6169 Computing courses

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Course Overview Julia is one of the highest performing programming languages. The Tutorials - The Julia Programming Language course is designed to train you in this valuable programing language. In this course, you will get equipped with the skills to code in Julia and add available skill sets to your resume. The Tutorials - The Julia Programming Language course will introduce you to the basic principles of Julia programming language. In this course, you will learn the steps to install Julia. You will get introduced to Julia variables, integers, sign function and more. The course will provide you with lectures based on Cher types and strings. You will start to understand all the functions of this programming language. The course will give you an extensive understanding of Julia Dict and type. By the end of the course, you will pick up all the valuable information and skills to use this language. Learn the ins and outs of Julia programming language from the Tutorials - The Julia Programming Language course. This course will increase your abilities and boost your employability in the relevant industry. Learning Outcomes Understand the process of installing Julia Familiarize yourself with Julia variables and functions Enrich your understanding of Cher types and strings Learn the details of conditional and non-conditional blocks Grasp the skills essential for Juila Dict operations Who is this course for? This Tutorials - The Julia Programming Language course is suitable for programmers, data scientists, or individuals who want to learn a new programming language. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The Tutorials - The Julia Programming Language course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Programmer Data Scientist Introduction Learning Julia 00:01:00 Installing Julia 00:06:00 Installing Juno 00:04:00 Begin Dancing with Julia Julia Variables 00:05:00 Julia Integers and Floats 00:05:00 Julia Convert and Comparisons 00:03:00 Rounding Operations 00:05:00 Division Function 00:04:00 Sign Function and Power 00:05:00 Complex and Rational Numbers 00:05:00 Julia Chars and Strings Julia Char type 00:03:00 String Literals 00:02:00 Extract Char and String 00:02:00 Concatenate and Interpolate 00:03:00 isEqual and Comparisons 00:04:00 Find and OccursIn 00:05:00 Repeat and Regex 00:04:00 Julia Functions Julia Function Object 00:04:00 Function Return Type 00:06:00 Functions as Objects and Arguments 00:04:00 Operators as Functions 00:02:00 Anonymous Function 00:04:00 Function Arguments Tuples 00:05:00 Unpacking Tuples 00:02:00 Varargs 00:03:00 Optional Arguments 00:03:00 Keyword Arguments 00:03:00 Conditional and Non-Conditional Blocks Do Block 00:04:00 Compound Expression 00:02:00 If Statements 00:05:00 If Statement Return Value 00:02:00 Short Circuit Evaluation 00:03:00 Loops and Exceptions For Loop 00:02:00 Control and Nest For Loops 00:03:00 Exceptions 00:03:00 Julia Try and Catch 00:03:00 While Loop 00:02:00 Variable Scope 00:05:00 Arrays in Julia Arrays 00:04:00 Pop and Push 00:03:00 Multidimensional Arrays 00:03:00 Copying Arrays 00:02:00 Julia Dicts Dicts 00:02:00 Dict Operations 00:02:00 More Dict Operations 00:04:00 More Cool Dict Operations 00:03:00 One More Cool Dict Operation 00:04:00 Broadcasting 00:04:00 Julia Types Julia Types 00:01:00 Verify and Specify Types 00:03:00 More Verification and Specification 00:05:00 Julia Methods 00:02:00 Composite Types 00:05:00 Mutable Structs 00:02:00 Constructor Functions 00:04:00 Modules and Packages Julia Modules 00:02:00 Using Packages 00:04:00 User Defined Modules 00:05:00 Working with Text Files Reading Text Files 00:04:00 Writing To Text Files 00:03:00 Writing Collections To Files 00:02:00 Julia Date and Time Date And Time 00:03:00 Date Queries 00:02:00 Date Arithmetic 00:03:00 Meta Programming in Julia Meta Programming 00:02:00 Quoted Expression 00:04:00 Macros 00:02:00 REST APIs and MySQL Using Genie 00:04:00 Payloads and POST Requests 00:05:00 Julia and MySQL 00:08:00 DataFrames and Plots DataFrames 00:05:00 Plotting with Plots 00:02:00 Where to go from here 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Who would find this course useful? This course excellent for beginners who would like to enter the programmer world via C#. Or for individuals have a particular need for C# Level: A good start for beginners through to intermediate with OOP. Practical confidence will be achieved with a very practical approach to the training. This is normally online, but onsite and classroom courses are also available on request

