2013 Courses delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS 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 The Machine Learning Pipeline on AWS 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 designed for individuals who may need to present information effectively in a professional environment. Overview Define what makes a presentation effective. Plan presentations. Design a presentation framework. Develop the presentation body. Create supporting materials. Prepare for your presentation. Deliver presentations. Conduct a question-and-answer session. Deliver group presentations and virtual presentations. The ability to deliver presentations is vital to achieving advancement for yourself and for your ideas. Few skills in life will contribute to your success as much as presentation skills. Without a dynamic and coherent presentation, even stellar ideas can fail to convince your audience. In this course, you will learn to organize your ideas to create coherent and convincing oral presentations, while also utilizing available visual aids and using public-speaking techniques to strengthen your delivery. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. Prerequisites To ensure your success, you will need to have experience writing in a professional context and creating presentations using Microsoft Office PowerPoint. 1. Defining Presentation Effectiveness Identify Qualities of Effective Presentations Evaluate Yourself as a Presenter 2. Planning Presentations Analyze the Audience Establish Your Presentation\'s Objectives 3. Designing the Presentation Create the Presentation Structure Organize the Presentation Body Write the Conclusion First Write the Introduction 4. Developing the Presentation Body Select Evidence Write the Presentation Body Create Visuals 5. Creating Supporting Materials Create a Slide Deck Create Speaker Aids Create Audience Handouts 6. Preparing for Your Presentation Rehearse the Presentation Plan Event Logistics 7. Delivering Presentations Connect with Your Audience Present Powerfully Utilize a Slide Deck Effectively 8. Conducting a Question-and-Answer Session Answer Questions Handle Challenging Questions 9. Presenting in Common Business Scenarios Plan and Deliver a Virtual Presentation Plan and Deliver Group Presentations 10. Key Course Information This course focuses on the skills necessary to prepare and deliver an effective presentation; that being said, the learner will not be creating, delivering, or designing a specific presentation from start to finish in this course (this course only provides the foundational knowledge for doing this work back at the office). This course consists of instructor lecture along with course activities corresponding with the main course objectives. In terms of the course activities, 50% will be discussion based - 25% will be in a group-work format - and 25% will be hands-on/involve a digital tool, such as a PowerPoint or Word file. The intent is for students leaving this course to take the skills learned and apply them to their efforts of creating more effective presentations upon returning to the workplace. Additional course details: Nexus Humans Effective Presentations (Second Edition) 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 Effective Presentations (Second Edition) 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 This intermediate course is for application programmers who need to write embedded SQL COBOL or PL/I programs in either a DB2 9 or DB2 10 for z/OS environment. Overview Incorporate static SQL statements in an application program Prepare the program for execution Validate execution results are correct Produce code to support multiple rows being returned from the database manager using cursors Identify considerations regarding units of work, concurrency, and restart of programs Identify differences between static and dynamic SQL Provide test data for applications Discuss program and DB2 options relative to performance of static SQL This course enables you to acquire the skills necessary to produce application programs that manipulate DB2 databases. Emphasis is on embedding Structured Query Language (SQL) statements and preparing programs for execution. CV720G;CF82G;DB2 Concepts Identify DB2 family products Explain DB2 workstation component functions Identify DB2 objects Identify the key differences between static SQL and other application alternatives for accessing DB2 data Program Structure I Embed INSERT, UPDATE, DELETE and single-row SELECT statements in application programs Effectively communicate with DB2 when processing NULL values and determining success of statement execution Demonstrate use of DB2 coding aids Code CONNECT statements within an application program Identify connection types and impacts on a unit of work Program for the Call Attach Facility (CAF) Program Preparation Identify the additional steps necessary to prepare a program that contains embedded SQL for execution Describe the functions of the DB2 PRECOMPILE and BIND processes Describe factors relevant to the BIND process, including RUNSTATS positioning, package status, parameters, and authorization requirements Program Structure II Use DECLARE, OPEN, FETCH, and CLOSE CURSOR statements to handle select criteria that may return multiple rows in application programs Issue positioned UPDATE and DELETE statements Identify how scrollable cursors can be used Recovery and Locking Concepts Define a unit of recovery Identify the basic locking strategies used by DB2 Dynamic SQL Introduction Describe the difference between static and dynamic SQL List the types of dynamic statements Code dynamic SQL in a program Managing Test Data Identify methods to insert data into a table Use the LOAD or IMPORT utility Identify the purpose of the RUNSTATS utility Identify the purpose of the REORG utility Performance Considerations Use programming techniques that enhance DB2 application performance by following general guidelines, using indexable predicates, and avoiding unnecessary sorts Identify the access paths available to DB2 List common causes of deadlocks and avoid such causes when possible Use the EXPLAIN tools as aids to develop applications that emphasize performance Additional course details: Nexus Humans CV722 IBM DB2 11 for z/OS Application Programming Workshop 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 CV722 IBM DB2 11 for z/OS Application Programming Workshop 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.

