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Free Online Courses from the Kelvin Fosu
Kelvin Fosu
Passionate business development tutor
16,190
de estudiantes
4
Cursos
52
Beneficiados
Teaching & Academics
Business
Information Technology (IT)
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Imparte cursos en Alison desde Jun, 2020
Kelvin Kobina Fosu is a humanitarian and Adobe Creative certified educator. He completed his Bachelor's Degree of Fine Arts from Kwame Nkrumah University of Science and Technology in Ghana, majoring in painting. He then took a certification course on Computer Science Principles using App Inventor and one in Business Strategies for a Better World. He has an overarching goal of putting people and the planet over profit, and he believes in using intuitive tools for education and experiential learning.

Kelvin worked as a STEAM (Science, Technology, Engineering, Arts and Mathematics) programs manager for the Girls Education Initiative of Ghana (GEIG). He developed the STEAM curriculum for students and assisted four in gaining web development scholarships at ...
Curso destacado de este creador de cursos
Fundamental Illustrations in Adobe Illustrator
6,430Estudiantes ya inscritos
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Cursos en línea gratuitos por Kelvin Fosu
Fundamental Illustrations in Adobe Illustrator
6-10 horas 6,430 estudiantes
By Kelvin Fosu
Aprenderás Cómo

Upon completion of this course, you will be able to:

  • Explain the function of the smart guide
  • Use the Pathfinder tool
  • Recall the function of layers in Adobe Illustrator
  • Manipulate shapes and objects in Adobe Illustrator
  • Use the Shape Builder tool
  • List various keyboard shortcuts to quickly access different tools quickly
  • Create stickers and emojis
  • Develop superheroes using Adobe Illustrator
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CERTIFICATE
Nivel principiante
Adobe
Fundamental Illustrations in Adobe Illustrator
6-10 horas
6430 inscrito
Master the Pandas Library in Python Programming
1.5-3 horas 5,521 estudiantes
By Kelvin Fosu
Aprenderás Cómo

Upon successful completion of this course, you will be able to:

  • Describe Pandas download and installation
  • List the various applications of Python
  • Outline Pandas basics
  • Discuss Pandas dataFrame
  • Recall Pandas profiling and datatypes
  • Explain Pandas methods
  • Describe Pandas comparison operator method
  • Outline Pandas indexing a dataset
  • Recognize Pandas columns
  • Contrast Pandas insert columns to drop columns
  • Explain the Pandas isnull function
  • Recall Pandas rename columns
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Nivel principiante
Programming
Master the Pandas Library in Python Programming
1.5-3 horas
5521 inscrito
Understanding Python Sentiment Analysis Methodology
1.5-3 horas 2,126 estudiantes
By Kelvin Fosu
Aprenderás Cómo

By the end of this course, you will be able to:

  • Discuss sentiment analysis
  • Describe the Python download and installation process
  • Define polarity and subjectivity
  • Explain the use of TextBlobs
  • Contrast lemmatization to tokenization
  • Discuss the POS Tag language
  • Explain bigrams, trigrams and Ngrams
  • List the various Anaconda applications
  • Summarize capitalizations, pluralizations and singularizations
  • Describe TextBlob classification
  • Outline loops in Ngrams
  • Relate data frame to the classification of sentiments
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CERTIFICATE
Nivel principiante
Programming
Understanding Python Sentiment Analysis Methodology
1.5-3 horas
2126 inscrito
An Introduction to NumPy Library for Python
1.5-3 horas 2,103 estudiantes
By Kelvin Fosu
Aprenderás Cómo

By the end of this course, you will be able to:

  • Recall what an array object in NumPy is
  • Evaluate the examples of range parameters
  • Discuss NumPy dimensions and operations
  • List the examples of NumPy array properties
  • Describe the examples of methods used for scientific computing in NumPy
  • Explain the NumPy random choice method
  • Compute the mathematical functions in NumPy
  • Distinguish between axis 0 and axis 1 in NumPy
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CERTIFICATE
Nivel avanzado
Programming
An Introduction to NumPy Library for Python
1.5-3 horas
2103 inscrito
Mostrando 1 - 4 of 4
Reseñas y comentarios de los estudiantes sobre
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Emmanuel B.
I really enjoyed rolling this course. And one other thing I love about the course is the course assessment at the end of the course. It's really good.
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Miss Zaharma Meirley D.
This course teaches me about the various applications you find in Python• Summarize Pandas profiling and Pandas datatypes• Explain the various Pandas methods.
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