36192 BA courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for Authors Overview Please refer to course overview This course teaches experienced authors advanced report building techniques to enhance, customize, manage, and distribute reports. Additionally, the student will learn how to create highly interactive and engaging reports that can be run offline by creating Active Reports. Create query models Build a query and connect it to a report Answer a business question by referencing data in a separate query Create reports based on query relationships Create join relationships between queries Combine data containers based on relationships from different queries Create a report comparing the percentage of change Introduction to dimensional reporting concepts Examine data sources and model types Describe the dimensional approach to queries Apply report authoring styles Introduction to dimensional data in reports Use members to create reports Identify sets and tuples in reports Use query calculations and set definitions Dimensional report context Examine dimensional report members Examine dimensional report measures Use the default measure to create a summarized column in a report Focus your dimensional data Focus your report by excluding members of a defined set Compare the use of the filter() function to a detail filter Filter dimensional data using slicers Calculations and dimensional functions Examine dimensional functions Show totals and exclude members Create a percent of base calculation Create advanced dynamic reports Use query macros Control report output using a query macro Create a dynamic growth report Create a report that displays summary data before detailed data and uses singletons to summarize information Design effective prompts Create a prompt that allows users to select conditional formatting values Create a prompt that provides users a choice between different filters Create a prompt to let users choose a column sort order Create a prompt to let users select a display type Examine the report specification Examine report specification flow Identify considerations when modifying report specifications Customize reporting objects Distribute reports Burst a report to email recipients by using a data item Burst a list report to the IBM Cognos Analytics portal by using a burst table Burst a crosstab report to the IBM Cognos Analytics portal by using a burst table and a master detail relationship Enhance user interaction with HTML Create interactive reports using HTML Include additional information with tooltips Send emails using links in a report Introduction to IBM Cognos Active Reports Examine Active Report controls and variables Create a simple Active Report using Static and Data-driven controls Change filtering and selection behavior in a report Create interaction between multiple controls and variables Active Report charts and decks Create an Active Report with a Deck Create an Active Report with 11.0 visualizations

Duration 5 Days 30 CPD hours This course is intended for Professionals who need to maintain or set up a Kubernetes cluster Container Orchestration Engineers DevOps Professionals Overview Cluster architecture, installation, and configuration Rolling out and rolling back applications in production Scaling clusters and applications to best use How to create robust, self-healing deployments Networking configuration on cluster nodes, services, and CoreDNS Persistent and intelligent storage for applications Troubleshooting cluster, application, and user errors Vendor-agnostic cloud provider-based Kubernetes Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on, vendor agnostic training you will go back to work with the knowledge, skills, and abilities to design, implement, and maintain a production-grade Kubernetes cluster. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Administrator (CKA) exam. You will be provided the components necessary to assemble your own high availability Kubernetes environment and configure, expand, and control it to meet the demands made of cluster administrators. Your week of intensive, hands-on training will conclude with a mock CKA exam that simulates the real exam. Cluster Architecture, Installation & Configuration Each student will be given an environment that allows them to build a Kubernetes cluster from scratch. After a detailed discussion on key architectural components and primitives, students will install and compare two production grade Kubernetes clusters. Review: Kubernetes Fundamentals After successfully instantiating their own Kubernetes Cluster, students will be guided through foundational concepts of deploying and managing applications in a production environment. Workloads & Scheduling After establishing a solid Kubernetes command line foundation, students will be led through discussion and hands-on labs which focus on effectively creating applications that are easy to configure, simple to manage, quick to scale, and able to heal themselves. Services & Networking Thoroughly understanding the underlying physical and network infrastructure of a Kubernetes cluster is an essential skill for a Certified Kubernetes Administrator. After an in-depth discussion of the Kubernetes Networking Model, students explore the networking of their cluster?s Control Plane, Workers, Pods, and Services. Storage Certified Kubernetes Administrators are often in charge of designing and implementing the storage architecture for their clusters. After discussing many common cluster storage solutions and how to best use each, students practice incorporating stateful storage into their applications. Troubleshooting A Certified Kubernetes Administrator is expected to be an effective troubleshooter for their cluster. The lecture covers a variety of ways to evaluate and optimize available log information for efficient troubleshooting, and the labs have students practice diagnosing and resolving several typical issues within their Kubernetes Cluster. Certified Kubernetes Administrator Practice Exam Just like the Cloud Native Computing Foundation CKA Exam, the students will be given two hours to complete hands-on tasks in their own Kubernetes environment. Unlike the certification exam, students taking the Alta3 CKA Practice Exam will have scoring and documented answers available immediately after the exam is complete, and will have built-in class time to re-examine topics that they wish to discuss in greater depth.

Duration 2 Days 12 CPD hours This course is intended for Experienced system administrators and consultants, application owners, and system architects Overview By the end of the course, you should be able to meet the following objectives: Use the applications to group objects Create the logical groups of objects in the vRealize Operations environment Create and design advanced dashboards Discuss about widget and its settings Define a vRealize Operations policy Outline the components of a vRealize Operations policy Create the custom alerts Describe the troubleshooting workbench Review the advanced capacity concepts Discuss the what-if analysis scenarios Describe how to integrate vRealize Operations with VMware vRealize© Suite products Import the VMware vRealize© Network Insight? applications Describe the super metrics use cases Outline the vRealize Operations REST API architecture Discuss the vRealize Operations traversal spec Create and query objects using the REST API This two-day hands-on training course provides advanced knowledge, skills, and tools to achieve competency in operating VMware vRealize© Operations? 8.X. This course explains the design and creation of advanced dashboards, capacity concepts, and the REST API with real-world use cases. Course Introduction Introduction and course logistics Course objectives Custom Groups and Applications Outline the use cases for custom groups Create the custom groups Assign the objects to custom groups Identify the use cases for applications Create the custom applications Identify the vRealize Network Insight applications Custom Dashboard Design Design the dashboards Discuss the types of widgets and widget?s settings Select the widgets based on the scenario Explain the advanced dashboards Discuss the use cases of dashboards Custom Policies Outline the components of a vRealize Operations policy Review the policies applied to the objects in vRealize Operations Outline how the policy hierarchy is implemented Design a vRealize Operations Policy Understand how a policy supports the business objectives Alerts, Symptoms and Troubleshooting workbench Identify the use case for custom alerts and symptoms Create the custom alerts and symptoms Access the troubleshooting workbench feature Use the troubleshooting workbench feature to identify problems Outline the metric correlation options in vRealize Operations Capacity Models and What-if Scenarios Review the capacity planning concepts Describe the demand based and allocation-based model Discuss the use cases of capacity models Discuss the use cases of what-if analysis scenarios vRealize Operations integration Integrate vRealize Operations with products in vRealize Suite Identify the advantages of integrating vRealize Operations with vRealize Log Insight Import the vRealize Network Insight applications Configure the integration with vRealize Automation Super Metrics Create super metrics Explain the depth value Discuss the use cases of super metrics vRealize Operations REST API Outline the REST API architecture Navigate the REST API landing page Discuss the Swagger response codes Explain the vRealize Operations traversal specification Create and query objects using the REST API Discuss some of the examples of the REST API

Duration 5 Days 30 CPD hours This course is intended for Linux Professional Institute Certification (LPIC-2) 202 training is suitable for individuals with roles of: System administrator Network administrator Technician DevOps Overview Upon successful completion of this course, students will be able to: configure BIND to function as an authoritative and as a recursive, caching-only DNS server install and configure a web server install and configure a proxy server, including access policies, authentication and resource usage set up a Samba server for various clients configure a DHCP server configure PAM to support authentication using various available methods perform queries and updates to an LDAP server configure a basic OpenLDAP server including knowledge of LDIF format and essential access controls manage an e-mail server, including the configuration of e-mail aliases, e-mail quotas and virtual e-mail domains configure an FTP server for anonymous downloads and uploads receive security alerts from various sources, install, configure and run intrusion detection systems and apply security patches and bugfixes configure a VPN (Virtual Private Network) and create secure point-to-point or site-to-site connections. This course prepares students to take the 202 exam of the LPI level 2 certification. To gain LPIC-2 certification, an individual should have an active LPIC-1 certification. Domain Name Server Basic DNS server configuration Create and maintain DNS zones Securing a DNS server HTTP Services Basic Apache configuration Apache configuration for HTTPS Implementing Squid as a caching proxy Implementing Nginx as a web server and a reverse proxy File Sharing Samba Server Configuration NFS Server Configuration Network Client Management DHCP configuration PAM authentication LDAP client usage Configuring an OpenLDAP server E-Mail Services Using e-mail servers Managing E-Mail Delivery Managing Mailbox Access System Security Configuring a router Managing FTP servers Secure shell (SSH) Security tasks OpenVPN Additional