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Welcome to Calculus Level 1 - Learn Differentiation, the course that will turn you into a differentiation expert. This course is the perfect stepping-stone to ignite your passion for calculus and launch you into the world of mathematical complexities with ease. We've designed this Calculus Level 1 - Learn Differentiation course to be your comprehensive guide, taking you from basic rules to advanced techniques in the realm of differentiation. In the initial sections, you'll find a clear, understandable introduction to the field of calculus and the fundamental rules of differentiation. We will then be diving into the differentiation of trigonometric, exponential, and logarithmic functions. This will equip you with the tools to handle any type of function thrown your way. As we progress, the course will gently introduce the Chain Rule and strengthen your understanding of it, making complex calculations a breeze. The advanced sections venture into intriguing areas like the differentiation of inverse and hyperbolic trig functions, implicit functions, and parametric functions. Techniques like Logarithmic Differentiation and the understanding of higher order derivatives are broken down and explained in an easy-to-digest manner. You will not only have mastered the skill of differentiation after completing the Calculus Level 1 - Learn Differentiation course, but you will also have laid a solid basis for higher calculus. This course combines theory, problem-solving, and revision portions, making it ideal for people new to the field and those wishing to improve their knowledge. Join us on this mathematical adventure to discover the brilliance of calculus in a whole new light. Sign up now! Learning Outcomes: Upon completion of the Calculus Level 1 - Learn Differentiation course, you should be able to: Understand the basics and fundamental principles of differentiation. Differentiate trigonometric and exponential functions with ease. Master the application of the Chain Rule in differentiation. Execute differentiation of inverse and hyperbolic trig functions. Comprehend and apply differentiation to implicit functions. Gain proficiency in logarithmic differentiation. Derive and solve higher order derivative functions. Who is this course for? This course is perfect for: High school students seeking a firm grasp on calculus. Undergraduates looking to bolster their mathematics foundation. Professionals needing a refresher course in calculus. Aspiring mathematicians and engineers who use calculus extensively. Career Path: Upon completion of the Calculus Level 1 - Learn Differentiation course, you open up a world of opportunities. This foundational knowledge in calculus can lead you to a wide range of careers in fields such as engineering, physics, computer science, economics, and more. 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You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Course Curriculum Section 01: Introduction Module 01: Promotional video 00:02:00 Module 02: Quick Guide 00:01:00 Section 02: Fundamental Rules for Differentiation Module 01: Power Rule 00:14:00 Module 02: Practice Problems Part 1 00:09:00 Module 03: Practice Problems Part 2 00:06:00 Module 04: Product Rule 00:13:00 Module 05: Quotient Rule 00:06:00 Module 06: Chain Rule For Differentiation 00:10:00 Section 03: Differentiation of Trigonometric Functions Module 01: Derivatives of Trigonometric functions 00:08:00 Module 02: Product Rule with Trigonometric Functions 00:11:00 Module 03: Quotient Rule with Trigonometric Functions 00:13:00 Module 04: Chain Rule with Trigonometric Functions Part 1 00:11:00 Module 05: Chain Rule with Trigonometric Functions Part 2 00:10:00 Module 06: Chain Rule with Trigonometric Functions Part 3 00:10:00 Section 04: Differentiation of Exponential Functions Module 01: Exponential Derivatives 00:13:00 Module 02: Chain Rule for Exponential Functions 00:14:00 Module 03: Derivatives of Exponential functions involving Trig Functions 00:12:00 Section 05: Differentiation of Logarithmic Functions Module 01: Derivatives of Logarithmic functions Part 1 00:09:00 Module 02: Derivatives of Logarithmic functions Part 2 00:10:00 Module 03: Derivatives of Logarithmic