2789 Intelligence courses delivered Online

Leading Cross-Cultural Virtual Teams (On-Demand) High-performing teams are a must in this world of intense competition and higher expectations. Global virtual teaming has become a necessity as organizations become increasingly distributed and suppliers and clients actively engage in joint projects. Teams work across geographical and organizational boundaries to deliver solutions and services to global users where distance and differences, both geographic and cultural, amplify the effect of issues and factors that are relatively straightforward when managing a team of people in the same location. This course delivers practical concepts and techniques that participants will start using immediately on their global projects. What you will Learn At the end of this program, you will be able to: Define relationships among foundational concepts (leadership and three dimensions of diversity) and explain their potential impacts on project performance Describe key components of successful project leadership and build selected Transformational Leadership skills Prepare to convert project challenges stemming from personal or cultural diversity into potential competitive advantage Implement selected best practices to meet key challenges facing virtual project teams Foster and grow an environment that supports continued success for CCVTs Getting Started Foundation Concepts Basic definitions Critical success factors for leading cross-cultural virtual teams (CCVTs) A roadmap to success for leading CCVTs Leadership Excellence in Any Project Environment Leading effectively in a global environment Transformational leadership The four components of Transformational Leadership Leveraging Personal Diversity Overview of personal diversity Mind styles The theory of multiple intelligences Connecting Transformational Leadership and personal diversity Embracing Cultural Diversity Introduction to cultural intelligence The impact of culture Cultural Dimensions Theory The Culture Map Managing Virtual Diversity Overview of virtual diversity Virtual time management Virtual processes and technology Virtual leadership Creating an Environment for Success Supporting a cross-cultural virtual-team (CCVT-) friendly environment Building a foundation of trust Developing a team charter Recap and review Summary and Next Steps Personal action plan

Become a certified Tableau Data Analyst through our Data Analytics course. Gain the skills to analyze and visualize data using Tableau.

Behaviour Management: Behaviour Management Course Online Are you looking for Level 2 Behaviour Management in the Early Years? We have created the greatest Level 2 Behaviour Management in the Early Years, which will teach you the knowledge and skills necessary to address concerns pertaining to care settings. This Behaviour Management: Behaviour Management Course explains the factors affecting behaviours. Also, this Level 2 Behaviour Management in the Early Years course teaches the learning styles of various age groups childrens. Moreover, the role of an adult is explained in this Level 2 Behaviour Management in the Early Years course. You will learn about positive behaviour and handling strategies. Overall, this Level 2 Behaviour Management in the Early Years course is helpful for you to enhance your knowledge of child development. Join in our Behaviour Management: Behaviour Management Course programme to realise your full potential in working with kids! Learning outcome of Behaviour Management: Behaviour Management Course After completing this Level 2 Behaviour Management in the Early Years course, learner will know about: The factors affecting behaviours from this Level 2 Behaviour Management in the Early Years course. This Level 2 Behaviour Management in the Early Years teaches the learning styles of childrens. The role of the adult is also described in Level 2 Behaviour Management in the Early Years course. This Level 2 Behaviour Management in the Early Years describes positive behaviour strategies. Main Course: Level 2 Behaviour Management in the Early Years Course Free Courses are including with this Behaviour Management: Behaviour Management Course Along with The Behaviour Management Course, We Offer a free Life Coaching Course Along with The Behaviour Management Course, We Offer a free Emotional Intelligence Course Special Offers of this Behaviour Management: Behaviour Management Course This Behaviour Management Course includes a FREE PDF Certificate. Lifetime access to this Behaviour Management Course Instant access to this Behaviour Management Course Get FREE Tutor Support to this Behaviour Management Course Behaviour Management: Behaviour Management Course Online Students who complete this course on behavior management will have a solid understanding of the variables that influence behavior, learning preferences, the adult role, and constructive behavior techniques. After completing this course on behavior management, learners will understand why kids misbehave and how to properly accommodate their needs and learning preferences. Who is this course for? Behaviour Management: Behaviour Management Course Online The Behaviour Management: Behaviour Management Course programme is designed especially for people who want to work as licensed child care managers or leaders. Requirements Behaviour Management: Behaviour Management Course Online To enrol in this Behaviour Management Course, students must fulfil the following requirements. To join in our Behaviour Management Course, you must have a strong command of the English language. To successfully complete our Behaviour Management Course, you must be vivacious and self driven. To complete our Behaviour Management Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Behaviour Management Course. Career path Behaviour Management: Behaviour Management Course Online After completing this Behaviour Management: Behaviour Management Course credential successfully, learners can work in childcare facilities in a range of capacities.

