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Feeling Stuck in Your Career? The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Python for Data Science and Machine Learning bundle provides an engaging learning experience, helping you learn skills across various disciplines. With Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Python for Data Science and Machine Learning bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. 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Bundle Comprises the Following CPD Accredited Courses: Course 01: Machine Learning Basics Course 02: Azure Machine Learning Course 03: Python Intermediate Training Course 04: Python Data Science Course 05: 2021 Data Science & Machine Learning with R from A-Z Course 06: Complete Python Machine Learning & Data Science Fundamentals Course 07: Learn Python, JavaScript, and Microsoft SQL for Data science Course 08: Spatial Data Visualisation and Machine Learning in Python Course 09: Complete Python Machine Learning & Data Science Fundamentals Course 10: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 11: Deep Learning & Neural Networks Python - Keras Course 12: The Complete Python 3 Course: Beginner to Advanced! Course 13: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 14: Clinical Data Management with SAS Programming Course 15: Certificate in Data Entry and Management Course 16: Quick Data Science Approach from Scratch Course 17: SQL for Data Science, Data Analytics and Data Visualization Course 18: Programming AutoCAD with SQL Server Database Using C# Course 19: Big Data Analytics with PySpark Power BI and MongoDB Course 20: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 21: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 22: Data Center Training Essentials: Power & Electrical Course 23: Business Intelligence and Data Mining Course 24: Data Analysis In Excel Course 25: CV Writing and Job Searching Course 26: Learn to Level Up Your Leadership Course 27: Networking Skills for Personal Success Course 28: Ace Your Presentations: Public Speaking Masterclass Course 29: Learn to Make a Fresh Start in Your Life Course 30: Motivation - Motivating Yourself & Others What will make you stand out? Upon completion of this online Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle, you will gain the following: CPD QS Accredited Proficiency with this Python for Data Science and Machine Learning Bundle After successfully completing the Python for Data Science and Machine Learning bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Python for Data Science and Machine Learning Bundle The online test with immediate results You can study and complete the Python for Data Science and Machine Learning bundle at your own pace. Study for the Python for Data Science and Machine Learning bundle using any internet-connected device, such as a computer, tablet, or mobile device. The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Python for Data Science and Machine Learning bundle, a comprehensive, complete collection of 30 courses. Each course in the Python for Data Science and Machine Learning bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Python for Data Science and Machine Learning bundle offers the flexibility and convenience to learn at your own pace. Make the Python for Data Science and Machine Learning package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! is perfect for: Expand your knowledge and skillset for a fulfilling career with the Python for Data Science and Machine Learning bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Python for Data Science and Machine Learning bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Python for Data Science and Machine Learning bundle. Learn on your schedule, in the comfort of your home - the Python for Data Science and Machine Learning bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Python for Data Science and Machine Learning bundle. Certificates CPD Certificates Digital certificate - Included

14 in 1 "IT and Analytics Training Training" Bundle only at £ 79 Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now Tired of browsing and searching for a IT and Analytics Training course you are looking for? Can't find the complete Training package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive IT and Analytics Training bundle that has everything you need to succeed in IT and Analytics Training and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Training bundle has been designed by industry experts. We prioritised what learners were looking for in a complete IT and Analytics Training package and developed this in-demand Training course that will enhance your skills and prepare you for the competitive job market. 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This Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Quick Data Science Approach from Scratch Course 03: Excel Pivot Tables Course 04: Google Data Studio: Data Analytics Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 06: Business Intelligence and Data Mining Masterclass Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: RCA: Root Cause Analysis Course 09: Master JavaScript with Data Visualization Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 11: Electronic Document Management System Step Course 12: IT For Recruiters Enrol now to advance your career, and use the premium study materials from Apex Learning. Benefits you'll get from choosing Apex Learning for this training: Pay once and get lifetime access to 14 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn anytime, from anywhere Study from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the 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) Curriculum Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding --------Other Courses Are-------- Course 02: Quick Data Science Approach from Scratch Course 03: Excel Pivot Tables Course 04: Google Data Studio: Data Analytics Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 06: Business Intelligence and Data Mining Masterclass Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: RCA: Root Cause Analysis Course 09: Master JavaScript with Data Visualization Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 11: Electronic Document Management System Step Course 12: IT For Recruiters CPD 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this IT and Analytics Training bundle including- Students Graduates Job Seekers Job Holders Requirements Our Training is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. This Training course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G. Career path Having this Training expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

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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

Data Is The Language Of The Powerholders | Designed By Industry Specialists | Level 7 QLS Endorsed Career Objective Driven Data Science Courses | 10 QLS Endorsed Hard Copy Certificates Included | Lifetime Access | Installment Payment | Tutor Support

