1317 Scientist courses

Venture into the fascinating realm of health science, where the intricacies of public health and epidemiology await your keen intellect.

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

In this compact intermediate-level course, you will learn how to use Facebook Prophet to do time series analysis and forecasting. You will learn how Prophet works under the hood and the Prophet API. We will apply Prophet to a variety of datasets, including store sales and stock prices.

A comprehensive package for beginners to learn how to automate social media applications such as WhatsApp, YouTube, and Facebook from scratch using Python. The course will help you understand the impact of social media automation in real-world applications and provide a unique hands-on experience in developing different real-time exciting projects.

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Course Information In today's evolving landscape, pharmacovigilance (PV) systems face ongoing challenges due to global, national, and company-specific events. This course focuses on developing personnel equipped to navigate these complexities and improve the safe use of medicinal products. We emphasise continuous global thinking, communication, and strategic planning, ensuring adaptability across various levels. The course explores maintaining PV system functionality while adhering to regulatory requirements. Participants will apply European regulatory standards to enhance and sustain PV system effectiveness, contributing to improvement initiatives and ensuring operational integrity. The course covers PV system intricacies, regulatory compliance, and a 'systems approach' for auditors, quality assurance personnel, and PV practitioners. Through presentations and workshops, attendees gain insights into implementing and maintaining an effective PV system. Who should attend? Auditors Pharmacovigilance Quality System Managers Pharmacovigilance scientists The QPPV. Course benefits Throughout the course delegates will explore application of the legal requirements for the PV system and quality system and how to assure these systems. They will demonstrate their ability to contribute to: A systematic investigation of the pharmacovigilance system and its quality system Examination of how the pharmacovigilance system and quality system interact to achieve compliance. The risk-based approach to auditing the PV system and quality system The maintenance of 'inspection readiness' Explore how to investigate the complex PV system Discussions about how to monitor and maintain the PV system and assure compliance. Course Objectives Clarify what has to be done: Explore application of the legal requirements. Explore how to do what has to be done: Adopt a systemic approach to systematically investigate or implement and maintain the PV system and quality system Examine how a compliant PV system and a compliant quality system interact to achieve compliance with regulatory requirements for PV Explore how to investigate the complexity of the PV system. Discus how to identify what is missing or what needs to be improved: Discuss how to monitor and maintain the PV system and assure compliance. This course will assist delegates with: An understanding of key system principles, A practical approach to implementing, maintaining and monitoring the PV system and its quality system A procedure to share expertise to increase efficiency and confidence. This course is structured to encourage delegates to: Discuss and develop ideas - Share knowledge and experiences - Solve specific problems.  By the end of the course delegates will be able to: Understand better the pharmacovigilance system, its quality system and how the components interact to achieve the objectives of pharmacovigilance Investigate, and analyse the pharmacovigilance system and to identify what is missing and what needs to be improved. Tutors Tutors will be comprised of (click the photos for biographies): Jana Hyankova Head of PV Department, IVIGEE Services a.s. Programme Please note timings may be subject to alteration. Day 1 08:30 Welcome, registration, course objectives and introduction to work groups Housekeeping notices, meet other delegates, explore how to work in your work group, course objectives. Clarify the definition and objectives of Pharmacovigilance. 09:30 The Regulatory Framework for Pharmacovigilance Identify the relevant regulations and directives. Explore GVP guidance, structure of the modules and standard format of each module. 10:00 The Pharmacovigilance System Exploration of how to organise what has to be done, communications. Exploration of the structures and processes for pharmacovigilance. 10:30 Break 11:00 Workshop 1 and Feedback Exploring an organisational model of the pharmaceutical company- cooperation between PV and other stakeholders. 12:00 The Quality System for pharmacovigilance Exploration of the structures, processes for the PV quality system and discussion of how it interacts with the pharmacovigilance system to meet the objectives of pharmacovigilance effectively and efficiently. 13:00 Lunch 14:00 Workshop 2 and Feedback The quality system puzzle. Explore the organisation of the PV quality system and how it interacts with the PV system. 14:30 The Quality System for pharmacovigilance Exploration of the structures processes for the PV quality system and discussion of how it interacts with the pharmacovigilance system to meet the objectives of pharmacovigilance effectively and efficiently. 15:00 Description of PV System 15:30 Break 15:30 Workshop 3 and Feedback The quality system puzzle Explore the organisation of the PV quality system and how it interacts with the PV system. 16:00 The Pharmacovigilance Safety Master File Construction of the Pharmacovigilance System Master File and its purpose. 17:00 Workshop 3 and Feedback Description of PV System. 18:00 End of Day Day 2 08:30 Drug Safety in the Clinical Trial Environment - Part 1 Information flow and responsibilities of the sponsor. 09:30 Workshop 4 and Feedback Drug Safety in the Clinical Trial environment: Information flow and responsibilities of the sponsor. 10:30 Break 11:00 Drug Safety in the Clinical Trial Environment - Part 2 Information flow and responsibilities of the sponsor. 12:00 Lunch 13:00 Workshop 5 and Feedback Drug Safety in the clinical trial environment: Information flow and responsibilities of the sponsor. 13:30 Processing of Safety Data Exploration of safety data processing, verification, validation, follow up, formatting and collation, reporting requirements, quality and data management. 15:00 Break 15:30 EudraVigilance Exploration of how EudraVigilance supports the PV system. 16:15 Signal Detection and Evaluation/Risk Benefit Assessment: Pharmacovigilance Risk Assessment Committee (PRAC): What is a signal? What are the regulatory requirements? How is signal detection and evaluation conducted? Qualitative and quantitative methods of signal detection. Risk benefit assessment. 17:00 Risk Management Plans A cornerstone of Pharmacovigilance safety communications, direct healthcare professional communication 18:00 End of Day Day 3 08:30 The Pharmacovigilance Risk Assessment Committee (PRAC) Exploration of how good practice is achieved. Composition, role and responsibilities. Examples of referrals. 09:15 Development Safety Update Reports (DSURs): Regulatory requirements, exploring good practice, report format, reference safety information, schedule of submission, analysis evaluations and distribution. 10:00 Periodic Safety Update Reports (PSURs)/Periodic Benefit Risk Evaluation Reports (PBRERs) Regulatory requirements, exploring good practice, report format, reference safety information, schedule of submission, analysis evaluations and distribution. 10:30 Break 11:00 Periodic Safety Update Reports (PSURs)/Periodic Benefit Risk Evaluation Reports (PBRERs) Regulatory requirements, exploring good practice, report format, reference safety information, schedule of submission, analysis evaluations and distribution. 12:00 Workshop 6 and Feedback To explore the compilation and submission of the PSUR. 13:00 Lunch 13:30 Role of the QPPV Exploration of the legal responsibilities of the QPPV and the MAH. 14:30 Break 15:00 Workshop 7 and Feedback To explore the challenges faced by the QPPV. 15:30 End of course Extra Information Face-to-Face Course Course material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device< Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking You will need a stable internet connection, a microphone and a webcam. CPD Points 23 Points   Development Level Develop

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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