1123 Courses in Cardiff delivered Online

Embark on a transformative journey into data analytics with our comprehensive course. Discover the power of data & analytics through engaging modules designed to equip you with skills and knowledge. Whether you're a novice or a seasoned professional, this data analytics course is your gateway to unlocking the potential of big data analytics. From understanding the basics like what is data analytics and harnessing the power of statistics to mastering data visualisation tools, each step is crafted to empower you with the tools necessary to navigate the world of data analytics confidently. With the Google Data Analytics Professional Certificate, you'll gain invaluable insights and practical experience that can catapult you into lucrative data analytics jobs. From enhancing your employability to boosting your earning potential, this course opens doors to a myriad of opportunities in this field. Learning Outcomes: Acquire a solid foundation in data analytics principles and techniques. Develop proficiency in using various data analytics tools and software. Gain skills in data mining, storage, and visualisation. Cultivate a data-analytic mindset to tackle complex problems effectively. Explore career pathways in data science with confidence and clarity. Why buy this Data Analytics Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Data Analytics there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Analytics course for? Aspiring data analysts seeking to kickstart their careers. Professionals looking to enhance their skillset in this field. Students interested in exploring the fascinating world of data science. Entrepreneurs aiming to leverage analytics for business growth. Individuals seeking to transition into lucrative data analytics jobs. Prerequisites This Data Analytics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 Per Annum Data Scientist: £30,000 - £70,000 Per Annum Business Intelligence Analyst: £28,000 - £55,000 Per Annum Data Engineer: £35,000 - £65,000 Per Annum Database Administrator: £25,000 - £55,000 Per Annum Analytics Manager: £40,000 - £80,000 Per Annum Course Curriculum Module 01: Introduction to the World of Data Introduction to the World of Data 01:00:00 Module 02: Basics of Data Analytics Basics of Data Analytics 00:40:00 Module 03: Statistics for Data Analytics Statistics for Data Analytics 01:00:00 Module 04: Actions Taken in the Data Analysis Process Actions Taken in the Data Analysis Process 00:55:00 Module 05: Gathering the Right Information Gathering the Right Information 01:00:00 Module 06: Storing Data Storing Data 01:15:00 Module 07: Data Mining Data Mining 01:00:00 Module 08: Excel for Data Analytics Excel for Data Analytics 01:20:00 Module 09: Tools for Data Analytics Tools for Data Analytics 01:20:00 Module 10: Data-Analytic Thinking Data-Analytic Thinking 01:10:00 Module 11: Data Visualisation That Clearly Describes Insights Data Visualisation That Clearly Describes Insights 00:45:00 Module 12: Data Visualisation Tools Data Visualisation Tools 01:00:00 Assignment Assignment - Data Analytics 00:00:00

24 Hours Left! Don't Let Winter Sale Slip Away - Enrol Now! With over 100,000 civil engineers in the UK, the demand for data-savvy professionals is high. According to a recent study, 72% of UK civil engineering firms are investing in data analytics to enhance decision-making processes, with data engineering experiencing a 40% year-on-year growth. This surge outpaces other tech sectors, highlighting the critical role of data engineers in big data and advanced analytics. This Data Engineering bundle empowers you to capitalise on this growing trend, equipping you with the proficiency to extract valuable insights from vast datasets, optimise project planning, and enhance overall efficiency. Embark on a transformative journey with our Data Engineering Bundle, thoroughly crafted to bridge the skill gap in one of the UK's fastest-growing job markets. Our bundle offers a comprehensive exploration into the world of data, equipping you with the analytical prowess to harness, process, and visualise data effectively. From mastering SQL programming to delving into the complexities of machine learning with R, this bundle is your gateway to becoming a data engineering maestro. In today's data-driven landscape, possessing a robust set of analytical skills is no longer a luxury but a necessity. With an emphasis on Data engineering, our courses are designed to foster a deep understanding of data analytics, visualisation, and mining, ensuring you can convert raw data into strategic insights that propel business decisions. Seize the opportunity to be at the helm of innovation and become the architect of tomorrow's data landscape with our Data Engineering Bundle. Join us now! Courses are Included in This Data Engineering Bundle: Course 01: Introduction to Data Analysis Course 02: Data Science & Machine Learning with R Course 03: Data Analytics with Tableau Course 04: SQL Programming Masterclass Course 05: Excel Pivot table for Data analytics Course 06: Data analytics with Excel Course 07: Python for Data Analysis Course 08: Basic Google Data Studio Course 09: Business Intelligence and Data Mining Masterclass Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 11: JavaScript Functions for Data Analyst Course 12: GDPR Data Protection Level 5 Course 13: GDPR Training Course 14: Learn Programming with Python Course 15: Data Center Training Essentials: General Introduction Course 16: Quick Data Science Approach from Scratch Course 17: Statistics & Probability for Data Science & Machine Learning Course 18: Master JavaScript with Data Visualization Course 19: Excel Data Tools and Data Management Course 20: Cloud Computing Essentials for Data Analysis Learning Outcomes of Data Engineering Bundle: Gain proficiency in SQL for complex database management and analytics tasks. Master R for data science and machine learning applications in various industries. Develop advanced Excel skills, including data analytics and pivot table expertise. Acquire hands-on experience with Tableau for effective data visualisation. Learn Python programming essentials for data analysis and engineering solutions. Understand Google Data Studio to create dynamic reports and dashboards. Why Choose Our Data Engineering Course? FREE Data Engineering certificate accredited Get a free student ID card with Data Engineering Training Get instant access to this Data Engineering course. Learn Data Engineering from anywhere in the world The Data Engineering is affordable and simple to understand The Data Engineering is an entirely online, interactive lesson with voiceover audio Lifetime access to the Data Engineering course materials The Data Engineering comes with 24/7 tutor support Start your learning journey straightaway with our Data Engineering Bundle! This Data Engineering bundle will equip you with the skills and knowledge to become a data-savvy civil engineer. You will learn how to collect, analyze, and interpret data to improve infrastructure projects and processes. This Data Engineering bundle includes courses on data analysis, data science, machine learning, SQL programming, Excel pivot tables, Excel data analytics, Python for data analysis, Google Data Studio, business intelligence, data mining, GDPR data protection, JavaScript functions for data analysts, and Python programming. Assessment Process of Data Engineering Once you have completed all the courses in the Data Engineering bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Engineering bundle is suitable for everyone. Also, our Data Engineering Bundle is perfect for: Aspiring data engineers Business intelligence analysts Data-driven marketers IT professionals Statistics enthusiasts Career changers Requirements You will not need any prior background or expertise in the Data Engineering Bundle. Career path This Data Engineering bundle will allow you to kickstart or take your career to the next stage in the related sector such as: Data Analyst BI Developer ML Engineer Data Scientist Database Administrator Data Strategist Certificates CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Overview With the ever-increasing demand for Forex Trading in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Forex Trading may be. Learning about Forex Trading or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Forex Trading . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Forex Trading is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Forex Trading course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Forex Trading course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Forex Trading course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Forex Trading , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Forex Trading , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Forex Trading , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Forex Trading course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Module 1 An Introduction to Forex An Introduction to Forex 00:00 Module 2 Statistics, Market Volatility and Expectations Statistics, Market Volatility and Expectations 00:00 Module 3 Aspects and Risks of the Trade Aspects and Risks of the Trade 00:00 Module 4 Buzz words and Expert Trading skills Buzz words and Expert Trading skills 00:00 Module 5 Other Options and Self Reflection Other Options and Self Reflection 00:00

Practical MySQL Course Intermediate, to leave you fully conversant with queries, DML and DDL statements. Hands-on, Practical MySQL Course Intermediate. PCWorkshops MySQL Course Intermediate Certificate. Max 4 people per course, we keep it personalised.

RQF level 1 Awareness of Safeguarding The RQF Level 1 Awareness of Safeguarding course is designed to provide individuals with a basic understanding of safeguarding principles and practices. It aims to raise awareness about the importance of safeguarding and promote the well-being and protection of vulnerable individuals, such as children, young people, and adults at risk. The course covers the following topics: Introduction to Safeguarding: Definition and importance of safeguarding. Key legislation, policies, and guidance related to safeguarding. Roles and responsibilities of individuals and organizations in safeguarding. Types of Abuse and Neglect: Overview of different types of abuse, including physical, emotional, sexual, and financial abuse. Recognizing signs and indicators of abuse and neglect. Understanding the impact of abuse on individuals' well-being. Vulnerable Groups: Identifying vulnerable groups, such as children, young people, older adults, and individuals with disabilities or mental health issues. Understanding the specific safeguarding concerns and considerations for each group. Reporting and Responding to Safeguarding Concerns: Procedures for reporting safeguarding concerns or disclosures. Understanding the importance of maintaining confidentiality and handling sensitive information appropriately. Responding to safeguarding concerns in a timely and appropriate manner. Promoting Safeguarding and Preventing Abuse: Strategies for promoting a safe and inclusive environment. Recognizing potential risk factors and implementing preventative measures. Understanding the importance of creating a culture of safeguarding within organizations. Multi-Agency Collaboration: Collaboration between different agencies and organizations involved in safeguarding, such as social services, law enforcement, and healthcare. Sharing information and working together to ensure effective safeguarding practices. Case Studies and Scenarios: Reviewing case studies and scenarios to apply safeguarding principles and practices. Analysing potential safeguarding dilemmas and decision-making processes. Personal Responsibilities: Recognizing personal boundaries and limitations when working with vulnerable individuals. Understanding the importance of self-care and managing emotional well-being when dealing with safeguarding issues. It is important to ensure that the course meets local safeguarding guidelines and requirements. Suitability - Who should attend? The RQF Level 1 Awareness of Safeguarding course is suitable for a wide range of individuals who may come into contact with vulnerable individuals or have a general interest in understanding safeguarding principles. Here are some key groups of people who should attend the course: Employees and Staff: The course is relevant for employees and staff members across various sectors and industries, including but not limited to education, healthcare, social services, hospitality, sports and recreation, and community organizations. It helps them develop a basic understanding of safeguarding principles and their responsibilities in ensuring the well-being and protection of vulnerable individuals they may encounter in their work. Volunteers: Individuals who volunteer their time and services in organizations that work with vulnerable individuals should attend the course. It equips them with essential knowledge and awareness of safeguarding issues, helping them provide appropriate support and maintain the safety and dignity of those they interact with. Parents and Caregivers: The course can benefit parents, guardians, and caregivers by providing them with a foundation in safeguarding principles. It helps them recognize potential risks and signs of abuse or neglect, enabling them to create safer environments for the children or vulnerable individuals under their care. Community and Youth Workers: Individuals involved in community work, youth organizations, or youth clubs should attend the course to enhance their understanding of safeguarding. It enables them to promote the well-being and safety of young people and recognize signs of potential abuse or exploitation. Volunteers or Trustees of Charitable Organizations: Individuals serving as volunteers or trustees in charitable organizations that work with vulnerable populations can benefit from the course. It helps them fulfill their responsibilities in safeguarding the individuals the organization serves and ensures they are aware of their legal and ethical obligations. General Public: The course is open to the general public as it provides valuable knowledge and awareness of safeguarding principles. It can benefit individuals who have an interest in understanding the rights and protection of vulnerable individuals in society. It's important to note that the RQF Level 1 Awareness of Safeguarding course provides foundational knowledge and awareness. For individuals who require more in-depth training or who have specific safeguarding roles or responsibilities, higher-level courses may be more suitable. Outcome / Qualification etc. Certification The qualification does not have an expiry date but refresher training and keeping up to date with changes to policies, procedures and new legislation through ongoing CPD is vital. Training Course Content Module 1 Introductions Module 2 Safeguarding legislation and guidance Module 3 Roles and responsibilities Module 4 Abuse and neglect Module 5 Identifying concerns and disclosure Module 6 Making judgements Module 7 Reporting concerns Module 8 Course closure and assessment MODULE 1 INTRODUCTIONS Session content Trainer/Assessor introduction Learner introductions Course syllabus Learning outcomes and assessment criteria Session duration 20 minutes MODULE 2 SAFEGUARDING LEGISLATION AND GUIDANCE Session content Introduction to safeguarding Definitions Assessment framework Safeguarding statistics Safeguarding legislation and guidance Rights of a child/adult at risk Session duration 40 minutes MODULE 3 ROLES AND RESPONSIBILITIES Session content Safeguarding partnerships Local authority safeguarding officer Social care services Multi-agency safeguarding hubs Organisational safeguarding policies Safeguarding lead Session duration 30 minutes MODULE 4 ABUSE AND NEGLECT Session content Definitions Types of abuse and neglect Physical abuse Emotional abuse Sexual abuse Neglect Signs and indicators Parent/carer abuse Radicalisation FGM Forced marriage Modern slavery County line gangs Electronic media abuse - Internet and social networking dangers Session duration 50 minutes MODULE 5 IDENTIFYING CONCERNS AND DISCLOSURE Session content Identifying concerns Being a point of disclosure Recording disclosure information Session duration 20 minutes MODULE 6 MAKING JUDGEMENTS Session content Child development needs Identifying a safeguarding concern Group activity making judgements Session duration 30 minutes MODULE 7 REPORTING CONCERNS Session content Silencing factors Barriers to raising concerns Reporting concerns Importance of sharing concerns Session duration 20 minutes MODULE 8 COURSE CLOSURE AND ASSESSMENT Session content Course summary Assessment paper Course evaluation Course closure Session duration 30 minutes Course delivery details Qualification delivery The qualification has 4 assigned guided learning hours (GLH) and 5 hours total qualification time (TQT). GLH indicates the number of classroom contact hours that the learner will undertake. TQT includes GLH but also takes into account any unsupervised learning and is an estimate of how long the average learner will take to complete the qualification. The minimum classroom contact time of 4 hours should be delivered over a minimum of half a day. The course can be spread over a maximum of 2 weeks, ensuring that each session is a minimum of two hours. The class ratio for this qualification is a maximum of 16 learners to 1 Trainer/Assessor Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price Continuing Studies The RQF Level 1 Awareness of Safeguarding course serves as an introductory course that provides individuals with a basic understanding of safeguarding principles. While it is a standalone qualification, individuals who complete the course may choose to progress further in their safeguarding training and education. Here are some potential progression options: RQF Level 2 Award in Safeguarding: This qualification builds upon the knowledge gained in the Level 1 course and provides a more comprehensive understanding of safeguarding principles, policies, and procedures. It covers topics such as risk assessment, responding to safeguarding concerns, and effective communication in safeguarding contexts. Specialized Safeguarding Courses: Individuals who wish to focus on specific areas of safeguarding can pursue specialized courses related to their field of interest. These courses may include Child Protection, Adult Safeguarding, Domestic Abuse Awareness, Online Safety, or Safeguarding in Healthcare. Specialized courses delve deeper into the specific risks, regulations, and best practices associated with safeguarding vulnerable individuals in those particular contexts. Safeguarding Training for Specific Professions: Many professions have specific safeguarding training requirements tailored to their sector. For example, teachers may need to complete safeguarding training specific to the education setting, healthcare professionals may have training focused on safeguarding vulnerable patients, and social workers may have specialized safeguarding training in line with their role. Progression may involve undertaking profession-specific safeguarding courses or qualifications. Safeguarding Leadership and Management Training: Individuals in supervisory or managerial positions may consider pursuing training that focuses on the leadership and management aspects of safeguarding. This can include courses on developing and implementing safeguarding policies and procedures, managing safeguarding incidents, conducting internal investigations, and providing guidance and support to staff. Continued Professional Development (CPD): Engaging in ongoing CPD activities is essential for staying updated with the latest developments in safeguarding practices and policies. Individuals can attend conferences, workshops, or seminars related to safeguarding, child protection, or specific areas of interest within the field. This allows for continued learning and networking with other professionals. Higher Education: Individuals who wish to pursue a more in-depth study of safeguarding can consider higher education programs in social work, psychology, criminology, or related fields. These programs provide comprehensive knowledge and training in safeguarding practices, policies, and research. They may lead to professional certifications or degrees that enhance career opportunities in safeguarding roles. It's important for individuals to research and explore progression options that align with their specific career goals, interests, and local requirements. Different countries or regions may have varying certification or training requirements for safeguarding roles, so it's advisable to check with relevant regulatory bodies or professional associations for specific guidance.

Overview For the definitive and certified training in Human Resources, take this training and drive your company to its full potential. This comprehensive course offers an in-depth overview of all the factors and practices that control and influence HR in an organisation. The HR Practice Essentials Level 4 course delivers a masterclass in HR principles and will swiftly enable you to become a skilled practitioner in the area. You will be taught how to capture and analyse essential performance statistics. Additionally, you will learn how to support change, recruit staff, reward employees, manage business relations, organise training, and all the other duties that an HR manager will uphold. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this HR Practice Essentials Level 4. It is available to all students, of all academic backgrounds. Requirements Our HR Practice Essentials Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 14 sections • 14 lectures • 04:21:00 total length •Module 01: Introduction to Human Resource: 00:17:00 •Module 2: Employee Recruitment and Selection Procedure: 00:32:00 •Module 3: Skills of an Effective Administrator: 00:17:00 •Module 4: Employee Training and Development Process: 00:22:00 •Module 5: Performance Appraisal Management: 00:19:00 •Module 6: Employee Relations: 00:14:00 •Module 7: Motivation and Counselling: 00:19:00 •Module 8: Ensuring Health and safety at the Workplace: 00:17:00 •Module 9: Employee Termination: 00:15:00 •Module 10: Business Etiquette: 00:21:00 •Module 11: Employer Record and Statistics: 00:11:00 •Module 12: Business Telephone Skills: 00:21:00 •Module 13: Representing Your Boss and Company: 00:36:00 •Assignment - HR Practice Essentials Level 4: 00:00:00

Getting Started The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects.The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects. Key Benefits This qualification will bring you many vital benefits, such as; Learners can gain the essential subject knowledge needed to progress successfully into further study or the world of work. Refreshed content that is closely aligned with employer and higher education needs Develop a comprehensive knowledge of classical data analytics, including statistical inference, predictive modelling, time series analysis and data reduction. Become familiar with and use the tools and techniques used in data visualisation. Assessments that consider cognitive skills along with affective and applied skills Key Highlights Do you wish to be a Data Scientist? Then, The OTHM Level 7 Diploma in Data Science program offered by the School of Business and Technology London is the right solution for you. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 7 Diploma in Data Science can open many career pathways including, but not limited to: Data scientist- Est. Salary £59,680 Data Analyst- Est. Salary £42,984 Business Analyst-Est. Salary £54,413   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Data Science Foundations Reference No : Unit 1 - F/650/5562 Credit : 20 || TQT : 200 Hours This unit introduces various data science concepts, including data administration, governance, and big data sources. UNIT2- Probability and Statistics for Data Analysis Reference No : Unit 2 - H/650/5563 Credit : 20 || TQT : 200 Hours The objective of this unit is to offer a comprehensive introduction to the fundamental principles of probability and statistics, starting from the basics. It will cover a wide spectrum of data analysis procedures and methodologies. UNIT3- Advanced Predictive Modeling Reference No : Unit 3 - J/650/5564 Credit : 20 || TQT : 200 Hours You will become acquainted with key predictive modelling methods and their underlying foundational principles in this unit. UNIT4- Data Analysis and Visualisation Reference No : Unit 4 - K/650/5565 Credit : 20 || TQT : 200 Hours This unit serves as a crucial foundation for grasping the core concepts of the data analysis process, encompassing data collection, data cleansing, data analysis, and the effective communication of insights through visualisations and dashboard tools. UNIT5- Data Mining Machine Learning and Artificial Intelligence Reference No : Unit 5 - J/650/5573 Credit : 20 || TQT : 200 Hours The primary aim of this unit is to provide an introduction to the scientific principles underpinning machine intelligence and to explore the philosophical discourse surrounding the endeavour to simulate human intelligence for addressing real-world challenges. UNIT6- Advanced Computing Research Methods Reference No : Unit 6 - L/650/5566 Credit : 20 || TQT : 200 Hours This unit aims to enhance learners' skills in preparing for diverse forms of academic computing research by guiding them through creating and designing a research proposal. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

