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Overview This comprehensive course on Team Building Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Team Building Masterclass comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Team Building Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Team Building Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more!   Course Curriculum 9 sections • 39 lectures • 02:28:00 total length •Introduction: 00:04:00 •Qualities of a Successful Team: 00:04:00 •Goals & Objectives for Working as a Team: 00:05:00 •5 Reasons Why Your Entire Team Should Contribute to Your Content Efforts: 00:05:00 •How Team Members can Support One Another's Well-Being: 00:03:00 •The Five Business Benefits of a Diverse Team: 00:04:00 •Effective Leadership: Why it's Important and How It's Achieved: 00:05:00 •Communicating Effectively as a Team: 00:05:00 •7 Ways to Improve Team Communication: 00:04:00 •Advantages & Disadvantages of Group Cohesiveness & Productivity: 00:04:00 •3 Crucial Steps to Create Role Clarity within Your Team: 00:05:00 •Why Consistency Matters in Leadership: 00:04:00 •Importance of Courtesy in Business Communication: 00:04:00 •Team Building Models: 00:04:00 •Traditional Team Building Model: 00:03:00 •Team Spirit Built from the Top: 00:04:00 •The Cutting Edge Team: 00:05:00 •What Are the Characteristics of a Task Force Group in Business?: 00:03:00 •Team Building Process: 00:05:00 •The Forming Stage: 00:04:00 •The Storming Stage: 00:04:00 •The Norming Stage: 00:04:00 •The Performing Stage: 00:04:00 •The Adjourning Stage: 00:05:00 •Challenges of Managing a Virtual Team: 00:05:00 •The Cyber Team Model: 00:03:00 •How to Communicate With Remote Teams: 00:03:00 •How to Manage Remote Project Teams Effectively: 00:04:00 •10 Ways to Build Positive and Effective Work Relationships: 00:04:00 •7 Ways to Recover Your Team from Focus Loss: 00:04:00 •6 Ways Managers can Increase Team Accountability: 00:04:00 •Team Building Exercises: 00:03:00 •Magic Cane (Helium Stick): 00:03:00 •Barter Puzzle: 00:03:00 •Bridge Build: 00:03:00 •What's my name?: 00:03:00 •Grab Bag Skits: 00:02:00 •Review: 00:03:00 •Assignment -Team Building Masterclass: 00:00:00

Equip yourself with the knowledge and skills to develop, utilise, and review financial models effectively, ensuring they can be used to support strategic decision-making and financial analysis with confidence. What is Inside the manual? M&A Strategies This section introduces the core concepts of M&A, explaining the goals of acquisitions, including the pursuit of synergies through scale, scope, and diversification. It also covers acquisition and disposal strategies, providing a foundation for understanding the strategic rationale behind M&As. Acquiring Private Companies Offering a process overview from the early stages through to post-completion, this section is crucial for understanding the nuances involved in private company acquisitions. It includes detailed steps such as target analysis, due diligence, and the finalization of sale and purchase agreements. Selling Private Companies This part parallels the acquisition process but from the perspective of selling private companies. It details disposal strategies, preparation for sale, and different approaches to achieving a sale, such as demergers, auctions, and the 'rifleshot' approach.  Public Company Takeovers Focusing on the regulatory environment, the takeover process (both friendly and hostile), and defence tactics, this section is key for anyone involved in or studying public company takeovers.  Successful M&A Concluding with what determines success and failure in acquisitions, this section emphasizes the importance of planning, implementation, and integration.  Financial Modelling The guide covers everything from basic model structure, naming conventions, and sheet consistency, to more advanced topics like data consolidation, the use of arrays, and handling date series. It also delves into the nuances of Excel, such as relative vs. absolute references, using logical functions, and managing volatile functions.

Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. 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 (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Level 7 Diploma in Investment Advisor Certification – QLS Endorsed! Advance Your Finance Career, Flexible Learning, Expert Support – Enroll Today for Professional Success!

