3934 Analyst courses delivered Online

Skincare: Skincare Training Course Online Unlock the Power of Skincare: Skincare Training Course: Enrol Now! Are you interested in working as a Skin Analyst (Skincare)? With this exclusive Skincare: Skincare Training Course, you will learn about Skin Analysis (Skincare) and how to become a Professional Beauty Therapist. This Skincare: Skincare Training Course will teach you the Skin Analysis technique (Skincare). This Skincare: Skincare Training Course will provide you in-depth knowledge about the beauty therapy Skin Analysis, as well as the skills that are much needed in beauty therapy. As Skin Analysis (Beauty Therapy) involves cosmetic treatments and their proper application to protect the skin, students will be given detailed information about the skin, its types, and so on. Enrol in this exclusive Skincare: Skincare Training Course today and gain the experience, skills, and knowledge you need to advance your professional development. Courses you will get with Skincare: Skincare Training Course Bundle Course 01: Skincare Course 02: Level 5 Fashion & Beauty Course Course 03: Massage Therapy [ Note: Free PDF certificate as soon as completing the Skincare: Dermatology & Aesthetics Skincare Training Course] Skincare: Skincare Training Course Online This Skincare: Skincare Training Course consists of 13 modules. Course Curriculum of Skincare: Skincare Training Course Module 01: An Overview of The Skin Anatomy Module 02: Understand Skin Nutrients Module 03: Understand Skin Care for Various Skin Types Module 04: Skin Care for People of Different Ethnicities Module 05: Reducing the Effects of Ageing Module 06: Examined Hair Removal Module 07: Understand Diagnosis of Skin Disease Module 08: Basic Information of Eczema Module 09: Disorders of Keratinization and Papulosquamous Skin Module 10: Recognise Skin Infections Module 11: Learn How to Treat Skin That Is Prone to Acne Module 12: Understand Seasonal Skincare Module 13: The Sun's Effects and Treatments Assessment Method of Skincare: Skincare Training Course After completing Skincare: Skincare Training Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Certification of Skincare: Skincare Training Course After completing the Skincare: Skincare Training Course, you can instantly download your certificate for FREE. Who is this course for? Skincare: Skincare Training Course Online This Skincare: Skincare Training Course is ideal for anyone interested in learning about Skincare or working in Beauty Skincare-related jobs. Requirements Skincare: Skincare Training Course Online To enrol in this Skincare: Skincare Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Skincare: Skincare Training Course. Be energetic and self-motivated to complete our Skincare: Dermatology & Aesthetics Skincare Course. Basic computer Skill is required to complete our Skincare: Dermatology & Aesthetics Skincare Course. If you want to enrol in our Skincare: Dermatology & Aesthetics Skincare Course, you must be at least 15 years old. Career path Skincare: Dermatology & Aesthetics Skincare Course Online

CRM: Customer Relationship Management Online Are you excited to start a job as front desh executive or the job which have direct interaction with customers? Then our comprehensive CRM Course (Customer Relationship Management) is perfect for you. This CRM Course (Customer Relationship Management) delves into customer-centric strategies and emphasizing the use of CRM tools for enhanced customer interactions. The CRM Course (Customer Relationship Management) participants gain insights into customer data analysis, segmentation and effective communication techniques. The CRM Course (Customer Relationship Management) fosters skills in CRM system implementation and aligning sales. Moreover, the CRM Course (Customer Relationship Management) involves marketing and service functions. The CRM Course (Customer Relationship Management) helps in optimizing overall business performance through strengthened customer relationships. As the CRM Course (Customer Relationship Management) is a great method to progress your profession the what are you waiting? Sign up for this CRM Course (Customer Relationship Management) immediately! Main Course: CRM: Customer Relationship Management Free courses included with CRM: Customer Relationship Management Course: Along with CRM: Customer Relationship Management Course you will get free Close Protection Course Along with CRM: Customer Relationship Management Course you will get free Security Management Course Special Offers of this CRM: Customer Relationship Management Course: This CRM: Customer Relationship Management Course includes a FREE PDF Certificate. Lifetime access to this CRM: Customer Relationship Management Course Instant access to this CRM: Customer Relationship Management Course 24/7 Support Available to this CRM: Customer Relationship Management Course CRM: Customer Relationship Management Online Our CRM Course (Customer Relationship Management) provides an introduction to Customer Relationship Management (CRM) along with its all functions. Also, the CRM Course (Customer Relationship Management) explains CRM strategies, and data analysis in CRM and CRM Databases. Moreover, this CRM Course (Customer Relationship Management) includes difficulties handling processes. Additionally, the CRM Course (Customer Relationship Management) explain how to deepen the customer relationship and the future of CRM. Who is this course for? CRM: Customer Relationship Management Anyone can take this CRM Course (Customer Relationship Management). Requirements CRM: Customer Relationship Management To enroll in this CRM: Customer Relationship Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our CRM: Customer Relationship Management Course. Be energetic and self-motivated to complete our CRM: Customer Relationship Management Course. Basic computer Skill is required to complete our CRM: Customer Relationship Management Course. If you want to enrol in our CRM: Customer Relationship Management Course, you must be at least 15 years old. Career path CRM: Customer Relationship Management After completing this CRM Course (Customer Relationship Management), you can work as a manager, customer service manager, CRM analyst, and many other positions!

