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Description: Time Management refers to the process of planning, organizing and exercising conscious control over time. Effective Time Management helps you to get more work done in less time even when you are in a hurry. In the Time Management Skills - Video Training Course, you will learn the practical time management skills. The course will teach you how to identify goals, the ways of efficient energy distribution and time logs. Throughout the course, you will also be able to manage your time based on your style, and you will be able to build your toolbox. Finally, the course will help you to apply your plan into action. The purpose of the course is to help you to manage your time so that you can find enough and sufficient time for your essential tasks within deadlines. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Time Management Skills - Video Training Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Time Management Skills - Video Training Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Identifying Goals Identifying Goals FREE 00:10:00 Effective Energy Distribution Energy Distribution 00:09:00 Time Logs 00:11:00 Working with Your Personal Style Personal World View 00:10:00 Strengths 00:09:00 Building Your Toolbox A Building Your Toolbox 00:10:00 Establishing Your Action Plan Establishing Your Action Plan 00:11:00

In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Business Studies & Business Management Diploma Elevate your career with our Business Studies & Business Management Diploma. Master key concepts in Business Studies and Business Management. Lead transformative changes through advanced Business Studies and Business Management practices. Learning Outcomes: Understand fundamental theories in Business Studies and Business Management. Apply accounting principles within the scope of Business Studies and Business Management. Execute sales and distribution strategies in Business Studies and Business Management contexts. Analyze global business environments using Business Studies and Business Management frameworks. Plan and forecast operations aligned with Business Studies and Business Management principles. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Business Studies & Business Management Diploma: Business Theory Grasp core theories and models fundamental to Business Studies and Business Management practices. Accounting for Business Implement accounting techniques tailored to the specific needs of Business Studies and Business Management. Sales and Distribution Management Master sales and distribution channels in alignment with Business Studies and Business Management objectives. Business in the Global Environment Evaluate the impact of global factors on Business Studies and Business Management practices. Business Development Planning Develop and plan for business continuity and succession, guided by Business Studies and Business Management strategies. Planning and Forecasting Operations Optimise operational planning and forecasting using best practices in Business Studies and Business Management.

Project Management Practitioner Program - Project Communications Management: On-Demand According to Dr. Kerzner, up to 90 percent of a project manager's time will be spent in some type of formal or informal communications, such as providing direction, attending to meetings, or public relations among many others, therefore communication plays a key role in our lives. This individual module shows how the Project Communications Management includes the processes required to ensure timely and appropriate planning, collection, creation, distribution, storage, retrieval, management , control, monitoring, and the ultimate disposition of project information, as described by PMBOK® Guide - Sixth Edition. What You Will Learn At the end of this program, you will be able to: Discuss key elements of a communications management plan Identify the tools and techniques used for information management Explain and utilize common formats for performance reporting Review Project Communications Management Knowledge Area Plan Communications Management Manage Communications Monitor Communications

Project Management Practitioner Program - Project Communications Management: On-Demand According to Dr. Kerzner, up to 90 percent of a project manager's time will be spent in some type of formal or informal communications, such as providing direction, attending to meetings, or public relations among many others, therefore communication plays a key role in our lives. This individual module shows how the Project Communications Management includes the processes required to ensure timely and appropriate planning, collection, creation, distribution, storage, retrieval, management , control, monitoring, and the ultimate disposition of project information, as described by PMBOK® Guide - Sixth Edition. What You Will Learn At the end of this program, you will be able to: Discuss key elements of a communications management plan Identify the tools and techniques used for information management Explain and utilize common formats for performance reporting Review Project Communications Management Knowledge Area Plan Communications Management Manage Communications Monitor Communications

10 QLS Endorsed Courses for Inventory Manager | 10 QLS Endorsed Certificates Included | Life Time Access | Tutor Support

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

Electrical Engineering 14 in 1 Exclusive Bundle Improve your earning potential and light up your career prospects with our comprehensive Electrical Engineering Bundle! As the demand for skilled electrical engineers continues to surge, those with a strong foundation in Electrical Engineering theoretical knowledge can expect impressive salaries, often exceeding £60,000 per year. With 14 CPD-certified courses on Electrical Engineering covers a wide range of topics, this Electrical Engineering bundle is designed to equip you with the knowledge needed to thrive in this high-growth industry. Throughout this enlightening Electrical Engineering Training, you'll unravel the intricacies of power electronics, AC and DC circuit analysis, digital electric circuits, and intelligent electrical devices. You'll delve into electric power metering, power transformers, and electrical substations, acquiring valuable insights into distribution station and feeder protection, as well as high voltage engineering. By the end of the Electrical Engineering course, you will have unlocked a treasure trove of knowledge that empowers you to make informed decisions and tackle complex challenges in the field. The impact of this Electrical Engineering bundle on your life and career is undeniable. As a result of your newfound knowledge, you'll be equipped to excel in a competitive job market and pursue diverse opportunities in the electrical engineering sector. This bundle is perfect for aspiring electrical engineers, professionals looking to expand their skill set, and individuals with a burning curiosity for the subject. This Electrical Engineering Bundle Consists of the following Premium courses: Course 01: Power Electronics for Electrical Engineering Course 02: Basic AC Circuit Analysis Course 03: Electrical Engineering DC Circuit Analysis Course 04: Digital Electric Circuits & Intelligent Electrical Devices Course 05: Electric Power Metering for Single and Three-Phase Systems Course 06: Per Unit Analysis for Single and Three-Phase Systems Course 07: Symmetrical Components for Three-Phase Power Analysis Course 08: Short Circuit Analysis for HV Three-Phase Systems Course 09: Electrical 3-Phase Power Transformers Fundamentals Course 10: Electrical Engineering for Electrical Substations Course 11: Distribution Station & Feeder Protection Course 12: Electrical Power System and High Voltage Engineering Course 13: Protection and Control of High Voltage Power Circuits Course 14: Electrical Machines for Electrical Engineering So enrol now in this Electrical Engineering Bundle to advance your career! Electrical Engineering The curriculum of Electrical Engineering Bundle Course 01: Power Electronics for Electrical Engineering Introduction to Power Electronics Components Fundamentals of Rectifier Circuits Fundamentals of AC Choppers Fundamentals of DC Choppers Fundamentals of Inverters How will I get my Certificate? After successfully completing the Electrical Engineering 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) CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Electrical Engineering Anyone from any background can enrol in this Electrical Engineering bundle. Requirements Electrical Engineering Our Electrical Engineering is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. Career path This Electrical Engineering course bundle will be beneficial for anyone looking to pursue a career as: Electrical Engineer (Salary range: £25,000 - £60,000) Power Systems Engineer (Salary range: £30,000 - £65,000) High Voltage Engineer (Salary range: £35,000 - £70,000) Control Systems Engineer (Salary range: £30,000 - £65,000) Electrical Substation Engineer (Salary range: £30,000 - £70,000)