1242 Statistics courses

Getting Started The Master of Business Administration Top Up is a prestigious postgraduate qualification that leading employers highly value. The programme is designed to enhance business managers' strategic thinking and decision-making and develop their critical understanding of business management. The programme is designed for individuals who hold a Qualifi Level 7 Diploma in Strategic Management and Leadership. This programme covers the core business sectors: entrepreneurship, marketing, accounting, statistics, finance, business ethics, business law, managerial economics, business strategy and analysis, operations, administration and communication. This programme, qualified from UK business schools, is well acknowledged and globally respected as it dominates critical thinking and research. MBA can also help you specialise in a new industry you want to move to or in your current sector. This professional qualification improves the chances of progression in a career path. This qualification helps the learner to oversee, supervise and allocate the operations in a business firm. The programme aims to make the candidate capable of understanding the functional aspects of a company and acquiring the skills for communication and decision-making. The MBA Top-Up programme is awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Anglia Ruskin University began in 1858 as the Cambridge School of Art founded by William Beaumont. It was then merged with the Cambridge shire College of Arts and Technology and the Essex Institute of Higher Education and was renamed Anglia Polytechnic. It was then given university status in 1992 and renamed Anglia Ruskin University in 2005. The university has campuses in the UK (Cambridge, Chelmsford, London and Peterborough), as well as they are partnered with institutions around the world including Berlin, Budapest, Trinidad, Singapore and Kuala Lumpur. Assessment Major Project No examinations Entry Requirements Qualifi Level 7 Diploma in Strategic Management and Leadership or any equivalent diploma Further, candidates are also required to demonstrate their English language proficiency. Progression An MBA graduate can pursue a fruitful career in many industries. MBA can open career opportunities in various sectors such as banking and financial services, investment banking, management consulting, insurance, hospitality, media, information technology (IT) and marketing. MBA is often a pathway to promotion or a career change as you will gain a professional reputation and develop essential skills in the sector one chooses to pursue. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure MBA Top-Up Programme Structure Dissertation (Major Project) Delivery Methods The MBA Top-Up programme is awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

QLS Levle 5 Endorsed | CPD Certified | Free Hard Copy QLS Certificate | Free CPD Certified Hard Copy & PDF Certificates Imagine a world where you can make a significant difference in the lives of individuals and communities. In today’s evolving landscape of healthcare and social services, professionals equipped with the right knowledge are essential. The Level 5 Diploma in Health & Social Care is designed to empower you with theoretical insights and a comprehensive understanding of care principles, ensuring you are well-prepared to navigate the complexities of this vital sector. Research indicates that roles in health & social care are among the fastest-growing professions, with a projected growth rate of 11% through 2028, according to the U.S. Bureau of Labor Statistics. Additionally, the average salary for health & social care professionals in the UK ranges from £20,000 to £40,000 annually, depending on the specific role and level of responsibility. By enrolling in the Level 5 Diploma in Health & Social Care, you position yourself at the forefront of this rewarding field. Our Health & social care course offers an in-depth exploration of care standards, administration, clinical observation, and much more, paving the way for a fulfilling career dedicated to supporting those in need. The Level 5 Diploma in Health & Social Care bundle, in its profound breadth, offers you a comprehensive theoretical roadmap. Upon completing this Health & Social Care course, you'll deeply understand core Health & Social care concepts. By choosing this Health & Social Care bundle, you're not just gearing up for a career - you're preparing to shape the future of health and societal wellbeing. Key Highlight of the Health & Social Care Course QLS Endorsed CPD Certified Free QLS Certificate Free CPD Certificates Lifetime Access 24/7 Full Tutor Support Self Paced Learning Any Device Compatible Courses in this Health & Social Care Bundle Course 01: Diploma in Health & Social Care at QLS Level 5: Gain a robust foundation in Health & Social Care principles, preparing you for leadership roles in the sector. Course 02: Care Certificate (Standards 1 to 15): Understand essential care standards that ensure high-quality support for individuals in various settings. Course 03: Clinical Observations Skills: Develop essential skills for accurately monitoring and reporting health changes in individuals under