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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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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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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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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