123 Scientist courses delivered Live Online

Course Overview The Sports Medicine Fundamentals course offers a comprehensive introduction to the key principles, practices, and applications of sports medicine. This engaging programme covers essential areas such as common sports injuries, athlete nutrition, performance enhancement, and the future of sports science. Designed for individuals looking to deepen their understanding of athlete care and physical performance, the course provides valuable insights that can support professional growth or personal interest. Learners will explore the medical challenges faced by athletes, understand imaging techniques used in diagnostics, and examine the role of exercise and nutrition in injury prevention and recovery. By the end of this course, learners will be equipped with a strong foundational knowledge of sports medicine, ready to pursue further study or career opportunities in related fields. The content is suitable for both beginners and those looking to enhance their expertise within the world of sports and health sciences. Course Description This course delves into the core concepts of sports medicine, offering an in-depth understanding of injury management, prevention strategies, and athlete wellbeing. Topics include the study of the most common sports injuries, the use of medicines in treatment plans, and the impact of nutrition and weight management on athletic performance. Learners will explore medical conditions unique to athletes, advancements in imaging technologies, and the science behind performance enhancement techniques. Additionally, the course highlights potential career paths within the sports medicine sector, providing guidance for those considering entering the field. With a carefully structured curriculum, learners will gain theoretical knowledge and critical thinking skills that will prepare them for roles in sports healthcare, rehabilitation, and exercise science. Presented in an accessible format, the course supports diverse learning needs and fosters a solid understanding of the evolving landscape of sports medicine. Course Modules Module 01: Sports Medicine Module 02: Careers in Sports Medicine Module 03: Top Ten Common Sports Injuries Module 04: Common Sports Medicines Module 05: Nutrition and Weight Management Module 06: Medical Problems Faced by Athletes Module 07: Sports and Exercise Module 08: Imaging in Sports Medicine Module 09: Performance Enhancement Module 10: The Future of Sports Science (See full curriculum) Who is this course for? Individuals seeking to understand the fundamentals of sports medicine and athlete care. Professionals aiming to broaden their knowledge of sports healthcare and rehabilitation. Beginners with an interest in sports science, athletic performance, or health studies. Fitness coaches, physical education teachers, or anyone considering a career in sports health. Career Path Sports Medicine Assistant Athletic Trainer Rehabilitation Support Staff Fitness and Wellness Advisor Exercise Scientist Sports Performance Analyst Health and Wellness Coordinator Youth Sports Programme Coordinator

Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer

Microsoft Power BI Masterclass 2021 Course Overview: The "Microsoft Power BI Masterclass 2021" provides learners with the skills to become proficient in data analysis and visualization using Power BI. This comprehensive course covers the core functionalities of Power BI, from data preparation and transformation to creating impactful reports and dashboards. Learners will gain valuable insights into data modelling, visualisation, and the use of DAX for advanced calculations. By the end of the course, participants will be able to apply their knowledge to real-world projects, improving their ability to communicate data-driven insights effectively. This course is ideal for professionals and beginners who want to leverage Power BI to unlock the potential of their data. Course Description: This masterclass delves into the essential features of Microsoft Power BI, guiding learners through every stage of data analysis. Starting with project setup and data transformation in the Query Editor, the course progresses to advanced topics such as DAX functions and data storytelling. Learners will explore how to build data models, create dashboards, and employ Python in Power BI to enhance their reports. The course also covers Power BI Service for cloud-based analytics, row-level security for data protection, and integrating additional data sources. With a focus on empowering users to communicate insights clearly, the course ensures learners gain the expertise to manage data efficiently, make informed decisions, and stay up to date with evolving tools and features. Microsoft Power BI Masterclass 2021 Curriculum: Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance their data visualization expertise. Beginners with an interest in data science or business analytics. Business analysts or data professionals looking to upskill in Power BI. Career Path: Data Analyst Business Intelligence Analyst Data Scientist Power BI Developer Reporting Analyst Data Visualisation Expert

Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. Lesson 1: Tableau Fundamentals Topic A: Overview of Tableau Topic B: Navigate and Configure Tableau Lesson 2: Connecting to and Preparing Data Topic A: Connect to Data Topic B: Build a Data Model Topic C: Save Workbook Files Topic D: Prepare Data for Analysis Lesson 3: Exploring Data Topic A: Create Views Topic B: Customize Data in Visualizations Lesson 4: Managing, Sorting, and Grouping Data Topic A: Adjust Fields Topic B: Sort Data Topic C: Group Data Lesson 5: Saving, Publishing, and Sharing Data Topic A: Save Data Sources Topic B: Publish Data Sources and Visualizations Topic C: Share Workbooks for Collaboration Lesson 6: Filtering Data Topic A: Configure Worksheet Filters Topic B: Apply Advanced Filter Options Topic C: Create Interactive Filters Lesson 7: Customizing Visualizations Topic A: Format and Annotate Views Topic B: Emphasize Data in Visualizations Topic C: Create Animated Workbooks Topic D: Best Practices for Visual Design Lesson 8: Creating Dashboards in Tableau Topic A: Create Dashboards Topic B: Enhance Dashboards with Actions Topic C: Create Mobile Dashboards Lesson 9: Creating Stories in Tableau Topic A: Create Stories Topic B: Enhance Stories with Tooltips

Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

Python Unittest Course Summary. Testing plays a major role in software development. This course will explain Python Unit Testing using the unittest built-in module. We'll cover issues before going to the production itself and the basics of testing in Python. Location: Instructor-led, Online. Our Style: Hands-on, Practical Course. Group Size: Max 4 people per group. Qualification: PCWorkshops Unittest Certification Duration: 1-Day, 10am-5pm Unittest topics UnitTest Framework - Home UnitTest Framework - Overview UnitTest - Framework UnitTest - API UnitTest - Assertion UnitTest - Test Discovery UnitTest - Skip Test UnitTest - Exceptions Test UnitTest - Time Test UnitTest - Unittest2 UnitTest - Signal Handling UnitTest - Doctest UnitTest - Doctest API UnitTest - Py.test Module Nose Testing - Framework Nose Testing - Tools Included with Python Unittest Course Python Unittest Certificate on completion Python Unittest Videos Python Unittest Notes Python Unittest Examples Practical Python Unittest exercises

Diploma in Anatomy and Physiology of Human Body Course Overview The Diploma in Anatomy and Physiology of the Human Body offers a comprehensive exploration of the structure and functions of the human body. It covers key systems, from the cellular level to complex bodily functions, providing a strong foundation in understanding human biology. Learners will gain valuable insights into the mechanisms that govern health and disease, which is essential for careers in healthcare, fitness, and other related fields. By the end of the course, learners will have a deep understanding of human anatomy and physiology, empowering them to apply this knowledge in various professional settings. Course Description This course covers a wide range of topics, including cellular chemistry, tissues, the skeletal and muscular systems, the nervous system, and the cardiovascular and reproductive systems. Learners will explore the intricate workings of the human body, including the mechanisms of cell division, metabolism, and sensory systems. The course provides detailed insights into the human brain, eyes, ears, digestive, and respiratory systems, as well as blood, lymphatics, and immunity. It offers a structured learning experience that develops learners' knowledge of human physiology and equips them with a thorough understanding of how the body functions in health and disease. The course is designed to prepare learners for roles that require a detailed understanding of human biology and the ability to apply it in diverse settings. Diploma in Anatomy and Physiology of Human Body Curriculum Module 01: The Chemistry of Cells Module 02: Cells Module 03: Cell Division Module 04: Replication and Metabolism Module 05: Human Tissues Module 06: Skin Module 07: Human Skeletal System Module 08: The Muscular System Module 09: Skeletal Muscle Fibre Module 10: Nervous System Module 11: The Brain Module 12: Nervous System—Spinal Cord and Spinal Nerves Module 13: Nervous System - Autonomic Nervous System and Cranial Nerves Module 14: Nervous System—The Eyes Module 15: Nervous System—The Ears, Hearing, and Equilibrium Module 16: Nervous System—Memory Module 17: Sensory Systems Module 18: Cardiovascular System Module 19: Blood Module 20: Lymphatics Module 21: Immune System Module 22: Digestive System Module 23: Respiratory System Module 24: Urinary System Module 25: Male Reproductive System Module 26: Female Reproductive System (See full curriculum) Who is this course for? Individuals seeking to understand the fundamentals of human biology. Professionals aiming to enhance their knowledge of anatomy and physiology. Beginners with an interest in healthcare, fitness, or biological sciences. Healthcare workers wishing to improve their understanding of the human body. Career Path Healthcare Assistant Fitness Trainer Medical Researcher Nurse Physiotherapist Biomedical Scientist Occupational Therapist Sports Therapist

Python Data Analytics with Python using Numpy, Pandas, Dataframes. Most attendees are in-work Data Professional. Private individuals are very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led

Learn the basics of Data Science, combining a supported #CISCO Skills for All online course with practical learning and a project to help consolidate the learning.

Develop your technical report writing and presentation skills with EnergyEdge's course designed for oil & gas professionals. Sign up now!