your care. Course 04: Adult Support Worker: Explore the role of an adult support worker and learn to provide effective assistance to adults in need. Course 05: Control and Administration of Medicines: Master the theoretical aspects of medication administration, ensuring safe practices in care environments. Course 06: Care Planning and Record Keeping: Learn the importance of effective care planning and accurate record-keeping for optimal patient outcomes. Course 07: End of Life Care: Understand the principles of providing compassionate care to individuals and families during end-of-life situations. The Level 5 Diploma in Health & Social Care is your gateway to a meaningful career in health and social services. With a focus on theoretical knowledge and its application, this Health & Social Care course ensures you are well-equipped to contribute positively to the lives of those you serve. Health & Social Care Course Learning Outcomes Master theoretical underpinnings of Health & Social care. Comprehend Care Certificate standards thoroughly. Understand the nuances of clinical observations. through this Health & social care course. Grasp the responsibilities of an adult support worker. Delve into control and administration of medicines. Learn the intricacies of care planning and record-keeping. Gain insights into the compassionate realm of end-of-life care with this Health & social care couse. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Health & Social Care bundle course is ideal for: Aspiring Health & Social care professionals Caregivers seeking advanced theoretical knowledge Medical administrators and coordinators Individuals passionate about societal well-being Requirements To enrol in this Health & Social Care course, all you need is a basic understanding of the English Language and an internet connection. Career path The Level 5 Diploma in Health & Social Care offers various career opportunities in the healthcare and social services sector. Here are some potential paths you can pursue: Health & Social Care Manager: Oversee care facilities and ensure high-quality services of Health & social care. Care Coordinator: Manage care plans and work with healthcare professionals. Clinical Support Worker: Assist healthcare teams in patient care. Adult Support Worker: Provide assistance to adults with health issues or disabilities. Social Services Manager: Develop programs and policies for individuals and communities in need. Care Quality Assessor: Evaluate care services to maintain quality standards. Health and Wellbeing Advisor: Guide individuals in improving their health and wellbeing. End of Life Care Specialist: Support patients and families during end-of-life situations. With a focus on theoretical knowledge, the Level 5 Diploma in Health & Social Care prepares you for a rewarding career dedicated to positively impacting the lives of others. Certificates CPD Accredited Certificate of Completion Hard copy certificate - Included Delivery Charge: Inside the UK: £3.99 each Outside of the UK: £9.99 each CPD Accredited Certificate of Completion Free Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

Duration 5 Days 30 CPD hours This course is intended for In order to be successful in this course you should have incoming hands-on experience with another programming language. This course is not for non-developers or new developers. Possible roles that may attend this course include: Software Developers: Professionals who have been working with other programming languages and want to expand their skillset by learning Java and its object-oriented features. Web Developers: Those who work on web applications and want to enhance their back-end development capabilities with Java. Mobile App Developers: Developers who wish to enter the world of Android app development, where Java is a widely used language for creating mobile applications. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how?it relates to OO programming and the Object Model Learn to use Java exception handling Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Become familiar with the concept of functional programming using Lambda Expressions Process large amounts of data using the Stream API introduced in Java 8 Discover the new Date/Time API Use the JDBC API for database access Work with annotations Take advantage of the Java tooling that is available with the programming environment being used in the class Java 8 Features: Lambda Expressions, Method and Constructor references, The Streams API, Collectors, The Optional class Geared for experienced developers, Basic Java Programming for Developers New to OO, this hands-on, workshop-style course will provide you with an immersive learning experience that will expand your skillset and open doors to new opportunities within the ever-growing technology landscape. Mastering Java and its powerful capabilities will provide you with the competitive edge you need to stand out in today's fast-paced development world. Working in a hands-on learning environment led by our expert coach, you?ll thoroughly explore the foundations of the Java platform, essential programming concepts, and advanced topics, ensuring you acquire a strong understanding of the language