1072 Data Analysis courses delivered Online

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.

Python Programming: Beginner To Expert Overview Unfold the potential within you, and embark on a journey of mastering Python programming - from the fundamental building blocks to the pinnacle of expertise. This comprehensive course, crafted with meticulous care, empowers you to transform from a curious novice to a confident coding maestro, wielding Python's power with finesse. Within these engaging modules, you'll delve into the core principles of Python, meticulously exploring data types, operators, control flow, and functions. As your proficiency blossoms, you'll conquer advanced topics like object-oriented programming, powerful libraries like NumPy and Pandas, and the art of crafting polished scripts. But this journey isn't merely about acquiring technical prowess; it's about unlocking a world of possibilities. By the course's end, you'll be equipped to embark on a rewarding career path, armed with the skills to tackle real-world challenges in diverse domains - from data analysis and web development to scientific computing and automation. Learning Outcomes Gain a solid foundation in Python syntax, data structures, and control flow mechanisms. Master essential functions, user input, and error-handling techniques. Explore advanced data types, object-oriented programming concepts, and popular libraries like NumPy and Pandas. Craft polished, reusable Python scripts for various applications. Confidently navigate the Python ecosystem and continuously expand your knowledge. Why You Should Choose Python Programming: Beginner To Expert Lifetime access to the course No hidden fees or exam charges CPD Accredited 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? Python Programming: Beginner To Expert is CPD certified 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 Python Programming: Beginner To Expert 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 and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Python Programming: Beginner To Expert Module 01: Introduction to Python Programming from A-Z Intro To Python Section Overview 00:06:00 What is Python Programming? 00:10:00 Who is This Course For? 00:05:00 Python Programming Marketplace 00:06:00 Python Job Opportunities 00:05:00 How To Land a Python Job Without a Degree 00:08:00 Python Programmer Job Roles 00:09:00 Python from A-Z Course Structure 00:04:00 Module 02: Getting Familiar with Python Getting Familiar with Python Section Overview 00:06:00 Installing Python on Windows 00:10:00 Anaconda and Jupyter Notebooks Part 1 00:08:00 Anaconda and Jupyter Notebooks Part 2 00:16:00 Comments 00:05:00 Python Syntax 00:02:00 Line Structure 00:03:00 Line Structure Exercise 00:07:00 Joining Lines 00:05:00 Multiple Statements on a Single Line 00:05:00 Indentation 00:08:00 Module 03: Basic Data Types Basic Data Types Section Overview 00:08:00 String Overview 00:10:00 String Manipulation 00:07:00 String Indexing 00:04:00 String Slicing 00:08:00 Printing 00:10:00 Python Variables 00:08:00 Integers and Floats 00:08:00 Booleans 00:02:00 Mini Project 1 : Letter Counter 00:20:00 Module 04: Python Operators Python Operators Section Overview 00:04:00 Comparison Operators 00:09:00 Arithmetic Operators 00:08:00 Assignment Operators 00:05:00 Logical Operators 00:13:00 Identity Operators 00:05:00 Membership Operators 00:02:00 Bitwise Operators 00:08:00 Module 05: Advanced Data Types Python Advanced Data Types Section Overview 00:11:00 Sets 00:06:00 List Overview 00:05:00 List Slicing and Indexing 00:04:00 Tuples 00:02:00 Dictionaries 00:11:00 When to use each one? 00:05:00 Compound Data Types 00:03:00 Module 06: Control Flow Part 1 Control Flow Part 1 Section Overview 00:15:00 Intro to Control Flow 00:01:00 Basic Conditional Statements 00:14:00 More Conditional Statements 00:05:00 For Loops 00:10:00 While Loops 00:12:00 Module 07: Control Flow Part 2 Control Flow Part 2 Section Overview 00:02:00 Break Statements 00:08:00 Continue Statements 00:05:00 Zip Function 00:07:00 Enumerate Function 00:04:00 List Comprehension 00:04:00 Module 08: Python Functions Python Functions Section Overview 00:03:00 Intro to Functions 00:02:00 Python help Function 00:03:00 Defining Functions 00:09:00 Variable Scope 00:08:00 Doc Strings 00:04:00 Module 09: User Input and Error Handling User Input and Error Handling Section Overview 00:02:00 Introduction to error handling 00:03:00 User Input 00:04:00 Syntax Errors 00:04:00 Exceptions 00:11:00 Handling Exceptions Part 1 00:08:00 Handling Exceptions Part 2 00:08:00 Module 10: Python Advanced Functions Python Advanced Functions Section Overview 00:05:00 Lambda Functions 00:05:00 Functions args and kwargs 00:10:00 Iterators 00:08:00 Generators and Yield 00:12:00 Map Function 00:14:00 Filter Function 00:08:00 Module 11: Python Scripting and Libraries Python Scripting and Libraries Section Overview 00:05:00 What is a script? 00:01:00 What is an IDE? 00:17:00 What is a text editor? 00:12:00 From Jupyter Notebook to VScode Part 1 00:15:00 From Jupyter Notebook to VScode Part 2 00:05:00 Importing Scripts 00:03:00 Standard Libraries 00:04:00 Third Party Libraries 00:06:00 Module 12: NumPy NumPy Section Overview 00:04:00 Why use NumPy? 00:04:00 NumPy Arrays 00:10:00 Reshaping, Accessing, and Modifying 00:07:00 Slicing and Copying 00:06:00 Inserting, Appending, and Deleting 00:10:00 Array Logical Indexing 00:04:00 Broadcasting 00:08:00 Module 13: Pandas Intro to Pandas 00:17:00 Pandas Series 00:17:00 Pandas Series Manipulation 00:17:00 Pandas DataFrame 00:17:00 Pandas DataFrame Manipulation 00:13:00 Dealing with Missing Values 00:10:00 Module 14: Introduction to OOP Functional vs OOP 00:06:00 OOP Key Definitions 00:04:00 Create your First Class 00:12:00 How to Create and Use Objects 00:06:00 How to Modify Attributes 00:12:00 Module 15: Advanced OOP Python Decorators 00:27:00 Property Decorator 00:09:00 Class Method Decorator 00:07:00 Static Methods 00:10:00 Inheritance from A to Z 00:21:00 Module 16: Starting a Career in Python Getting Started with Freelancing 00:09:00 Building A Brand 00:12:00 Personal Branding 00:13:00 Importance of Having Website/Blog 00:04:00 Do's and Don'ts of Networking 00:06:00 Creating A Python Developer Resume 00:06:00

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Duration 5 Days 30 CPD hours This course is intended for The audience includes implementers, developers, system administrators, project teams, database administrators and engine project technical teams. The audience also includes consultants that are looking to gain an understanding of Maximo Asset Management 7.6.0.x and the engine. Overview After completing this course, you should be able to perform the following tasks: List the components of Tivoli's process automation engine Understand Maximo modules and applications Understand Tivoli's Process Automation Engine Create the foundation data necessary for Maximo Asset Management Customize the engine database and applications Automate IBM Service Management applications using workflows Use the Maximo Work Centers Use the Integration Framework to import and export data This course is designed for anyone planning to use Maximo Asset Management and Tivoli?s process automation engine with one of the IBM System Management (ISM) products. It is a course that introduces you to the features and functions of both products. IBM Maximo Asset Management Overview This unit focuses on Maximo as an overall product and how Maximo assists companies with their asset management lifecycle. Tivoli Process Automation Engine This unit describes the functions of Tivoli?s process automation engine and introduces the products that are based on the engine. This unit also introduces Start Centers and basic navigation. Architecture and components This unit covers the architecture of Tivoli?s process automation engine. The various components that make up the system are described. The unit will address Java EE servers and the basic use of WebSphere© as it relates to the engine. The unit then covers the organization of the administrative workstation and system properties. The unit briefly describes the setup of the system for using attachments. Foundation Data This unit covers the creation of foundation data for Tivoli?s process automation engine. The foundation data is the software constructs that are necessary in the basic configuration of the product. These constructs include organizations, sites, locations, classifications, and various engine financial configurations. Security Security addresses the need to protect system resources from unauthorized access by unauthenticated users. Resources