Level 4 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 120 CPD Points | Lifetime Access

Level 4 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 120 CPD Points | Lifetime Access

Level 4 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 120 CPD Points | Lifetime Access

Are you looking forward to boosting your career while improving your existing skillsets? Our Head of Resourcing course is an excellent opportunity to enhance your skills or make a career change. Through this expertly designed and high-quality training program, you will gain the knowledge and skills necessary to excel in your desired career. This online training course is a convenient way to expand your expertise and succeed in head resourcing. This Diploma in Head of Resourcing Training at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPD (with 150 CPD points) to make your skill development and career progression related to Head of Resourcing substantial and easier than ever! The Head of Resourcing course is divided into several comprehensive modules to ensure a convenient and thorough learning experience. You will be awarded an instant e-certificate to demonstrate your new skills and competency upon completing the course. Enrolling in this course can add these valuable skills to your resume and increase your employability. Our course will help you achieve your career goals and train for your ideal position. The system offers a detailed learning experience that allows students to work at their own pace and enhance their career development. Enrolling in the Head of Resourcing course can increase your chances of achieving your dream career sooner than expected. This program will help you stand out from the competition and prepare for your desired job. Why Prefer Our Head of Resourcing Training Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another certificate that is accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery). Innovative and engaging content. Free assessments. 24/7 tutor support. The Head of Resourcing course is a comprehensive program designed for experts looking to advance their careers in human resources. This course covers various topics, including talent management, recruitment, and employee development. Throughout the course, students will learn how to effectively lead a team of resourcing executives and design strategies to attract and retain top talent. They will also understand the latest trends and best practices in the industry, including diversity and inclusion, employee engagement, and performance management. In addition to the theoretical knowledge, students can apply their learning through practical exercises and case studies. Upon completing the course, students will have the skills and competencies needed to excel as Head of Resourcing and drive the success of their organisation. **** Course Curriculum **** Module 01: Introduction to Resourcing and Talent Management What are Resourcing and Talent Management? Components of Talent Management Step-by-Step Talent Management Process Talent Management Model Talent Management Strategy Module 02: Resourcing and Talent Planning Introduction to the Resourcing and Talent Planning The Strategies Recruitment Advertising Module 03: Talent Management and The Role of Recruiting Introduction Finding the Right Fit, Quickly and Cost-Effectively Faster Integration and Time to Productivity Recruitment Funnel and Hiring Workflow Module 04: Coaching, Training, and Development Talent Management - Coaching 5 Steps to Integrating Coaching into Your Talent Management Strategy Training & Development Module 05: Performance Management What is Performance Management? Benefits The Performance Management Cycle Model 5 Tips to Ace Your Performance Management Process Module 06: Benefits of Talent Management Introduction to the Benefits of Talent Management Benefit for Organisation Benefit for Employees 7 Benefits of Having a Talent Management System Benefits of Having a Talent Management System Module 07: Job Analysis and Design Introduction Job Analysis Uses and Reason for Job Analysis Job Design Job Sculpting Module 08: Employer Branding Brands, Branding, and Brand Management Defining Employer Brand The Employer Branding Process Benefits Module 09: Employee Training and Development Process The justification for training Transferring training Systematic training Types of training Effective training practices Training techniques Instruction Lecture Discussion Case study Role-playing Simulation Group exercises Instruction E-learning Aim of e-learning The technology of e-learning The e-learning process Developing e-learning processes Module 10: Employee Relations Strategic Employee Relations The practice of Industrial Relations Employee Voice Employee Communications Module 11: Motivation and Counselling The process of motivation Types of motivation Motivation theory Instrumentality theory Content (needs) theory Herzberg's two-factor model Process theory Motivation strategies Module 12: Employee Termination Redundancy Dismissal The legal framework Definition of dismissal Fair dismissal Unfair dismissal Relieving Letter Retirement Module 13: Employer Record and Statistics Introduction The Necessity for Personnel Records Information in Personnel Records Formats of Personnel Records Summaries Documents Statistical Data Reports Learning Organisations Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is suitable for anyone who wants to learn more about the subject. It covers the essential concepts and provides a deep understanding of the material. No prior knowledge or experience is required to enrol, and the course is available online to anyone, regardless of location. Requirements Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This Head of Resourcing course allows you to study at your own speed and grow a quality skillset. Career path A career path as a Head of Resourcing can involve a variety of roles and responsibilities, depending on the size and type of organisation you work for. Some common job titles for professionals in this field include HR Manager, Talent Acquisition Manager, and Employee Development Manager. Some probable career paths can be: Researcher Human Resource Analyst Chief Human Resource Executive Certificates CPD Accredited Certificate Digital certificate - £10 Diploma in Head of Resourcing Training at QLS Level 5 Hard copy certificate - £119 After successfully completing the Diploma in Head of Resourcing Training at QLS Level 5course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for international delivery CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost