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Python for Data Science 

  • Offered byUDEMY

Python for Data Science
 at 
UDEMY 
Overview

Data Visualization | Data Analysis | NumPy | Machine Learning | Pandas | Data Pipelines | Methodologies |Python Notebook

Duration

9 hours

Total fee

389

Mode of learning

Online

Credential

Certificate

Python for Data Science
 at 
UDEMY 
Highlights

  • Earn a certificate after completion of the course
  • 30-Day Money-Back Guarantee
  • Full lifetime access
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Python for Data Science
 at 
UDEMY 
Course details

Who should do this course?
  • New Python developers looking to quickly develop and keen understanding of the power of Python
  • Early stage users of Python who need to use Python in serious, enterprise level applications
  • Individuals who are familiar with data science and need to understand the optimal uses for Python
What are the course deliverables?
  • Explain machine learning and its technologies
  • Discuss and apply Python fundamentals
  • Understand the NumPy package
  • Use data analysis using Pandas and data visualization
  • Implement supervised (regression and classification) & unsupervised (clustering) machine learning
  • Use various analysis and visualization tools associated with Python, such as Matplotlib, Seaborn etc.
  • Describe the behavior of data in Python models
More about this course
  • This course is led by a seasoned technology industry practitioner and executive with many years of hands-on, in-the-trenches data science, artificial intelligence, and data analytics work
  • It has been designed, produced, and delivered by Starweaver
  • Starweaver is one of the most highly regarded, well-established training providers in the World, providing training courses to many of the leading financial institutions and technology companies

Python for Data Science
 at 
UDEMY 
Curriculum

Introduction to Machine Learning and It’s Technologies

Python Fundamentals & NumPy Package

Data Analysis using Pandas and Data Visualization

Faculty Icon

Python for Data Science
 at 
UDEMY 
Faculty details

Paul Siegel
Paul Siegel have been creating live and recorded courses for many years, and have a great team of instructors who deliver excellent content All of these instructors are former (or current) practitioners, so what you will learn is designed and created with real world applications in mind

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Python for Data Science
 at 
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