and its ecosystem. The object-oriented programming principles taught in this course promote code reusability and maintainability, enabling you to streamline development processes and reduce long-term costs. As you progress through the course, you will also gain familiarity with using an IDE, enhancing your development workflow and collaboration with other Java developers, enabling you to integrate seamlessly into new projects and teams. You?ll also gain practical experience in applying the concepts and techniques learned, solidifying your newly acquired skills and facilitating their direct application in real-world scenarios. You?ll exit this course empowered to create robust, scalable, and efficient Java-based applications that drive innovation and growth for your organization The Java Platform The Java Platform Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Explain the JDK?s file structure Use the command line compiler to compile a Java class Use the command line Java interpreter to run a Java application class The IntelliJ Paradigm Introduce the IntelliJ IDE The Basics of the IntelliJ interface IntelliJ Projects and Modules Creating and running Java applications Writing a Simple Class Write a Java class that does not explicitly extend another class Define instance variables for a Java class Create object instances Primitives vs Object References Implement a main method to create an instance of the defined class Adding Methods to the Class Write a class with accessor methods to read and write instance variables Write a constructor to initialize an instance with data Write a constructor that calls other constructors of the class to benefit from code reuse Use the this keyword to distinguish local variables from instance variables Object-Oriented Programming Real-World Objects Classes and Objects Object Behavior Methods and Messages Inheritance, Abstraction, and Polymorphism Encapsulation Inheritance Method Overriding Polymorphism Essential Java Programming Essential Java Programming Language Statements Arithmetic operators Operators to increment and decrement numbers Comparison operators Logical operators Return type of comparison and logical operators Use for loops Switch Expressions Switch Expressions and yield Using Strings and Text Blocks Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer,and StringBuilder Compact Strings Text Blocks Specializing in a Subclass Constructing a class that extends another class Implementing equals and toString Writing constructors that pass initialization data to parent constructor Using instanceof to verify type of an object reference Pattern matching for instanceof Overriding subclass methods Safely casting references to a more refined type Fields and Variables Discuss Block Scoping Rules Distinguish between instance variables and method variables within a method Explain the difference between the terms field and variable List the default values for instance variables Final and Static fields and methods Local Variable type inference Using Arrays Declaring an array reference Allocating an array Initializing the entries in an array Writing methods with a variable number of arguments Records Data Objects in Java Introduce records as carrier of immutable data Defining records Java Packages and Visibility Use the package keyword to define a class within a specific package Discuss levels of accessibility/visibility Using the import keyword to declare references to classes in a specific package Using the standard type naming conventions Visibility in the Java Modular System Correctly executing a Java application class The Java modular system Defining Modules Inheritance and Polymorphism Write a subclass with a method that overrides a method in the superclass Group objects by their common supertype Utilize polymorphism Cast a supertype reference to a valid subtype reference Use the final keyword on methods and classes to prevent overriding Interfaces and Abstract Classes Define supertype contracts using abstract classes Implement concrete classes based on abstract classes Define supertype contracts using interfaces Implement concrete classes based on interfaces Explain advantage of interfaces over abstract classes Explain advantage of abstract classes over interfaces Static, default and private methods in interfaces Sealed classes Introduce Sealed classes The sealed and permits modifiers Sealed Interfaces Exception Handling Introduction to Exception Handling Introduce the Exception architecture Defining a try/catch blocks Checked vs Unchecked exceptions Exceptions Defining your own application exceptions Automatic closure of resources Suppressed exceptions Handling multiple exceptions in one catch Helpful Nullpointers Enhanced try-with-resources Java Developer's Toolbox Developing applications Introduce the wrapper classes Explain Autoboxing and Unboxing Converting String representations of primitive numbers into their primitive types Defining Enumerations Using static imports Deprecating methods Advanced Java Programming Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls To Generics When Generics Should Be Used Lambda Expressions and Functional Interface Understanding the concept of functional programming Writing