Business Process Management: Business Process Management Course Online Unlock the Power of Business Process Management: Business Process Management Course: Enrol Now! Are you a working professional with a focus on business processes or management who aspires to take the lead in various methods for discovering, modelling, analyzing, measuring, improving, optimising, and automating business processes? Then our Business Process Management: Business Process Management Course is just what you need! Through this Business Process Management: Business Process Management Course you will gain a thorough understanding of the evolution of enterprise systems architectures, Business Process Management: Business Process Management Course and an introduction to the business process life cycle. You will also learn the steps of business process mapping with flow charts and diagrams, establishing business functions, identifying function leaders and adequately planning the modelling, monitoring and optimising phase. Main Course: Business Process Management course Free Courses included with Business Process Management: Business Process Management Course: Along with Business Process Management Course you will get free Level 5 Diploma in Business Analysis Along with Business Process Management Course you will get free Level 7 Diploma in Operations Management Special Offers of this Business Process Management: Business Process Management Course; This Business Process Management: Business Process Management Course includes a FREE PDF Certificate. Lifetime access to this Business Process Management: Business Process Management Course Instant access to this Business Process Management: Business Process Management Course 24/7 Support Available to this Business Process Management: Business Process Management Course Business Process Management: Business Process Management Course Online This Business Process Management: Business Process Management Course will provide a comprehensive understanding of Business Process Management, introducing key concepts, strategies, and in-depth information. It offers real-world knowledge and expertise from industry professionals and practitioners. Who is this course for? Business Process Management: Business Process Management Course Online This Business Process Management: Business Process Management Course is designed for anyone who wants to enhance their business process management skills. Requirements Business Process Management: Business Process Management Course Online To enrol in this Business Process Management: Business Process Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Business Process Management: Business Process Management Course. Be energetic and self-motivated to complete our Business Process Management: Business Process Management Course. Basic computer Skill is required to complete our Business Process Management course. If you want to enrol in our Business Process Management course, you must be at least 15 years old. Career path Business Process Management: Business Process Management Course Online After completing this Business Process Management: Business Process Management Course, you may able to pursue a variety of promising career opportunities, such as: Business Process Manager Business Analyst Entrepreneur Business Owner

Overview With the ever-increasing demand for Data Analysis 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 Data Analysis may be. Learning about Data Analysis 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 Data Analysis. 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 Data Analysis 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 Data Analysis Basics 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 Data Analysis Basics 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 Data Analysis Basics 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 Data Analysis, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Data Analysis, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Data Analysis, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path This Data Analysis Basics 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 - 01 - Introduction to Data Analysis its Applications Introduction to Data Analysis its Applications 00:00 Module - 02 - Probability Probability Distributions Probability Probability Distributions 00:00 Module - 03 - Decision making and Factors to Account for Decision making and Factors to Account for 00:00 Module - 04 - Data Mining Data Mining 00:00 Module - 05 - Optimization Situation modelling Optimization Situation modelling 00:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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 £85 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 Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Embark on a transformative journey through the intricate landscape of networking with the CompTIA Network+ Certification (N10-007). This course isn't just about mastering the intricacies of network models or delving into the depths of cabling and topology; it's about empowering yourself with the skills and knowledge to navigate the digital highways of the modern era confidently. Picture yourself as the architect, laying down the foundations of robust networks, securing them against digital threats, and troubleshooting with finesse. With CompTIA Network+ +, you're not just learning; you're shaping your future in information technology. In this comprehensive course, you'll traverse through 22 meticulously crafted sections, each unlocking a new facet of comptia networking. From understanding the fundamentals of TCP/IP to exploring the nuances of wireless networking and delving into virtualization and cloud computing, every lesson is a stepping stone towards network mastery. Through immersive learning experiences and hands-on comptia network+ practice tests, you'll absorb theoretical knowledge and hone your practical skills, preparing you for real-world challenges. Learning Outcomes: Master network models and topologies, laying a strong foundation for network architecture. Demonstrate proficiency in TCP/IP fundamentals and routing protocols for effective data transmission. Develop expertise in securing networks against cyber threats, ensuring data integrity and confidentiality. Acquire skills in network troubleshooting and monitoring, enabling swift resolution of issues. Apply wireless networking and cloud computing knowledge to design and implement scalable network solutions. Why buy this CompTIA Network+ Certification (N10-007)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the CompTIA Network+ Certification (N10-007) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this CompTIA Network+ Certification (N10-007) for? Aspiring IT professionals seeking to kickstart their careers in networking. Students aiming to enhance their employability with industry-recognized certifications. Career changers looking to transition into the dynamic field of information technology. IT professionals seeking to validate their skills and advance their careers. Anyone passionate about mastering the intricacies of comptia network and carving a niche in the digital landscape. Prerequisites This CompTIA Network+ Certification (N10-007) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA Network+ Certification (N10-007) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Network Administrator: £20,000 - £45,000 Per Annum Network Engineer: £25,000 - £55,000 Per Annum Systems Administrator: £22,000 - £50,000 Per Annum IT Support Technician: £18,000 - £35,000 Per Annum Cyber Security Analyst: £25,000 - £60,000 Per Annum Cloud Solutions Architect: £30,000 - £80,000 Per Annum Course Curriculum Section 01: Introduction Introduction 00:03:00 Section 02: Network Models What is a Model? 00:02:00 OSI vs. TCP/IP Model 00:07:00 Walking Through OSI and TCP/IP 00:12:00 Meet the Frame 00:06:00 The MAC Address 00:07:00 Broadcast vs. Unicast 00:04:00 Introduction to IP Addressing 00:08:00 Packets and Ports 00:05:00 Section 03: Cabling and Topology Network Topologies 00:10:00 Coaxial Cabling 00:05:00 Twisted Pair Cabling 00:06:00 Cat Ratings 00:06:00 Fiber Optic Cabling 00:09:00 Fire Ratings 00:05:00 Legacy Network Connections 00:07:00 Section 04: Ethernet Basics What is Ethernet? 