12061 Environment courses in Pontllanfraith delivered Online

Sales Skills Course Overview This Sales Skills course provides a comprehensive foundation in essential sales techniques and strategies designed to boost performance and confidence in any sales environment. Learners will explore a wide range of topics from understanding customer behaviour to mastering effective communication and negotiation skills. The course is structured to help individuals develop the ability to present products persuasively, overcome objections, and close deals successfully. With a focus on both traditional and modern sales approaches, participants will gain the knowledge required to drive sales growth and build lasting customer relationships. By completing this course, learners will be equipped with valuable skills that enhance their professional effectiveness and open up new opportunities within sales and marketing roles. Course Description This course covers core areas essential to becoming a successful sales professional. Starting with the fundamentals of sales, it advances into specialised techniques such as sales hypnosis and persuasive presentations. Learners will study how to integrate sales with marketing efforts effectively and understand the dynamics of leverage and limitations in sales contexts. Emphasis is placed on developing strong communication skills, managing negotiations confidently, and handling customer interactions with professionalism. The course also addresses common challenges such as dealing with objections and provides tips and strategies to refine sales tactics. Delivered in a clear, professional format, the curriculum ensures that learners gain both theoretical knowledge and applied understanding suitable for a variety of sales roles across multiple industries. Sales Skills Curriculum Module 01: Introduction to Sales Module 02: Sales Growth Module 03: Sales Hypnosis Module 04: Sales Presentation Module 05: Sales and Marketing Module 06: Leverage and Limitations Module 07: Communication Skills Module 08: Sales Negotiations Module 09: Dealing with Customers Module 10: Handling Objections Module 11: Tips and Tricks for Sale (See full curriculum) Who is this course for? Individuals seeking to improve their sales performance and confidence. Professionals aiming to enhance their career in sales and marketing. Beginners with an interest in developing effective sales techniques. Customer service staff wanting to build better client relationships. Career Path Sales Executive Business Development Officer Account Manager Retail Sales Consultant Marketing Assistant Customer Relationship Manager

The Power of Attitude Course Overview This course, The Power of Attitude, delves into the significant role attitude plays in shaping success across various aspects of life and work. It explores how mindset can influence decision-making, interpersonal relationships, and overall performance. Learners will discover how to harness the power of a positive attitude to overcome challenges, boost resilience, and foster a productive environment. The course offers valuable insights into the psychology behind attitude, providing practical strategies to adopt and maintain an optimistic outlook, ultimately enhancing personal and professional outcomes. By the end of the course, learners will have a clear understanding of how attitude affects success and how to leverage it for growth. Course Description The Power of Attitude covers essential aspects of how attitude impacts both personal and professional life. Topics include the psychology of attitude, the link between mindset and performance, techniques for cultivating a positive attitude, and the importance of maintaining a solution-focused approach. Throughout the course, learners will engage with content designed to shift their thinking and empower them to embrace challenges with confidence. Participants will gain an in-depth understanding of the attitudes that lead to success and how to transform negative thinking patterns into constructive behaviour. Learners will also develop strategies for fostering a positive workplace culture, enhancing productivity, and improving relationships. The course ensures that learners can apply these insights effectively, driving personal and professional transformation. The Power of Attitude Curriculum Module 01: Power of Attitude in Personal and Professional Success Module 02: The Psychology Behind Attitude and Behaviour Module 03: Shifting from a Negative to a Positive Mindset Module 04: The Role of Attitude in Leadership and Team Dynamics Module 05: Techniques for Maintaining a Positive Outlook Module 06: Overcoming Challenges with the Right Attitude (See full curriculum) Who is this course for? Individuals seeking to improve their personal and professional mindset. Professionals aiming to enhance their leadership and team-building skills. Beginners with an interest in self-development and attitude management. Those looking to boost their resilience and emotional intelligence. Career Path Personal Development Coach Leadership Consultant Human Resources Professional Team Manager or Supervisor Workplace Trainer

Front End Web Development Training for Everyone Course Overview This Front End Web Development Training for Everyone offers a comprehensive introduction to creating dynamic, visually appealing websites using the latest technologies. Learners will explore essential web development concepts, including HTML, CSS, JavaScript, and popular frameworks such as Bootstrap and jQuery. The course is designed to equip participants with the skills to build responsive, user-friendly web pages, from basic layouts to advanced interactive features. By the end, learners will have developed a professional portfolio showcasing their abilities, preparing them for roles in web development or enhancing their current careers. This training is suitable for all levels, providing a structured pathway from fundamental principles to advanced techniques, ensuring a solid foundation in front-end development. Course Description This detailed course covers the entire front-end development process, beginning with foundational web design principles and progressing to advanced programming features. Learners will gain expertise in styling with CSS, creating smooth transitions, and managing data types within JavaScript. The curriculum also introduces jQuery for efficient DOM manipulation and Bootstrap’s grid system for responsive design. Emphasis is placed on understanding code structure and functionality to create engaging websites. Throughout the course, participants will build a portfolio page that demonstrates their new skills in real-world scenarios. The learning experience blends conceptual knowledge with applied coding challenges, ensuring learners develop both the technical and creative aspects required for effective front-end development in today’s digital environment. Front End Web Development Training for Everyone Curriculum: Module 01: Complete Front-End Development Journey Module 02: Cascading Style Sheet Module 03: Transitions And Data Types Module 04: Advanced JavaScript And Its Features Module 05: JQuery And Selectors Module 06: Bootstrap And Grid System Module 07: Creating Portfolio Page (See full curriculum) Who is this course for? Individuals seeking to start a career in front-end web development. Professionals aiming to enhance their web design and coding skills. Beginners with an interest in website creation and digital design. Anyone wanting to build a solid foundation in modern web technologies. Career Path Front-End Developer Web Designer UI/UX Developer Junior Web Programmer Digital Content Creator

Level 4 QLS Endorsed Diploma | 120 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Business Analysis: Business Analysis Course Online Introducing Business Analysis: Business Analysis Course "Empowering the Next Generation" Online course! This Business Analysis: Business Analysis Course provides a thorough introduction to the primary functions and objectives of business analysis: business analysis activities. Learn about the business analyst's main duties and responsibilities, as well as the six primary phases of the business analysis: business analysis process, the art of effective business process improvement, and how to perform a gap analysis. Whether you are looking for a promotion or a major career change, this Business Analysis: Business Analysis Course could make all the difference. Business Analysis: Business Analysis Course are responsible for implementing positive change at all levels of an organisation. The business analyst, appointed by both employers and stakeholders, must establish objectives (financial or otherwise) and oversee the creation and implementation of solutions. Ultimately, they work with complex business intelligence data to continuously improve performance and profitability. To become a skilled business analyst is to become one of the most in-demand commodities for employers and decision-makers worldwide. Why choose this Business Analysis: Business Analysis Course from the School of Health Care? Self-paced Autism: Autism course, access available from anywhere in the world. Business Analysis: Business Analysis Course developed by industry experts. After each module of Autism: Autism Course, there will be an MCQ quiz to assess your learning. Free PDF certificate after completing the Business Analysis: Business Analysis Course Courses you will Get with This Business Analysis: Business Analysis Course Course 01: Business Analysis Course 02: Business Process Management Course 03: Creating a Business Start-Up Course 04: Level 3 Business Administration Course 05: Strategic Management Special Offers of this Business Analysis: Business Analysis Course: This Business Analysis: Business Analysis Course includes a FREE PDF Certificate. Lifetime access to this Business Analysis: Business Analysis Course Instant access to this Business Analysis: Business Analysis Course 24/7 Support Available to this Business Analysis: Business Analysis Course [ Note: Free PDF certificate as soon as completing Business Analysis: Business Analysis Course] Business Analysis: Business Analysis Course Online This Business Analysis: Business Analysis Course consists of 12 modules. This Business Analysis: Business Analysis course is your gateway to mastering the skills needed to drive positive change in organisations. As a business analyst, you'll be responsible for setting objectives, whether financial or operational, and overseeing the creation of solutions. Through this Business Analysis: Business Analysis course, you’ll learn how to work with complex business intelligence data to improve performance and profitability. Becoming a skilled professional in Business Analysis: Business Analysis makes you an in-demand asset for employers and decision-makers globally. Who is this course for? Business Analysis: Business Analysis Course Online This Business Analysis: Business Analysis Course is suitable for anyone looking to take a current or prospective career in business to the next level. Requirements Business Analysis: Business Analysis Course Online To enrol in this Business Analysis: Business Analysis Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Business Analysis: Business Analysis Course. Be energetic and self-motivated to complete our Business Analysis: Business Analysis Course. Basic computer Skill is required to complete our Business Analysis: Business Analysis Course. If you want to enrol in our Business Analysis: Business Analysis Course, you must be at least 15 years old. Career path Business Analysis: Business Analysis Course Online A Business Analysis: Business Analysis Course may prepare you for a successful career in practically any corporate environment.