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

14 in 1 "IT and Analytics" Bundle only at £100 Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now Tired of browsing and searching for a IT and Analytics course you are looking for? Can't find the complete IT and Analytics package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive bundle that has everything you need to succeed in IT and Analytics and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your skills and prepare you for the competitive job market. Furthermore, to help you showcase your expertise in IT and Analytics, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Quick Data Science Approach from Scratch Course 03: Excel Pivot Tables Course 04: Google Data Studio: Data Analytics Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 06: Business Intelligence and Data Mining Masterclass Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: RCA: Root Cause Analysis Course 09: Master JavaScript with Data Visualization Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 11: Electronic Document Management System Step Course 12: Information Management Course 13: Encryption Course 14: IT For Recruiters Enrol now to advance your career, and use the premium study materials from Apex Learning. Benefits you'll get from choosing Apex Learning for this training: Pay once and get lifetime access to 14 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn anytime, from anywhere Study from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Curriculum Course 01: Introduction to Data Analysis Introduction Agenda and Principles of Process Management The Voice of the Process Working as One Team for Improvement Exercise: The Voice of the Customer Tools for Data Analysis The Pareto Chart The Histogram The Run Chart Exercise: Presenting Performance Data Understanding Variation The Control Chart Control Chart Example Control Chart Special Cases Interpreting the Control Chart Control Chart Exercise Strategies to Deal with Variation Using Data to Drive Improvement A Structure for Performance Measurement Data Analysis Exercise Course Project Test your Understanding ---------- Other Courses Are ---------- Course 02: Quick Data Science Approach from Scratch Course 03: Excel Pivot Tables Course 04: Google Data Studio: Data Analytics Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 06: Business Intelligence and Data Mining Masterclass Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: RCA: Root Cause Analysis Course 09: Master JavaScript with Data Visualization Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 11: Electronic Document Management System Step Course 12: Information Management Course 13: Encryption Course 14: IT For Recruiters CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this IT and Analytics bundle. Requirements This course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. There is no time limit for completing this course; it can be studied in your own time at your own pace. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Sexual harassment is unwanted conduct of a sexual nature. Experiencing sexual harassment can be one of the most difficult situations a worker can face, however it should not be happening and all workers are protected by law from sexual harassment. Handling accusations of sexual harassment can be difficult, and if not done correctly can lead to the company being held liable along with the perpetrator of the harassment. This course will start by defining sexual harassment and explaining how protection comes from both employment law and criminal law. You'll see from workplace statistics how widespread and serious the problem is, and how the management response to concerns raised is often poor or non-existent. It also addresses how allegations should be handled, explains the importance of having clear and robust policies and the role line managers tend to take when it comes to dealing with these situations. The course also coves investigation from the employer's perspective, the role of employment tribunals, and concludes with some case studies that will give further insight into what constitutes harassment and the outcome of cases where the businesses did not act appropriately to deal with this behaviour.