00:07:00 Ethernet Frames 00:07:00 Early Ethernet 00:08:00 The Daddy of Ethernet, 10BaseT 00:03:00 Terminating Twisted Pair 00:14:00 Hubs vs. Switches 00:13:00 Section 05: Modern Ethernet 100BaseT 00:05:00 Connecting Switches 00:05:00 Gigabit Ethernet and 10-Gigabit Ethernet 00:05:00 Transceivers 00:07:00 Connecting Ethernet Scenarios 00:14:00 Section 06: Installing a Physical Network Introduction to Structured Cabling 00:04:00 Terminating Structured Cabling 00:08:00 Equipment Room 00:07:00 Alternative Distribution Panels 00:04:00 Testing Cable 00:09:00 Troubleshooting Structured Cabling, Part 1 00:05:00 Troubleshooting Structured Cabling, Part 2 00:05:00 Using a Toner and Probe 00:03:00 Wired Connection Scenarios 00:11:00 Section 07: TCP/IP Basics Introduction to IP Addressing and Binary 00:13:00 Introduction to ARP 00:04:00 Classful Addressing 00:10:00 Subnet Masks 00:12:00 Subnetting with CIDR 00:10:00 More CIDR Subnetting Practice 00:10:00 Dynamic and Static IP Addressing 00:18:00 Rogue DHCP Servers 00:07:00 Special IP Addresses 00:07:00 IP Addressing Scenarios 00:15:00 Section 08: Routing Introducing Routers 00:15:00 Understanding Ports 00:05:00 Network Address Translation 00:06:00 Implementing NAT 00:03:00 Forwarding Ports 00:18:00 Tour of a SOHO Router 00:12:00 SOHO vs. Enterprise 00:09:00 Static Routes 00:13:00 Dynamic Routing 00:11:00 RIP 00:04:00 OSPF 00:04:00 BGP 00:06:00 Section 09: TCP/IP Applications TCP and UDP 00:07:00 ICMP and IGMP 00:06:00 Handy Tools 00:07:00 Introduction to Wireshark 00:11:00 Introduction to netstat 00:09:00 Web Servers 00:12:00 FTP 00:12:00 E-mail Servers and Clients 00:09:00 Securing E-mail 00:06:00 Telnet and SSH 00:09:00 Network Time Protocol 00:02:00 Network Service Scenarios 00:10:00 Section 10: Network Naming Understanding DNS 00:12:00 Applying DNS 00:19:00 The Hosts File 00:04:00 Net Command 00:08:00 Windows Name Resolution 00:11:00 Dynamic DNS 00:05:00 DNS Troubleshooting 00:13:00 Section 11: Securing TCP/IP Making TCP/IP Secure 00:04:00 Symmetric Encryption 00:06:00 Asymmetric Encryption 00:03:00 Cryptographic Hashes 00:05:00 Identification 00:12:00 Access Control 00:04:00 AAA 00:05:00 Kerberos/EAP 00:08:00 Single Sign-On 00:10:00 Certificates and Trust 00:14:00 Certificate Error Scenarios 00:08:00 Section 12: Advanced Networking Devices Understanding IP Tunneling 00:06:00 Virtual Private Networks 00:13:00 Introduction to VLANs 00:12:00 InterVLAN Routing 00:03:00 Interfacing with Managed Switches 00:11:00 Switch Port Protection 00:07:00 Port Bonding 00:07:00 Port Mirroring 00:04:00 Quality of Service 00:05:00 IDS vs. IPS 00:04:00 Proxy Servers 00:13:00 Load Balancing 00:09:00 Device Placement Scenarios 00:13:00 Section 13: IPv6 Introduction to IPv6 00:13:00 IPv6 Addressing 00:15:00 IPv6 in Action 00:13:00 IPv4 and IPv6 Tunneling 00:05:00 Section 14: Remote Connectivity Telephony Technologies 00:09:00 Optical Carriers 00:03:00 Packet Switching 00:05:00 Connecting with Dial-up 00:05:00 Digital Subscriber Line (DSL) 00:05:00 Connecting with Cable Modems 00:04:00 Connecting with Satellites 00:03:00 ISDN and BPL 00:04:00 Remote Desktop Connectivity 00:05:00 Advanced Remote Control Systems 00:09:00 Section 15: Wireless Networking Introduction to 802.11 00:12:00 802.11 Standards 00:12:00 Power over Ethernet (PoE) 00:04:00 Antennas 00:09:00 Wireless Security Standards 00:16:00 Implementing Wireless Security 00:07:00 Threats to Your Wireless Network 00:07:00 Retro Threats 00:05:00 Wi-Fi Protected Setup (WPS) 00:05:00 Enterprise Wireless 00:06:00 Installing a Wireless Network 00:15:00 Wireless Scenarios 00:07:00 More Wireless Scenarios 00:09:00 Section 16: Virtualization and Cloud Computing Virtualization Basics 00:07:00 Cloud Ownership 00:03:00 Cloud Implementation 00:12:00 Your First Virtual Machine 00:09:00 NAS and SAN 00:16:00 Platform as a Service (PaaS) 00:09:00 Software as a Service (SaaS) 00:03:00 Infrastructure as a Service (IaaS) 00:10:00 Section 17: Mobile Networking Cellular Technologies 00:05:00 Mobile Connectivity 00:07:00 Deploying Mobile Devices 00:05:00 Mobile Access Control 00:06:00 Section 18: Building a Real-World Network Network Types 00:04:00 Network Design 00:10:00 Power Management 00:06:00 Unified Communications 00:11:00 Network Documentation 00:07:00 Contingency Planning 00:10:00 Predicting Hardware Failure 00:05:00 Backups 00:08:00 Section 19: Managing Risk What is Risk Management? 00:06:00 Security Policies 00:08:00 Change Management 00:07:00 User Training 00:03:00 Standard Business Documentation 00:05:00 Mitigating Network Threats 00:05:00 High Availability 00:05:00 Section 20: Protecting Your Network Denial of Service 00:09:00 Malware 00:10:00 Social Engineering 00:04:00 Access Control 00:08:00 Man-in-the-Middle 00:22:00 Introduction to Firewalls 00:05:00 Firewalls 00:10:00 DMZ 00:06:00 Hardening Devices 00:14:00 Physical Security Controls 00:09:00 Testing Network Security 00:08:00 Network Protection Scenarios 00:14:00 Section 21: Network Monitoring SNMP 00:15:00 Documenting Logs 00:09:00 System Monitoring 00:08:00 SIEM (Security Information and Event Management) 00:07:00 Section 22: Network Troubleshooting Network Troubleshooting Theory 00:05:00

