Pharma

A Senior Scientist in Pharmaceutical Process Optimization

A Senior Scientist in Pharmaceutical Process Optimization is responsible for leading research and development efforts to  enhance manufacturing processes. This role involves designing and implementing experiments, analyzing complex data

and developing innovative solutions to improve product quality, efficiency, and compliance with industry standards. The  Senior Scientist collaborates with cross-functional teams and ensures that scientific insights are translated into practical  applications.

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Training courses by skill

Data Science Statistical Decision Making in Data Science with Case Study

This course is an introduction where you will learn about the importance of Statistics and Machine Learning in Decision Making. Through hands-on case studies, learners will understand how statistics is applied to data science problems like ANOVA, t-test, and F-test in Python.

Provider
Udemy
Method
Online
Duration
Approximately 1 Hour
Cost
Free
Date
Ongoing
Location
Online

Learning Outcomes

  • Understand how statistics is applied to data science problems, including ANOVA, t-test, and F-test in Python

Learning Content

  • Fundamentals of linear regression
  • Data preprocessing for regression
  • Implementing linear regression using Python
  • Evaluating model performance
  • Hypothesis testing
  • Correlation
  • R-Square
  • Case study: applying linear regression to a real-world dataset
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Data Science The Data Science Course - Complete Data Science Bootcamp 2024

This comprehensive bootcamp is designed to teach data science from scratch, covering essential topics such as statistics, Python programming, machine learning, data visualization, and deep learning. It equips learners with practical skills to apply data science techniques in real-world scenarios and gain a deep understanding of data-driven decision-making.

Provider
Udemy
Sector
Data Science, Machine Learning, Business Analytics, Artificial Intelligence
Area
Data Analysis, Machine Learning, Python Programming, Deep Learning, Data Visualization
Method
Online, self-paced with video lectures, coding exercises, and hands-on projects
Certification
Paid certificate
Duration
About 31h 46m total length (self-paced)
Assessment
Yes
Cost
Maximum of 60 EURO
Date
Available and updated from 8/2024

Learning Outcomes

  • Proficient in data analysis, machine learning, Python programming, and data visualization
  • Hands-on experience with real-world projects
  • Ability to tackle advanced data science problems

Learning Content

  • Introduction to Data Science
  • Fundamentals of Python Programming
  • Statistics and Probability for Data Science
  • Data Visualization with Matplotlib and Seaborn
  • Machine Learning and Data Mining
  • Deep Learning with TensorFlow
  • Data Preprocessing and Cleaning Techniques
  • Practical Projects and Case Studies
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Data Science Techniques for Using Data and Statistics

This course covers essential techniques for analyzing data and applying statistical methods effectively, providing learners with practical skills to interpret and present data.

Provider
Alison
Target
Healthcare professionals, data scientists, and anyone interested in applying data science to health-related fields
Sector
Data Analysis, Statistics
Area
Data Science
Method
Online
Certification
Free certificate available upon completion
Duration
1.5–3 Hours
Assessment
Yes
Cost
Free

Learning Outcomes

  • Apply various statistical techniques
  • Analyze data sets
  • Draw meaningful conclusions from data

Learning Content

  • Introduction to data and statistics
  • Descriptive and inferential statistics
  • Techniques for data analysis
  • Practical applications of statistical methods
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Leadership & Management, Project & Product Management, Organizational Development, Business Strategy & Operations Cross-Functional Collaboration Specialization

This course will equip you with the essential skills to become a successful leader who thrives in creating and managing effective cross-functional collaboration. You’ll learn how to build a culture of collaboration, handle inherent conflict with confidence, and influence effectively across complex organizational structures.

Provider
Coursera
Target
Leadership & Management, Project & Product Management, Organizational Development, Business Strategy & Operations
Method
Progressive "Crawl, Walk, Run" framework for structured learning, applied learning projects for hands-on collaboration strategies
Certification
Career Certificate from the University of Colorado System
Duration
Self-paced
Assessment
Yes
Cost
Paid (with potential discounts)

Learning Outcomes

  • Develop self-awareness and relational intelligence in leadership.
  • Learn how to listen, learn, and lead in a collaborative environment.
  • Gain strategic leadership skills for cross-functional team management.
  • Master conflict management and influencing skills in team dynamics.
  • Learn to facilitate and lead effective cross-functional collaboration.

Learning Content

  • Course 1: Fundamentals of Cross-Functional Collaboration (4 hours)
  • Course 2: Facilitating and Leading Cross-Functional Collaboration (9 hours)
  • Course 3: Mastering the Art of Cross-Functional Collaboration (3 hours)


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Business Analytics & Finance, Data Science & Predictive Modeling, Operations & Decision Science, Investment & Risk Analysis Fundamentals of Quantitative Modeling

Through a series of short lectures, demonstrations, and assignments, you’ll learn the key ideas and process of quantitative modeling so that you can begin to create your own models for your own business or enterprise. By the end of this course, you will have seen a variety of practical commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models.

Provider
Coursera
Target
Business Analytics & Finance, Data Science & Predictive Modeling, Operations & Decision Science, Investment & Risk Analysis
Method
Short video lectures, demonstrations, and real-world applications, practical assignments to apply quantitative modeling concepts
Certification
Yes
Duration
7 hours
Assessment
Yes
Cost
Paid (with potential discounts)

Learning Outcomes

  • Understand how to build and interpret quantitative models.
  • Learn how to analyze business data using statistical methods.
  • Apply regression models for predictive analytics and decision-making.
  • Gain business analysis and mathematical modeling skills.
  • Learn to incorporate uncertainty and probability into models.

Learning Content

  • Module 1: Introduction to models
  • Module 2: Linear Models and optimization
  • Module 3: Probabilistic model
  • Module 4: Regression model


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Quality Management & Process Improvement, Operational Excellence & Business Strategy, Manufacturing & Service Industry, Project & Process Management Quality Management for Operational Excellence

Maintaining your competitive advantage is always a work in progress. After all, the products, services, and processes of your business are constantly in flux. In this course, instructor Richard Chua shows you how to apply quality management tools and techniques for the design, control, and overall improvement of your organization’s products and service quality.

Provider
LinkedIn
Target
Quality Management & Process Improvement, Operational Excellence & Business Strategy, Manufacturing & Service Industry, Project & Process Management
Method
Practical strategies and real-world applications, case studies and industry best practices, project-based learning for hands-on application
Certification
Certificate of Completion
Duration
2.5 Hours
Assessment
Yes
Cost
Paid (with potential discounts)

Learning Outcomes

  • Apply quality management tools and techniques to improve business processes.
  • Understand the impact of quality on revenue, costs, and profitability.
  • Learn to design, control, and improve product and service quality.
  • Explore the Juran Trilogy – Quality Planning, Quality Control, and Quality Improvement.
  • Ensure that business outputs are free from deficiencies.
  • Develop skills to drive continuous improvement and operational excellence.

Learning Content

  • Quality Management Principles and their role in business success
  • Quality Planning, Control, and Improvement
  • Techniques for eliminating deficiencies in products and services
  • Strategies for maintaining competitive advantage through quality excellence


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Business Process Improvement, Quality Management & Operational Excellence, Project Management & Lean Six Sigma, Manufacturing & Service Industry Process Improvement Foundations

The objective of management is to make improvements—not only to products and services but also to entire processes. The difficult thing is to know what needs improving, and then whether your interventions have made a positive difference. This course provides an overview of the basic tools used for process improvement, such as statistical process control, and how to use these tools to improve the three most critical aspects of your business process: time, quality, and cost.

Provider
LinkedIn
Target
Business Process Improvement, Quality Management & Operational Excellence, Project Management & Lean Six Sigma, Manufacturing & Service Industry
Method
Practical strategies for process improvement, step-by-step explanations of statistical tools and methodologies
Certification
Certificate of Completion
Duration
1.5 Hours
Assessment
Yes
Cost
Paid (with potential discounts)

Learning Outcomes

  • Understand how to identify areas for process improvement.
  • Learn how to measure and analyze business processes using statistical tools.
  • Apply Lean and Six Sigma principles to improve efficiency.

Learning Content

  • Introduction to Process Improvement and its importance in business success
  • Core process improvement frameworks: Lean, Six Sigma, and Statistical Process Control (SPC)
  • Measuring performance metrics to assess business efficiency
  • Techniques for reducing waste, improving quality, and optimizing costs


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Software Development, Computer Science, Programming Learn Coding with C and Python

This course teaches the fundamentals of coding using C and Python programming languages. It is designed for beginners who want to learn programming from scratch, covering the basics to more advanced concepts.

Provider
Udemy
Offered By
Independent Instructor
Target
Software Development, Computer Science, Programming
Method
Video lectures, coding exercises, quizzes, and hands-on projects
Certification
Yes (Certificate upon completion)
Duration
Self-paced
Assessment
Quizzes, coding challenges, and final projects
Cost
Paid (with occasional discounts)

Learning Outcomes

  • Understand the syntax and structure of C and Python.
  • Write basic and advanced programs.
  • Implement algorithms and solve coding problems.

Learning Content

  • Introduction to Programming
  • Basics of C Language
  • Control Statements
  • Functions and Arrays
  • Pointers and Memory Management
  • Object-Oriented Programming in Python
  • File Handling
  • Error and Exception Handling
  • Projects and Practice Exercises


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Software Development, Version Control, DevOps GitHub Skills

GitHub Skills offers interactive, hands-on training modules to help users learn GitHub and related development tools. It covers a range of topics from basic version control to advanced CI/CD workflows.

Provider
GitHub
Target
Software Development, Version Control, DevOps
Method
Interactive tutorials, hands-on labs, guided exercises within GitHub repositories
Certification
No official certificate, but users can showcase completed modules on their GitHub profile
Duration
Self-paced
Assessment
Practical exercises and real-world projects
Cost
Free

Learning Outcomes

  • Master GitHub workflows.
  • Understand version control.
  • Collaborate on open-source projects.
  • Automate tasks with GitHub Actions.
  • Deploy applications directly from repositories.

Learning Content

  • Introduction to GitHub
  • Version Control with Git
  • Collaboration and Pull Requests
  • GitHub Pages
  • GitHub Actions (CI/CD)
  • Security and Code Reviews
  • Project Management with Issues and Projects
  • Open Source Contribution


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Pharmaceutical Industry, Regulatory Affairs, Drug Development Pharmaceutical Industry: Drug Regulatory Affairs (DRA) Pharma

This course provides a comprehensive understanding of drug regulatory affairs in the pharmaceutical industry, covering drug development, approval processes, and global regulations.

Provider
Udemy
Target
Pharmaceutical Industry, Regulatory Affairs, Drug Development
Method
Video lectures, case studies, real-world examples, quizzes
Certification
Certificate of completion from Udemy
Duration
Self-paced
Assessment
Quizzes and case-based assessments
Cost
Paid (with potential discounts)

Learning Outcomes

  • Understand the role of regulatory affairs
  • Learn global regulatory guidelines (FDA, EMA, ICH)
  • Navigate the drug approval process
  • Comply with Good Manufacturing Practices (GMP)

Learning Content

  • Introduction to Drug Regulatory Affairs
  • Drug Development Process
  • Regulatory Agencies and Their Roles
  • IND and NDA Applications
  • Generic Drug Approvals (ANDA)
  • GMP and Compliance
  • Post-Marketing Surveillance
  • Global Regulatory Guidelines


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Experimental design & implementation
Expertise in designing & conducting complex experiments to investigate process variables & their impacts on product quality & efficiency.

CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Junior (Fresh Employee)

Level
Awareness

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Process monitoring & quality control
In-depth understanding of process monitoring & control techniques to ensure consistent product quality & adherence to specifications.

CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Junior (Fresh Employee)

Level
Awareness

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CourseProcess control(Quality Management for Operational Excellence)

Target Group
Mid Level Employee

Level
Extended Know-How

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CourseProcess Improvement Foundations

Target Group
Junior (Fresh Employee)

Level
Awareness

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Advanced data analysis
Ability to apply advanced data analysis techniques, including multivariate analysis & statistical modeling, to derive actionable insights from experimental data.

CourseTechniques for Using Data and Statistics

Target Group
Junior (Fresh Employee)

Level
Foundation

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CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Senior Employee

Level
Extended Know-How

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CourseFundamentals of Quantitative Modeling

Target Group
Mid Level Employee

Level
Foundations

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Process & quality optimization
Capability to identify process inefficiencies & develop innovative solutions to improve manufacturing processes & product quality.

CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Junior (Fresh Employee)

Level
Awareness

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CourseCross-Functional Collaboration Specialization

Target Group
Mid Level Employee

Level
Foundations

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Regulatory standards compliance for the pharma industry
Comprehensive knowledge of regulatory requirements & standards in the pharmaceutical industry to ensure all processes & products are compliant.

CoursePharmaceutical Industry: Drug Regulatory Affairs (DRA) Pharma

Target Group
Mid Level Employee

Level
Foundations

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Process & quality optimization
Capability to identify process inefficiencies & develop innovative solutions to improve manufacturing processes & product quality.

CourseProcess control(Quality Management for Operational Excellence)

Target Group
Junior (Fresh Employee)

Level
Foundations

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CourseProcess Improvement Foundations

Target Group
Junior (Fresh Employee)

Level
Extended Know-How

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Proggramming skills
Basic understanding of proggramming skills such as C++, for data analysis, process modeling, and process optimization.

CourseLearn Coding: C++ & Python

Target Group
Mid Level Employee

Level
Foundations

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GitHub
Experience with GitHub for code management, collaboration, and maintaining reproducible workflows.

CourseGitHub Skills

Target Group
Mid Level Employee

Level
Extended Know-How

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