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Overview This comprehensive course on CompTIA Healthcare IT Technician will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA Healthcare IT Technician comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? 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 CompTIA Healthcare IT Technician. It is available to all students, of all academic backgrounds. Requirements Our CompTIA Healthcare IT Technician is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more!   Course Curriculum 6 sections • 27 lectures • 06:02:00 total length •Core Concepts in Healthcare IT 00:06:00 •EMR EHR Issues: 00:05:00 •Regulations, Standards, and Stakeholders: 00:14:00 •HIPAA Controls and Compliance: 00:08:00 •Healthcare Organizations: 00:14:00 •Medical Terminology, Equipment, and Software: 00:12:00 •Medical Coding and Billing: 00:05:00 •Medical Computer Interfaces: 00:07:00 •Roles and Responsibilities: 00:10:00 •Manage Communication and Ethics Issues: 00:15:00 •Legal Best Practices, Requirements, and Documentation: 00:09:00 •Medical Document Imaging: 00:04:00 •Sanitation Management: 00:03:00 •Computing Essentials: 00:05:00 •Networking: 00:33:00 •Manage Servers and Software: 00:27:00 •Hardware Support: 00:14:00 •Set Up a Workstation: 00:08:00 •Troubleshoot Basic IT Issues: 00:15:00 •Troubleshoot Medical IT Issues: 00:20:00 •Implementation of an EMR EHR System: 00:34:00 •Change Control: 00:08:00 •Manage Physical and Logical Security: 00:36:00 •Implement Security Best Practices and Threat Mitigation Techniques: 00:13:00 •Manage Remote Access: 00:06:00 •Manage Wireless Security: 00:15:00 •Perform Backups and Disaster Recovery: 00:16:00

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Duration 3 Days 18 CPD hours This course is intended for This course is designed for the following roles: System administrators Technical solutions architects Systems integrators Channel partners Value-added resellers Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview This course will help you: Use SaaS or on-prem version of Cisco Intersight to enable IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of tools Gain hands-on experience using Cisco Intersight Understand the X-Series, B-Series, and C-Series product line similarities and differences Describe Cisco Intersight and how it can be used to manage UCS and Cisco Hyperflex Understand the process for upgrading firmware with Cisco Intersight Administering server profiles, pools, and policies with Cisco Intersight Describe how to get started with Cisco Intersight programmability Cisco Intersight Overview (DCISO) v1.0 is a 3-day instructor led course that builds your experience with the administration of Cisco Unified Computing System (UCS) X-Series servers, including using Cisco Intersight for UCS management. This course covers architecture, configuration, and operation of Cisco Intersight©, and is designed to serve the needs of engineers seeking to understand the capabilities of Cisco Intersight for managing data centers from a single management platform. Course Outline Describing Cisco UCS Management in Cisco Intersight Describing the Cisco UCS Platform Describing Cisco Intersight Workloads Describing Automation Options Using Cisco Intersight

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Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

***24 Hour Limited Time Flash Sale*** Computer Maintenance Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Do you ever feel frustrated by your computer running slow, crashing unexpectedly or showing error messages? According to a recent study by YouGov, nearly 70% of UK adults have experienced a computer problem they couldn't fix themselves. This comprehensive Computer Maintenance Bundle equips you with the skills to not only troubleshoot these everyday issues but potentially pursue a career in IT support. Are you ready to take control of your technology and maybe even help others with theirs? This extensive bundle offers a one-stop shop for everything computer maintenance related. Whether you're a complete beginner or an experienced IT professional, you'll find a course to suit your needs. 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After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £389) CPD Hard Copy Certificate: Free ( For The First Course: Previously it was £29.99) CPD 300 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: DIY Tech Enthusiasts IT Support Aspirants Cybersecurity Professionals Network Administrators Data Protection Specialists Career Changers Career Path 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. IT Technician Helpdesk Analyst Network Engineer Security Analyst Data Center Specialist IT Consultant Certificates 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.

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The 'Unix Administration: Unix Operating System' course offers a comprehensive introduction to Unix, focusing on key concepts, file and directory management, essential commands, and the basics of the VI text editor. Participants will gain practical knowledge and skills in Unix administration, enabling them to navigate and manage the Unix operating system effectively. Learning Outcomes: Understand the fundamentals of Unix and its significance in modern computing. Explore directory and file management techniques, including creation, manipulation, and organization. Master essential Unix commands for tasks such as navigation, file operations, and system management. Learn the basics of the VI text editor for efficient file editing and manipulation. Acquire proficiency in using Unix shell commands to enhance system administration. Develop skills in managing user accounts, permissions, and security settings. Gain knowledge of process management and system monitoring in Unix. Understand basic networking concepts and how they apply to Unix systems. Why buy this Unix Administration: Unix Operating System? 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 Unix Administration: Unix Operating System 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 course for? This Unix Administration: Unix Operating System does not require you to have any prior qualifications or experience. You can just enrol and start learning.  IT professionals seeking to enhance their Unix administration skills. System administrators and network administrators working with Unix-based systems. Software developers and programmers interested in Unix environments. Students and enthusiasts looking to gain hands-on experience with Unix. Individuals pursuing a career in IT infrastructure and system management. Prerequisites This Unix Administration: Unix Operating System 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 Unix System Administrator - Median salary of £40,000 - £50,000 per year. Network Administrator - Median salary of £30,000 - £40,000 per year. IT Operations Manager - Median salary of £50,000 - £70,000 per year. Software Developer - Median salary of £35,000 - £45,000 per year. IT Consultant - Median salary of £40,000 - £60,000 per year. Course Curriculum Unix Administration: Unix Operating System Introduction to Unix 01:00:00 Directory and File Management (Part- I) 00:58:00 Directory and File Management (Part- II) 00:59:00 Commands in Unix 00:59:00 Basics of VI Editor 00:59:00 Assignment Assignment - Unix Administration: Unix Operating System 00:00:00