The Agile Project Manager (On-Demand) Change isn't coming, it's already here. The project environment is becoming more volatile, uncertain, complex, and ambiguous. Project management and project managers must transform and evolve in order to keep up with these changes. Agile has been a disruptor in the field of project management, having over 20 years of successes and benefits to organizations that have adopted their frameworks. The Agile frameworks have proven themselves to be more adept in dealing with this uncertainty. But Agile isn't just about following a different way of working. What do you need to learn, do, and become in order to continue in the current and future environment? It is a powerful combination of knowledge, competencies, and mindset. In an increasingly complicated project environment, this course provides participants with the knowledge needed to not only survive but thrive. What you will Learn At the end of this program, you will be able to: Evaluate the changing project environment and the needed knowledge, skills, and behaviors Demonstrate innovative project manager competencies of leading change, servant leadership, and focus on value Utilize Lean and Agile principles to maximize value and improve project performance Construct a hybrid Agile model that is unique to your project Assess your role in Business Agility as an Agile Project Manager Getting Started Introductions Workshop orientation Expectations Foundations Recap: What is Agile? A changed project environment The future project manager Agile Project Management Competencies Focusing on value Championing change Servant leadership Coaching / mentorship Facilitation Lean and Agile Principles Optimizing flow Making things small Continuous planning Just-In-Time requirements Visualizing work Hybrid Agile Considerations Considering a Hybrid Approach Examining Strengths and Weaknesses of Each Approach Selecting Waterfall / Agile Roles, Practices, and Techniques Reviewing Three Hybrid Scenarios Constructing the Hybrid Project Implementing Agile Pitfalls and Concerns Agile in the Organization Business Agility Summary and Next Steps

Description: Sales is a crucial function in any business or organisation and is increasingly important in the modern globalized economy. Proper analysis can help your business reach new customers and increase brand awareness. Achieve relevant knowledge and skills in all aspects of digital social media, public relations, market research, strategies and management. Business and Sales Analysis skills are undoubtedly vital in today's world. Products and brands large and small need a solid, experienced Business and Sales Analysis professional behind them. In this course, you will learn about Web Business Development, Fundamentals of Business and Sales Analysis, and how to drive your customers toward sales. Get started with this Business and Sales Analysis course today. 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? Business and Sales Analysis Diploma 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 Business and Sales Analysis Diploma 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. Introduction to Business Management Designing Your Organizational Structure 00:30:00 Introduction to Operations Management 00:15:00 Understanding Financial Terms 00:30:00 Getting the Right People in Place 00:15:00 Getting Your Product Together 00:15:00 Building a Corporate Brand 00:30:00 Marketing Your Product 01:00:00 Selling Your Product 00:15:00 Planning for the Future 00:15:00 Goal Setting and Goal Getting 00:30:00 Succession Planning 101 00:15:00 Managing Your Money 00:15:00 Ethics 101 00:15:00 Building a Strong