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At some point in your life you will have attended a training course or workshop, but what happens when you are asked to deliver one? Some people relish the opportunity while others are challenged by it. Whatever you feel about training others, it is a skill that is admired and can be studied and learned. With the trainer you will be learning the techniques, skills and understanding you need and you will have the chance to deliver a short training session to others, receive feedback and having the confidence to deliver it for real in your job. The training will comprise one day followed by a half day when all those able to attend will deliver and have feedback on a 20 minute training activity. To be able to create and maintain an environment conducive to learning and engagement To understand basic learning theory and practice and the difference between training, facilitating and learning To understand how adults learn and how to apply it as a trainer To be able to plan and deliver a training activity using the appropriate set of skills and behaviours To be able to review and evaluate learning and identify how outcomes are met To manage the learning process and the participant engagement in the training environment To be able to present effectively and appropriately to a variety of audiences To deliver and receive feedback on a short delivered training activity with peers To review and evaluate learning and have an action plan to take back and put into practice DAY ONE (full-day) 1 Welcome, housekeeping, how the day will be run Introductions (and making the most of them) Warm up - breaking the ice followed by review and feedback Creating an environment conducive to learning and engagement; managing expectations well as a trainer Group task with feedback and review in plenary 2 What is training and how do adults learn? Trainer input: David Kolb's Learning Cycle Group tasks 3 How to plan a session and what to include - trainer input Starting at the end and working backwards Linking outcomes to purposeful activities Practice task and planning time for day two using a template 4 The skills and behaviours of a brilliant trainer Modelling skills and behaviours Creative task and discussion 5 Mini reviewing task De-brief - using reviewing in training 6 How to manage the process Trainer input followed by practice Paying conscious attention to language (verbal and non verbal), feelings and responses in the room and managing yourself as a trainer 7 The trainer's toolkit #1 Key tools, materials and templates Choosing different tools and approaches with different audiences Know your audience 8 The trainer's toolkit #2 Key tools, materials and templates continued Addressing trainer good practice 9 Review, evaluation and action planning activities Why and what should we be evaluating and why it's important Action planning task Group review task DAY TWO (half-day) The day will comprise a series of 30 minute timed sessions where each delegate will present and deliver a training activity with the group. The training activity will be prepared and planned in advance and will take 20 minutes (+ or - 2 minutes) to deliver in real time. This will be followed by review and feedback from the trainer and peers to complete the total of 30 minutes as a time slot. Reiteration of the task and discussion can take place with the trainer if needed, and there is time included in Day One to support the training planning.

This very practical workshop has a simple objective: to help you prepare, design and deliver memorable and high-quality presentations. This programme will help you: Use a proven, structured tool-kit when designing and developing presentations Benefit from short cuts and best practice when designing and using Powerpoint presentations Select the right information, examples, exercises and activities - and use them well Prepare and structure a presentation or session appropriate to the audience, and to best achieve your objectives Maintain audience or group interest Develop and practise presentation skills to improve your voice tone, speech power and body language Use practical methods to control nerves and anxiety - develop higher levels of confidence and credibility Command a room, hold attention and create a high impact 1 Introduction Personal objectives Key messages and learning objectives of the workshop 2 Presentation skills What does good look like? Exercise: Characteristics of high/low impact presentations Presenting yourself as a 'winner' The energy / attitude model Exercise: Being a winner 3 Preparation skills - eight steps to preparing a great presentation, plus Powerpoint tips •The magic circle• How to 'assume the role' when presenting• The eight steps• Step 1 - develop your objectives- The five questions that you must answer before preparing your presentation- Defining your objectives and outcomes- Creating a first draft- Step 1 exercise• Step 2 - analyse your audience- Doing your homework: audience, event, venue- Developing a pre-event check-list- Methods and means for researching your audience- Step 2 exercise• Steps 3 and 4 - structure the main body of your presentation and state the main ideas- Ways to structure your presentation for maximum impact- Balancing and managing content and topics- Organising your information: 6 options and methods- Your 'one main point' and creating a 30-second summary- Steps 3 and 4 exercises• Step 5 - decide on supporting information, using the toolkit- Making your case convincing: ways to support your claims- Selecting and using relevant and interesting examples- Quotes, case studies and printed material- Presenting statistics, tables and graphs- Ways of maintaining visual interest- Transitions and links, creating a 'golden thread'- Step 5 exercise: Creating compelling stories and anecdotes4• Step 6 - create an effective 'opening'- Claiming the stage and creating a good first impression- The three most powerful ways of opening a presentation- The five elements of a strong opening- Step 6 exercise: Participants work individually to prepare an opening, focusing onpersonal introduction, and then deliver to the group, with structured feedback• Step 7 - develop transitions- Step 7 exercise / examples• Step 8 - create an effective close- Signalling and sign-posting; the importance of, and how to do it effectively- Five ways to close a presentation successfully- Step 8 exercise / examples• Presentation design and Powerpoint- An interactive review of participants' own real-life past presentations and advanced tipsand techniques on using Powerpoint effectively 4 Facilitation skills The three main types of group activity - triads, teams and main group How to select the right activity, define the objectives, set it up and run the debrief Using energisers - with examples Exercise: Dealing with 'difficult' behaviours Exercise: Working in triads, design and deliver 5 Tips and tricks: presentation and facilitation 10 reasons why facilitation fails Five golden rules for success Defining the session goals and the facilitation plan Open and closed questions - why and when to use Using a 'car park' to manage unresolved issues Using AV aids - tips and tricks Exercises: Including participants working in pairs to prepare a short section form of one of their own presentations 6 Putting it all together Summary of key learning points Action plan

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators, system engineers, and system integrators Overview By the end of the course, you should be able to meet the following objectives: Configure and manage vSphere networking and storage for a large and sophisticated enterprise Use VMware vSphere Client™ to manage certificates Use Identity Federation to configure VMware vCenter Server to use external identity sources Use VMware vSphere Trust Authority™ to secure the infrastructure for encrypted VMs Use host profiles to manage VMware ESXi™ host compliance Create and manage a content library for deploying virtual machines Manage VM resource usage with resource pools Monitor and analyze key performance indicators for compute, storage, and networking resources for ESXi hosts Optimize the performance in the vSphere environment, including vCenter Server This five-day course teaches you advanced skills for configuring and maintaining a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you configure and optimize the VMware vSphere© 7 features that build a foundation for a truly scalable infrastructure, and you discuss when and where these features have the greatest effect. Attend this course to deepen your understanding of vSphere and learn how its advanced features and controls can benefit your organization. As an exclusive benefit, those who participate in this course will receive additional premium recorded lecture material on vSphere security. Course Introduction Introductions and course logistics Course objectives Network Scalability Configure and manage vSphere distributed switches Describe how VMware vSphere© Network I/O Control enhances performance Explain distributed switch features such as port mirroring and NetFlow Storage Scalability Explain why VMware vSphere© VMFS is a high-performance, scalable file system Explain VMware vSphere© Storage APIs - Array Integration, VMware vSphere© API for Storage Awareness?, and vSphere APIs for I/O filtering Configure and assign virtual machine storage policies Create VMware vSAN? storage policies Recognize components of the VMware vSphere© Virtual Volumes? architecture Configure VMware vSphere© Storage DRS? and VMware vSphere© Storage I/O Control Host and Management Scalability Use the vSphere Client to manage vSphere certificates Describe identity federation and recognize its use cases Configure identity federation to allow vCenter Server to use external identity provider Describe the benefits and use cases of vSphere Trust Authority Configure vSphere Trust Authority Use host profiles to manage ESXi configuration compliance Create a local content library and subscribe to a published content library Deploy VMs from a content library Create and manage resource pools in a cluster Describe how scalable shares work CPU Optimization Explain the CPU scheduler operation and other features that affect CPU performance Explain NUMA and vNUMA support Use esxtop to monitor key CPU performance metrics Memory Optimization Explain ballooning, memory compression, transparent page sharing, and host-swapping techniques for memory reclamation when memory is overcommitted Use esxtop to monitor key memory performance metrics Storage Optimization Describe storage queue types and other factors that affect storage performance Discuss vSphere support for NVMe and iSER technologies Use esxtop to monitor key storage performance metrics Network Optimization Explain performance features of network adapters Explain the performance features of vSphere networking Use esxtop to monitor key network performance metrics vCenter Server