course details: Nexus Humans Linux Professional Institute Certification (LPIC-2) 202 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 Linux Professional Institute Certification (LPIC-2) 202 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 1 Days 6 CPD hours This course is intended for This course is intended for business users and knowledge workers in a variety of roles and fields who have competence in a desktop-based installation of the Microsoft Office 2010, 2013, or 2016 edition of the Microsoft Office productivity suite, and who are now extending Microsoft Office to a collaborative cloud-based Office 365 environment. Overview In this course, you will build upon your knowledge of the Microsoft Office desktop application suite to work productively in the cloud-based Microsoft Office 365 environment. You will: Sign in, navigate, and identify components of the Office 365 environment. Create, edit, and share documents with team members using the Office Online apps, SharePoint, OneDrive for Business, and Delve. Collaborate and work with colleagues using the Yammer and Planner apps. Use email and manage contacts with Outlook on the web. Collaborate using Teams. Configure Teams. This course introduces working with shared documents in the familiar Office 365 online apps?Word, PowerPoint©, and Excel©?as an alternative to installing the Microsoft© Office desktop applications. This course also introduces several productivity apps including Yammer?, Planner, and Delve© that can be used in combination by teams for communication and collaboration. Getting Started with Office 365 Topic A: Sign In to Office 365 Topic B: Navigate the Office 365 Environment Collaborating with Shared Files Topic A: Work with Shared Documents in SharePoint Topic B: Edit Documents in Office Online Topic C: Collaborate on the SharePoint Site Topic D: Work with OneDrive for Business Topic E: Find Shared Resources Using Productivity Apps Topic A: Work with Productivity Apps in Combination Topic B: Broadcast Messages with Yammer Using Outlook on the Web Topic A: Send and Receive Email Topic B: Manage Contacts Topic C: Schedule Appointments Topic D: Personalize Outlook on the Web Collaborating with Teams Topic A: Overview of Microsoft Teams Topic B: Converse and Share in Teams Topic C: Call and Meet in Teams Topic D: Collaborate with Microsoft 365 Apps and Teams Configuring Teams Topic A: Configure Teams Topic B: Configure Channels Topic C: Configure Tabs Additional course details: Nexus Humans Microsoft 365 Office for the Web (with Teams) 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 Microsoft 365 Office for the Web (with Teams) 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 4 Days 24 CPD hours This course is intended for Data center architects Cloud infrastructure architects Network engineers System administrators Storage administrators Engineers requiring advanced configuration skills Cisco integrators and partners Overview After taking this course, you should understand: Data center challenges and cloud solutions Cisco UCS Director architecture Cisco UCS Director setup and configuration Cisco ACI Multitenancy in FlexPod Cisco ACI infrastructure Resource groups and service offerings Tenant onboarding Self-service provisioning Application containers The Designing and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 course shows you how to use Cisco UCS© Director software to manage physical and virtual infrastructure elements, including Cisco Application Centric Infrastructure (Cisco ACI?). You will learn to use orchestration and automation functions of Cisco UCS Director to effectively manage infrastructure and automate IT processes. The course offers hands-on experience installing and configuring Cisco UCS Director software. You will also learn about features such as bare-metal provisioning; compute, network, and storage management; orchestration, including Application Policy Infrastructure Controller (APIC); Cisco UCS Director custom tasks, and more. Introducing Cisco UCS Director Understanding Data Center Challenges Understanding the Benefits of Cisco UCS Director Understanding Cisco UCS Director Components Explaining Cisco UCS Director Architecture Explaining Bare-Metal Agent Introducing Cisco Application Centric Infrastructure Understanding Cisco ACI Overview Understanding Cisco ACI Terms and Constructs Understanding Cisco UCS Director Infrastructure Management Understanding Cisco UCS Director Deployment Introducing Role-Based Access Control Explaining User Groups/Roles/Users Introducing Orchestration Understanding Orchestration Introducing Cisco UCS Director ACI Explaining Cisco UCS Director with ACI So Understanding Multitenancy with Cisco UCS Director ACI Explaining Multitenancy with Cisco UCS Director ACI Understanding Resource Groups and Service Offerings Introducing Advanced Tenant Onboarding Onboarding a Tenant Tagging Resources Introducing Application Containers Understanding Application Profiles Understanding Service Container Catalog Understanding Deployment Through Self-Service Portal Understanding Self-Service Provisioning Portal Understanding Service Request Understanding Virtual Data Center Understanding Policies Understanding vDC and Groups Use Case Additional course details: Nexus Humans CiscoDesigning and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 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 CiscoDesigning and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 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 5 Days 30 CPD hours This course is intended for This advanced course is appropriate for System Administrators, Technical Support Personnel, and Business Partners responsible for implementing LPARs on IBM Power Systems with AIX servers. Overview Discuss the advantages or value of PowerVM edition's featuresDefine micro-partitioning and shared processor LPARsDiscuss the benefits of simultaneous multithreadingDiscuss and configure the Integrated Virtual Ethernet (IVE)Install and configure the Virtual I/O ServerConfigure virtual network devices, such as virtual Ethernet and shared Ethernet adaptersConfigure virtual SCSI and virtual Fibre Channel storage adaptersConfigure virtual SCSI target devices on a virtual SCSI adapterDefine file-backed storage pools and file-backed virtual optical devicesIdentify single points of failure in virtualized environmentsConfigure multiple VIO servers for high availabilityConfigure advanced virtual networking optionsConfigure the shared Ethernet adapter failover featureConfigure advanced virtual SCSI optionsConfigure MPIO in a VIO server's client partitionManage the service events, configure call home, add, exchange FRUs, and discuss FSP failoverPerform PowerVM (VIOS) Maintenance This course explains the new features and benefits of virtualization including processor virtualization, Virtual I/O Server, and virtual devices, such as virtual Ethernet, virtual SCSI, and virtual Fibre Channel adapters. Course Outline Unit 1: Introduction to partitioning Exercise 1: Power Systems documentation overview Unit 2: HMC V8 enhancements Exercise 2: HMC enhanced interface Unit 3: Processor virtualization Exercise 3: Processor virtualization configuration Unit 4: Virtual Ethernet Exercise 4: Virtual Ethernet adapter configuration Unit 5: Virtual I/O Server and Shared Ethernet Adapter Exercise 5: Virtual I/O Server configuration Unit 6: Virtual SCSI devices Exercise 6: Client partition configuration Unit 7: Virtual network configuration with dual VIOS Exercise 7: SEA failover setup Unit 8: Virtual SCSI configurations with dual VIOS Exercise 8: Dual VIO server configuration with MPIO in the client partition Unit 9: Virtual Fibre Channel devices Exercise 9: Virtual Fibre Channel adapter configuration Unit 10: HMC Service Management Exercise 10: Manage service events Unit 11: PowerVM advanced systems maintenance Exercise 11: PowerVM system maintenance Exercise 12: (Optional) File-backed virtual SCSI devices Additional course details: Nexus Humans AN30 IBM Power Systems for AIX - Virtualization I - Implementing Virtualization 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 AN30 IBM Power Systems for AIX - Virtualization I - Implementing Virtualization 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 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 2.75 Days 16.5 CPD hours This course is intended for Complete beginners who have never programmed before to experienced developers coming from another programming language. Overview You will learn how to leverage the power of Python to solve tasks. You will build games and programs that use Python libraries. You will be able to use Python for your own work problems or personal projects. You will create a portfolio of Python based projects you can share. Learn to use Python professionally, learning both Python 2 and Python 3! Create games with Python, like Tic Tac Toe and Blackjack! Learn advanced Python features, like the collections module and how to work with timestamps! Learn to use Object Oriented Programming with classes! Understand complex topics, like decorators. Understand how to use both the Jupyter Notebook and create .py files Get an understanding of how to create GUIs in the Jupyter Notebook system! Build a complete understanding of Python from the ground up! Our Introduction to Python course is designed to take complete beginners or experienced developers up to speed on Python?s capabilities, setting up students for success in using Python for their specific field of expertise. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, scraping websites for information, working with image files, and much more! This course will teach you Python in a practical manner and provides a full coding screencast and a corresponding code notebook to review the concepts and exercises conducted in class. Please note, this course is able to be offered in either 3 full day sessions or 5 partial day sessions. See the schedule below. This course includes 6-months access to the full course content in on-demand format to support post-class reference and review. Command Line Basics Python System Setup Jupyter Notebooks Python Data Types Key Data Structures Logic and Control Flow Functions Debugging Modules Object Oriented Programming File I/O Testing Decorators Generators Automation of Tasks Web Scraping Graphical User Interfaces Additional course details: Nexus Humans Introduction to Python 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 Introduction to Python 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.