The course is crafted to reflect the most in-demand workplace skills. It will help you understand all the essential concepts and methodologies with regards to PySpark. This course provides a detailed compilation of all the basics, which will motivate you to make quick progress and experience much more than what you have learned.

Duration 2 Days 12 CPD hours This course is intended for This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results. Overview At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. Course Outline The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions: Fundamentals of data visualisation Data characteristics & dimensions Mapping visual encodings to data dimensions Colour theory Graphical perception & communication Interaction design Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text Designing effective dashboards

Unlock the secrets of effective leadership and people management with our People Management & Leadership Diploma. Dive into essential topics such as emotional intelligence, team building, conflict resolution, and more.

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills 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. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. 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.

Description Educational psychology Diploma Educational psychology relates to the manner in which students learn and develop. It focuses on aspects such as diversity and development in education. Educational psychology is the base upon which the method of teaching is built. And it is essential to hone the skills of trainers and teachers in their profession. Educational psychology gives a foundation for trainers and teachers to organize their teaching job in a coherent and more professional manner. It also helps them evaluate the learning process of each student. The educational system gives a whole lot of chances for psychologists. Since most crucial emotional issues happen in the life of a child's formative years, most primary schools hire psychologists who are equipped in clinical psychology, child development, education and the ability to assess a child's emotional and learning problems. After thoroughly consulting with teachers and parents they come up with plans to help the children in and out of the classroom. The Online Educational Psychology Course provides a deeper understanding of human learning, such as the methods to understand, learn, motivate, etc. It shows the relevance of an approach that is based on evidence in educational psychology and the obstructions it faces in reality. It also discusses concepts like instructional psychology, intelligence, inclusion, etc. Also, the course gives detailed information on matters of school phobia, dyslexia, classroom behaviour, autism, bullying, etc. Educational psychology helps educators to understand various learning and teaching situations and the various abilities, needs, interests, and intelligence of the students or learners. This helps them better their own instructional approaches and skills in such a way that improves the learning processes and experiences. This Educational psychology Diploma equips students with better ideas on educational psychology, its models, practices, theories, approaches and methods. This helps them identify and adapt workable learning and teaching approaches. The course can be ideal for those who are eager to get an idea as to how people take in and keep information. This Educational psychology Diploma course can also be pursued by those who aspire to become educators. What you will learn 1: Introduction to Educational Psychology 2: Learning, Cognition, and Memory 3: Learning in Context 4: Complex Cognitive Processes 5: Cognitive Development 6: Motivation and Affect 7: Personal, Social, and Moral Development 8: Instructional Strategies 9: Strategies for Creating an Effective Classroom Environment 10: Assessment Strategies Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

About Course Data Science and Data Analytics with Python: A Comprehensive Course for Beginners Unlock the power of data and gain insights that drive informed decisions with this comprehensive course on data science and data analytics with Python. This course is designed for beginners of all skill levels, with no prior programming experience required. You will learn the essential skills to embark on your data-driven journey, including: Data manipulation with NumPy and Pandas Data visualization with Matplotlib and Seaborn Statistical analysis with Python Machine learning and artificial intelligence You will also gain hands-on experience with real-world data projects, allowing you to apply your newfound knowledge to solve real-world problems. By the end of this course, you will be able to: Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems This course is the perfect launchpad for your data science journey. Whether you are looking to pivot your career, enhance your skill set, or simply quench your curiosity, this course will give you the foundation you need to succeed. Enroll today and start exploring the fascinating world of data science together! What Will You Learn? Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems Course Content Introduction to Python Data Science Introduction to Python Data Science Environment Setup Data Cleaning Packages Working with the Numpy package Working with Pandas Data science package Data Visualization Packages Working with Matplotlib Data Science package (Part - 1) Working with Matplotlib Data Science (Part - 2) A course by Uditha Bandara Microsoft Most Valuable Professional (MVP) RequirementsBeginners level knowledge for working with Data .Programming knowledge not required. Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before [Updated: February 2024] Did you know that 75% of employees report feeling stressed at work in the UK? Imagine being the person who can help them find clarity and direction. Are you ready to become a catalyst for positive change in people's lives? If you're passionate about personal development and empowering others, this comprehensive Diploma in Life Coaching and Counselling could be the perfect starting point for your rewarding career. Our comprehensive programme goes beyond basic life coaching. You'll receive advanced training in areas like transformational leadership, emotional intelligence, and decision-making in high-pressure situations. Develop your interpersonal skills to build strong client relationships, learn how to effectively manage performance, and master the art of public speaking and presentations. This Life Coaching and Counselling Training at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 180 CPD points) to make your skill development & career progression more accessible than ever! With a single payment, you will gain access to Life Coaching and Counselling course, including 10 premium courses, a QLS Endorsed Hardcopy certificate (for the title course) and 11 PDF certificates for Absolutely free. This Life Coaching and Counselling Bundle Package includes: Main Course: Advanced Diploma in Life Coaching and Counselling at QLS Level 7 10 Additional CPD Accredited Premium Courses - Course 01: Transformational Leadership: Ultimate Leadership Course Course 02: Developing Interpersonal Skills Course Course 03: Becoming Career Smart: How to Sell Yourself Course 04: Diploma in Performance Management Course 05: Coping Skills for Better Life Course 06: Effective Methods of Public Speaking and Presentation Skill Course 07: Presentation Skills Guideline Course 08: Emotional Intelligence and Human Behaviour Course 09: Decision-Making in High-Stress Situations Course 10: Communication Skills Masterclass This Life Coaching and Counselling training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Learning Outcomes of Life Coaching and Counselling Gain expertise in transformational leadership for effective coaching and mentoring. Develop advanced interpersonal skills to build strong professional relationships. Master performance management techniques to drive team success. Learn practical coping strategies for enhancing personal resilience. Acquire public speaking skills to engage and inspire diverse audiences. Understand and apply emotional intelligence for better decision-making and behaviour management. Why Choose Us? Get a Free QLS Endorsed Certificate upon completion of Life Coaching and Counselling Get a free student ID card with Life Coaching and Counselling Training program (£10 postal charge will be applicable for international delivery) The Life Coaching and Counselling is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Life Coaching and Counselling course materials The Life Coaching and Counselling comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Main Course: Advanced Diploma in Life Coaching and Counselling at QLS Level 7 Introduction PART 1: LIFE COACHING CERTIFICATION Coaching Fundamentals Understanding Personalities Coaching Models Explained Why We Will Use The GROW Model Coaching Step 2: Reality Coaching Step 3: Options & Obstacles Coaching Step 4: Will & Action Planning How To Structure Your Coaching Sessions Client Coach Relationship Advanced Coaching Strategies PART 2: HOLISTIC HEALTH COACHING CERTIFICATION Diet & Nutrition Fundamentals Diet & Nutrition Coaching Exercise Coaching: Cardio Exercise Coaching: Resistance Training Hormone Health Explained Supplements Health & Fitness Motivation Health & Fitness FAQ Answered PART 3: WELLNESS COACHING CERTIFICATION Stress Management Sleep Emotional Self Care Course 01: Transformational Leadership: Ultimate Leadership Course Introduction Foundational Concepts For Leaders Powerfull Cutting- Edge Leadership Tips - Foundational Powerfull Cutting- Edge Leadership Tips - Intermediate Powerfull Cutting- Edge Leadership Tips - Advanced Final Thoughts For Wise Leaders Course 02: Developing Interpersonal Skills Course Module One: What Are Soft Skills? Module Two: Communication Module Three: Teamwork Module Four: Problem-Solving Module Five: Time Management Module Six: Attitude And Work Ethic Module Seven: Adaptability/Flexibility Module Eight: Self-Confidence (Owning It) Module Nine: Ability To Learn From Module Ten: Networking =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £139) CPD 285 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring Coaches Career Changers Helping Professionals Therapists HR Professionals Business Leaders Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Life Coach Life Skills Coach Personal development trainer Counsellor education Motivational speaker MENTOR Young Entrepreneurs Life hacks trainer Certificates Advanced Diploma in Life Coaching and Counselling at QLS Level 7 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.