lambda expressions Understanding functional interfaces Collections Provide an overview of the Collection API Review the different collection implementations (Set, List and Queue) Explore how generics are used with collections Examine iterators for working with collections Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Bonus Topics: Time Permitting Streams Understanding the problem with collections in Java Thinking of program solutions in a declarative way Use the Stream API to process collections of data Understand the difference between intermediate and terminal stream operations Filtering elements from a Stream Finding element(s) within a Stream Collecting the elements from a Stream into a List takeWhile and dropWhile intermediate operations Collectors Using different ways to collect the items from a Stream Grouping elements within a stream Gathering statistics about numeric property of elements in a stream

Diploma in Clinical Psychology Course Online The Diploma in Clinical Psychology course covers a wide range of mental health disorders and provides practical and theoretical knowledge on various forms of psychology and their approaches and applications. It examines the main characteristics of good mental health and then introduces some key statistics about mental health in the United Kingdom. Our comprehensive Diploma in Clinical Psychology course is the perfect way to kickstart your career in the field of psychology. The Diploma in Clinical Psychology course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. Main Course: Diploma in Clinical Psychology Free Courses Course 01: Psychological Wellbeing Practitioner Course 02: Diploma in Counselling and Psychology Course 03: Diploma in Mastering Psychology [ Note: Free PDF certificate as soon as completing the Diploma in Clinical Psychology course] Diploma in Clinical Psychology Course Online Industry Specialists developed this Diploma in Clinical Psychology Course into 12 user-friendly modules/ lectures. Assessment Method of Diploma in Clinical Psychology Course After completing Diploma in Clinical Psychology Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Diploma in Clinical Psychology Course After completing the Diploma in Clinical Psychology course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Diploma in Clinical Psychology Course Online This Diploma in Clinical Psychology course is ideal for anyone looking to start a career in the field of psychology or counselling. Requirements Diploma in Clinical Psychology Course Online To enrol in this Diploma in Clinical Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Diploma in Clinical Psychology Course. Be energetic and self-motivated to complete our Diploma in Clinical Psychology Course. Basic computer Skill is required to complete our Diploma in Clinical Psychology Course. If you want to enrol in our Diploma in Clinical Psychology Course, you must be at least 15 years old. Career path Diploma in Clinical Psychology Course Online This Diploma in Clinical Psychology course will prepare you for a variety of career paths.

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Overview Be prepared for the upcoming Hiring Season by enhancing your professional skillsets with Apex Learning! Get Hard Copy + PDF Certificate + Transcript + Student ID Card as a Gift - Enrol Now! Tired of browsing and searching for the English Essentials course you are looking for? Can't find the complete English package that fulfils all your English learning needs? Then don't worry, as you have just found the ultimate English solution. Take a minute and look through this 11-in-1 extensive English Essentials bundle that has everything you need to succeed in English and other English-relevant fields! This comprehensive English Essentials course bundle is designed to elevate your English skills to new heights. Whether you're looking to master English grammar, expand your English vocabulary, or improve your English communication abilities, this English package has it all. With multiple English modules covering various English topics, you can tailor your English learning experience to meet your specific English goals. Furthermore, to help you showcase your expertise in English, we have prepared a special gift of 1 hardcopy English certificate and 1 PDF English certificate for the title course, completely free of cost. This English certificate will enhance your English credibility and encourage potential employers to pick you over the rest in the English job market. By earning this English certificate, you'll prove your English proficiency and commitment to excellence in English, making you a standout candidate for English-related roles. This English Bundle Consists of the following Premium courses: Course 01: Complete English Language Course Course 02: Understanding English Grammar Course 03: Improve English Spelling, Punctuation, Grammar and Pronunciation Course 04: English Literature Course 05: 200 Common English Idioms and Phrases Course 06: Master English Speaking 3 Course 07: Essay Writing in English Course 08: Teaching English Online Course 09: Advanced Diploma in Copywriting Course 10: Business English Perfection Course Course 11: English for Job Interview Key Features of the Course: FREE English Essentials CPD-accredited certificate Get a free student ID card with English training (£10 applicable for international delivery) Lifetime access to the English course materials The English Training program comes with 24/7 tutor support Get instant access to this English course Learn English training from anywhere in the world The English training is affordable and simple to understand The English training is entirely online Enrol today to deepen your understanding of English. Description This English Essentials diploma offers learners the opportunity to acquire the skills that are highly valued in this field. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within this setting. The skills and knowledge gained from this English Essentials course will enable learners to make meaningful contributions to related fields, impacting their experiences and long-term development. ★★★ Course Curriculum of the English Essentials Bundle ★★★ Course 01: Complete English Language Course Module 01: Possession Module 02: Spelling Module 03: Zero conditional Module 04: First conditional Module 05: Demonstrative Pronoun and Adjective Module 06: Contractions Module 07: Exploring Adjectives Module 08: Age Module 09: Making offers and suggestions Module 10: Making a request Module 11: Want Module 12: Expressing Time Module 13: Like Module 14: Phrasal Verbs Module 15: Say and tell Module 16: Adverbs of quantity Module 17: Prepositions of place Module 18: Prepositions of movement Module 19: Verbs of the senses Module 20: Have got Module 21: Compound nouns Module 22: Comparative and superlative adjectives Module 23: Comparisons of equality Module 24: Kinds of Adverbs Module 25: So or such Module 26: Question tags Module 27: Enough Module 28: Present perfect with since, for and just Module 29: Already Module 30: Ever and how long Module 31: Past habit Module 32: Recap of the Past Perfect Module 33: Future Tense Module 34: Past Tense Module 35: Present Tense =========>>>>> And 10 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £9.99*11 = £109) Hard Copy Certificate: Free (For The Title Course: Previously it was £14.99) Who is this course for? Anyone from any background can enrol in this English bundle. Requirements Our English is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. Career path Having this expertise in English will increase the value of your CV and open you up to multiple job sectors. Certificates Digital certificate - Included You will get the PDF Certificate for the title course (Complete English Language Course) absolutely Free! Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Complete English Language Course) absolutely Free! Other Hard Copy certificates are available for £14.99 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Command attention with our "Public Speaking: Presentations like a Boss" course. Learn powerful techniques to deliver impactful presentations and captivate any audience.

In recent years, there has been an increase in drug, alcohol, and substance misuse in the United Kingdom. Drugs may destroy people's lives, and some of the most commonly used drugs, such as cocaine, cannabis, LSD, and heroin, lead to addiction that users cannot overcome. Managers in any workplace are uniquely placed to detect early signs of drug or alcohol abuse and put structures in place to minimise the damaging health, social, and economic effects of substance misuse in the UK. Our Drug and Alcohol Awareness Training course teaches learners how to support employees and service users struggling with substance abuse. It also raises awareness of the size and scale of substance misuse in the UK, the most commonly abused drugs, and recognising warning signs of a problem. The Drug and Alcohol Awareness Training course also focuses on how managers and organisations can protect the interests of the business and the people for whom they have a duty of care. Why choose this course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the course. Learning Objectives After completing this Drug and Alcohol Awareness Training course, the learner will be able to: Understand the fundamentals of substance misuse. Demonstrate a thorough understanding of the different types of illegal drugs. Understand the legal, health, and social implications of drug and alcohol abuse. Understand how organisations and individuals are expected to handle substance misuse issues. Demonstrate an understanding of the statistics on drug and alcohol abuse in the UK. Describe the various types of drug treatment services available in the UK. Plan a drug intervention and understand when someone requires assistance. Course Curriculum Module 1: Introduction Module 2: Historical Overview Module 3: Nature of Addiction Module 4: Policy Initiatives and Strategy in Alcohol and Drug Use Module 5: Understanding Alcohol Abuse Module 6: Drug Addiction & Abuse Certificate of Completion You will receive a course completion certificate for free as soon as you complete the Drug and Alcohol Awareness Training course. Who is this course for? This Drug and Alcohol Awareness Training course is ideal for those working in high-risk industries like hospitality and construction and anyone who manages or works with vulnerable people like adolescents. Requirements There are no particular requirements for this Drug and Alcohol Awareness Training course because it doesn't call for any specialized training. To enroll in this course, students must fulfill the following requirements: Good Command over English language Be energetic and self-motivated Basic computer Skill You must be at least 15 years old Career path This Drug and Alcohol Awareness Training Course will lead to a variety of career opportunities, some of which are listed below: Cleaner: £9.00 per hour Custodian: £12.00 per hour Housekeeper: £12.00 per hour Janitor: £10.00 per hour