in the system are protected by Authentication and Authorization. Database architecture This unit illustrates the possible database configurations using the Database Configuration application. It also presents specific command lines that you can run to configure the changes made on the attributes of business objects using the Database Configuration application. Work Management Work Management is a collection of components and products that work together to form a powerful process and work management system. This unit provides a look at work management and focuses on using Work Management to generate, process, and complete work orders. Customizing an application This unit provides an overview of the Application Designer and Migration Manager. You will learn how to change, duplicate and create applications. You will learn the process to move from development, integration testing, user acceptance testing and moving to production. Automation This unit provides a high-level overview of key automation application programs and their functionality. It describes cron tasks, which are used to automate jobs in the system. The unit then discusses various communication tools in the system such as Communication Templates and the E mail Listener application. Finally, automated means of notification using escalations and actions are covered. Workflow This unit focuses on workflow. You learn about the Workflow Designer and its tools. You also learn how to modify an existing workflow and how to manage the included workflows. Reporting This unit provides an overview of the data analysis and reporting options that you can use in the system to analyze data. You create query by example (QBE) reports, result sets, key performance indicators (KPI), and query-based reports (QBRs). Students can optionally review Appendix A to learn how to create a simple enterprise report using Business Intelligence Reporting Tools (BIRT) designer. This report provides an example of how developers create more complex, widely used reports for users. Integration Framework In this unit, a high-level overview of the Integration Framework is provided. The Integration Framework architecture and components are described and basic configuration steps are described. The configuration and steps for loading and exporting data to and from the system are covered. You have the opportunity to practice them also. Budget Monitoring This unit provides information on a new feature introduced in Maximo 7.6.0.8, the Budget Monitoring application. In this application, you can create budget records to monitor transactions in a financial period. Inspection Tools and Tasks This unit introduces the new Inspection application. You can use the Inspections tools to create online inspection forms by using your desktop computer or laptop, and you can use the forms to complete an inspection by using your desktop computer, laptop, or tablet. Troubleshooting This unit focuses on troubleshooting as a systematic approach to solving a problem. The goal is to determine why something does not work as expected and to resolve the problem. It discusses the configuration of logging in the application. It also covers basic troubleshooting techniques, some important component logs, and information about obtaining help from Tivoli Support. Additional course details: Nexus Humans U5TR712 - IBM Maximo Asset Management - System Administration and Development v7.6x training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the U5TR712 - IBM Maximo Asset Management - System Administration and Development v7.6x course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This course bundle is made up of three separate certification courses: 1. PRINCE2® Foundation; 2. PRINCE2® Practitioner; 3. IASSC Lean Six Sigma Black Belt. The PRINCE2® Foundation And Practitioner course includes the official certification exams. By passing the Foundation and Practitioner exams, you will be an officially certified PRINCE2® Practitioner. The IASSC Lean Six Sigma Black Belt course includes the official IASSC Six Sigma Black Belt exam. By passing this exam, you will be officially certified by the IASSC as a Six Sigma Black Belt. You have 14 months to complete all of the courses in this bundle and take the exams. Read below to find out more about the courses contained within this bundle.