Performance Optimization Describe the factors that influence vCenter Server performance Use VMware vCenter© Server Appliance? tools to monitor resource use Supplemental Content Appendix A: vSphere Auto Deploy Explain the purpose of VMware vSphere© ESXi ? Image Builder CLI Explain the purpose of VMware vSphere© Auto Deploy? Describe how an autodeployed ESXi host boots Configure a vSphere Auto Deploy environment Appendix B: vSphere Security Configure ESXi Host Access and Authentication Recognize strategies for securing vSphere components, such as vCenter Server, ESXi hosts, and virtual machines Describe vSphere support for security standards and protocols Describe virtual machine security features Describe the components of a VM encryption architecture Create, manage, and migrate encrypted VMs Encrypt core dumps List VM encryption events and alarms

Duration 2 Days 12 CPD hours This course is intended for Experienced system administrators, system engineers, and system integrators. Overview Configure and manage VMware ESXi? networking and storage for a large and sophisticated enterprise Use VMware vSphere© Client?, VMware vSphere© Web Client, and VMware vSphere© ESXi? Shell to manage vSphere Use VMware vSphere© Auto Deploy? and host profiles to provision ESXi hosts Optimize the performance of all vSphere components Use VMware vRealize© Log Insight? to monitor system logs Deploy VMware vCenter© Server Appliance? to be highly available and optimized for performance Migrate a Windows vCenter Server system to vCenter Server Appliance 6.5 Harden the vSphere environment against security threats Encrypt virtual machines for additional security This advanced course provides students with advanced knowledge of configuring and operating a highly available and scalable virtual infrastructure. Course Introduction Introductions and course logistics Course objectives Identify additional resources for after this course Identify other VMware Education offerings Describe the user interfaces available in vSphere 6.5 Network Scalability Configure and manage vSphere distributed switches Explain distributed switch features such as port mirroring, LACP, QoS tagging, and NetFlow Storage Scalability Explain VMware vSphere© Storage APIs - Array Integration and VMware vSphere© API for Storage Awareness? Configure and assign virtual machine storage policies Configure VMware vSphere© Storage DRS? and VMware vSphere© Storage I/O Control Create and use virtual volumes in vSphere Host and Management Scalability Explain the uses of VMware vCenter© Converter? Define and use content libraries Describe and use host profiles Describe and use VMware vSphere© ESXi? Image Builder CLI and vSphere Auto Deploy CPU Optimization Explain the CPU scheduler operation, NUMA support, and other features that affect CPU performance Use esxtop to monitor key CPU performance metrics Memory Optimization Explain ballooning, memory compression, and host-swapping techniques for memory reclamation when memory is overcommitted Use esxtop to monitor key memory performance metrics Storage Optimization Describe storage queue types and other factors that affect storage performance Use esxtop to monitor key storage performance metrics 8 Network Optimization Network Optimization Explain the performance features of network adapters Explain the performance features of vSphere networking Use esxtop to monitor key network performance metrics Analyzing vSphere Explain how Proactive DRS enhances virtual machine availability Use vRealize Log Insight to identify and troubleshoot issues vCenter Server Availability and Performance Describe the high availability options for vCenter Server and VMware Platform Services Controller? Describe and use VMware vCenter Server© High Availability Identify the factors that influence vCenter Server performance Migrate a Windows vCenter Server 5.5 system to vCenter Server Appliance 6.5 vSphere Security Configure ESXi host access and authorization Secure ESXi, vCenter Server, and virtual machines Use VMware Certificate Authority to configure vSphere certificate management Configure vSphere to encrypt virtual machines, core dumps Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSphere 6.5 Optimize and Upgrade 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 VMware vSphere 6.5 Optimize and Upgrade 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 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. An Overview of Python Why Python? Python in the Shell Python in Web Notebooks (iPython, Jupyter, Zeppelin) Demo: Python, Notebooks, and Data Science Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences, Arrays, Dictionaries and Sets About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with Dictionaries Working with Sets Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Functions Defining functions Parameters Global and local scope Nested functions Returning values Essential Demos Sorting Exceptions Importing Modules Classes Regular Expressions The standard library Math functions The string module Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Python and Data Science Data Science Essentials Pandas Overview NumPy Overview SciKit Overview MatPlotLib Overview Working with Python in Data Science Additional course details: Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) 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 Python for Data Science: Hands-on Technical Overview (TTPS4873) 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.