Customer Care Team 00:15:00 Training Employees for Success 00:15:00 Leadership Essentials 00:15:00 Business Process Management The Fundamentals of Business Process Management 00:30:00 Defining Business Process Management 00:30:00 The Business Process Life Cycle 00:15:00 Making the Change 00:15:00 The Vision Phase 00:15:00 The Design Phase 01:00:00 How Does It Look? 00:15:00 The Modeling Phase 00:30:00 Execution Phase 00:07:00 The Monitoring Phase 00:30:00 The Optimizing Phase 01:00:00 Business Planning and Analysis Business Planning Basics 01:00:00 Market Evaluation 01:00:00 Analyze Competition 01:00:00 Determine A Marketing Strategy 01:00:00 Decide What Extras You May Need Like Staff etc 00:30:00 The Dangers In Not Making A Business Plan 00:15:00 Strategic Planning Understanding Strategic Planning 00:15:00 Designing Our Vision 00:15:00 On a Mission 00:15:00 Performing a SWOT Analysis 00:15:00 Setting Goals 00:30:00 Assigning Roles, Responsibilities, and Accountabilities 00:30:00 The Full Picture 00:15:00 Gathering Support 00:15:00 Getting There 00:15:00 Business Branding The Purple Cow 00:30:00 Try to be an Exceptionist 00:30:00 Make Yourself Well Recognised Before Your Customers 00:15:00 Wow Your Customers 00:30:00 Develop a Personal Style 00:30:00 Use Creative Imageries to Catch the Attention 00:30:00 Be a Traditionalist, Not a Fad Chaser 00:15:00 Bringing Out the Purple Cow in Your Business 00:30:00 Sales Analysis What Is A Sales Funnel? 00:30:00 What is Internet Commerce? 00:30:00 What Can I Sell 00:30:00 Clickbank 00:30:00 Drop Shipping 00:30:00 Affiliate Marketing 00:30:00 The Link Between Products, Key Words and Prospects 00:15:00 The Front-end and Back-end of Sales Funnels 00:30:00 Sales Funnel Success 00:30:00 Sales Funnel Planning 00:30:00 Putting Your Theory to Practice 00:30:00 Content Marketing 00:30:00 Article Marketing 00:30:00 Google's Adwords Program 00:30:00 Marketing Offline 00:30:00 Blogs 00:30:00 Social Media 00:30:00 Auto Responders 00:30:00 The Joint Venture 00:30:00 Top Sales Funnel Products 00:30:00 Mock Exam Mock Exam - Business and Sales Analysis Diploma 00:30:00 Final Exam Final Exam - Business and Sales Analysis Diploma 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Beauty Skincare: Beauty Skincare Training Online Unlock the Power of Beauty Skincare: Beauty Skincare Training Course: Enrol Now! Are you interested in working as a Skin Analyst (Aesthetics Skincare)? With this exclusive Beauty Skincare: Beauty Skincare Training Course, you will learn about Skin Analysis (Aesthetics Skincare) and how to become a Professional Beauty Therapist. This Beauty Skincare: Beauty Skincare Training Course will teach you the Skin Analysis technique (Aesthetics Skincare). Unlock radiant skin with our ultimate Skincare course! Discover essential Skincare tips and techniques to transform your routine. Master the art of effective Skincare and achieve glowing results. Our Skincare course delivers hands-on Skincare strategies for flawless beauty. Elevate your Skincare knowledge today with our expert-led Skincare training! Enrol in this exclusive Beauty Skincare: Beauty Skincare Training Course today and gain the experience, skills, and knowledge you need to advance your professional development. Main Course: Beauty Skincare Course Free courses included with Beauty Skincare: Beauty Skincare Training Course: Along with Beauty Skincare Course you will get free Level 5 Fashion & Beauty Course Along with Beauty Skincare Course you will get free Nail Technician (Manicure, Pedicure, Nail Art) Special Offers of this Beauty Skincare: Beauty Skincare Training Course: This Beauty Skincare: Beauty Skincare Training Course includes a FREE PDF Certificate. Lifetime access to this Beauty Skincare: Beauty Skincare Training Course Instant access to this Beauty Skincare: Beauty Skincare Training Course 24/7 Support Available to this Beauty Skincare: Beauty Skincare Training Course Beauty Skincare: Beauty Skincare Training Online Transform your beauty routine with our comprehensive Skincare course! Dive deep into Skincare secrets and uncover expert Skincare techniques. Our Skincare course covers every Skincare need, from basic to advanced Skincare strategies. Experience personalized Skincare advice and hands-on Skincare training. Master