Duration 3 Days 18 CPD hours This course is intended for Application ConsultantChange ManagerProgram/Project ManagerSolution ArchitectTechnology Consultant This course will prepare you to understand the Big Picture of Test Management with SAP Solution Manager Test Suite, setup up the Test Environment, use the SAP Solution Manager Test Suite, use advanced functions for Business Process Change Analysis, test Automation, and Scope and Effort Analysis. This course will prepare you to understand the Big Picture of Test Management with SAP Solution Manager Test Suite, setup up the Test Environment, use the SAP Solution Manager Test Suite, use advanced functions for Business Process Change Analysis, test Automation, and Scope and Effort Analysis.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for broadcast engineers. It might also be of interest to technical solution architects, network engineers, and network administrators. Overview After taking this course, you should be able to: Describe the overall solution and how it works, and identify all components of the solution and their functions Understand initial sizing and capacity Understand the basic requirements for IPFM Understand how Non-Blocking Multicast (NBM) and multicast function in the IPFM Understand and verify Precision Time Protocol (PTP) clocking Describe the DCNM Media Controller Demonstrate the DCNM Media Controller configuration and verification Explain how to deploy an IPFM solution in a high-availability manner Use the DCNM Media Controller to monitor fabric and to troubleshoot basic connectivity and performance issues Understand the approach and basic steps involved in responding to alarms and other notifications The Operating Cisco IP Fabric for Media Solution(IPFMSN) v2.0 course introduces you to the Cisco© IP Fabric for Media (IPFM) solution. The course is designed for broadcast engineers who will use IP technologies to replace Serial Digital Interface (SDI)-based deployments. You will learn about Cisco IPFM deployment, operation, and troubleshooting.The course also covers the Data Center Network Manager (DCNM) Media Controller, a core component of the Cisco IPFM solution. Through lab exercises that focus on building IP fabric as a baseline for a complete IPFM solution, you will learn how to deploy and troubleshoot the DCNM Media Controller to control flows through the fabric. Course Outline Introducing Cisco IP Fabric for Media Media over IP Standardization Designing Cisco IPFM Solution Building Cisco IP Fabric for Media Exploring Non-Blocking Multicast in Cisco IPFM Describing Cisco DCNM Introducing Cisco DCNM PowerOn Auto Provisioning (POAP) Process Implementing Cisco DCNM Flow and Host Policies Precision Time Protocol Cisco IPFM Operations, Administration, and Management Cisco IPFM High Availability Monitoring and Troubleshooting Cisco IPFM Operation

Duration 3 Days 18 CPD hours This course is intended for Security architects Design engineers Network engineers Cisco integrators and partners Overview After taking this course, you should be able to: Describe Cisco Identity-Based Networking Services (IBNS) for providing access control to corporate networks. Describe Extensible Authentication Protocol (EAP) authentication types and methods, and the role of Remote Authentication Dial-In User Service (RADIUS) in EAP communications. Describe how to configure Cisco Catalyst switches, Cisco Wireless LAN Controllers (WLCs), and Cisco ISE for 802.1X operation. Describe how to configure access for non-supplicant devices in an 802.1X deployment. Describe how to plan and deploy Cisco IBNS Networks with Cisco ISE and 802.1X. The Introduction to 802.1X Operations for Cisco Security Professionals (802.1X) v1.0 shows you how to configure and prepare to deploy Cisco© Identity-Based Networking Services (IBNS) solutions based on Cisco Identity Services Engine (ISE), Cisco Catalyst switches, and Cisco Wireless LAN Controllers. You will learn the fundamentals of the 802.1X protocol and configuration, Cisco IBNS, configuring access for non-supplicant devices, Cisco ISE deployment options, architectural components, considerations with 802.1X, and more. You will also gain hands-on experience configuring 802.1X?based network services using the Cisco Identity Services Engine and a Cisco Catalyst switch. Describing Cisco Identity-Based Networking Services Cisco IBNS Overview Authentication, Authorization, and Accounting (AAA) Role in Cisco IBNS Compare Cisco IBNS and Cisco ISE Solutions Explore Cisco IBNS Architecture Components Explore Cisco TrustSec Describing 802.1X EAP Authentication Explore the IEEE 802.1X Standard Explore 802.1X and EAP Explain EAP Methods Describe the Role of RADIUS in EAP Communications Configuring Devices for 802.1X Operation Identify 802.1X Components and Topologies Configure Cisco Catalyst Switch for 802.1X Compare IBNS 1.0 and 2.0 on Cisco Catalyst Switch Configure Cisco WLC for 802.1X Configure Cisco ISE for 802.1X Configure Supplicants for 802.1X Operation Configuring Access for Non-Supplicant Devices Configure Cisco IBNS for Non-Supplicant Devices Explore IBNS 2.0 for Non-Supplicant Devices Configure Cisco Central Web Authentication for Guests Designing Cisco IBNS Networks with Cisco ISE and 802.1X Cisco ISE Architectural Components Introducing the Cisco ISE Bring Your Own Device (BYOD) Process Identify Cisco ISE Deployment Options Identify Component Compatibilities with 802.1X Review 802.1X Design Considerations

