Duration 4 Days 24 CPD hours This course is intended for Administrators, architects, and business leaders who manage Nutanix clusters in the datacenter Managers and technical staff seeking information to drive purchase decisions Anyone who is seeking the Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI) certification Overview During this program, attendees will: Develop a working knowledge of the Nutanix product family. Understand the requirements and considerations involved in setting up a Nutanix cluster. Familiarize themselves with cluster management and monitoring via the Prism web console. Learn how to create, manage, and migrate VMs, set up data protection services, and plan for business continuity. Understand how to plan and handle upgrades, assess future requirements, and create what-if scenarios to adress scaling for business needs. The Nutanix Enterprise Cloud Administration (ECA) course enables administrators (system, network, and storage) to successfully configure and manage Nutanix in the datacenter. The course covers many of the tasks Nutanix administrators perform through the use of graphical user interfaces (GUIs) and command line interfaces (CLIs). It also provides insight into a Nutanix cluster?s failover and self-healing capabilities, offers tips for solving common problems, and provides guidelines for collecting information when interacting with Nutanix Support Introduction The section describes the Nutanix HCI solution, walks you through the components of the Nutanix Enterprise Cloud, and explains the relationship between physical and logical cluster components. Managing the Nutanix Cluster In this section, you will use the Prism console to monitor a cluster, configure a cluster using various interfaces, use the REST API Explorer to manage the cluster, and learn how to deploy Nutanix-specific PowerShell cmdlets. Securing the Nutanix Cluster This section shows how to secure a Nutanix cluster through user authentication, SSL certificate installation, and cluster access control. Acropolils Networking This section explains how to configure managed and unmanaged Acropolis networks and describes the use of Open vSwitch (OVS) in Acropolis. You will learn how to display and manage network details, differentiate between supported OVS bond modes, and gain insight into default network configuration. VM Management This section shows you how to upload images, and how to create and manage virtual machines. Health Monitoring and Alerts In this section, you will use the Health Dashboard to monitor a cluster?s health and performance. You will also use Analysis Dashboard to create charts that you can export with detailed information on a variety of components and metrics. Distributed Storage Fabric This section discusses creating and configuring storage containers, including the storage optimization features: deduplication, compression, and erasure coding. AHV Workload Migration Using Nutanix Move, this section shows how to migrate workloads to a cluster running AHV. This is followed by a lab where a VM running on a Nutanix cluster configured with ESXi is migrated to a Nutanix cluster running AHV. File and Volumes This section gives you detailed information on Nutanix Volumes, which provides highly available, high-performance block storage through a few easy configuration steps. It also discusses Nutanix Files. Understanding Infrastructure Resiliency This section shows how Nutanix provides comprehensive data protection at all levels of the virtual datacenter: logical and physical. Data Protection Data can be replicated between Nutanix clusters, synchronously and asynchronously. This section shows how to configure a Protection Domain (PD) and Remote Sites, recover a VM from a PD, and perform a planned failover of a PD. Prism Central Having discussed and used Prism Element earlier, this section looks at the capabilities of Prism Central. With the added functionality provided by a Pro license, the focus is on features related to monitoring and managing multiple activities across a set of clusters. Monitoring the Nutanix Cluster This section shows you where to locate and how to interpret cluster-related log files. In addition, you will take a closer look at the Nutanix Support Portal and online help. Cluster Management and Expansion This section outlines essential life-cycle operations, including starting/stopping a Nutanix cluster, as well as starting/shutting down a node. You will also learn how to expand a cluster, manage licenses, and upgrade the cluster?s software and firmware. Remote Office Branch Office (ROBO) Deployments In this section, you will understand various configurations and requirements specific to a ROBO site. This includes hardware/software, Witness VM, networking, failure and recovery scenarios for two-node clusters, and the seeding process. Additional course details: Nexus Humans NECA: Nutanix Enterprise Cloud Administration 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 NECA: Nutanix Enterprise Cloud Administration 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 covers all the requirements of the Microsoft AZ-300 and AZ-303 exams. You will get a detail-oriented approach to all the important concepts that will help you pass the exams and design solutions for the Microsoft Azure platform.
The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.
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 IFâ¦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
Introducing the 'Python Programming Bible | Networking, GUI, Email, XML, CGI' - your comprehensive, all-in-one resource for mastering Python! Are you an aspiring developer looking to dive into the ocean of Python programming or a seasoned coder seeking to level up your Python game? Look no further! Our course is expertly designed to take you from the basics to the complexities of Python, including Networking, GUI, Email, XML, and CGI. If you've ever dreamt of not just learning Python but truly mastering it, this is the course for you. This program is designed to provide a solid foundation and sharpen your skills in one of the most in-demand programming languages, while also introducing you to its many applications. This course starts with the basics of Python, providing a gentle yet thorough introduction and setup that caters to beginners as well as those looking to refresh their Python knowledge. As we study deeper into the heart of Python, we dive into objects, classes, and the power of regular expressions. But it doesn't stop there! You'll also become comfortable with concepts like CGI programming, which is an important building block for creating dynamic web pages. Navigating from core programming, we transition into the intricacies of managing databases and executing multithreading in Python. You'll gain the confidence to handle complex data management tasks, understand how Python interacts with databases, and efficiently manages multiple tasks simultaneously. The XML section allows you to get hands-on with parsing, data extraction, and manipulation, while the GUI section unveils the art of creating beautiful, user-friendly interfaces using Python. The course is enriched with a diverse set of resources, including real-world projects, quizzes, and interactive coding exercises. This is more than just a course, it's your passport to a new realm of opportunities, unlocking a world where Python programming is your strength, not just a skill. So whether you're a student aiming to get a head start on your peers, a professional looking to diversify your skills, or an enthusiast wanting to dive deeper into the Python universe, the Python Programming Bible is the starting point for your journey to becoming a Python expert. Enrol today and step into a future of endless opportunities with Python! Learning Outcomes: Upon completion of the Python Programming Bible course, you should be able to: Understand and implement Python basics and advanced concepts. Build object-oriented programs with Python. Utilise regular expressions for pattern-matching tasks. Develop dynamic web pages using CGI programming. Interact with databases efficiently using Python. Apply multithreading for better utilisation of resources. Process and manipulate data using XML in Python. Design and create user-friendly GUIs with Python. Who is this course for? This Python Programming Bible course is ideal for the following: Beginners aiming to learn Python from scratch. Professionals looking to broaden their programming skills. Students pursuing a degree in Computer Science. Web developers looking to integrate Python into their toolkit. Data enthusiasts aiming to handle data with Python. Career Path: This Python Programming Bible course will help you to develop your knowledge and skills to pursue different careers, such as: Python Developer: (£35,000 - £70,000). Data Analyst: (£27,000 - £55,000). Web Developer: (£24,000 - £60,000). Data Scientist: (£45,000 - £90,000). Machine Learning Engineer: (£50,000 - £90,000). Software Developer: (£30,000 - £70,000). Certification After studying the course materials of the Python Programming Bible | Networking, GUI, Email, XML, CGI 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Prerequisites This Python Programming Bible | Networking, GUI, Email, XML, CGI does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming Bible | Networking, GUI, Email, XML, CGI 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. Course Curriculum Section 01: Introduction & Setup Introduction 00:02:00 Setup on Mac OS X 00:03:00 Setup On Linux/Ubuntu 00:03:00 Setup On Windows 00:03:00 Run Code Online 00:03:00 Section 02: Basics Comments 00:02:00 Variables & Variable Types 00:05:00 Lists 00:04:00 Tuples 00:03:00 Dictionary 00:06:00 Data Type Conversion 00:02:00 Arithmetic Operators 00:05:00 Comparison Operators 00:03:00 Assignment Operators 00:03:00 Bitwise Operators 00:10:00 Logical Operators 00:07:00 Membership Operators 00:02:00 Identity Operators 00:02:00 Operator Precedence 00:03:00 Decision Making 00:09:00 Loops 00:06:00 Loop Control Statements 00:05:00 Numbers 00:05:00 Strings 00:12:00 Lists In Depth 00:05:00 Tuples In Depth 00:06:00 Dictionary In Depth 00:08:00 Date & Time 00:07:00 Functions 00:11:00 Modules 00:05:00 File Inputs & Outputs 00:13:00 Handling Exceptions 00:07:00 Section 03: Classes/Objects Simple Example 00:04:00 Creating Instance Objects 00:01:00 Accessing Attributes 00:04:00 Constructor New & Init Method 00:06:00 Destroying Objects 00:02:00 Class Inheritance 00:04:00 Overriding Methods 00:03:00 Overloading Methods 00:01:00 Overloading Operators 00:04:00 Data Hiding 00:03:00 Section 04: Regular Expressions Match Function 00:05:00 Search Function 00:02:00 Advanced Expressions 00:05:00 Search & Replace 00:03:00 Section 05: CGI Programming Basic CGI Programming 00:08:00 Get Method 00:06:00 Post Method 00:05:00 Cookies 00:05:00 Section 06: Database Setup Database 00:02:00 Connect To Database 00:05:00 Create Table 00:03:00 INSERT Operation 00:04:00 READ Operation 00:06:00 UPDATE Operation 00:02:00 DELETE Operation 00:02:00 Simple Network Example 00:04:00 Simple Client 00:04:00 Section 07: Multithreading Initiate a New Thread 00:07:00 Create Thread 00:06:00 Synchronise Threads 00:03:00 Multithreaded Priority Queue 00:09:00 Section 08: XML Parse an XML File 00:10:00 Section 09: GUI Introduction 00:02:00 Button Preview 00:03:00 Canvas 00:04:00 Checkbutton 00:02:00 Entry 00:02:00 Frame 00:04:00 Label 00:02:00 List Box 00:02:00 Menu button 00:03:00 Menu 00:08:00 Message 00:02:00 Radio button 00:05:00 Scale 00:03:00 Scrollbar 00:04:00 Text 00:03:00 Top-level 00:02:00 Spinbox 00:02:00 Paned Window 00:03:00 Message Box 00:02:00 Label Frame 00:02:00 Section 10: Resource Resource 00:00:00 Assignment Assignment - Python Programming Bible | Networking, GUI, Email, XML, CGI 00:00:00
Register on the R Programming for Data Science 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 R Programming for Data Science 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 R Programming for Data Science 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 After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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 R Programming for Data Science, 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next? 00:01:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00
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This course covers all relevant topics. We are committed to providing you with the best educational experience possible as one of the leading course providers and most renowned e-learning specialists online. This Counselling & Psychology Diploma course was created in collaboration with experts and mentors to help you learn quickly and efficiently, at your own pace and ease. We leave no stone unturned, and whether you are ready to take this Counselling & Psychology Diploma course in your career or simply want to improve your current skills, we will assist you every step of the way. When you study for a qualification online, you have complete control over your study schedule; there are no time-consuming classes to attend or long commutes to endure. The skills you learn here could lead to a lifelong career in counselling and psychology by which you can help those who are in need while also feeling proud of your accomplishments. Pursue your goals by enrolling in our course now and gain the knowledge, skills, and information you need to advance your career. This course will help you empower yourself with the skills you need to get your ideal job. Detailed course curriculum of *** Counselling : Counselling *** Module 1: Introduction: Toward an Integrative Approach in Counselling Introduction Historical Background Integration I: Counselling in Positive Psychology Integration II: Counselling in Multicultural Populations Module 2: Therapeutic Relationship: Exploring Clients' Symptoms and Strengths What is Positive Empathetic Rapport? Understand Clients' Strengths and Characters Positive Empathetic Rapport in a Multicultural Context Module 3: Powered by Struggles and Strengths Current Counselling Theories: Are They Enough? What is Missing from the Current Theories? Positive Psychology: A New Blood to the Field? Module 4: Positive Psychology in Counselling: What is It? Definition of Positive Psychology Historical Context