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Are you ready to take charge of your mental well-being? Introducing our comprehensive course designed to explore the powerful connection between nutrition and mental health. Whether you're a health enthusiast, a practitioner, or someone eager to enhance their quality of life, this course is your gateway to understanding and implementing effective strategies. Key Features: CPD Certified Developed by Specialist Lifetime Access In this course, learners will explore how what we eat can affect our mental health. They'll begin by understanding the basics of mental health and how it can be influenced by various factors. They will discover the powerful connection between our diet and mental well-being, learning how specific nutrients can impact our mood and brain function. The course delves into current trends in food consumption and how these trends might affect mental health outcomes. Learners will also explore the concept of the "second brain" in our gut and its role in mental health, gaining insights into why gut health matters. They'll learn about the relationship between stress, diet, and weight gain, and how stress management can be crucial for overall health. Finally, the course covers common mood and behavior disorders, providing a deeper understanding of their causes and potential dietary interventions. Overall, this curriculum equips learners with practical knowledge to make informed choices for improving mental health through nutrition and diet. Course Curriculum Module 01: Introduction to Mental Health Module 02: Diet and Mental Health Module 03: The Relationship between Nutrition and Mental Health Module 04: Trends in Food Consumption and Mental Health Module 05: The Second Brain Trust Your Gut Module 06: Stress Can Make You Fat Module 07: Disorders of Mood and Behaviour Learning Outcomes: Identify key factors influencing mental health through nutrition and diet. Analyse the impact of diet on various mental health disorders. Understand trends in food consumption affecting mental well-being. Explain the concept of the gut-brain axis in mental health. Discuss the relationship between stress, diet, and weight management. Recognise common mood and behavioural disorders influenced by nutrition. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in understanding mental health through diet. Health practitioners seeking to enhance patient care through dietary advice. Nutritionists and dieticians aiming to specialize in mental health nutrition. Researchers exploring the link between diet and psychological well-being. Students of psychology or nutrition looking to expand their knowledge. Career path Nutrition Consultant Psychiatric Dietician Mental Health Researcher Community Health Worker Diet and Wellness Advisor Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Microsoft Power BI Masterclass 2021 Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Microsoft Power BI Masterclass 2021 Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Microsoft Power BI Masterclass 2021 Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Microsoft Power BI Masterclass 2021 Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Microsoft Power BI Masterclass 2021? 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 Microsoft Power BI Masterclass 2021 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 course for? This Microsoft Power BI Masterclass 2021 course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill.   Prerequisites This Microsoft Power BI Masterclass 2021 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Power BI Masterclass 2021 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Microsoft Power BI Masterclass 2021 is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:02:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up - Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Microsoft Power BI Masterclass 2021 00:00:00 Assignment Assignment - Microsoft Power BI 00:00:00

Unlock the complexities of modern political landscapes with our comprehensive course on Political Study. Delve into ideologies like Conservatism, Nationalism, Socialism, Liberalism, Ecologism, and Multiculturalism, gaining a deep understanding of their historical roots, contemporary relevance, and global impact. Key Features: CPD Certified Developed by Specialist Lifetime Access In this Political Study course, learners will explore various aspects of government structures and political systems. They will gain an understanding of how political power is organized and distributed in both the UK and the US, including the roles of the executive, legislative, and judicial branches. They will also learn about the influence of political parties, pressure groups, and electoral processes on shaping policies and decision-making. The course delves into democratic principles and mechanisms like elections and referendums, as well as the concepts of nationalism, multiculturalism, and feminism in modern societies. Learners will study different political ideologies such as conservatism, liberalism, socialism, anarchism, and ecologism, understanding their historical backgrounds and contemporary relevance. Additionally, the course covers important geopolitical issues like the European Union and the concept of devolution, providing a comprehensive foundation for understanding political systems and ideologies globally. Course Curriculum Module 01: Introduction to Politics Module 02: Introduction to the British Constitution Module 03: The Constitutional Framework of US Government Module 04: The Executive Branch of Government Module 05: The Legislative Branch of Government (Congress) Module 06: The Judiciary Module 07: The Judicial Branch of Government Module 08: The Prime Minister and Cabinet Module 09: Political Parties Module 10: Pressure Groups Module 11: Elections and Referendums Module 12: The Electoral Process and Direct Democracy Module 13: Parliament Module 14: Comparative Approaches Module 15: Democracy and Participation Module 16: Nationalism Module 17: Multiculturalism Module 18: Feminism Module 19: Conservatism Module 20: Liberalism Module 21: Socialism Module 22: Anarchism Module 23: Ecologism Module 24: The European Union (EU) Module 25: Devolution Learning Outcomes: Understand British and US constitutional frameworks and political branches. Analyze roles of judiciary, prime minister, and political parties. Evaluate electoral processes, democracy, and direct democracy mechanisms. Compare ideologies like nationalism, liberalism, socialism, and ecologism critically. Discuss multiculturalism, feminism, conservatism, and their political implications. Examine EU policies and impacts of devolution on political systems. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Political science students seeking comprehensive political theory knowledge. Researchers interested in comparative political systems and ideologies. Professionals in public policy analysis and governmental advisory roles. Individuals preparing for civil service examinations and political consultancy. Educators focusing on political theory and constitutional law. Career path Political Analyst Policy Researcher Government Advisor Political Consultant Public Policy Officer Constitutional Law Expert Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you passionate about shaping the future of our youngest generation? Do you want to make a meaningful impact on the lives of children? Our Diploma in Child Psychology & Child Development is your gateway to an exciting and rewarding career dedicated to understanding and nurturing young minds. You will learn everything from the factors that influence Child Development to Social and Emotional Development to Cognitive Development. You will learn how to deal with problems in Childhood and Adolescence. According to Talent a Child Development Researcher can earn upto £35,000 in a year depending on experience, location and other factors. Enrol in our Diploma in Child Psychology & Child Development today and take the first step towards becoming a guardian of childhood dreams. Key Features This Child Psychology & Child Development Course Includes: This Child Psychology & Child Development Course is CPD Certified Level 3 Diploma Free Certificate Developed by Specialist Lifetime Access Course Curriculum Child Psychology & Child Development Course: Module 01: Introduction to the Course Module 02: Understanding Child Development Module 03: Factors That Influence Development Module 04: Social and Emotional Development Module 05: Cognitive Development Module 06: Moral and Ethical Development in Children Module 07: Language Development Module 08: Personality and Intellectual Development in Children Module 09: Attachment and Relationship Building in Childhood Module 10: Impacts of Separation and Loss of Attachment Module 11: Problems of Infancy Module 12: Problems in Childhood and Adolescence Learning Outcomes After completing this Child Psychology & Child Development Course, you will be able to: Understanding Child Development: Identify key developmental milestones in children. Factors That Influence Development: Analyze factors shaping children's growth and development. Social and Emotional Development: Evaluate the impact of social interactions on emotional development. Cognitive Development: Explain stages of cognitive growth in childhood. Moral and Ethical Development in Children: Assess ethical and moral development. Attachment and Relationship Building: Understand the importance of attachment in childhood relationships. Certification After completing this Child Psychology & Child Development Course, you will get a free Certificate. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? This Level 3 Diploma in Child Psychology & Child Development course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Child Psychology & Child Development. Moreover, this course is ideal for: Individuals pursuing careers in education and child psychology. Parents and guardians seeking a deeper understanding of child development and Child Psychology. Mental health professionals aiming to specialize in child psychology. Social workers and counselors dealing with children and families. Students with a keen interest in child development and child psychology. Anyone who is interested in Child Psychology & Child Development. Requirements There are no requirements needed to enrol into this Level 3 Diploma in Child Psychology & Child Developmentcourse. We welcome individuals from all backgrounds and levels of experience to enrol into this Level 3 Diploma in Child Psychology & Child Development course. Career path After finishing this Level 3 Diploma in Child Psychology & Child Developmentcourse you will have multiple job opportunities waiting for you. Some of the following Job sectors of Child Psychology & Child Development are: Child Psychologist Educational Consultant Child Development Researcher Child Welfare Officer Family Support Worker Early Years Educator Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Uncover the secrets of our planet's rich tapestry with a journey through the fascinating realms of Biogeography. Explore the intricate dance between Earth's climate, diverse biomes, and the dynamic evolution of life. From the intricate web of biodiversity to the intriguing geographical distribution of organisms, delve into the mysteries that shape our world. Key Features: CPD Certified Developed by Specialist Lifetime Access Jump on a captivating exploration of soil and ecosystems, unraveling the vital threads that sustain life. Analyze the profound impact of human activities on ecosystems and decipher the intricate dance between humanity and the environment. Peer into the future, charting the course for Biogeography's exciting new directions. Enrich your understanding of the world, unlocking knowledge that transcends boundaries and paints a holistic picture of the delicate balance we inhabit. Course Curriculum Module 01:Biogeography Fundamentals Module 02:Earth's Climatic Patterns and Ecological Regions Module 03:Evolution and Biodiversity Dynamics Module 04:Geographic Dispersion of Organisms Module 05:Soil Ecology and Ecosystems Module 06:Anthropogenic Influences on Ecosystems Module 07:Interactions Between Humans and the Environment Module 08:Prospects for the Future in Biogeography Learning Outcomes: Understand Earth's climatic variations and their influence on biomes. Explore the intricate link between biodiversity and the process of evolution. Analyze the geographical distribution patterns of organisms across the globe. Examine the critical role of soil in sustaining diverse ecosystems. Evaluate the profound impact of human activities on fragile ecosystems. Anticipate future trends and challenges in the evolving field of Biogeography. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Environmental enthusiasts seeking a deeper understanding of Earth's ecosystems. Biologists keen on unraveling the secrets of biodiversity and evolution. Geography enthusiasts intrigued by the geographical distribution of organisms. Ecological stewards passionate about the impact of human activities on ecosystems. Future scientists and researchers eager to explore the future directions of Biogeography. Career path Conservation Scientist Ecologist Environmental Analyst Biodiversity Researcher Geographical Information Systems (GIS) Specialist Environmental Consultant Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock the mysteries of the human nervous system with our comprehensive course, "Introduction to Neurology." Designed for healthcare professionals and enthusiasts alike, this course delves into the fundamentals and intricacies of neurology through structured modules that ensure a thorough understanding from basics to disorders. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In the "Introduction to Neurology" course, learners will explore a wide range of topics related to the nervous system and its disorders. They will gain a comprehensive understanding of how the brain, spinal cord, and nerves function, and how to assess neurological conditions. Students will learn about various medications used in neurology and their effects. They will also study disorders affecting the peripheral nervous system, spinal cord, and specialized fields like child neurology, visual disorders, and disorders of hearing. By the end of the course, learners will have a solid foundation in recognizing and understanding neurological disorders, their symptoms, treatments, and their impact on patients' lives. This knowledge prepares them to work effectively in healthcare settings, assisting patients with neurological conditions and contributing to their care and management. Course Curriculum Module 01: Introduction to Neurology Module 02: Neurological Assessments Module 03: Medications Module 04: Peripheral Nervous System Disorders Module 05: Spinal Cord Disorders Module 06: Child Neurology Module 07: Visual Disorders Module 08: Disorders of Hearing Module 09: Neurological Disorders Learning Outcomes: Understand basic concepts and principles of neurology and its importance. Perform neurological assessments using appropriate diagnostic techniques effectively. Identify common medications used in the treatment of neurological disorders. Recognize and differentiate peripheral nervous system disorders and their symptoms. Analyze spinal cord disorders and their impact on neurological function. Explain child neurology issues and considerations in clinical practice. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Healthcare professionals seeking specialized knowledge in neurology. Medical students interested in understanding neurological disorders. Nurses aiming to enhance their expertise in neurological care. Researchers focusing on neurological sciences and disorders. Allied health professionals supporting patients with neurological conditions. Career path Neurologist Neurology Nurse Pediatric Neurologist Neurology Researcher Neurology Pharmacist Neurology Technician Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Welcome to the comprehensive course on Introduction to Health Economics and Technology! Whether you're a healthcare professional, policymaker, or simply curious about the economics behind healthcare decisions, this course is designed to equip you with essential knowledge and insights. Key Features: CPD Certified Developed by Specialist Lifetime Access In the Introduction to Health Economics and Technology course, learners explore fundamental concepts at the intersection of healthcare and economics. They delve into the principles of health economics, understanding how scarce resources affect healthcare delivery and decision-making. The course introduces basic economic and technological concepts essential for evaluating healthcare technologies and interventions. Learners also gain insights into Health Technology Assessment (HTA), learning methods to assess the clinical, economic, and social impacts of new health technologies. They explore economic evaluation techniques used to determine the value and cost-effectiveness of healthcare interventions. Additionally, the course covers the intricate relationship between health economics and healthcare technologies, highlighting their mutual influence. Learners study health insurance systems, understanding their role in healthcare financing and access. The course concludes with a critical examination of dilemmas faced by health ministers in balancing healthcare quality, accessibility, and costs within healthcare systems. Course Curriculum Module 01: Introduction to Health Economics and Health Technology Assessment Module 02: What is Health Economics Module 03: Basic Economic and Technological Concepts Module 04: Health Technology Assessment Module 05: Economic Evaluation Module 06: Exploring the Relationship Between Health Economics (HE) and Health Technology A Module 07: Health Insurance Module 08: The Health Minister's Dilemma Learning Outcomes: Understand key concepts in health economics and technology assessment principles. Analyze economic implications of health technologies on healthcare systems. Evaluate cost-effectiveness and efficiency of health technologies and interventions. Examine the role of health insurance in economic management of healthcare. Discuss ethical dilemmas faced by health ministers in policy decision-making. Apply economic evaluation methods to assess health technology investments. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Healthcare professionals seeking economic perspectives in healthcare decision-making. Policy makers and government officials involved in healthcare planning. Researchers interested in health technology assessment and economic evaluation. Students pursuing studies in health economics and related disciplines. Consultants advising on health policy and economic strategies. Career path Health Economist Healthcare Policy Analyst Health Technology Assessor Health Insurance Economist Government Health Advisor Healthcare Researcher Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock your potential to transform communities and drive global progress with our comprehensive International Development Training. Designed for aspiring professionals and change-makers, this course will equip you with the essential knowledge and skills to make a significant impact in the field of international development. Key Features: CPD QS Certified Free Certificate Developed by Specialist Lifetime Access The International Development Training course provides learners with a comprehensive understanding of global development issues. Students will explore the key theories and concepts of development and globalization, learning how to measure and evaluate progress in international development. The course covers critical topics such as global poverty, inequality, economic growth, and the role of governance. Learners will also study the impact of innovation, technology, and international migration on development. Health, environmental sustainability, and gender equality are also important focuses of the training. Additionally, the course includes practical insights into the work of international development organizations. By the end of the course, students will have a well-rounded knowledge of the challenges and strategies in international development, equipping them with the skills needed to contribute effectively to the field. Course Curriculum Module 01: Theories of Development and Globalisation Module 02: Measurement and Morality in International Development Module 03: Global Poverty, Inequality and Development Module 04: Economic Development Module 05: Governance and Development Module 06: Innovation and Technology Module 07: International Migration and Development Module 08: Global Health and Development Module 09: Environment and Development Module 10: Gender and Development Module 11: An International Development Actor Learning Outcomes: Understand development theories and globalisation's impact on international contexts. Assess development measurement methods and ethical considerations. Analyse global poverty, inequality, and their developmental implications. Examine economic development principles and strategies. Evaluate governance structures and their influence on development. Explore innovation, technology, and their roles in development. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in global development issues. Students studying international relations or development. Professionals in governmental or non-governmental organisations. Policy analysts focused on international development. Academics researching global development trends. Career path International Development Consultant Policy Analyst Development Project Manager Researcher in Development Studies NGO Programme Coordinator Government Advisor on Development Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock your potential to transform communities and drive global progress with our comprehensive International Development Training. Designed for aspiring professionals and change-makers, this course will equip you with the essential knowledge and skills to make a significant impact in the field of international development. Key Features: CPD Certified Developed by Specialist Lifetime Access The International Development Training course provides learners with a comprehensive understanding of global development issues. Students will explore the key theories and concepts of development and globalization, learning how to measure and evaluate progress in international development. The course covers critical topics such as global poverty, inequality, economic growth, and the role of governance. Learners will also study the impact of innovation, technology, and international migration on development. Health, environmental sustainability, and gender equality are also important focuses of the training. Additionally, the course includes practical insights into the work of international development organizations. By the end of the course, students will have a well-rounded knowledge of the challenges and strategies in international development, equipping them with the skills needed to contribute effectively to the field. Course Curriculum Module 01: Theories of Development and Globalisation Module 02: Measurement and Morality in International Development Module 03: Global Poverty, Inequality and Development Module 04: Economic Development Module 05: Governance and Development Module 06: Innovation and Technology Module 07: International Migration and Development Module 08: Global Health and Development Module 09: Environment and Development Module 10: Gender and Development Module 11: An International Development Actor Learning Outcomes: Understand development theories and globalisation's impact on international contexts. Assess development measurement methods and ethical considerations. Analyse global poverty, inequality, and their developmental implications. Examine economic development principles and strategies. Evaluate governance structures and their influence on development. Explore innovation, technology, and their roles in development. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in global development issues. Students studying international relations or development. Professionals in governmental or non-governmental organisations. Policy analysts focused on international development. Academics researching global development trends. Career path International Development Consultant Policy Analyst Development Project Manager Researcher in Development Studies NGO Programme Coordinator Government Advisor on Development Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 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 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 course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00