This course teaches you data analysis and visualisation using the versatile R language. From understanding data structures to performing advanced statistical analysis, this course equips you with the skills to extract meaningful insights from complex datasets. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Get a deep understanding of data science, the process and the toolbox Learn about R and Rstudio Get an introduction to the basic data types in R Learn to perform arithmetic calculations on vectors Understand what is a matrix and how to analyse it Know what is factors and how to summarise it Recognise how to create a data frame Get an understanding of the relational and logical operators Learn what is a conditional statement and how to implement the same Learn about loops, functions and R packages Understand data manipulation with dplyr Data Science Course with R Programming Course Overview This comprehensive data science with R programming course is specially designed for those who are willing to get a better understanding of R programming and data science to gain proficiency in the same. This online course will help you strengthen your knowledge of data science, R and Rstudio, basics, vectors and much more. This online data science with R programming course will also help you acquire knowledge about the Matrices, factors, data frame, list, logical and relational operations and conditional statements. You will also gain an understanding of the advanced features like loops, functions R packages, regular expressions, etc., to master R language and data science. By the end of the course, you will be able to write R programmes efficiently and be able to analyse data. You will also develop the skills to become a successful data scientist or data analyst after completing this course. Who should take this course? This comprehensive data science with R programming course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of R programming. Entry Requirements There are no academic entry requirements for this data science with r programming course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This data science with r programming course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Science Overview Introduction to Data Science Data Science Career of the Future What is Data Science Data Science As a Process Data Science Toolbox Data Science Process Explained What's Next R and RStudio Engine and Coding Environment Installing R and RStudio RStudio a Quick Tour Introduction to Basics Arithmetic With R Variable Assignment Basic Data Types in R Vectors Creating a Vector Naming a Vector Arithmetic Calculations on Vectors Vector Selection Selection by Comparison Matrices What's a Matrix Analyzing Matrices Naming a Matrix Adding Columns and Rows to a Matrix Selection of Matrix Elements Arithmetic with Matrices Factors What's a Factor Categorical Variables and Factor Levels Summarizing a Factor Ordered Factors Data Frames What's a Data Frame Creating a Data Frame Selection of Data Frame Elements Conditional Selection Sorting a Data Frame Lists Why Would You Need Lists Creating a List Selecting Elements From a List Adding More Data to The List Relational Operators Equality Greater and Less Than Compare Vectors Compare Matrices Logical Operators AND, OR, NOT Operators Logical Operators with Vectors and Matrices Reverse The Result Relational and Logical Operators Together Conditional Statements The IF Statement IF…ELSE The ELSEIF Statement Loops Write a While Loop Looping with More Conditions Break Stop The While Loop What's a For Loop. Loop Over a Vector Loop Over a List Loop Over a Matrix For Loop with Conditionals Using Next and Break with For Loop Functions What Is a Function. Arguments Matching Required and Optional Arguments Nested Functions Writing Own Functions Functions with No Arguments Defining Default Arguments in Functions Function Scoping Control Flow in Functions R Packages Installing R Packages Loading R Packages Different Ways to Load a Package The Apply Family - Lapply What Is Lapply and When Is Used. Use Lapply with User-Defined Functions Lapply and Anonymous Functions Use Lapply with Additional Arguments The Apply Family - Sapply & Vapply What Is Sapply. How to Use Sapply. Sapply with Your Own Function Sapply with a Function Returning a Vector When Can't Sapply Simplify. What Is Vapply and Why Is It Used. Useful Functions Mathematical Functions Data Utilities Regular Expressions Grepl & Grep Metacharacters Sub & Gsub More Metacharacters Dates And Times Today and Now Create and Format Dates Create and Format Times Calculations with Dates Calculations with Times Getting and Cleaning Data Get and Set Current Directory Get Data From The Web Loading Flat Files Loading Excel Files Plotting Data in R Base Plotting System Base Plots Histograms Base Plots Scatterplots Base Plots Regression Line Base Plots Boxplot Data Manipulation With dplyr Introduction to dplyr Package Using The Pipe Operator (%>%) Columns Component Select() Columns Component Rename() and Rename_with() Columns Component Mutate() Columns Component Relocate() Rows Component Filter() Rows Component Slice() Rows Component Arrange() Rows Component Rowwise() Grouping of Rows Summarise() Grouping of Rows Across() Covid-19 Analysis Task Assessment Assessment - Data Science Course with R Programming Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want This course will set you up with a solid foundation to become a confident counsellor or psychologist as well as assist you in developing more advanced counselling and psychotherapy skills. This course at a glance Eligible to apply for the insurance Accredited by International Practitioners of Holistic Medicine (IPHM) Accredited by CPD UK Endorsed by Quality Licence Scheme Understand psychotherapy and identify your potential