Get ready for an exceptional online learning experience with the Big Data Analysis & Data Science Diploma bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Big Data Analysis & Data Science Diploma is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Data Analysis & Data Science Diploma package has something for everyone. As part of the Big Data Analysis & Data Science Diploma package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analysis & Data Science Diploma bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This bundle comprises the following courses: CPD Quality Standards Courses: Big Data Analytics with PySpark Power BI and MongoDB Big Data Analytics with PySpark Tableau Desktop and MongoDB Building Big Data Pipelines with PySpark MongoDB and Bokeh Develop Big Data Pipelines with R & Sparklyr & Tableau Develop Big Data Pipelines with R, Sparklyr & Power BI Complete Python Machine Learning & Data Science Fundamentals Learning Outcome: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Data Analysis & Data Science Diploma Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the Data Analysis & Data Science Diploma. Build a strong knowledge base in your chosen course via the Data Analysis & Data Science Diploma. Benefit from the flexibility and convenience of online learning. With the Data Analysis & Data Science Diploma package, validate your learning with a CPD certificate. Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Big Data Analysis & Data Science Diploma, a rich anthology of 15 diverse courses. Each course in the Data Analysis & Data Science Diploma bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisBig Data Analysis & Data Science Diploma bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Big Data Analysis & Data Science Diploma bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analysis & Data Science Diploma package your trusted companion in your lifelong learning journey. CPD 25 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Big Data Analysis & Data Science Diploma bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Career path Unleash your potential with the Big Data Analysis & Data Science Diploma bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Big Data Analysis & Data Science Diploma bundle package. Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Advanced Business Writing Skills (One-to-One Coaching – 10 Hours + Access to Online Course – 30 hours)

Package Details: Number of Courses: 30 Courses Accreditation: CPD Quality Standards Free Certificates:PDF: 30Hardcopy: 30 (Delivery Charge Applicable) Courses Access: Lifetime Instalment Payment Available Basic Programming (C, Java, Python, SQL) Course 01: Diploma in Computer Programming Course 02: C# Programming - Beginner to Advanced Course 03: Master JavaScript with Data Visualization Course 04: SQL Programming Masterclass Course 05: Python Programming for Everybody Course 06: Javascript Programming for Beginners Course 07: jQuery: JavaScript and AJAX Coding Bible Structural Programming Course 01: Kotlin Programming : Android Coding Course 02: Sensors Course 03: Remote Sensing in ArcGIS Course 04: Linux Shell Scripting Course 05: Bash Scripting, Linux and Shell Programming Course 06: Coding with Scratch Course 07: CSS Coding Data Driven Programming Course 01: Quick Data Science Approach from Scratch Course 02: Secure Programming of Web Applications Course 03: A-Frame Web VR Programming Course 04: Complete AutoLISP Programming AutoCAD Programming Course 01: AutoCAD Programming using C# with Windows Forms Course 02: AutoCAD Programming using VB.NET with Windows Forms Programming for Computer Building Course 01: Building Your Own Computer Course 02: Neuro-linguistic Programming (NLP) Diploma Programming for Security Course 01: Cyber Security Incident Handling and Incident Response Course 02: Computer Networks Security Course 03: IT Asset Department IT Soft Skills Course 01: Functional Skills IT Course 02: CompTIA Healthcare IT Technician Course 03: Basic Google Data Studio Course 04: Data Analytics with Tableau Course 05: Recovering from a Job Loss in Technology Computer Programming Fundamental Course This Computer Programming Fundamental bundles' curriculum has been designed by Computer Programming Fundamental experts with years of Computer Programming Fundamental experience behind them. The Computer Programming Fundamental course is extremely dynamic and well-paced to help you understand Computer Programming Fundamental with ease. You'll discover how to master Computer Programming Fundamental skills while exploring relevant and essential topics. CPD 310 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Computer Programming Fundamental Course Requirements Computer Programming Fundamental Course Career path Computer Programming Fundamental Course

Develop and improve your IT knowledge and skills and advance your career A comprehensive IT course with both theoretical explanation and practical exercises to teach you, improve your IT skills, and advance your career. The course is delivered by an IT expert trainer with many years of experience in the field of information technology. Successfully complete the practical tasks and tests through the course and the final exam to consolidate your knowledge and skills. We created a professionally designed, advanced IT course to answer all your needs. We created an IT guide for all newcomers in the field and suitable for those already involved in IT service at the same time. It will make you proficient in the most important aspects of IT so you can enjoy limitless career prospects worldwide. The course will be delivered through a multimedia platform Kemp Center and will eventually bring you a valuable certificate of completion. It gives you the opportunity to study at any time in the comfort of your own home and at your own pace from any device that has an internet connection. It is designed for everyone interested in the IT field. The course begins with an introduction to information technology; and then explores computer hardware and software; operating systems, how they interact with computer hardware, and how to start up, install and uninstall the most widely used operating systems today – Windows and Linux. You will also learn about the Internet and networking, database systems and data analytics, the importance of troubleshooting and customer support, information assurance, and security. This course will enrich you with both, theoretical knowledge and practical skills that will help you start your IT career from 0, or to improve further your career getting more advanced IT roles. Join the communication course and get the benefits: Learning from a professional instructor24/7 access from any devicePractical exercisesTests, quizzes and recapsCertificate of completionExtra materials and downloadable bonuses100% satisfaction guarantee Your Singing Instructor: Toni Matthijs IT Expert The Information technology course will be delivered by Toni Matthijs -an IT expert, the best one in the field with many years of experience and an active role in information technology. Our IT expert will introduce you to the world of Information technology very carefully and detailed and will teach you how to properly organize and store data using various telecommunication systems. You will learn about computer hardware and software, about today’s most widely used operating systems: Windows and Linux, about Internet and networking, database systems and data analytics, troubleshooting and customer service, information assurance, and security. Your expert trainer will assist you and guide you through several knowledge repetitions, practical tasks, and tests to make sure you remember all the important information and consolidate your gained knowledge even better. In the end, you will be capable to use everything you learned in practice like an IT master. Overview of the course: Detailed video presentation Practical knowledge about business administration Practical knowledge of information technology, from installing software to managing databases. The course touches on selected topics in IT fundamentals among others: computer hardware and software, operating systems, installing, updating and uninstalling computer software, networking, databases and data analytics, troubleshooting and customer support, information assurance and security. Real examples of IT environment Assembling a computer from scratch, installing operating system on computer, installing, updating and uninstalling software on Windows and Linux, networking, creating database, stages of analytics process, using troubleshooting skills to solve a problem, developing an effective strategy for information assurance and security. Training videos In the course, you will find many training videos and video tutorials that will provide you with deeper knowledge about IT field and with practical IT skills that you can implement in your everyday IT tasks. 1. Hardware This section will introduce you the computer inside. Actually, you will learn all the components or different pieces inside a computer that together present the computer hardware. You will discover the function of each component and how all hardware components work together to make a computer function. By the end of this module, you will be able to build a computer from scratch! 2. Operating system In this section you will become familiar with operating systems, particularly those that are most widely used today and learn how an operating system interacts with computer hardware. 3. Networking This unit will introduce you to computer networking in practical and theoretical way. 4. Software This section focuses on computer software. By the end of this module, you will be able to install, update and remove software on both Windows and Linux operating systems. 5. Data analysis This section gives an overview of the concepts related to data analysis. 6. Troubleshooting and customer support In this section of the course, you’ll learn about the importance of troubleshooting and customer support. By the end of this module, you will utilize soft skills and write documentation to communicate with others. 7. Security and information assurance The last section of the course is a survey of the fundamental elements of computer security and information assurance. Knowledge repetitions and tests Repetitions of acquired knowledge and tests This course begins with a comprehensive introduction to the world of information technology. Through the course, you will have 9 repetitions and 9 tests that will allow you to check the acquired knowledge and better remember the topics discussed in the course. Final test Passing the final test means that you have enough knowledge and skills in the field of information technology and that you became a certified IT, expert. Practical tasks Practical tasks about: Counting in binary Assemble a computer from scratch Choose and install an operating system on a computer IP addressing and sub-netting Installing software on Windows Creating database, importing and exporting information for use in another application Using data to drive successful outcomes Troubleshooting Developing an effective information assurance strategy Bonus materials for the course: Advice on how to develop an effective strategy for information assurance and security A practical guide on how to install, update and uninstall operation systems, software, and other applications on the computer List of practical advice on how to improve your IT skill Practical guide on how to assemble a computer from scratch and how to work with computers successfully A letter from your expert instructor: The world of IT management is growing at a rapid pace and having the right skills and experience can help you develop and further improve your qualifications that will lead you to a lucrative career. We are pleased to present you and invite you to most popular and advanced study program for information technology – IT that aims to prepare you for a role of IT Specialist.In the course, you will be introduced to the world of IT through carefully, detailed developed lessons. The material shared covers plenty of IT topics and is designed to give you deeper knowledge of the IT field. The course will instruct you and teach you how to accomplish common IT tasks with the best tools and resources.This certificate course will equip you with the skills and working practices you need to apply to any IT job and that you need to succeed at all stages of your IT career. It will help you to develop and further improve your knowledge at a range of a master of IT.Investing in yourself is not wasting money and time, but a key for a better future ahead. Enroll our self-paced IT course now and start learning today, so you can benefit tomorrow!Toni Matthijs- IT Expert

Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud and corruption.