Skincare principles and revolutionize your Skincare regimen. Join now to excel in Skincare and achieve perfect Skincare results. Embrace the ultimate Skincare journey with our Skincare course today! Who is this course for? Beauty Skincare: Beauty Skincare Training Online This Beauty Skincare: Beauty Skincare Training Course is ideal for anyone interested in learning about Beauty Skincare: Skincare Training Course or working in Beauty Skincare-related jobs. Requirements Beauty Skincare: Beauty Skincare Training Online To enrol in this Beauty Skincare: Beauty Skincare Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Beauty Skincare: Beauty Skincare Training Course. Be energetic and self-motivated to complete our Beauty Skincare: Beauty Skincare Training Course. Basic computer Skill is required to complete our Beauty Skincare: Beauty Skincare Training Course. If you want to enrol in our Beauty Skincare: Beauty Skincare Training Course, you must be at least 15 years old. Career path Beauty Skincare: Beauty Skincare Training Online After completing this Beauty Skincare: Beauty Skincare Training Course, you may be able to pursue a variety of promising career opportunities in the Beauty Skincare: Skincare-related sector.

CRM: Customer Relationship Management Online Are you excited to start a job as front desh executive or the job which have direct interaction with customers? Then our comprehensive CRM Course (Customer Relationship Management) is perfect for you. This CRM Course (Customer Relationship Management) delves into customer-centric strategies and emphasizing the use of CRM tools for enhanced customer interactions. The CRM Course (Customer Relationship Management) participants gain insights into customer data analysis, segmentation and effective communication techniques. The CRM Course (Customer Relationship Management) fosters skills in CRM system implementation and aligning sales. Moreover, the CRM Course (Customer Relationship Management) involves marketing and service functions. The CRM Course (Customer Relationship Management) helps in optimizing overall business performance through strengthened customer relationships. As the CRM Course (Customer Relationship Management) is a great method to progress your profession the what are you waiting? Sign up for this CRM Course (Customer Relationship Management) immediately! Main Course: CRM: Customer Relationship Management Courses you will get along with this CRM: Customer Relationship Management Course: CRM Course Offers free Close Protection Course CRM Course Offers free Security Management Course Others benefit Included with CRM: Customer Relationship Management Course. Free 03 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the CRM: Customer Relationship Management Course] CRM: Customer Relationship Management Online Course Curriculum of CRM: Customer Relationship Management Module 01: Introduction to Customer Relationship Management (CRM) Module 02: CRM Fundamentals Module 03: CRM Strategies Module 04: Data Analysis in CRM Module 05: CRM Databases Module 06: Deepening Customer Relationship Module 07: Handling Customer Complaints Module 08: Future of CRM Assessment Method of CRM: Customer Relationship Management After completing CRM: Customer Relationship Management Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of CRM: Customer Relationship Management After completing the CRM: Customer Relationship Management Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? CRM: Customer Relationship Management Anyone can take this CRM Course (Customer Relationship Management). Requirements CRM: Customer Relationship Management To enroll in this CRM: Customer Relationship Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our CRM: Customer Relationship Management Course. Be energetic and self-motivated to complete our CRM: Customer Relationship Management Course. Basic computer Skill is required to complete our CRM: Customer Relationship Management Course. If you want to enrol in our CRM: Customer Relationship Management Course, you must be at least 15 years old. Career path CRM: Customer Relationship Management After completing this CRM Course (Customer Relationship Management), you can work as a manager, customer service manager, CRM analyst, and many other positions!