clients in psychotherapy Recognise various types of psychotherapy including internet-based therapy Recognise approaches and perspectives of psychotherapy Understand social and cognitive psychology as well as their application Know how to treat abnormal behaviour through psychological approaches Learn how to recognise and treat psychological disorders in children, such as grief and bereavement, stress, bullying, and child abuse. Recognise the stages of a child's growth and determine which ones necessitate close monitoring and counselling. Know how to use therapeutic language to counsel and work with children Understand the effect of social, environmental, family and schooling factors on a child's development Recognise the psychology behind addiction as well as its treatment Understand how to treat addiction through various counselling approaches Develop compassion towards people suffering from mental and emotional issues Demonstrate various drug policies, legislation and decriminalisation Know how to deal with alcohol and drug-related issues in the workplace and in families Identify the main causes of the eating disorder, including how to use CBT to treat it Know how to use DBT to treat various psychological disorders Why Counselling and Psychotherapy Course right for you? If you are looking to expertise in this rewarding field or simply wanting to refresh your existing skills and knowledge as a counsellor or psychologist, this Level 6 Counselling and Psychotherapy Course is ideal for you. This course incorporates intellectual, practical, and experience components in a supportive and demanding setting, thus, providing you with the required skills to start your own practice. This course will help you grasp various psychotherapy methods and techniques which include the psychodynamic approach, unconscious process, defense mechanism, humanistic approach, and CBT. You will also understand how to conduct group therapy, family therapy and internet-based therapy. This course provides a concise insight into the perspectives of psychology, social psychology, cognitive psychology as well as the psychology of abnormal behaviour. You'll learn about child counselling, child development and the complexity of growth as well as how social, environmental, family and schooling factors affect a child's development. This course also explains the psychology of addiction, the reason behind addiction including how to treat addiction. Finally, you will understand how CBT and DBT are used to treat several mental disorders in detail. Upon successful completion of this Level 6 Counselling and Psychotherapy Course, you will develop self-awareness and extensive counselling and psychotherapy skills to practise competently as counsellors or psychologists, and thus provide mental and emotional support to those in need. Counselling and Psychotherapy Course Details Accredited by International Practitioners of Holistic Medicine (IPHM) is a leading accredited organisation that certifies and regulates alternative therapists, healers, and training providers around the world. After completing the IPHM accredited course you will be eligible to apply for the insurance.   CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Psychotherapy Course Introduction to the course About the Instructor About the Course Understanding Psychotherapy What is Psychotherapy. A Short Historical Introduction Psychology, Counselling & Psychotherapy Where do Psychotherapists work. Starting Psychotherapy Practice Who Can Benefit from Psychotherapy Short-Term Vs Long-Term Therapy Therapeutic Relationship What Does the First Psychotherapy Session Involve. Your Potential Clients in Therapy Psychotherapy for Children Individual and Group Sessions Family Therapy Different Types of Psychotherapy Psychodynamic Approach Unconscious Processes (The Unconscious Mind) Defense Mechanisms Humanistic Approach Cognitive Behavioural Approach (CBT) Internet Based Therapy Face-to-face Vs 'Online' Psychotherapy How to Become an 'Online Psychotherapist'. Thank You and Good Bye! Psychology What is Psychology The Biological Approach Behaviourist and Cognitive Approaches Person-Centred Approaches Debates in Psychology Social Psychology Social Influence: Compliance, Obedience and Conformity Social Cognition Applied Social Psychology Cognitive Psychology and Its Applications Perception Attention Remembering (Memory) Research Methods in Psychology Forgetting (Memory) Language Thinking (Cognition) Attitudes Problem-Solving and Artificial Intelligence Child Development Issues in Child Development Cognitive Development The Development of Language and Communication Social Perception (Interpersonal Perception) Moral Development The Psychology of Atypical (Abnormal) Behaviour The Definition and Diagnosis of Atypical (Abnormal) Behaviour Treatments of Atypical (Abnormal) Behaviour Emotional Disorders Research Methods Research Issues Data Analysis Thank You and Good Bye! Child Counsellor Level 3 Psychology of Growth and Development The Development Cycle Parent, Child, Teacher Relationships The Complexities of Growth Introduction - Psychological Development Therapeutic Language Conflict and Stress Behavioural Therapies Working with Children The Use of Language Memory Psychological Issues Grief and Bereavement Exploring Grief and Letting Go Dysfunctional Families What is Co-Dependency Child Bullying and Child Abuse Therapeutic Outcomes Psychological Study of Education Transformation Using Newly Found Skills Recovery - The Therapeutic Process Moving on - Emotional Intimacy Working as a Counsellor Setting Up a Practice Child Psychology What is 'Child Psychology'. The Role of Child Psychologist Where do Child Psychologists Work Child Psychology - Theoretical Approach Why Do We Need to Learn Theories. Developmental Theories: What We Are Born With Developmental Theories: How Environment Impacts Us Environmental & Socio-Cultural Factors in Development 'Attachment' Factor in Newborns Socio-Cultural Factors in Child's Development Family & Schooling Factors in Development The Role of Parenting in Child's Development Relationship Breakdown in the Family Schooling Environment Counselling Young Children Cognitive and Emotional Development Language & Cognitive Development Emotions & Feelings Socialising With Others Thank You and Good Bye! Addiction Psychology and Counselling Level 3 Theories of Addiction The Moral Model The Psychological Model The Medical / Disease Model The Socio-Cultural Model Addiction Treatments Pharmacotherapy The Minnesota Model Counselling and Therapy Harm Reduction Model Treatments in Practice Addiction in Society Drug policies, Legislation and Decriminalisation Community change, Outreach, Harm Reduction or Abstinence Alcohol and Drug education Alcohol- and Drug Related Issues in the Workplace Addiction in Families Codependency, Children of Alcoholic Families, Parenting Styles, Family Factors Relapse for Families, 'letting Go', Dependent Attitudes and Dependent Behaviours Al-Anon The Intervention Approach Working with Addiction Why be a 'Helper' Helper' Qualities and Attitudes Counselling / 'Helping' Skills Cognitive Behavioral Therapy for Eating Disorders CBT & Therapeutic Principles What is CBT (the CBT model) NICE Guideline The Therapeutic Alliance, Trust and Empathy Ethics of the therapy The Psychology & Causations of Eating Disorders Eating Disorders: Categorisations Core Psychopathology of Eating Disorders Co-morbid Psychiatric Illness Social and Family Factors Cognitive Factors Emotional Factors The Assessment & Planning First session - Assessment Dietary and Nutritional Issues Setting Goals With the Client Motivational Factors CBT in Practice Working with Anxiety The Socratic Approach (Socratic Questioning) Psychoeducation The 'Exposure' Technique Cognitive Restructuring Working With Beliefs (Shape, Weight, Food) Behavioural Experiments Reviewing & Wrapping Up Designing and Reviewing Action Plans Concluding Therapy Successfully Follow up and Relapse Prevention Thank you and Good Bye! Dialectical Behaviour Therapy (DBT) Training What is Counselling & Psychotherapy Definition of Counselling Counselling & Psychotherapy Approaches in Counselling & Psychotherapy About Dialectical Behaviour Therapy (DBT) What is DBT. What is 'Dialectical'. History & Philosophy of DBT DBT Strategies & 'Life Skills' What is 'Mindfulness' What is 'Distress Tolerance' What is 'emotion Regulation' What is 'Interpersonal Effectiveness' Treatment by DBT Multistage approach of DBT The Stages of Treatment in DBT Prioritising Treatments Target How to Set Up 'learning Environment' for the Client How to Conduct 'Behavioural Analysis' DBT for Psychological Disorders Uses of DBT DBT in the Treatment of Borderline Personality Disorder DBT in the Treatment of Depression DBT for Treatment of Anxiety & OCD DBT for Treatment of 'Eating Disorders' Effectiveness of DBT How Effective is DBT. Criticism and Limitations of DBT Thank You and Good Bye! Who should take this course? This Counselling and Psychotherapy Course is primarily aimed at: Therapist Psychologist Counsellor Rehab support worker Aspiring psychologist/counsellor Students of Psychology Anyone working in any care or therapeutic setting This course, on the other hand, is not restricted to a specific occupation or subject of study. It may also assist a larger group of people who wish to learn about Counselling and Psychotherapy in order to develop self-awareness and compassion towards people suffering from emotional and mental breakdowns. Entry Requirements There are no academic entry requirements for this Level 6 Counselling and Psychotherapy Course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Level 6 Counselling and Psychotherapy Course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Check out our Counselling and Psychotherapy Advanced Diploma Course Online and gain the skills and knowledge necessary to provide effective therapy to clients. Our course is designed to be flexible and accessible, allowing you to study at your own pace and from the comfort of your own home. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Are Counselling And Psychotherapy The Same? Counselling is a short-term treatment that focuses on a specific symptom or circumstance. In contrast, psychotherapy is a long-term strategy seeking a deeper understanding of a person's difficulties. What Are Counselling And Psychotherapy? Counselling and psychotherapy are used to treat emotional problems and mental health conditions. Counselling is a process in which a trained professional or counsellor provides support and guidance to people who are experiencing personal, psychological or emotional difficulties. And psychotherapy is a form of therapy that focuses on helping individuals to overcome their emotional, behavioural or psychological challenges. It is a treatment method for mental health disorders. Are Online Counselling Courses Recognised? The recognition of online counselling courses depends on various factors, including the institution offering the courses, the accreditation of the program, and the regulations and requirements of the specific region or country in which you intend to practise counselling. It's essential to thoroughly research and verify the credentials and accreditation of any online counselling course or program you are considering. Can You Do A Counselling Course Online? Yes, you can definitely pursue a counselling course online. There are various online platforms and educational institutions that offer accredited counselling courses at different levels including certificate programs, bachelor's programs and master's programs.

Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

Overview Psychology: Psychologist Training opens doors to a world where you can understand people better. This course gives you the tools to look at how people think, feel, and act. The UK's mental health field is growing fast, with more than 40,000 psychologists and therapists working in the NHS alone. This means there are many chances for new psychologists to find work and help others. Our course covers all the important parts of psychology.  You'll learn about how children grow up, why people do what they do, and how our brains work. We also teach you about different mental health issues and how to study human behaviour properly. By the end of the course, you'll know how to look at problems from many angles and help people with their mental health. This knowledge is useful in many jobs, not just as a psychologist. You could work in schools, hospitals, or even help businesses understand their workers better. If you like figuring out puzzles about how people tick, this course is for you. It's a chance to learn skills that can change lives and make the world a bit better. Join us to learn about the amazing science of the human mind and how you can use it to help others. In this course, you will: Understand the fundamental principles and approaches of psychology Analyse human behaviour, emotions, and cognitive processes Examine developmental stages from childhood through adulthood Explore various psychological disorders and their characteristics Apply research methods and assessments in psychological studies Evaluate ethical considerations in psychological practice and research Process of Evaluation After studying the Psychology : Psychologist course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Psychology : Psychologist course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Psychology : Psychologist is suitable for anyone aspiring to start a career in Psychology : Psychologist; even if you are new to this and have no prior knowledge on Psychology : Psychologist, this course is going to be very easy for you to understand.  And if you are already working in the Psychology : Psychologist field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Psychology : Psychologist course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Psychology : Psychologist course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Psychology : Psychologist course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Psychology : Psychologist course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Perspectives in Psychology Promo Video 00:01:00 What is Psychology 00:10:00 The Biological Approach 00:10:00 Behaviourist and Cognitive Approaches 00:10:00 Person-Centred Approaches 00:08:00 Research Methods in Psychology 00:12:00 Debates in Psychology 00:13:00 Social Psychology Social Influence: Compliance, Obedience and Conformity 00:10:00 Social Cognition 00:09:00 Applied Social Psychology 00:10:00 Cognitive Psychology and Its Applications Perception 00:10:00 Attention 00:07:00 Remembering (Memory) 00:10:00 Forgetting (Memory) 00:07:00 Language 00:10:00 Thinking (Cognition) 00:07:00 Attitudes 00:10:00 Problem-Solving and Artificial Intelligence 00:09:00 Child Development Issues in Child Development 00:05:00 Cognitive Development 00:07:00 The Development of Language and Communication 00:06:00 Social Perception (Interpersonal Perception) 00:06:00 Moral Development 00:09:00 The Psychology of Atypical (Abnormal) Behaviour The definition and Diagnosis of Atypical (Abnormal) Behaviour 00:07:00 Treatments of atypical (abnormal) behaviour 00:07:00 Emotional disorders 00:05:00 Research Methods Research Methods 00:06:00 Research Issues 00:06:00 Data Analysis 00:07:00 Thank You and Good Bye! 00:02:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies