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Miss Date Doctor workplace counselling services will provide services for your employees and support them with their relationship and life problems. We have a team of highly experienced and qualified professionals. The team is CPD, ICF, UKCP and BACP accredited. The M.D.D team consists of life coaches, counsellors and therapists. We offer three different packages for employers dependant on the size of your workforce. We are the most modern coaching and counselling platform in the UK. The workplace counselling services we offer have been tailored specifically to modern times and are very objective-driven and problem-solving based. We aim to give your employees the support they need whenever they need it. Call 03333443853 or email:enquiries@relationshipsmdd.com to get the solutions you need for your employees today. https://relationshipsmdd.com/workplace-counselling-services/

Mastering Segmenting and Positioning in Marketing: A Comprehensive Guide for Success Introduction In the dynamic field of marketing, mastering segmentation and positioning is crucial to developing effective strategies that resonate with target audiences. Whether you are a student navigating complex assignments or a professional refining your skills, understanding the nuances of these concepts is essential. Segmenting Positioning Assignment Help can provide you with the guidance needed to enhance your knowledge and tackle challenging tasks with confidence. Understanding Market Segmentation Market segmentation is the process of dividing a broad consumer or business market into sub-groups based on shared characteristics. These groups could be divided by demographics, psychographics, behavior, or geographic location. The objective is to tailor marketing strategies that cater specifically to each segment, ensuring more targeted and effective communication. Segmentation plays a vital role in helping marketers understand the different needs of various customer groups. By identifying these unique traits, businesses can allocate resources more efficiently, create products that meet customer demands, and develop messaging that resonates with a particular audience. For students, mastering the principles of segmentation is essential for excelling in marketing courses. When tackling your assignments, it’s important to grasp the four main types of market segmentation: Demographic Segmentation: Based on variables like age, gender, income, education, and occupation. Psychographic Segmentation: Focuses on psychological aspects such as lifestyle, values, and personality traits. Behavioral Segmentation: Involves grouping consumers based on behavior patterns like purchase history, brand loyalty, or usage rates. Geographic Segmentation: Divides markets based on location, such as country, region, or city. Acquiring a solid understanding of these categories can give you the edge needed to excel in marketing. However, if you’re finding it difficult to put these theories into practice, Segmenting Positioning Assignment Help can provide the expert guidance required to succeed. The Importance of Positioning in Marketing Strategy Positioning is the next critical step after segmentation. Once a company has identified its market segments, it must determine how to position its products or services within those segments. Effective positioning means that a company’s offerings are clearly differentiated from competitors in the minds of consumers. There are three main approaches to positioning: Competitive Positioning: Emphasizes how a product stands against competitors. Product Feature Positioning: Highlights specific features or benefits that appeal to the target market. Price-Based Positioning: Focuses on offering value through price differentiation, often targeting budget-conscious consumers. Understanding these positioning strategies is critical to creating a strong brand identity. In marketing assignments, you’ll often be asked to develop a positioning strategy that fits with a company’s overall marketing goals and customer expectations. Struggling with positioning concepts? Segmenting Positioning Assignment Help can offer you the in-depth knowledge and practical advice needed to navigate these assignments successfully. How to Apply Segmenting and Positioning in Real-World Marketing Applying segmentation and positioning in the real world goes beyond theory. It requires critical thinking, creativity, and analytical skills to develop a marketing strategy that truly speaks to the target audience. Here’s how you can apply these concepts effectively: Conduct Thorough Market Research: Understanding your target audience through research is the foundation of both segmentation and positioning. Use surveys, interviews, and data analysis to gather insights into consumer behavior and preferences. Identify Key Customer Segments: Based on your research, identify the segments that are most likely to be interested in your product or service. Tailor your marketing efforts to these groups for maximum impact. Develop a Clear Positioning Statement: Craft a message that clearly communicates the unique benefits of your offering. Ensure that it differentiates your product from competitors and resonates with the target segment. Consistently Communicate Your Positioning: Your positioning should be reflected in all aspects of your marketing, from advertising to customer service. Consistency is key to building brand loyalty and trust. Completing assignments that require you to apply these real-world skills can be challenging. Segmenting Positioning Assignment Help can assist you in crafting well-researched and structured assignments that demonstrate a clear understanding of these concepts. The Role of Segmentation and Positioning in Digital Marketing With the rise of digital marketing, segmentation and positioning have become more sophisticated. Online platforms provide marketers with vast amounts of data, enabling them to create more refined segments and develop highly targeted campaigns. Whether through social media, email marketing, or pay-per-click advertising, businesses can now reach specific audiences with laser precision. For students studying digital marketing, it’s crucial to understand how segmentation and positioning are applied in this context. Some key areas to focus on include: Targeted Advertising: Platforms like Google Ads and Facebook allow businesses to target ads based on demographics, interests, behaviors, and locations. This enables more efficient use of marketing budgets and improves conversion rates. Personalization: Modern consumers expect personalized experiences. By segmenting audiences and positioning products effectively, marketers can deliver tailored messages that resonate on an individual level. Data-Driven Decisions: Analytics tools provide valuable insights into consumer behavior, allowing businesses to refine their segmentation and positioning strategies over time. Understanding these digital marketing applications can give you a competitive edge in your assignments. If you need further guidance, Segmenting Positioning Assignment Help is available to offer tailored support for your digital marketing studies. How Segmenting and Positioning Lead to Business Success Businesses that master segmentation and positioning often outperform their competitors. By targeting the right audience with the right message, they can increase customer engagement, build brand loyalty, and drive sales. Some of the key benefits include: Improved Customer Satisfaction: When companies understand the unique needs of their target segments, they can deliver products and services that meet those needs more effectively. Increased Market Share: Positioning a brand as the best solution for a particular market segment can lead to a larger market share and greater profitability. Enhanced Brand Perception: A well-positioned brand is seen as more credible and reliable by consumers, helping to build long-term customer relationships. For students, understanding these benefits is essential for crafting successful marketing strategies in your coursework. If you’re finding it difficult to connect these concepts with real-world business outcomes, Segmenting Positioning Assignment Help can guide you through the process. Conclusion Segmenting and positioning are foundational concepts in marketing that can significantly impact business success. By breaking down broad markets into smaller, more manageable segments and crafting positioning strategies that resonate with those segments, companies can develop highly effective marketing campaigns. If you’re working on assignments that require you to analyze these concepts, don’t hesitate to seek support. Segmenting Positioning Assignment Help is designed to give you the expertise and confidence you need to ace your assignments and build a strong foundation for your future career in marketing.

Introduction Making a great first impression can be a game-changer, and your self-introduction plays a crucial role in this. It’s not just about stating who you are but presenting yourself in a way that captures attention and fosters connections. Whether you're stepping into a job interview or mingling at a party, a well-structured self-introduction can make all the difference. Understanding Your Audience Identifying Your Audience Before you craft your introduction, it's essential to understand who you're speaking to. Are you addressing colleagues in a corporate setting, potential clients, or new acquaintances at a social event? Knowing your audience helps tailor your message to their interests and expectations. Tailoring Your Message to the Audience Different audiences require different approaches. For a professional audience, focus on your career achievements and skills. For a social setting, you might emphasize hobbies or personal interests. Adapting your message ensures relevance and keeps your audience engaged. Crafting Your Introduction Key Elements of a Self-Introduction A solid introduction typically includes: Name and Current Role: Start with who you are and what you do. This sets the context for your audience. Relevant Background Information: Share a bit about your background that adds value to the conversation. Unique Selling Points: Highlight what makes you unique or what you bring to the table. Structuring Your Introduction for Clarity Organize your introduction in a logical flow. Start with your name, move on to your current role, share relevant background information, and end with your unique selling points. This structure ensures your introduction is clear and impactful. The Power of a Strong Opening Creating a Memorable Hook Capture your audience's attention right from the start. Use a compelling hook, such as an intriguing fact about yourself, a brief anecdote, or a relevant quote. A strong opening piques curiosity and draws your audience in. Using Anecdotes or Quotes Incorporating a brief story or a quote can make your introduction more engaging and memorable. Choose anecdotes that reflect your personality or achievements, and quotes that resonate with your message. Building Your Narrative