Take your REST APIs to a whole new level with this advanced Flask and Python course!

Duration 3 Days 18 CPD hours This course is intended for This course is geared for anyone needing to interface with an Oracle database such as end users, business analysts, application developers and database administrators / DBAs. Overview Working within in a hands-on learning environment, guided by our expert team, attendees will develop a practical approach to Oracle Database Technology. Throughout the course participants will explore: Using PL/SQL programming language for database applications and development incorporating PL/SQL modules within the application architecture from the initial design and planning phase The essentials of building executable PL/SQL program units Each of the major segments of a working program and how these interact with each other during program execution Important error or exception handling capabilities of the language. How database-resident program units can be used as part of the overall database application architecture Applying these new skills to the development of PL/SQL packages. Advanced database programming capabilities and benefits How database triggers can be used as part of an advanced database application design Oracle 19c PL/SQL Fundamentals is a three-day, hands-on course that introduces Oracle database programming using the PL/SQL programming language. Throughout the course students will explore the core syntax, structure and features of the language. This course will also lay the foundation for the entire Oracle PL/SQL programming series, allowing one to progress from introductory topics to advanced application design and programming and finally onto writing complex high-performance applications. The course also explores applying the newly learned skills to the development of database applications. Participants will learn how to use database-resident stored program units such as procedures, functions, packages and database triggers. Students will also learn about the latest features in Oracle 19c. Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL *Plus Setup JDeveloper About BIND and Substitution Variables Using SQL Developer Using SQL *Plus Choosing a Database Programming Language What is Database Programming PL/SQL Programming PL/SQL Performance Advantages Integration with Other Languages PL/SQL Language Essentials PL/SQL Program Structure Language Syntax Rules Embedding SQL Writing Readable Code Generating Readable Code Generating Database Output SQL * Plus Input of Program Block DECLARE Section About the Declare Section Declare Primitive Types Declaration Options Not Null Constant Data Dictionary Integration % Type Declare Simple User-Defined Types Type ? Table Type ? Record Extended User Defined Types BEGIN Section About the Begin Section Manipulating Program Data Logic Control & Braching GOTO LOOP IF-THEN-ELSE CASE EXCEPTION Section About the Exception Section Isolating the Specific Exception Pragma Exception_INIT SQLCODE &SQLERRM Example SQL%ROWCOUNT & Select ? Into Beyond the Basics : Explicit Cursors About Explicit Cursors Extend Cursor Techniques For Update of Clause Where Current of Clause Using for ? Loop Cursors Introduction Database Resident Programming Units About Database ? Resident Programs Physical Storage & Execution Types of Stored Program Units Stored Program Unit Advantages Modular Design Principles Creating Stored Procedures and Functions Stored Procedures & Functions Create Procedure / Create Function Creating Procedures & Functions Raise_Salary() Procedure Salary_Valid() function The Parameter Specification Default Clause System & Object Privileges Using the Development Tools Executing Stored Procedures and Functions Calling Procedures & Functions Unit Testing with Execute Anonymous Block Unit Testing Specifying a Parameter Notation SQL Worksheet Unit Testing Calling Functions from SQL Maintaining Stored Programming Units Recompiling Programs Mass Recompilation Using UTL_RECOMP() Dropping Procedures & Functions Drop Procedures & Functions Drop Procedure / Function Data Dictionary Metadata Using USER_OBJECTS Using USER_SOURCE Using USER_ERRORS Using USER_OBJECT_SIZE Using USER_DEPENDENCIES Managing Dependencies Dependency Internals Tracking Dependencies The Dependency Tracking Utility SQL Developer Dependency Info Dependency Strategy Checklists Creating & Maintaining About Packages Creating Packages Maintaining Packages Performance Considerations Advanced Package Capabilities Definer & Invoker Rights White Lists & Accessible By Persistent Global Objects Defining Initilization Logic Object Orientation Support Advanced Cursor Techniques Using Cursor Variables Using SYS_REFCURSOR Using Cursor Expressions Using System Supplied Packages DBMS_OUTPUT() UTL_FILE() FOPEN() Example Database Trigger Concepts About Database Triggers DML Event Trigger Sub-Types Database Trigger Scenario Trigger Exhaustion Mechanisms Trigger within SQL Worksheet Creating Database Triggers Statement Level Triggers Using Raise Application_Error() Row-Level Triggers Examples of Triggers Employee_Salary_Check Example Employee_Journal Example Budget_Event Example Instead of Triggers Triggers within and Application Maintaining Database Triggers Call Syntax Trigger Maintenance Tasks Show Errors Trigger Drop Trigger Alter Trigger Multiple Triggers for a Table Handling Mutating Table Issues Implementing System Event Triggers What are System Event Triggers Defining the Scope Available System Events System Event Attributes

Duration 3 Days 18 CPD hours There are good reasons Adobe Premiere Pro is such a popular post-production video editing software application. It excels for a wide variety of uses; tapeless and DSLR footage; cross-platforms, open workflows for easy collaboration, powerful metadata features for greater editing and production efficiency, plus real-time 3D editing and Virtual Reality. This four-day course is ideal for beginners, as well as Final Cut Pro and Avid editors - or for anyone who is involved in a content creation environment. Adobe Premiere Interface Performing Nonlinear Editing in Premiere Pro Looking at the Standard Digital Video Workflow Enhancing the Workflow with Premiere Pro Expanding the Workflow Incorporating other Components into the Editing Workflow Adobe Creative Cloud Video Workflow Touring the Premiere Pro Workspace Looking at the Workspace Layout Customizing the Workspace Introducing Preferences Keyboard Shortcuts Moving, Backing up, and Syncing User Settings Setting up a Project Setting up a Sequence Setting up the Timeline Importing Media Importing Assets Working with ingest Options and Proxy Media Working with the Media Browser Importing Images Using Adobe Stock Customizing the Media Cache Recording a Voice-over Organizing Media Project Panel Working with Bins Monitoring Footage Modifying Clips Mastering the Essentials of Video Editing Using the Source Monitor Navigating the Timeline Essential Editing Commands Working with Clips and Markers Using Program Monitor Controls Setting the Playback Resolution Playing back VR Video Using Markers Using Sync Lock and Track Lock Finding Gaps in the Timeline Selecting Clips Moving Clips Extracting and Deleting Segments Adding Transitions Understanding Transitions Edit points and Handles Adding Video Transitions Using A/B mode to Fine-tune a Transition Adding Audio Transitions Performing Advanced Editing Techniques Performing Three or Four-point Editing Changing Playback Speed Replacing Clips and Footage Nesting Sequences Performing Regular Trimming Performing Advanced Trimming Trimming in the Program Monitor Putting Clips in Motion Adjusting the Motion Effect Changing Clip Position, Size, and Rotation Working with Keyframe Interpolation Using other Motion-related Effects Multi-camera Editing Following the Multi-camera Process Creating a Multi-camera Sequence Switching Multiple Cameras Finalizing Multi-camera Editing Editing and Mixing Audio Setting up the Interface to Work with Audio Examining Audio Characteristics Creating a Voice-over Scratch Track Adjusting Audio Volume Normalizing Audio Creating a Split Edit Adjusting Audio Levels for a Clip Sweetening Sound Sweetening Sound with Audio Effects Adjusting EQ Cleaning up Noisy Audio Fading Audio with Essential Sounds Adding Video Effects Working with Effects Master Clip Effects Masking and Tracking Visual Effects Keyframing Effects Effect Presets Frequently Used Effects Improving Clips with Color Correction and Grading Following a Color-oriented Workflow An overview of Color-oriented Effects Fixing Exposure Problems Fixing Color Balance Using Special Color Effects Creating a Look Exploring Compositing Techniques Understanding an Alpha Channel Making Compositing Part of Your Projects Working with the Opacity Effect Working with Alpha-channel Transparencies Color Keying a Green Screen Shot Using Mattes Creating Titles An Overview of Shapes & Type Loading in Graphics Using the Essentials Graphic Panel Browsing Templates Saving Templates Mastering Video Typography Essentials Creating Titles Stylizing Text Making Text Roll and Crawl Introducing Captions Managing Your Projects Using the File menu Using the Project Manager Performing the Final Project Management Steps Importing Projects or Sequences Managing Collaboration Using the Libraries Panel Managing Your Hard Drives Exporting Frames, Clips, and Sequences Overview of Export Options Exporting Single Frames Exporting a Master Copy Working with Adobe Media Encoder Uploading to Social Media Exchanging with Other Editing Applications Additional course details: Nexus Humans Adobe Premiere Pro 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 Adobe Premiere Pro 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 Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm