Proper childcare is a necessity for any up and coming child. Without the right practices in place no child will verbally be able to communicate their problems. That is why this Level 3 Diploma in Child Care CPD Accredited course can be of great use. This is a fairly extensive course as you will be going in a very in-depth analysis of childcare. Initially you will learn about some childcare basics like legal requirements, health & safety issues and equipments needed. Following that you will move onto understanding how different skills are developed in a child like gross, fine motor and cognitive. Child psychology plays a huge role in their development as you discover in the next section which elaborates on topics such as building self-esteem, setting examples etc. Social behaviour training and management is also an important aspect of raising a child and from this course you will discover the roots of immaturity, punishment for disobedience, difference between commendation and encouragement and so much more. In the final sections you will also learn about child safety both inside the house and outside, which begs the question, who wouldn't want this course in order to raise properly nurtured and healthy children. Course Highlights Level 3 Diploma in Child Care is an award winning and the best selling course that has been given the CPD Qualification Standards & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Level 3 Diploma in Child Care into 89 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 2 days, 12 hours hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Level 3 Diploma in Child Care Lifetime access to the course No hidden fees or exam charges CPD Qualification Standards certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Level 3 Diploma in Child Care is CPD Qualification Standards and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Level 3 Diploma in Child Care is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD Qualification Standards and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Level 3 Diploma in Child Care - Updated Version Understanding Child Development 00:24:00 Caring for Children 00:25:00 Healthy Food, Healthy living 00:24:00 Keeping Children Healthy & Safe 00:32:00 Child Protection 00:23:00 Play, Imagination and Creativity 00:26:00 Early Years Provision 00:19:00 Children with Special Needs 00:39:00 Level 3 Diploma in Child Care - Old Version Child Care Childcare Basics FREE 00:30:00 Legal Requirements FREE 01:00:00 Health And Safety Issues 00:30:00 Child Care Equipments 00:30:00 Guidelines for Carer Child Care Guidelines 00:30:00 Outdoor Safety 00:15:00 Plants That Poison 00:15:00 Guidelines for Food Preparation and Handling 00:30:00 Changing Diapers 00:30:00 Symptoms of Illness 00:30:00 Child Development Development Basics 00:30:00 Expected Milestones For Your Child's Age 01:00:00 Gross Motor Skills 01:00:00 Fine Motor Skills 00:30:00 Cognitive Skills 00:30:00 Speech 00:30:00 Social Skills 01:00:00 Developmental Delays 00:30:00 Child Psychology What is Child Psychology? 00:15:00 Defining Children and Childhood 00:15:00 Child Development Theories 01:00:00 Genetics 00:15:00 Cognitive Development 00:30:00 Physical Development 00:15:00 Social and Emotional Development 00:15:00 Attachment 00:15:00 Self Esteem & Confidence 00:15:00 Gender Roles and Gender Differences 00:30:00 Learning Disability 01:00:00 Behavioral Disorders 00:30:00 High Intelligence & School Psychology 00:15:00 Phases of Grief 00:30:00 Nutrition and Child Development 00:30:00 Developing into Adulthood 00:30:00 Child Empowerment Build Your Child's Self Esteem 01:00:00 Catch The Good And Not Always The Bad 01:00:00 Demonstrate The Love Is Unconditional 01:00:00 Make Rules And Be Consistent 01:00:00 Make Special Time For Your Child 00:30:00 Always Set An Example 01:00:00 Don't Dominate A Conversation 00:30:00 Learn To Be A Good Communicator 01:00:00 An Unnourished Child has A Long Road Ahead 00:30:00 Child's Social Behaviour Training & Management The Three Modes of Management FREE 01:00:00 What Are Gentle Measures? FREE 01:00:00 There Must be Authority 01:00:00 Gentle Punishment Of Disobedience 01:00:00 The Philosophy of Punishment Action 01:00:00 Rewarding Obedience 01:00:00 The Art of Training Delivery 01:00:00 Methods Exemplified 01:00:00 Della and The Dolls 01:00:00 The Child With The Parent 01:00:00 The Parent With The Child 01:00:00 Difference Between Commendation and Encouragement 01:00:00 Faults of Immaturity 01:00:00 Activities for kids Early Learning 01:00:00 The Role of Imagination in Children`s development 01:00:00 Truth and Falsehood 01:00:00 Judgement and Reasoning 01:00:00 Wishes and Requests 01:00:00 Children`s Questions 01:00:00 The Use of Money 01:00:00 Corporal Punishment 01:00:00 Gratitude in Children 01:00:00 Religious Training 01:00:00 Child Safety Public Safety Basics 00:30:00 Stranger Danger! 01:00:00 School Bus Safety 01:00:00 Playground Safety 00:15:00 Public Hygiene Safety 00:30:00 Internet Safety 00:30:00 Latest Tech Gadgets For Child Safety 01:00:00 The Issues With Not Teaching Your Child Public Safety Rules 00:15:00 Household Safety Safety Basics 00:30:00 Being Safe With Electricity 00:30:00 Being Safe With Fall Hazards 00:30:00 Safety With Poisons 00:30:00 Safety With Choking Hazards 00:30:00 Emergency Contacts And How To Use Them 00:15:00 The Dangers Behind Not Child Proofing 00:30:00 Mock Exam Mock Exam- Accredited Diploma in Child care 00:30:00 Final Exam Final Exam- Accredited Diploma in Child care 00:30:00
The Fintech Frontier: Why FDs Need to Know About Fintech,” the podcast where we delve into the world of financial technology There are numerous areas where fintech can make a significant impact. For example, payment processing and reconciliation can be streamlined through digital payment solutions and automated tools. Data analytics and artificial intelligence can enhance financial forecasting, risk management, and fraud detection. Blockchain technology can revolutionize supply chain finance and streamline processes involving multiple parties. By understanding the capabilities of these fintech solutions, FDs can identify areas for improvement and select the right technologies to optimise their financial operations. Additionally, fintech can greatly enhance financial reporting and analysis. Advanced data analytics tools can extract meaningful insights from vast amounts of financial data, enabling FDs to make data-driven decisions and identify trends and patterns. Automation of repetitive tasks, such as data entry and reconciliation, reduces the risk of errors and frees up valuable time for FDs to focus on strategic initiatives. The adoption of cloud-based financial management systems also provides flexibility, scalability, and real-time access to financial data, empowering FDs to make informed decisions on the go. With the rapid pace of fintech advancements, how can FDs stay up to date and navigate the evolving fintech landscape? Continuous learning and engagement with the fintech community are key. Attend industry conferences, participate in webinars and workshops, and engage with fintech startups and established players. Networking with professionals in the field, joining fintech-focused associations, and following relevant publications and blogs can help FDs stay abreast of the latest fintech developments. Embracing a mindset of curiosity and adaptability is crucial in navigating the ever-changing fintech landscape. I would also encourage FDs to foster partnerships and collaborations with fintech companies. Engage in conversations with fintech providers to understand their solutions and explore potential synergies. By forging strategic partnerships, FDs can gain access to cutting-edge technologies and co-create innovative solutions tailored to their organisation’s unique needs. As we conclude, do you have any final thoughts or advice for our FD audience regarding fintech? Embrace fintech as an opportunity, not a threat. Seek to understand its potential and how it can align with your organisation’s goals and strategies. Be open to experimentation and pilot projects to test the viability of fintech solutions. Remember that fintech is a tool to enhance and optimize financial processes, and as FDs, we have a crucial role in driving its effective implementation. https://www.fdcapital.co.uk/podcast/the-fintech-frontier-why-fds-need-to-know-about-fintech/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #fintech #knowledge #fds #frontier
Master Oracle Multitenant architecture in this course. Learn about database architecture, PDB creation, user management, backup and recovery, resource management, data pump utility, application containers, CDB fleet, PDB snapshots, and DBCA PDB cloning. This course is designed for intermediate-level participants.
This course aims to provide a solid foundation for educators to stay current with the latest advancements in AI (ChatGPT) and prepare them to integrate these cutting-edge tools into their everyday teaching practices, transforming the educational experience for both them and their students.
Teacher Training Diploma Level 5 course equips learners with essential teaching skills and knowledge to excel in the education sector. It provides comprehensive insights into effective teaching methodologies, psychology in teaching, and strategies for managing diverse classroom situations.
Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib 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 Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib 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 Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00
This video course will teach you the basics of Structured Query Language (SQL), such as writing SQL queries, creating and updating tables, and importing and exporting data from comma separated values (CSV) and Excel files. You'll also learn about the SQL and database skills you need to become a self-sufficient digital analyst or marketer who can extract marketing data from the backend without assistance.