Crafting a Compelling Story People connect with stories. Weave a narrative around your experiences, challenges, and successes. This approach makes your introduction more relatable and interesting. Highlighting Achievements and Experiences Focus on significant achievements and experiences that align with the context of your introduction. This helps establish credibility and shows what you bring to the table. Keeping It Concise Importance of Brevity While it’s tempting to share every detail, brevity is key. Aim for a concise introduction that covers the essentials without overwhelming your audience. A brief, well-crafted introduction is often more effective than a lengthy one. Techniques for Staying on Point To stay on point, practice your introduction and focus on the most relevant information. Avoid tangents and ensure every part of your introduction adds value. Engaging with Your Audience Asking Questions Engage your audience by asking questions or inviting them to share their thoughts. This interaction not only makes your introduction more engaging but also fosters a two-way conversation. Inviting Interaction Encourage dialogue by showing interest in your audience’s responses or reactions. This approach helps build connections and makes your introduction more dynamic. Non-Verbal Communication Body Language Tips Non-verbal cues play a significant role in communication. Maintain good posture, use open gestures, and avoid crossing your arms. Your body language should complement your verbal introduction. The Role of Eye Contact Maintaining eye contact shows confidence and helps build trust with your audience. It demonstrates engagement and sincerity in your introduction. Tailoring Your Introduction for Different Settings Professional Settings In professional settings, focus on your career achievements, skills, and professional interests. Be formal and concise, and ensure your introduction aligns with the context of the meeting or event. Social Gatherings For social gatherings, highlight personal interests, hobbies, or interesting facts about yourself. This helps create a friendly atmosphere and fosters personal connections. Virtual Introductions In virtual settings, ensure your introduction is clear and engaging despite the lack of physical presence. Use visual aids if possible, and maintain a positive and professional tone. Practicing Your Delivery Rehearsing Your Introduction Practice your introduction to build confidence and ensure smooth delivery. Rehearse in front of a mirror or with friends to refine your approach and timing. Adapting to Feedback Be open to feedback and adjust your introduction based on what resonates best with your audience. Continuous improvement helps keep your introduction fresh and effective. Common Mistakes to Avoid Overloading with Information Avoid overwhelming your audience with too much information. Focus on key points and keep your introduction relevant to the context. Being Too Vague or Generic Generic introductions can be forgettable. Be specific and highlight unique aspects of your background or achievements to stand out. Using Visual Aids Enhancing Your Introduction with Slides or Props In some settings, visual aids can enhance your introduction. Use slides or props to highlight key points or add visual interest. Ensure they support your message without overshadowing it. When and How to Use Visual Aids Effectively Only use visual aids when they add value to your introduction. Keep them simple and relevant, and practice using them smoothly in your delivery. The Role of Confidence Building Self-Confidence Confidence can be built through practice and preparation. Know your material, rehearse regularly, and adopt a positive mindset to boost your confidence. Projecting Confidence Through Speech Your tone, pace, and clarity of speech reflect your confidence. Speak clearly, at a steady pace, and with enthusiasm to convey confidence effectively. Feedback and Improvement Seeking Constructive Feedback Request feedback from trusted friends or colleagues to gain insights into how your introduction is received. Use this feedback to make improvements. Continuously Refining Your Introduction Refine your introduction based on feedback and personal experiences. Regular updates ensure your introduction remains relevant and impactful. Conclusion Crafting a powerful self-introduction is both an art and a skill. By understanding your audience, structuring your message clearly, and practicing your delivery, you can make a memorable first impression. Remember to tailor your introduction for different settings, engage with your audience, and continually refine your approach. With these strategies, you'll be well-equipped to introduce yourself effectively in any situation. FAQs 1. What should be included in a professional self-introduction? Include your name, current role, key achievements, and relevant skills. Tailor it to the context of the professional setting. 2. How long should my self-introduction be? Aim for 30-60 seconds. It should be concise yet comprehensive enough to convey your key points. 3. How can I make my introduction more engaging? Use a memorable hook, incorporate personal anecdotes, and engage your audience with questions or interactive elements. 4. What are common mistakes to avoid in a self-introduction? Avoid being too vague, overloading with information, or appearing uninterested. Focus on relevance and clarity. 5. How can I improve my self-introduction over time? Seek feedback, practice regularly, and refine your introduction based on experiences and audience reactions.

Duration 5 Days 30 CPD hours This course is intended for Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to: ? Create working Python scripts following best practices ? Use python data types appropriately ? Read and write files with both text and binary data ? Search and replace text with regular expressions ? Get familiar with the standard library and its work-saving modules ? Use lesser-known but powerful Python data types ? Create 'real-world', professional Python applications ? Work with dates, times, and calendars ? Know when to use collections such as lists, dictionaries, and sets ? Understand Pythonic features such as comprehensions and iterators ? Write robust code using exception handling An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features. An Overview of Python What is python? 1 -- An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Built-in 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 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 files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings The standard library The sys module Launching external programs Math functions Random numbers The string module Reading CSV data Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the file system Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced users who want to use Python in web development projects, or system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows. 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 write essential Python scripts using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Get familiar with the standard library and its work-saving modules Use lesser known but powerful Python data types Create 'real-world', professional Python applications Work with dates, times, and calendars Know when to use collections such as lists, dictionaries, and sets Understand Pythonic features such as comprehensions and iterators Write robust code using exception handling Mastering Python Programming is an introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs 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 Array types About array types (AKA sequences) Lists and list methods Tuples Indexing and slicing Iterating through a sequence Nested sequences Sequence functions, keywords, and operators List comprehensions Generator Expressions Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases An Introduction to Python Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings Using the Standard Library The sys module Launching external programs Math functions Random numbers Reading CSV data Dates and Times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the File System Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations Advanced Data Handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network Programming Using requests Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Reading input files a la Unix Parsing command-line options Detecting the current platform Implementing logging Additional course details: Nexus Humans Mastering Python Programming (TTPS4820) 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 Mastering Python Programming (TTPS4820) 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 class is designed for anyone looking to edit professional-quality video with Final Cut Pro X and who prefers hands-on and interactive instruction to best explore its functionality. Overview Start with basic video editing techniques and work all the way through Final Cut Pro's powerful advanced features. Students work with dramatic real-world media to learn the practical techniques used daily in editing projects. Final Cut Pro X is a revolutionary video editing application that makes it possible for beginners and professionals to achieve stunning results. This course teaches students to perform editing functions and becoming familiar with the user interface. Exploring the Final Cut Pro X Interface Following a Workflow Opening Final Cut Pro X Exploring the Interface Using Menus and Shortcuts Viewing and Sorting Events Skimming Clips and Changing Views Viewing and Creating Projects Working in the Project Library Viewing Projects in the Timeline Hiding and Quitting Final Cut Pro Importing Importing Media into an Event Importing Folders as Keyword Collections Analyzing and Correcting Imported Clips Importing from a Camera Importing from the Finder Importing from Other Applications Organizing Clips in an Event Using Metadata to Customize an Event Adding Keywords to Clips Assigning Multiple Keywords to Clips Applying Keywords to a Clip Range Rating, Sorting and Searching Clips Creating Smart Collections Building a Rough Cut Creating a New Project Screening and Marking Clips Appending Clips in the Timeline Viewing and Arranging Clips in the