Pharma

Pharmaceutical Process Optimization Data Analyst

A Pharmaceutical Process Optimization Data Analyst focuses on optimizing processes and enhancing operational efficiency by leveraging data analytics. The role involves collecting, analyzing,

and interpreting data from various stages of the pharma manufacturing process to provide actionable insights, improve decision-making, and ensure compliance with industry standards.

All training courses

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
Location
Online
Duration
Approximately 1 Hour
Cost
Free
Date
Ongoing

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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Data collection & preparation
Ability to systematically gather data from various pharmaceutical manufacturing sources & clean, normalize & structure it for analysis.

CourseStatistical Decision Making in Data Science with Case Study

Target Group
Junior (Fresh Employee)

Level
Awareness

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CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Senior Employee

Level
Awareness

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Data analytics to improve decision-making & processes
Capability to apply statistical methods & tools to analyze & interpret large & complex data sets, uncovering trends, patterns & insights that can drive decision-making & process improvements.

CourseStatistical Decision Making in Data Science with Case Study

Target Group
Junior (Fresh Employee)

Level
Extended Know-How

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CourseTechniques for Using Data and Statistics

Target Group
Mid Level Employee

Level
Extended Know-How

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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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Development of predictive models through machine learning
Knowledge about various machine learning algorithms & predictive modeling techniques to develop & validate models that can predict outcomes & optimize the manufacturing process.

CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Senior Employee

Level
Extended Know-How

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Data visualization
Creation of visual representations of data such as charts, graphs & dashboards to make complex data easily understandable & actionable for stakeholders.

CourseStatistical Decision Making in Data Science with Case Study

Target Group
Junior (Fresh Employee)

Level
Awareness

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CourseTechniques for Using Data and Statistics

Target Group
Junior (Fresh Employee)

Level
Foundations

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CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Junior (Fresh Employee)

Level
Awareness

Learn More