic Maths Online Course This comprehensive course is designed to help students of all ages and abilities improve their understanding and proficiency in basic mathematics. Whether you are struggling with basic concepts or looking to improve your problem-solving skills, this course has something for everyone.   Course Overview Focused on the essentials: This course covers the core concepts of basic mathematics, including arithmetic, algebra, geometry, and statistics. Adaptive learning: Our adaptive learning technology will help you identify your strengths and weaknesses and adjust the course content to meet your needs. Real-world examples: You will learn how to apply mathematical concepts to real-world problems and situations.   Key Topics Covered Arithmetic: You will learn the basics of arithmetic operations, including addition, subtraction, multiplication, and division. Algebra: You will learn how to solve equations and work with variables and expressions. Geometry: You will learn the basic concepts of geometry, including points, lines, angles, and shapes. Statistics: You will learn how to collect, analyze, and interpret data using statistical methods.   Course Benefits Improve your problem-solving skills: By working through real-world examples and exercises, you will develop your problem-solving skills and be able to apply mathematical concepts to real-world situations. Confidence in math: This course will help you build confidence in your mathematical abilities and give you the tools you need to succeed in your academic and professional pursuits. Flexibility: This course is fully online, so you can learn at your own pace and on your own schedule.   Video resources Introduction to basic math: embed video link Solving basic algebraic equations: embed video link Geometry basics: embed video link Statistics and data interpretation: embed video link   This course is perfect for students of all ages and abilities looking to improve their understanding and proficiency in basic mathematics. Enroll now and start your journey to becoming a math expert! Please note that the embed video links provided are just examples and not actual video links, you would need to provide the actual video links for the course.

***24 Hour Limited Time Flash Sale*** Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Immerse yourself in the world of Data Science, Machine Learning and Python with our exclusive bundle! Presenting eight thoughtfully curated courses, this bundle aims to enhance your understanding of intricate concepts. Within this collection, we proudly offer three QLS-endorsed courses: "2021 Data Science & Machine Learning with R from A-Z", "Excel Pivot Tables, Pivot Charts, Slicers, and Timelines", and "Machine Learning with Python", each complemented by a hardcopy certificate upon completion. Additionally, delve deeper with our five relevant CPD QS accredited courses. Explore Python Data Science with Numpy, Pandas, and Matplotlib. Uncover the secrets of R Programming for Data Science, enhance your statistical prowess with Statistics & Probability for Data Science & Machine Learning, and master spatial visualisation in Python. To top it all, there's a course on Google Data Studio for Data Analytics. Key Features of the Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: 2021 Data Science & Machine Learning with R from A-Z QLS Course 02: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Python Data Science with Numpy, Pandas and Matplotlib Course 02: R Programming for Data Science Course 03: Statistics & Probability for Data Science & Machine Learning Course 04: Spatial Data Visualisation and Machine Learning in Python Course 05: Google Data Studio: Data Analytics In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Master the usage of Excel Pivot Tables, Pivot Charts, Slicers, and Timelines. Develop proficiency in Machine Learning using Python. Acquire skills to manipulate data using Numpy, Pandas, and Matplotlib. Learn to code in R for Data Science applications. Understand the application of Statistics & Probability in Data Science & Machine Learning. Learn to create impactful data visualisations and analyse data using Google Data Studio. The "Data Science & Machine Learning, Excel Pivot & Machine Learning with Python" bundle is a comprehensive compilation designed to equip you with the theoretical knowledge necessary for the fast-evolving data-driven world. The three QLS-endorsed courses provide foundational understanding in Data Science, Machine Learning with R, Excel Pivot functionalities, and Machine Learning with Python, thereby setting a strong base. Furthermore, the five CPD QS accredited courses offer a deeper dive into the world of Data Science. Whether it is harnessing Python's power for data science tasks, exploring R programming, mastering statistical techniques, understanding spatial data visualisation in Python, or learning to navigate Google Data Studio for Data Analytics, this bundle has you covered. With this comprehensive learning experience, gain the theoretical insight needed to navigate and succeed in the dynamic field of data science. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in theoretical concepts of Data Science and Machine Learning. Professionals looking to enhance their knowledge in Excel Pivot Tables and Charts. Aspiring data scientists who want to learn Python and R programming for data science. Anyone seeking to understand data visualisation and analytics through Python and Google Data Studio. Career path Data Scientist: Leveraging data for actionable insights (£40,000 - £90,000 per annum). Machine Learning Engineer: Designing and implementing machine learning systems (£50,000 - £90,000 per annum). Excel Analyst: Using Excel for data analysis and visualisation (£30,000 - £60,000 per annum). Python Developer: Developing applications using Python (£40,000 - £80,000 per annum). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

This course provides basic introductory guidance to FinTech. You will be using an easy programming language R to learn some basic statistics in money management. You will also understand how to time the stock market and build tradeable factor-based algorithms from scratch. This course provides some of the most basic rules of thumb and intuition that every successful trader should know.

Linux engineer certification training course description LPIC-2 is the second certification in LPI's multi level professional certification program. This course teaches the skills necessary to pass the LPI 201 exam; the first of two LPIC-2 exams. Specifically, the course covers the administration of Linux systems in small to medium sized mixed networks. What will you learn Perform advanced administration tasks. Perform advanced file system administration. Linux engineer certification training course details Who will benefit: Linux administrators. Prerequisites: Linux system administration (LPIC-1) Duration 5 days Linux engineer certification fundamentals training course contents Part I The LPI 201 Exam Starting a System The Linux Boot Process, Firmware Startup, BIOS Startup, UEFI Startup, Linux Bootloaders, GRUB Legacy, GRUB 2, Alternative Bootloaders, Secure Bootloaders, Process Initialization, SysV Method, systemd Method, Upstart Method, System Recovery, Kernel Failures, Root Drive Failure. Maintaining the System Fluid Messaging, Static Messaging, System backups, Backup Strategies, Performing Backups, Installing Programs from Source, Obtaining and unpacking Installation Files, Compiling Programs, Resource Usage: Managing, measuring, predicting and troubleshooting. Mastering the Kernel What Is the Kernel? Kernel Features, Parts of the Kernel, Kernel Versions, Obtaining Source Code, Creating the Configuration File, Compiling and Installing the Kernel, Compiling and Installing Modules, Creating an Initial RAM Disk, Booting the New Kernel, Creating a Kernel Package, Maintaining the Kernel, Working with Module Files, Module Commands, Working with Hardware, Automatically Detecting Hardware, Troubleshooting the Kernel. Managing the Filesystem The Linux Filesystem, Filesystem Structures, Filesystem Types, Making Filesystems, Attaching Filesystems, Memory-Based Linux Filesystems, the Btrfs Filesystem, Btrfs Subvolumes, Btrfs Snapshots, Optical Filesystems, Swap Filesystems, Network-Based Filesystems, Auto-Mounting, Encrypted Filesystems, Maintaining Linux Filesystems, Adjusting a Filesystem, Checking and Repairing a Filesystem, SMART. Administering Advanced Storage Devices Configuring RAID, Implementing RAID on Linux, Managing a RAID Array, Adjusting Storage Devices, Looking at Drive Interface Concepts, Testing and Tuning Drives, Implementing iSCSI, Managing Logical Volumes, LVM, Creating Logical Volumes, Supporting Logical Volumes, Understanding the Device Mapper. Navigating Network Services Networking Basics, The Physical Layer, The Network Layer, The Transport Layer, The Application Layer, Configuring Network Features, Network Configuration Files, Graphical Tools, Command-Line Tools, Basic Network Troubleshooting, Checking the Log Files, the ARP Cache, Sending Test Packets, Testing Network Routes, Testing Client/Server Connectivity, Finding Host Information, Network Security, Advanced Network Troubleshooting, Viewing Open Network Connections, Viewing Network Statistics, Scanning the Network, Capturing Network Traffic.

Data science is quickly taking over all aspects of life, and a huge impact of this can be seen in the healthcare department. From medical imaging to genomics, we now leverage data to make better medical decisions. In this course, we will see how clinical trial data can be effectively managed using SAS.

Definition of Safeguarding Legislation & agreed ways of working Definition of Safeguarding Legislation & agreed ways of working Every child matters guidance Myths and statistics Effects on young people Leadership/worker skills Common indicators of abuse Reporting of abuse and potential abuse Barriers to reporting abuse Understanding the types of abuse Recognising acts, signs and symptoms of abuse Who is vulnerable / at risk The role of dignity in safeguarding Legislation and policies and procedure What to do should you have a concern Overview of prevent How to respond to an individual should they disclose a concern

This is focused on visible and invisible disabilities, aiming to enhance understanding and support. It covers awareness, statistics, harassment, inclusive language, and effective support strategies. Interactive activities and personal reflection encourage practical application. The goal is to foster empathy and create inclusive environments.

Positive Handling is a very serious subject. Knowing when and how to act in a difficult situation can be the difference between a positive outcome and a potentially career ending prosecution. This course will start by looking at some examples and statistics which highlight the seriousness and extent of aggressive pupil behaviour, it will then go on to explain how you can identify the stages of aggression and provide some tips on how you could de-escalate a pupil before they lash out. It also looks at where the law stands on this subject and finally best practice in theory if you ever do need to restrain a pupil.

Your market’s growth rate is out of your hands — but how you position your business to capitalize on it is entirely within your control. By selecting the most relevant growth rate for your market segment and aligning your company’s objectives accordingly, your projections will hold up under scrutiny and set you on the path toward profits. This course solves the challenge of projecting future growth with a framework for researching statistics, methods for calculating growth rates, and a list of pitfalls to avoid.

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! This Diploma in Data Entry Administrator at QLS Level 3 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! In today's data-driven world, efficient data management is more crucial than ever. Our comprehensive Data Entry course offers an in-depth understanding of the most relevant tools and techniques to streamline your data entry tasks. From mastering the basics to leveraging powerful tools like Excel, Flash Fill, and Autofill, this course equips you with everything you need to increase your productivity and boost your career prospects. With a strong emphasis on practical application, each module of this course is designed to help you tackle real-world challenges faced by data entry professionals. Learn how to create a data entry form in Excel and explore the use of statistics packages to improve your overall data entry skills. This course provides a solid foundation to enhance your marketability in the competitive job market. Learning Outcomes: Gain an understanding of the data entry process and its importance. Develop competence in using computers for efficient data entry tasks. Learn common rules and guidelines for accurate data entry. Master the use of Excel for improved data entry efficiency. Understand the functions of Flash Fill and Autofill in automating data entry tasks. Acquire skills in creating data entry forms and using statistics packages. Why Prefer This Data Entry at QLS Level 3 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Data Entry at QLS Level 3 course: Module 1: Introduction to Data Entry Module 2: Using the Computer for Data Entry Module 3: Common Rules and Guidelines for Data Entry Module 4: Using Excel for Efficient Data Entry Module 5: Using Excel's Flash Fill and Autofill to Automate Data Entry Module 6: How to Create a Data Entry Form in Excel? Module 7: Using Statistics Packages in Data Entry Assessment Process After completing an online module, you will be given immediate access to a specially designed MCQ test. The results will be immediately analysed, and the score will be shown for your review. The passing score for each test will be set at 60%. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Data Entry Administrator at QLS Level 3exams. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is for: Individuals seeking to improve their data entry skills Professionals looking to enhance their productivity Office administrators and support staff Students exploring career options in data management Requirements No prior background or expertise is required. Career path The Data Entry at QLS Level 3 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Like as: Data Entry Clerk: £18,000 - £22,000 Administrative Assistant: £17,000 - £21,000 Office Administrator: £18,000 - £23,000 Customer Service Representative: £17,000 - £21,000 Data Analyst: £25,000 - £35,000 Document Controller: £22,000 - £28,000 Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Data Entry Administrator at QLS Level 3 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Data Entry Administrator at QLS Level 3, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.