Magnetic Timeline Inserting Clips into the Primary Storyline Changing Edited Clips Connecting Clips to the Primary Storyline Closing your Project Finetuning a Rough CutAdding to the Primary Storyline Duplicating a Project Removing Clip Selections and Adding Gaps Understanding Trimming, Applying the Trim Tool Trimming with Precision Applying Transitions Preparing for Transitions Applying a Video Transition Using the Transitions Browser Modifying Transitions Changing Transition Parameters in the Inspector Adding Transitions to Other Storylines and Compound Clips Exploring Audio Transitions Working with Sound Monitoring and Adjusting Audio in the Timeline Adding Music and Sound Effects, Adjusting Levels in the Audio Inspector Creating Audio Fades Recording a Narration Track Correcting Problem Audio Working with Titles, Generators and Themes Using the Titles Browser Adding a Lower Third Modifying Titles Adding Bumpers and Credits Working with Video Generators Using Themes Retiming and Transforming Clips Understanding Motion Properties Retiming Clips Creating Holds and Variable Speed Segments Applying Preset Speed Effects Transforming an Image Cropping an Image Adding a Ken Burns Effect Creating Keyboard Shortcuts Applying Effects and Enhancing Color Applying Video Effects Modifying Effect Parameters Auditioning and Animating Effects Applying Audio Effects Enhancing Color in Final Cut Pro Exporting and Sharing Your Project Preparing a Project for Exporting and Sharing Detecting Audio Peaks Adjusting Video Levels for Broadcast Exporting Movie File Publishing a Project to Apple Devices Publishing a Project to Video Sharing Sites Exporting an Image from your Project Exporting for Blue-Ray Disc, DVD, or Disk Image Certification Exam Students can take an end user exam to earn Apple Certified Pro, Final Cut Pro X Level One status Additional course details: Nexus Humans Apple - Mac Final Cut Pro X - Level 101 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 Apple - Mac Final Cut Pro X - Level 101 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.

Duration 2 Days 12 CPD hours This course is intended for Cybersecurity analysts and engineers Security operations specialists Overview Successful completion of this instructor-led course with hands-on lab activities should enable participants to: Investigate and manage incidents Describe the Cortex XDR causality and analytics concepts Analyze alerts using the Causality and Timeline Views Work with Cortex XDR Pro actions such as remote script execution Create and manage on-demand and scheduled search queries in the Query Center Create and manage the Cortex XDR rules BIOC and IOC Working with Cortex XDR assets and inventories Write XQL queries to search datasets and visualize the result sets Work with Cortex XDR's external-data collection This instructor-led course teaches you how to use the Incidents pages of the Cortex XDR management console to investigate attacks. It explains causality chains, detectors in the Analytics Engine, alerts versus logs, log stitching, and the concepts of causality and analytics. You will learn how to analyze alerts using the Causality and Timeline Views and how to use advanced response actions, such as remediation suggestions, the EDL service, and remote script execution. Multiple modules focus on how to leverage the collected data. You will create simple search queries in one module and XDR rules in another. The course demonstrate how to use specialized investigation views to visualize artifact-related data, such as IP and Hash Views. Additionally, it provides an introduction to XDR Query Language (XQL). The course concludes with Cortex XDR external-data collection capabilities, including the use of Cortex XDR API to receive external alerts. This class is powered by Cloud Harmonics. Course Outline Module 1 - Cortex XDR Incidents Module 2 - Causality and Analytics Concepts Module 3 - Causality Analysis of Alerts Module 4 - Advanced Response Actions Module 5 - Building Search Queries Module 6 - Building XDR Rules Module 7 - Cortex XDR Assets Module 8 - Introduction to XQL Module 9 - External Data Collection

Duration 5 Days 30 CPD hours This course is intended for This course is geared toward Windows system administrators, network administrators, and other system administrators who are interested in supplementing current skills or backstopping other team members, in addition to Linux system administrators who are responsible for these tasks: Configuring, installing, upgrading, and maintaining Linux systems using established standards and procedures, Providing operational support, Managing systems for monitoring system performance and availability, Writing and deploying scripts for task automation and system administration, You will be expected to already understand fundamental Linux computing concepts and be ready to practice the Red Hat Enterprise Linux methods for performing system administration tasks. Significant field experience working with Linux as a system administrator is recommended. If you do not have experience with fundamental Linux computer concepts, we advise you to start with the Red Hat System Administration I (RH124) course instead. Overview You should be able to demonstrate these skills: - Access the command line locally and remotely - Manage files from the command line - Manage local users and groups - Monitor and manage Linux processes - Control services, daemons, and the boot process - Manage tuning profiles for system performance - Control access to files with file system permissions - Analyze and store log files - Configure and secure the OpenSSH service - Install and update software packages and appstreams - Manage Linux file systems and volumes - Manage Linux networking and firewalls This course combines the foundations and applications established and covered in Red Hat System Administration I (RH124) and Red Hat System Administration II (RH134). The rapid pace of review and consolidated course timeline allow you to focus on practical application, making this offering best suited for you if you already have significant experience with Linux© administration. This course is based on Red Hat© Enterprise Linux 8. 1 - Accessing the command line Log in to a Linux system and run simple commands using the shell. 2 - Managing Files from the command line Work with files from the bash shell prompt. 3 - Managing local Linux users and groups Manage Linux users and groups and administer local password policies. 4 - Controlling access to files with Linux file system permissions Set access permissions on files and interpret the security effects of different permission settings. 5 - Managing SELinux security Use SELinux to manage access to files and interpret and troubleshoot SELinux security effects. 6 - Monitoring and managing Linux processes Monitor and control processes running on the system. 7 - Installing and updating software packages Download, install, update, and manage software packages from Red Hat and yum package repositories. 8 - Controlling services and daemons Control and monitor network services and system daemons using systemd. 9 - Managing Red Hat Enterprise Linux networking Configure basic IPv4 networking on Red Hat Enterprise Linux systems. 10 - Analyzing and storing logs Locate and interpret relevant system log files for troubleshooting purposes. 11 - Managing storage and file systems Create and use disk partitions, logical volumes, file systems, and swap spaces. 12 - Scheduling system tasks Schedule recurring system tasks using cron and systemd timer units. 13 - Mounting network file systems Mount network file system (NFS) exports and server message block (SMB) shares from network file servers. 14 - Limiting network communication with firewalld Configure a basic local firewall. Additional course details: Nexus Humans Red Hat RHCSA Rapid Track Course (RH199) 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 Red Hat RHCSA Rapid Track Course (RH199) 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 course is designed for anyone currently working on Agile-based projects or having experience with other forms of project management experience and want to add Agile PM skills and knowledge to their portfolio. Anyone with any experience in project-based work, either from the customer or supplier side can benefit from this course, including but not limited to: project manager, team leaders and managers or project employees. Overview AgilePM ™ certification is the result of collaboration between APMG-International and the DSDM Consortium. DSDM (Dynamic Systems Development Method) is the longest existing Agile method and the only Agile method aimed at managing Agile projects. It Has evolved over the years into a Project Framework, and AgilePM is a subset tailored to the Agile project manager. Students will be explained how the model is set up, how the different project activities and project roles are connected and how AgilePM handles project management. This course provides preparation for the Foundation exam of APMG. Training Day 1 - AgilePM Foundation Topics What is Agile? Choosing an appropriate Agile approach philosophy, principles and project variables preparing for success The DSDM Process Training Day 2 - AgilePM Foundation Topics The People ? DSDM Roles and Responsibilities The DSDM Products Key practices ? prioritization and timeboxes Training Day 3 - AgilePM Foundation Topics Planning and control throughout the lifecycle Other practices: facilitated workshops, modeling and iterative development