Theoretical Principles Limitations of Positive Psychology Positive Psychology for Multicultural Population Module 5: Psychoanalytic Therapy Historical Context Theoretical Principles An Integration: Positive Psychology and Psychoanalytic Therapy Multiculturalism the Integration Module 6: Adlerian Therapy Historical Context View of Human Nature Theoretical Principles An Integration: Positive Psychology and Adlerian Therapy Multiculturalism the Integration Module 7: Existential Therapy Historical Context View of Human Nature Theoretical Principles An Integration: Positive Psychology and Existential Therapy Multiculturalism the Integration Module 8: PersonâCentred Therapy Historical Context View of Human Nature Theoretical Principles An Integration: Positive Psychology and PersonâCentred Therapy Multiculturalism the Integration Module 9: Gestalt Therapy Historical Context View of Human Nature Theoretical Principles An Integration: Positive Psychology and Gestalt Therapy Multiculturalism the Integration Module 10: Behaviour Therapy Historical Context View of Human Nature Theoretical Principles An Integration: Positive Psychology and Behaviour Therapy Multiculturalism the Integration Module 11: CognitiveâBehaviour Therapy Historical Context View of Human Nature Theoretical Principles An Integration: Positive Psychology and CognitiveâBehaviour Therapy Multiculturalism the Integration Module 12: Reality Therapy Historical Context View of Human Nature Theoretical Principles An Integration: Positive Psychology and Reality Therapy Multiculturalism the Integration Module 13: Feminist Therapy Historical Context View of Human Nature Theoretical Principles An Integration: Positive Psychology and Feminist Therapy Multiculturalism the Integration Module 14: Family Therapy Historical Context Theoretical Principles An Integration: Positive Psychology and Family Therapy Multiculturalism the Integration ------------------- ***Other Courses: ------------------- ***Adult Nursing Training Module 01: Introduction to Nursing Module 02: Working in Different Healthcare Settings Module 03: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Module 04: Effective Communication in Nursing Module 05: Health and Safety in Nursing Module 06: Hygiene and Infection Control in Nursing Module 07: Asepsis in Nursing ------------------- ***Level 5 Diploma in Medical & Clinical Administration Module 01: Introduction to Medical and Clinical Administration Module 02: Organise Schedules Module 03: Maintaining Medical Records Module 04: Effective Filing Systems in Medical Offices Module 05: Confidentiality in a Medical Environment Module 06: Controlling Stocks and Supplies Module 07: Medical Jargon and Terminology Module 08: Maintaining Workplace Safety Module 09: Information Technology in Health Care Module 10: Medical (Clinical) Coding and Billing Assessment Method After completing each module of Counselling course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for Counselling course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Counselling course is suitable for anyone who wants to start a career as a psychologist or counsellor, as well as professionals who want to test their existing skills and knowledge. Requirements There are no specific requirements for this course because it does not require any advanced knowledge or skills. Students who intend to enrol in this Counselling course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path After completing this Counselling course, candidates may pursue careers such as: Operating Own Counselling Practice Careers Counsellor or Adviser Family and Marriage Counsellor Rehabilitation Counsellor Certificates Certificate of completion Digital certificate - Included
Course Overview: The demand for User Experience (UX) and User Interface (UI) designers is skyrocketing. Our Advanced Diploma in User Experience UI/UX Design is a comprehensive program that equips you with the knowledge and skills to craft seamless and user-centric designs that leave a lasting impact.Through a series of thoughtfully designed modules, learners will not only gain an understanding of UX/UI but also the dynamics of the Web Industry, Graphic Design implications, and the intricate details of UX Design, followed by an extensive dive into UI Design and Optimization techniques. Ultimately, the course incorporates a holistic understanding of the Careers in UX/UI, empowering students to venture confidently into this promising field.Enrol in this Advanced Diploma in User Experience UI/UX Design course today and start your journey to a successful career in UX or UI design! Key Features of the Course: CPD Certification 24/7 Learning Assistance Interesting Learning Materials Who is This Course For? This Advanced Diploma in User Experience UI/UX Design course is ideal for aspiring UX/UI designers, web developers, graphic designers, product managers, and professionals looking to enhance their design skills. Whether you are a beginner or have some experience in design, this course will help you develop a solid foundation and master the intricacies of UX/UI design. What You Will Learn: In the first part of the Advanced Diploma in User Experience UI/UX Design course, you will dive into the fundamentals, including the difference between UX and UI, the roles and responsibilities of designers in a team, and an overview of the web development process. You will also explore the psychology of colour, working with fonts and icons, and the essential tools and techniques used in graphic design. Moving forward, you will uncover the core principles of UX design, learn how to analyse user profiles, identify pain points, and create user personas. You will gain insights into customer journeys, sales funnels, and the principles of influence. Through hands-on projects, you will develop skills in creating storyboards, mood boards, and information architecture. In the latter part of the course, you will focus on wireframing, prototyping, and testing, ensuring your designs are user-friendly and intuitive. You will learn about usability reports, the "Above the Fold" rule, and optimisation using analytics and heat maps. The course also provides valuable guidance on launching a UX/UI design career, including freelancing, personal branding, and building a professional website. Why Enrol in This Course: Join thousands of satisfied learners who highly rated this Advanced Diploma in User Experience UI/UX Design course for its comprehensive curriculum and effective approach. Benefit from up-to-date industry insights and the latest design trends, ensuring you stay ahead of the curve. UX/UI design is one of the fastest-growing fields, offering abundant job opportunities and career growth potential. Develop your design thinking and problem-solving skills, unleashing your creative potential to craft extraordinary user experiences. Requirements: Enrolling in this Advanced Diploma in User Experience UI/UX Design course requires a basic understanding of design concepts and access to a computer with an internet connection. No prior coding or design experience is required. Career Path: Upon completing this Advanced Diploma in User Experience UI/UX Design course, you will be well-prepared for a range of exciting career opportunities, including: UX/UI Designer (£35,000 - £55,000 per annum) Web Developer (£30,000 - £45,000 per annum) Graphic Designer (£25,000 - £40,000 per annum) Product Manager (£40,000 - £70,000 per annum) UX Researcher (£35,000 - £50,000 per annum) Interaction Designer (£35,000 - £60,000 per annum) User Experience Architect (£45,000 - £75,000 per annum) Certification: Upon completing the Advanced Diploma in User Experience UI/UX Design course, you will receive a CPD certificate, widely recognised as a mark of excellence in the professional development of individuals. Enrol today and join the ranks of successful designers who have harnessed the power of user-centric design to create remarkable digital experiences. Course Curriculum 9 sections • 112 lectures • 12:52:00 total length •Learn UX/UI Course Overview: 00:05:00 •Section Overview: 00:04:00 •UX vs UI: 00:04:00 •UX/UI Designer Marketplace: 00:05:00 •Overview of UX Roles: 00:06:00 •Web Industry Section Overview: 00:03:00 •The Phases of Web Development: 00:13:00 •Designer Responsibilities (working in a team): 00:09:00 •Roles & Descriptions (working in a team): 00:05:00 •Agile Approach To Project Management: 00:12:00 •Scrum - Flexible Framework: 00:06:00 •Project Management Apps: 00:13:00 •XD Lesson - Introduction: 00:13:00 •Graphic Design Section Overview: 00:02:00 •The Psychology of Color: 00:13:00 •Color Wheel & Color Schemes: 00:06:00 •Working with Fonts: 00:10:00 •Working With Icons: 00:04:00 •XD Lesson - Tools, Object Manipulation and Components: 00:13:00 •XD Lesson - Font Styles and Artboard Settings: 00:07:00 •Graphic Design Software Tools: 00:03:00 •Adobe XD lesson 4 - Icons & Vector Graphics: 00:14:00 •UX Design Section Overview: 00:04:00 •What is User Experience Design? (UX): 00:09:00 •UX Design Process: 00:03:00 •The UX Analysis Process: 00:08:00 •Working with User Profiles: 00:03:00 •Understanding User Pain Points: 00:03:00 •XD Lesson 5 Class Project: Сompetitive Analysis: 00:10:00 •Developing a Persona Part 1: 00:05:00 •Developing a Persona Part 2: 00:05:00 •Customer Journey: 00:04:00 •Customer Journey vs Sales Funnel: 00:04:00 •3 Phases of a Sales Funnel: 00:07:00 •4 Stages of a Sales Funnel: 00:06:00 •Macro/Micro Conversions: 00:05:00 •Stages of Market Sophistication: 00:06:00 •Lead Generation Funnel: 00:06:00 •Digital Product Sales Funnel: 00:05:00 •7 Principles of Influence: 00:12:00 •Age Based Influence Triggers: 00:06:00 •Gender Influence Triggers: 00:06:00 •Interest Based Marketing: 00:04:00 •Understanding User Flow: 00:08:00 •XD Lesson 6 Class Project: Userflow - Your first UX deliverable: 00:07:00 •Working with Story Boards: 00:05:00 •XD Lesson 7 Class Project: Crafting a Story board: 00:09:00 •Working with Moodboards: 00:04:00 •XD Lesson 8 Class Project: Creating Moodboard: 00:11:00 •Sitemap & Information Architecture: 00:07:00 •XD Lesson - Class Project: App Architecture: 00:09:00 •Low and Hi Fidelity Wireframes: 00:03:00 •XD Lesson - Class Project: Login Screen Wireframe Using Material Design: 00:08:00 •Working with Prototypes: 00:04:00 •XD Lesson - Class Project: Home Screen Wireframe and Linking: 00:07:00 •XD Lesson - Class Project: Adding Interaction to Wireframes: 00:10:00 •Testing and Evaluating: 00:11:00 •UX Deliverables: 00:03:00 •UX Design Conclusion: 00:01:00 •UI Design Section Overview: 00:03:00 •UI Design Overview: 00:03:00 •Types of Interfaces: 00:10:00 •Landing Pages Overview: 00:10:00 •XD Lesson - Using Grids in XD: 00:08:00 •XD Lesson - Single Card design: 00:13:00 •UI Controls: 00:07:00 •UI Components: 00:12:00 •Navigational Components: 00:12:00 •Header Design Overview: 00:07:00 •XD Lesson - Mobile & Desktop: Header Design: 00:10:00 •XD Lesson - Mobile & Desktop: Dropdown Design: 00:06:00 •Common Layouts Overview: 00:08:00 •XD Lesson - Common Layouts: 00:07:00 •Mobile & Desktop Footer Design Overview: 00:07:00 •XD Lesson - Mobile & Desktop: Footer Design: 00:06:00 •Mobile & Desktop Button Design Overview: 00:05:00 •XD Lesson - Mobile & Desktop: Button Design: 00:10:00 •XD Lesson - Mobile & Desktop: Input Design: 00:07:00 •Mobile & Desktop Filter Search Bar Design Overview: 00:06:00 •Adobe XD Lesson - Mobile & Desktop: Filter Design: 00:07:00 •Adobe XD Lesson - Mobile & Desktop: Search Design: 00:03:00 •UI Kit Overview: 00:05:00 •Adobe XD Lesson - Desktop and Mobile: UI Kit: 00:06:00 •Microinteractions Overview: 00:05:00 •Adobe XD lesson - Microinteractions: 00:07:00 •Optimization Section Overview: 00:02:00 •Feedback Review & Getting Referrals: 00:04:00 •'Above the Fold' Rule: 00:04:00 •Adobe XD lesson - Designing a Powerful Above the Fold: 00:08:00 •Using Analytics For Optimization: 00:05:00 •Heat Maps & Element Placements: 00:04:00 •Crafting A Usability Report Overview: 00:08:00 •Adobe XD lesson - Crafting Reports in XD: 00:20:00 •Careers in UX/UI Section Overview: 00:06:00 •Your Daily Productivity Hub: 00:14:00 •How To Start Freelancing: 00:08:00 •Client Consulting: 00:04:00 •Building a Brand: 00:10:00 •Personal Branding: 00:06:00 •The Importance of Having a Website: 00:08:00 •Creating a Logo: 00:05:00 •Step by Step Website Setup: 00:17:00 •UI Templates: 00:06:00 •Logo Templates: 00:04:00 •Creating a Business Email: 00:06:00 •Networking Do's and Don'ts: 00:04:00 •Top Freelance Websites: 00:10:00 •UX/UI Project Scope Questions: 00:10:00 •Laser Focus & Productivity Tools: 00:06:00 •The Places to Find UX Jobs: 00:05:00 •Resources - Advanced Diploma in User Experience UI/UX Design: 00:00:00 •Assignment - Advanced Diploma in User Experience UI/UX Design: 00:00:00
This comprehensive .NET Core course will provide a strong foundation in clean architecture, SOLID principles, and help implement the CQRS and Mediator patterns. You will also learn to build and consume APIs in a Blazor WebAssembly application. The course content is fully compatible with .NET 6 and .NET 7, ensuring you are up-to-date with the latest version.
The purpose of this course is to teach you how to use Python for machine learning to create real-world algorithms. You will gain an in-depth understanding of the fundamentals of deep learning. This course will help you explore different frameworks in Python to solve real-world problems using the core concepts of deep learning and artificial intelligence.