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows: System engineers Network engineers Technical architects Technical support engineers Cisco integrators and partners Overview Upon successful completion of this course, students will be able to meet these overall objectives: Describe Cisco ISE policies and authentication and authorization process Understand different AAA protocols Understand how Cisco ISE fits into Cisco DNA Center architecture Provide configuration examples of Cisco ISE and TrustSec solutions Describe Cisco ISE integration with Cisco DNA Center and policy enforcement using Security Groups Provide configuration examples for wired, wireless, and VPN network access Understand how inline tagging and SGT Exchange Protocol (SXP) works This course shows you how to deploy the Cisco© Identity Services Engine (ISE) to support the Software-Defined Access (SD-Access) solution within your enterprise networks. You will gain an understanding of how Cisco ISE is utilized by the SD-Access solution to provide security policies across the organization. You will learn Cisco ISE fundamentals and get hands-on practice configuring ISE, policies, AAA client configuration, VPN access, integration, wireless guest access, and more. Cisco ISE Overview Exploring the Cisco Identity Services Engine Examining AAA protocols Examining Authentication Examining Authorization Cisco ISE Guest Access Examining Guest Portal Types Examining Guest User Types Examining AAA Policies for Guest Access Cisco ISE and SD-Access Exploring Cisco SD-Access Examining Cisco ISE for SD-Access Cisco ISE SGT Exchange Protocol SD-Access Fabric and Host Provisioning Security Group Exchange Protocol Additional course details: Nexus Humans Cisco Configuring Cisco ISE Essentials for SD- Access v1.0 (ISESDA) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Configuring Cisco ISE Essentials for SD- Access v1.0 (ISESDA) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Project team members & consultants In this course, participants will become familiar with the functions of transportation and shipment cost processing, and with the required customizing settings. Course Outline Basics of transportation processing Transportation control Transportation planning and processing Transportation monitoring and evaluation Basics of shipment cost processing Shipment cost calculation Shipment cost settlement Shipping costs within the sales process Connecting express delivery companies

Duration 3 Days 18 CPD hours This course is intended for This course is targeted for Juniper Networks system engineers, partner sales engineers (including Champions), and services partners who are interested in learning network design introductory concepts. However, the course is also applicable to a general audience of Juniper customers with a desire to learn more about network design. Overview Provide an overview of network design needs and common business requirements.Describe key product groups related to campus, WAN, data center, and security architectures.Analyze and interpret common RFP requirements.Scope a network design by gathering data and working with key stakeholders.Describe ways of processing customer data and design requests.Identify boundaries and scope for the design proposal.List some considerations when creating a design proposal.Provide an overview of network security design principles and common vulnerabilities.List high-level design considerations and best practices for securing the network.List the components of the campus network design.Describe best practices and design considerations for the campus.Describe architectural design options for the campus.List the components of the WAN.Describe best practices and design considerations for the WAN.Describe design options for the WAN.List the components of the data center design.Describe best practices and design considerations for the data center.Describe architectural design options for the data center.Define business continuity and its importance in a network design.Describe high availability design considerations and best practices.Provide an overview of high availability offerings and solutions.Describe Class of Service design considerations.Provide an overview of environmental considerations in network design.List design considerations and best practices for managing the network.Provide an overview of Juniper Networks and third party options for network management.List design considerations and best practices for network automation.Provide an overview of automation tools.Explain the foundational topics that have been taught throughout the course.Create a network design proposal that satisfies customer requirements and business needs.Provide an overview of the steps involved in migrating a network.Describe best practices used in network migration.List the various campus network topographies.Describe sample design options for the campus. This three-day course is designed to cover best practices, theory, and design principles for overall network design and will serve as the prerequisite course for other design subject areas ƒ?? data center, security, and WAN. Course IntroductionNetwork Design Fundamentals A Need for Design Knowledge is King A Proposed Design Methodology A Reference Network Understanding Customer Requirements RFP Requirements Scoping the Design Project Analyzing the Data Lab: Understanding Customer Requirements Organizing the Data Processing the Data and Requests Understanding Boundaries and Scope Design Proposal Considerations Securing the Network Why Secure the Network? Security Design Considerations Creating the Design Campus The Campus Network: An Overview Best Practices and Considerations Architectural Design Options Lab: Creating the Design Campus Creating the Design Wide Area Network The WAN: An Overview Best Practices and Considerations WAN Design Examples Lab: Creating the Design WAN Creating the Design Data Center The Data Center: An Overview Best Practices and Considerations Data Center Design Examples Lab: Creating the Design Data Center Business Continuity & Network Enhancements Business Continuity Planning High Availability Design Considerations and Best Practices Offerings and Solutions CoS and Traffic Engineering Considerations Environmental Design Network Management Designing for Network Management Automation Designing for Network Automation Lab: Enhancing the Design Putting Network Design Into Practice Network Design Recap Responding to the RFP Final Lab Introduction Lab: Putting Network Design into Practice

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice