Overview Every career or business needs some form of Project Planning. Learn how to master this skill and become a real manager in every sense of the word. This Level 2 Project Planning and Management course provides all knowledge and tools you'll need to set objectives and complete processes for any project or task. The course will train you to how to master all stages of a Project's life cycle and engage consistently with the stakeholders. By understanding and delivering the core concepts of an assignment, be it complex or simple, you will be recognised as an efficient and reliable Project Manager. Learn how to lead success. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Level 2 Project Planning and Management. It is available to all students, of all academic backgrounds. Requirements Our Level 2 Project Planning and Management is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 11 sections • 25 lectures • 09:49:00 total length •Introduction & Overview: 00:16:00 •Tools You Need: 00:19:00 •Teams & Leadership: 00:35:00 •Teams: 00:33:00 •Conflict: 00:35:00 •Project Communication: 00:25:00 •Didactic Communications: 00:22:00 •Basic Meeting Rules: 00:21:00 •Stakeholder Management: 00:19:00 •The Basics of Project Management: 00:19:00 •Project Needs: 00:21:00 •Scope and Requirements: 00:28:00 •Work Breakdown Structures: 00:27:00 •Displayed Thinking: 00:31:00 •Developmental Methodologies: 00:25:00 •Methodology Types: 00:26:00 •Selecting a Methodology: 00:22:00 •Effective Budgets & Schedules: 00:25:00 •Resource Estimating: 00:26:00 •Estimating Techniques: 00:26:00 •Project Performance: 00:25:00 •The Keys to Success: 00:23:00 •Project Performance Key Values: 00:24:00 •Change Management: 00:16:00 •Assignment - Level 2 Project Planning and Management: 00:00:00
Overview Gain extensive knowledge of all the attributes and modern techniques that can drive a Project to a successful implementation and boost your career. This Project Management Essential Skills Level 3course provides the knowledge and empowers you to assume full control of a Project's direction and utilise the talent around you. Written in conjunction with industry professionals, this innovative course contains the cream of today's Project Management procedures. You will learn how to utilise concepts such as Six Sigma, AgilePM, and Scrums to ensure the smooth running of a Project's life cycle. As a result, you will also master the principles of Change and Quality Management. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Project Management Essential Skills Level 3. It is available to all students, of all academic backgrounds. Requirements Our Project Management Essential Skills Level 3 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 24 lectures • 09:49:00 total length •Introduction & Overview: 00:16:00 •Tools You Need: 00:19:00 •Teams & Leadership: 00:35:00 •Teams: 00:33:00 •Conflict: 00:35:00 •Project Communication: 00:25:00 •Didactic Communications: 00:22:00 •Basic Meeting Rules: 00:21:00 •Stakeholder Management: 00:19:00 •The Basics of Project Management: 00:19:00 •Project Needs: 00:21:00 •Scope and Requirements: 00:28:00 •Work Breakdown Structures: 00:27:00 •Displayed Thinking: 00:31:00 •Developmental Methodologies: 00:25:00 •Methodology Types: 00:26:00 •Selecting a Methodology: 00:22:00 •Effective Budgets & Schedules: 00:25:00 •Resource Estimating: 00:26:00 •Estimating Techniques: 00:26:00 •Project Performance: 00:25:00 •The Keys to Success: 00:23:00 •Project Performance Key Values: 00:24:00 •Change Management: 00:16:00
Overview With the ever-increasing demand for Advertising in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Advertising may be. Learning about Advertising or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Advertising. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Advertising is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Search Engine Advertising course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Search Engine Advertising course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Search Engine Advertising course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Advertising, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Advertising, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Advertising, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Search Engine Advertising course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Module 1 - Introduction To SEA Introduction To SEA 00:00 Module 2 - GOOGLE ADS_ BASICS OF GOOGLE ADS GOOGLE ADS_ BASICS OF GOOGLE ADS 00:00 Module 3 - THE ANATOMY OF A SEARCH INTERNET AD THE ANATOMY OF A SEARCH INTERNET AD 00:00 Module 4 - OVERVIEW_ TYPE OF ADS Draft LessonOVERVIEW_ TYPE OF ADS 00:00 Module 5 - GOOGLE ADS_ NETWORKS AND AD FORMATS GOOGLE ADS_ NETWORKS AND AD FORMATS 00:00 Module 6 - GOOGLE ADS_ PREPARATION, CAMPAIGNS, AD GROUPS AND MORE GOOGLE ADS_ PREPARATION, CAMPAIGNS, AD GROUPS AND MORE 00:00 Module 7 - EDITOR, OPTIMIZATION, ANALYTICS, AND OTHERS EDITOR, OPTIMIZATION, ANALYTICS, AND OTHERS 00:00 Module 8 - KEYWORDS AND KEYWORDS RESEARCH TOOLS KEYWORDS AND KEYWORDS RESEARCH TOOLS 00:00 Module 9 - SET YOUR KEYWORD MATCH TYPES SET YOUR KEYWORD MATCH TYPES 00:00 Module 10 - KEY PERFORMANCE INDICATORS (KPIs) KEY PERFORMANCE INDICATORS (KPIs) 00:00
Overview Develop your leadership skills and understand what is needed to become an effective manager in your workplace. This Management for Managerscourse provides the full set of skills and insight that will empower you to be a respected and aspirational leader of a team. The course has been written with the assistance of industry professionals and contains details for proven managerial styles and techniques that can be put to practical use. You will also learn how to make crucial decisions quickly and accurately, alongside hints and tips for keeping stakeholders invested in your continued success and career progression. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Management for Managers. It is available to all students, of all academic backgrounds. Requirements Our Management for Managers is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 21 sections • 23 lectures • 05:08:00 total length •Understanding Management and Leadership: 00:40:00 •Leadership Theories: 00:25:00 •Improving Management and Leadership Performance: 00:15:00 •High Performance Teams: 00:32:00 •Motivating Employees: 00:26:00 •Organisational Skills: 00:26:00 •Talent Management: 00:37:00 •Succession Planning: 00:24:00 •Business Process Management: 00:28:00 •Communication Skills: 00:27:00 •Negotiation Techniques: 00:15:00 •Managing Meetings and Giving Feedback: 00:21:00 •Managing Change: 00:22:00 •Time Management: 00:37:00 •Stress Management: 00:15:00 •Emotional Intelligence in Leadership: 00:32:00 •Managing Conflict: 00:14:00 •Dealing with Office Politics: 00:34:00 •Risk Management: 00:35:00 •Corporate Responsibility and Ethics: 00:14:00 •Microsoft Word: 08:06:00 •Microsoft Excel: 03:59:00 •Microsoft PowerPoint: 08:24:00
Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00
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Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.
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Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special ISO 9001:2015 Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The ISO 9001:2015 Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This ISO 9001:2015 Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This ISO 9001:2015 Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this ISO 9001:2015? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 ISO 9001:2015 there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This ISO 9001:2015 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 skills. Prerequisites This ISO 9001:2015 does not require you to have any prior qualifications or experience. You can just enroll and start learning. This ISO 9001:2015 was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This ISO 9001:2015 is a great way for you to gain multiple skills from the comfort of your home. Module 01: Introduction To ISO 9001:2015 Introduction To ISO 9001:2015 00:25:00 Module 02: Clause 4 - Context Of The Organisation Clause 4 - Context Of The Organisation 00:24:00 Module 03: Clause 5 - Leadership Clause 5 - Leadership 00:25:00 Module 04: Clause 6 - Planning Clause 6 - Planning 00:22:00 Module 05: Clause 7 - Support Clause 7 - Support 00:32:00 Module 06: Clause 8 - Operation Clause 8 - Operation 00:38:00 Module 07: Clause 9 - Performance Evaluation Clause 9 - Performance Evaluation 00:35:00 Module 08: Clause 10 - Improvement Clause 10 - Improvement 00:30:00 Study material: Management System Auditing Study material: Management System Auditing 00:50:00