1117 Statistics courses in Rosyth delivered Online

In today's data-driven world, 82% of businesses demand Data Science professionals - and they're willing to pay for it! With average global salaries of Data Scientists and Machine Learning experts surpassing $120,000 annually, it's clear: the future belongs to those who understand data. Our Advanced Diploma in Data Science & Machine Learning - Level 7 is meticulously designed to offer profound knowledge and skills . This Data Science & Machine Learning bundle encompasses a comprehensive selection, from the nuances of Statistics & Probability to the intriguing applications of Machine Learning in Flutter. Also, this comprehensive Data Science & Machine Learning bundle ensures you're well-equipped with the essential knowledge required in today's competitive global market. By opting for this Data Science & Machine Learning advanced diploma, you're not just learning - you're investing in a future filled with opportunities, lucrative incomes, and immense professional demand globally. Data Science & Machine Learning Course Learning Outcomes Grasp the fundamentals of Statistics & Probability. Acquire proficiency in Python for Data Science. Understand R programming in data analytics context. Dive deep into MySQL and its applications in Data Science. Master SQL techniques for Data Visualization and Analytics. Lay a strong foundation in basic machine learning concepts. Navigate through Azure Machine Learning and its utilities. This Data Science & Machine Learning bundle course, however, is designed to be your compass, guiding you through the intricacies of the most pivotal topics. With the Advanced Diploma, you delve deep into the mathematical bedrock of data science through Statistics & Probability. Python and R, the stalwarts of data programming, are unravelled, offering insights into their unique capabilities. SQL's unmatched prowess in data visualisation and analytics is highlighted, while Azure provides a window into the world of cloud-based machine learning. Lastly, understand the synergy of machine learning and mobile applications through Flutter. The benefits? A holistic understanding, positioning you ahead in the academic sphere and offering a competitive edge should you venture into research or further studies. Courses in this Data Science & Machine Learning bundle: Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Data Science & Machine Learning with Python R Programming for Data Science Learn MySQL from Scratch for Data Science and Analytics SQL for Data Science, Data Analytics and Data Visualization Machine Learning Basics "Azure Machine Learning" Machine Learning use in Flutter, The Complete Guide Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the Data Science & Machine Learning course as proof of their achievement. You can order the endorsed certificate for only £129 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this Data Science & Machine Learning course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the Data Science & Machine Learning course has been reviewed and approved by the QLS and meets the highest quality standards. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Science & Machine Learning bundle is ideal for: Aspiring Data Scientists. Statisticians looking to expand into Machine Learning. Developers keen on integrating Machine Learning in apps. Research scholars in data-driven fields. Requirements To enrol in this Data Science & Machine Learning course, all you need is a basic understanding of the English Language and an internet connection. Career path Data Scientist Machine Learning Engineer Data Analyst SQL Database Administrator Research Scientist (Data Specialization) Flutter Developer with ML Integration Certificates 8 CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: £3.99 Outside the UK: £9.99 QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: Free Outside the UK: £9.99 Other CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 Free Courses Hard Copy Certificates Are £9.99 Each. Delivery Charge: Inside the UK: Free Outside the UK: £9.99

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.

About this course This practical course will help primary teachers to understand the purpose of assessment in history and consider current best practice. We will explore ways of continuing to improve the quality of teaching and learning in history through effective assessment strategies. We will go through practical ideas and resources to enliven teaching and learning in history and provide opportunities for assessment. This course will provide guidance and support to help develop the accuracy of teacher judgements. During the course, we will look at examples of writing and outcomes from different schools and consider how these outcomes demonstrate progress and attainment in history. Outcomes • understand the purpose of assessment in history • consider current best practice • explore ways of continuing to improve the quality of teaching and learning in history through effective assessment strategies • explore practical ideas and resources to enliven teaching and learning in history and provide opportunities for assessment • provide guidance and support to help develop the accuracy of teacher judgements Course leader The course is led by Steven Kenyon. Steven is a member of the Historical Association’s primary committee, having worked as a primary school teacher and then Deputy Head Teacher between 2004 and 2018. He joined Lancashire Professional Development Service in April 2018 as a Teaching and Learning Consultant for Primary History and English. He works closely with Lancashire Archives to promote and develop local history work in primary schools. This year he is a judge for the Historical Association's Young Quills Awards.

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.