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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Manufacturing & Industrial Processing, Machine Learning & Artificial Intelligence, Data Science & Predictive Analytics, Energy & Power Plant Optimization, Industrial Automation & Smart Factories Machine Learning Applied to Manufacturing Processing

In this course, you are going to learn how to develop a machine learning project to solve real-world problems that you can find in the manufacturing area. You will learn the more practical and useful algorithms that can help you to do predictions and work with big data.

Provider
Udemy
Target
Manufacturing & Industrial Processing, Machine Learning & Artificial Intelligence, Data Science & Predictive Analytics, Energy & Power Plant Optimization, Industrial Automation & Smart Factories
Method
Hands-on project-based learning, step-by-step coding explanations, real-world case study on power plant optimization, practical data analysis exercises
Certification
Certificate of completion
Duration
2.5 Hours
Assessment
Yes
Cost
Paid (with potential discounts)

Learning Outcomes

  • Apply machine learning techniques to real-world manufacturing problems.
  • Understand supervised and unsupervised learning approaches.
  • Learn how to train a machine learning model for predictive analysis.
  • Gain insights into manufacturing processes and production measurements.
  • Learn to apply machine learning to power plant optimization.
  • Work with real-world datasets and develop data-driven reports.
  • Use Python libraries for machine learning.

Learning Content

  • Introduction to Manufacturing processes
  • Introduction to Machine Learning
  • Explanation of the study case
  • Data exploration of the study case
  • Machine learning models applied to study case
  • Building a report with the insights of data analysis


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Data Analytics & Business Intelligence, Data Science & Visualization, ETL (Extract, Transform, Load) & Data Preparation, Finance, Healthcare, Marketing, and Operations Analytics Cleaning, Transforming and Prepping Your Data With Tableau Prep

Tableau Prep is a visual data preparation tool that allows you to get to data analysis faster by enabling the quick cleaning, reshaping, and prepping of data using the same drag and drop paradigm as Tableau Desktop. This course shows exactly how to use Tableau Prep for data preparation.

Provider
LinkedIn
Target
Data Analytics & Business Intelligence, Data Science & Visualization, ETL (Extract, Transform, Load) & Data Preparation, Finance, Healthcare, Marketing, and Operations Analytics
Method
Hands-on, project-based learning, step-by-step demonstrations using Tableau Prep, real-world data preparation scenarios
Certification
Certificate of Completion available
Duration
2.5 Hours
Assessment
Yes
Cost
Paid (with potential discounts)

Learning Outcomes

  • Learn how to clean, transform, and prepare data for visualization using Tableau Prep.
  • Connect to multiple data sources and combine them using joins and unions.
  • Apply filtering, splitting, renaming, and reshaping techniques to datasets.
  • Pivot wide data into tall formats preferred by Tableau Desktop.
  • Adjust sampling sizes and preview data before analysis.
  • Export and share cleaned datasets with Tableau Desktop.
  • Understand best practices in data transformation and ETL workflows.

Learning Content

  • Introduction to Tableau Prep and its interface
  • Connecting and integrating multiple data sources
  • Data cleaning techniques (filtering, splitting, renaming)
  • Joining and pivoting data for Tableau compatibility
  • Sampling, output generation, and real-world case studies
  • Example flows to automate data preparation


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Data Analysis, Business Intelligence, Data Science Understanding Data Visualization

This course provides a comprehensive overview of data visualization concepts, helping learners understand how to effectively communicate insights through visual representations of data.

Provider
DataCamp
Offered By
DataCamp Experts
Target
Data Analysis, Business Intelligence, Data Science
Method
Interactive lessons, practical examples, quizzes
Certification
Yes (Certificate of Completion)
Duration
Self-paced
Assessment
Hands-on exercises, quizzes
Cost
Subscription-based

Learning Outcomes

  • Develop foundational knowledge of data visualization principles
  • Choose appropriate charts
  • Explore interactive visualizations
  • Interpret data insights visually

Learning Content

  • Introduction to Data Visualization
  • Choosing Effective Visual Elements
  • Understanding Data Context
  • Avoiding Visualization Pitfalls
  • Creating Interactive Dashboards


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Data Science, Machine Learning, Statistical Analysis Machine Learning and Statistical Modeling with R

This course provides a hands-on approach to mastering machine learning techniques and statistical modeling using the R programming language. Learners will gain practical skills in data analysis, predictive modeling, and building machine learning models.

Provider
Udemy
Offered By
Experts in Data Science and R Programming
Target
Data Science, Machine Learning, Statistical Analysis
Method
Practical examples, real-world case studies, coding exercises
Certification
Yes (Certificate of Completion)
Duration
Self-paced
Assessment
Hands-on projects, quizzes
Cost
Paid (with occasional discounts)

Learning Outcomes

  • Understand key statistical modeling concepts
  • Build machine learning models in R
  • Apply predictive analytics
  • Visualize data effectively

Learning Content

  • Introduction to R for Data Science
  • Exploratory Data Analysis
  • Statistical Modeling Basics
  • Machine Learning Algorithms (Regression, Classification)
  • Model Evaluation Techniques


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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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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

Learn More

CourseCleaning, Transforming and Prepping Your Data With Tableau Prep

Target Group
Mid Level Employee

Level
Extended Know-How

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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

Learn More

CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Senior Employee

Level
Extended Know-How

Learn More

CourseCleaning, Transforming and Prepping Your Data With Tableau Prep

Target Group
Junior (Fresh Employee)

Level
Awareness

Learn More

CourseMachine Learning and Statistical Modeling with R Examples

Target Group
Mid Level Employee

Level
Foundations

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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

Learn More

CourseMachine Learning and Statistical Modeling with R Examples

Target Group
Junior (Fresh Employee)

Level
Awareness

Learn More

CourseMachine Learning Applied to Manufacturing Processing

Target Group
Junior (Fresh 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

Learn More

CourseTechniques for Using Data and Statistics

Target Group
Junior (Fresh Employee)

Level
Foundations

Learn More

CourseThe Data Science Course: Complete Data Science Bootcamp 2024

Target Group
Junior (Fresh Employee)

Level
Awareness

Learn More

CoursePharmaceutical Industry: Drug Regulatory Affairs (DRA) Pharma

Target Group
Mid Level Employee

Level
Foundations

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

CourseCleaning, Transforming and Prepping Your Data With Tableau Prep

Target Group
Junior (Fresh Employee)

Level
Awareness

Learn More

CourseUnderstanding Data Visualization

Target Group
Junior (Fresh Employee)

Level
Foundations

Learn More