The human resources management is the department assigned to ensure the welfare of employees including their wages, compensation, and benefits. It is best to implement an efficient payroll management to make sure employees could receive their salary on time. Developing payroll management skills is possible after taking this Level 3 Diploma in HR and Payroll Management. It is designed to help HR managers and staff to learn the different payroll systems and choose the best system perfect for the needs of the department. Course Highlights The price is for the whole course including final exam - no hidden fees Accredited Certificate upon successful completion at an additional cost Efficient exam system with instant results Track progress within own personal learning portal 24/7 customer support via live chat Level 3 Diploma in HR and Payroll Management has been given CPD accreditation and is one of the best-selling courses available to students worldwide. This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Level 3 Diploma in HR and Payroll Management is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the full CPD accredited qualification. And, there are no hidden fees or exam charges. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at any time. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our CPD and CiQ accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £35,000. The sky really is the limit. Course Curriculum HR and Payroll Management - Updated Version Human Resource Management Introduction to Human Resources 00:16:00 Employee Recruitment and Selection Procedure 00:35:00 Employee Training and Development Process 00:19:00 Performance Appraisal Management 00:19:00 Employee Relations 00:15:00 Ensuring Health and Safety at the Workplace 00:16:00 Motivation and Counselling 00:19:00 Employee Termination 00:15:00 Employer Records and Statistics 00:11:00 Essential UK Employment Law 00:35:00 Payroll Management Module 1: Payroll Basics 00:10:00 Module 2: Company Settings 00:08:00 Module 3: Legislation Settings 00:07:00 Module 4: Pension Scheme Basics 00:06:00 Module 5: Pay Elements 00:14:00 Module 6: The Processing Date 00:07:00 Module 7: Adding Existing Employees 00:08:00 Module 8: Adding New Employees 00:12:00 Module 9: Payroll Processing Basics 00:11:00 Module 10: Entering Payments 00:12:00 Module 11: Pre-Update Reports 00:09:00 Module 12: Updating Records 00:09:00 Module 13: e-Submissions Basics 00:09:00 Module 14: Process Payroll (November) 00:11:00 Module 15: Employee Records and Reports 00:13:00 Module 16: Editing Employee Records 00:07:00 Module 17: Process Payroll (December) 00:12:00 Module 18: Resetting Payments 00:05:00 Module 19: Quick SSP 00:10:00 Module 20: An Employee Leaves 00:13:00 Module 21: Final Payroll Run 00:07:00 Module 22: Reports and Historical Data 00:08:00 Module 23: Year-End Procedures 00:09:00 HR and Payroll Management - Old Version HR & Leadership Leader and HR Management 00:30:00 Commitment and HR Management 01:00:00 Team Management 00:30:00 Build A Mastermind Group 02:00:00 People Recognition in HR Management 00:30:00 Performance, Goals and Management 00:30:00 Think Outside The Box 00:30:00 Be Passionate about Your Work 00:30:00 The Importance Of A Good Team Leader 00:30:00 Human Resource Management Module One - Getting Started 00:30:00 Module Two - Human Resources Today 01:00:00 Module Three - Recruiting and Interviewing 01:00:00 Module Four - Retention and Orientation 01:00:00 Module Five - Following Up With New Employees 01:00:00 Module Six - Workplace Health & Safety 01:00:00 Module Seven - Workplace Bullying, Harassment, and Violence 01:00:00 Module Eight - Workplace Wellness 01:00:00 Module Nine - Providing Feedback to Employees 01:00:00 Module Ten - Disciplining Employees 01:00:00 Module Eleven - Terminating Employees 01:00:00 Module Twelve - Wrapping Up 00:30:00 Managing Payroll What Is Payroll? 00:30:00 Principles Of Payroll Systems 01:00:00 Confidentiality And Security Of Information 00:30:00 Effective Payroll Processing 01:00:00 Increasing Payroll Efficiency 01:00:00 Risk Management in Payroll 00:30:00 Time Management 00:30:00 Personnel Filing 00:30:00 When Workers Leave Employment 01:00:00 Hiring Employees 00:30:00 Paye and Payroll for Employers 01:00:00 Tell HMRC about a New Employee 01:00:00 Net And Gross Pay 00:30:00 Statutory Sick Pay 00:30:00 Minimum Wage for Different types of Work 01:00:00 Mock Exam Mock Exam - Level 3 Diploma in HR and Payroll Management 00:30:00 Final Exam Final Exam - Level 3 Diploma in HR and Payroll Management 00:30:00