functions Part 3 00:06:00 Module 04: Problems involving Logarithmic and Trig functions part 1 00:09:00 Module 05: Problems involving Logarithmic and Trig functions part 2 00:07:00 Module 06: Problems involving Logarithmic and Trig functions part 3 00:05:00 Section 06: Revision Section 0on Chain Rule Module 01: Revision of Chain Rule Part 1 00:08:00 Module 02: Revision of Chain Rule Part 2 00:12:00 Module 03: Practice Problems Part 1 00:09:00 Module 04: Practice Problems Part 2 00:07:00 Section 07: Differentiation of inverse Trig Function Module 01: Derivatives of Inverse Trig Functions Part 1 00:09:00 Module 02: Derivatives of Inverse Trig Functions Part 2 00:11:00 Section 08: Differentiation of Hyperbolic Trig Functions Module 01: Derivatives of Hyperbolic Trig functions part 1 00:07:00 Module 02: Derivatives of Hyperbolic Trig functions part 2 00:07:00 Module 03: Derivatives of Inverse Hyperbolic Trig functions 00:09:00 Section 09: Differentiation of Implicit functions Module 01: Differentiation of Implicit functions Part 1 00:11:00 Module 02: Differentiation of Implicit functions Part 2 00:06:00 Module 03: Differentiation of Implicit functions involving Trig functions-1 00:16:00 Module 04: Differentiation of Implicit functions involving Trig functions-2 00:10:00 Section 10: Logarithmic Differentiation Module 01: Logarithmic Differentiation Part 1 00:13:00 Module 02: Logarithmic Differentiation Part 2 00:07:00 Module 03: Logarithmic Differentiation Part 3 00:13:00 Module 04: Logarithmic Differentiation Part 4 00:08:00 Module 05: Logarithmic Differentiation Part 5 00:10:00 Module 06: Logarithmic Differentiation Part 6 00:09:00 Module 07: Logarithmic Differentiation Part 7 00:11:00 Section 11: Differentiation of Parametric Functions Module 01: Differentiation of Parametric Functions Part 1 00:12:00 Module 02: Differentiation of Parametric Functions Part 2 00:09:00 Module 03: Differentiation of a function w. r. t. another function Part 1 00:11:00 Module 04: Differentiation of a function w. r. t. another function Part 2 00:05:00 Section 12: Differentiation of Higher order derivatives Module 01: Higher order derivatives Part 1 00:09:00 Module 02: Higher order derivatives Part 2 00:04:00 Module 03: Higher order derivatives Part 3 00:10:00 Module 04: Higher order derivatives Part 4 00:09:00 Module 05: Higher Order Derivatives involving Trig Functions 00:06:00 Module 06: Second order derivatives with Parametric functions 00:13:00
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Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing. Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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
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Experts created the CompTIA Network+ Certification (N10-007) course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! Why Prefer this CompTIA Network+ Certification (N10-007) Course? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** Here is the curriculum breakdown of course: Section 01: Introduction Introduction Section 02: Network Models What is a Model? OSI vs. TCP/IP Model Walking Through OSI and TCP/IP Meet the Frame The MAC Address Broadcast vs. Unicast Introduction to IP Addressing Packets and Ports Section 03: Cabling and Topology Network Topologies Coaxial Cabling Twisted Pair Cabling Cat Ratings Fiber Optic Cabling Fire Ratings Legacy Network Connections Section 04: Ethernet Basics What is Ethernet? Ethernet Frames Early Ethernet The Daddy of Ethernet, 10BaseT Terminating Twisted Pair Hubs vs. Switches Section 05: Modern Ethernet 100BaseT Connecting Switches Gigabit Ethernet and 10-Gigabit Ethernet Transceivers Connecting Ethernet Scenarios Section 06: Installing a Physical Network Introduction to Structured Cabling Terminating Structured Cabling Equipment Room Alternative Distribution Panels Testing Cable Troubleshooting Structured Cabling, Part 1 Troubleshooting Structured Cabling, Part 2 Using a Toner and Probe Wired Connection Scenarios Section 07: TCP/IP Basics Introduction to IP Addressing and Binary Introduction to ARP Classful Addressing Subnet Masks Subnetting with CIDR More CIDR Subnetting Practice Dynamic and Static IP Addressing Rogue DHCP Servers Special IP Addresses IP Addressing Scenarios Section 08: Routing Introducing Routers Understanding Ports Network Address Translation Implementing NAT Forwarding Ports Tour of a SOHO Router SOHO vs. Enterprise Static Routes Dynamic Routing RIP OSPF BGP Section 09: TCP/IP Applications TCP and UDP ICMP and IGMP Handy Tools Introduction to Wireshark Introduction to netstat Web Servers FTP E-mail Servers and Clients Securing E-mail Telnet and SSH Network Time Protocol Network Service Scenarios Section 10: Network Naming Understanding DNS Applying DNS The Hosts File Net Command Windows Name Resolution Dynamic DNS DNS Troubleshooting Section 11: Securing TCP/IP Making TCP/IP Secure Symmetric Encryption Asymmetric Encryption Cryptographic Hashes Identification Access Control AAA Kerberos/EAP Single Sign-On Certificates and Trust Certificate Error Scenarios Section 12: Advanced Networking Devices Understanding IP Tunneling Virtual Private Networks Introduction to VLANs InterVLAN Routing Interfacing with Managed Switches Switch Port Protection Port Bonding Port Mirroring Quality of Service IDS vs. IPS Proxy Servers Load Balancing Device Placement Scenarios Section 13: IPv6 Introduction to IPv6 IPv6 Addressing IPv6 in Action IPv4 and IPv6 Tunneling Section 14: Remote Connectivity Telephony Technologies Optical Carriers Packet Switching Connecting with Dial-up Digital Subscriber Line (DSL) Connecting with Cable Modems Connecting with Satellites ISDN and BPL Remote Desktop Connectivity Advanced Remote Control Systems Section 15: Wireless Networking Introduction to 802.11 802.11 Standards Power over Ethernet (PoE) Antennas Wireless Security Standards Implementing Wireless Security Threats to Your Wireless Network Retro Threats Wi-Fi Protected Setup (WPS) Enterprise Wireless Installing a Wireless Network Wireless Scenarios More Wireless Scenarios Section 16: Virtualization and Cloud Computing Virtualization Basics Cloud Ownership Cloud Implementation Your First Virtual Machine NAS and SAN Platform as a Service (PaaS) Software as a Service (SaaS) Infrastructure as a Service (IaaS) Section 17: Mobile Networking Cellular Technologies Mobile Connectivity Deploying Mobile Devices Mobile Access Control Section 18: Building a Real-World Network Network Types Network Design Power Management Unified Communications Network Documentation Contingency Planning Predicting Hardware Failure Backups Section 19: Managing Risk What is Risk Management? Security Policies Change Management1 User Training Standard Business Documentation Mitigating Network Threats High Availability Section 20: Protecting Your Network Denial of Service Malware Social Engineering Access Control Man-in-the-Middle Introduction to Firewalls Firewalls DMZ Hardening Devices Physical Security Controls Testing Network Security Network Protection Scenarios Section 21: Network Monitoring SNMP Documenting Logs System Monitoring SIEM (Security Information and Event Management) Section 22: Network Troubleshooting Network Troubleshooting Theory Assessment Process Once you have completed all the modules in the CompTIA Network+ Certification (N10-007) course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. Show off Your New Skills with a Certificate of Completion The learners have to complete the assessment of this course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This CompTIA Network+ Certification (N10-007) Course Right for You? Anyone interested in learning more about this subject should take this course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. All are welcome to take this course. There are no prerequisites for enrolment, and you can access the course materials from any location in the world. Requirements The CompTIA Network+ Certification (N10-007) program does not require any prior knowledge; everyone may participate! This course is open to anyone interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your speed and grow a quality skillset. Career path After completing this CompTIA Network+ Certification (N10-007) Course, you are to start your career or begin the next phase of your career in this field. Our entire course will help you to gain a position of respect and dignity over your competitors. The certificate enhances your CV and helps you find work in the field concerned.