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Kelvin Fosu
Passionate business development tutor
13,390
Learners
4
Courses
25
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IT
Teaching & Academics
Business
2+
Teaching on Alison since Aug 2021
Kelvin Kobina Fosu is a humanitarian and a level 1 Google-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 a...
🏆 Top Course by this Course Creator
Master the Pandas Library in Python Programming
4,603 Learners already enrolled
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Free Online Courses by Kelvin Fosu
Fundamental Illustrations in Adobe Illustrator
6-10 hrs 5,424 learners
By Kelvin Fosu
You Will Learn How To

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
Beginner Level
Adobe
Fundamental Illustrations in Adobe Illustrator
6-10 hrs
5424 enrolled
Master the Pandas Library in Python Programming
1.5-3 hrs 4,603 learners
By Kelvin Fosu
You Will Learn How To

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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CERTIFICATE
Beginner Level
Programming
Master the Pandas Library in Python Programming
1.5-3 hrs
4603 enrolled
Understanding Python Sentiment Analysis Methodology
1.5-3 hrs 1,693 learners
By Kelvin Fosu
You Will Learn How To

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
Beginner Level
Programming
Understanding Python Sentiment Analysis Methodology
1.5-3 hrs
1693 enrolled
An Introduction to NumPy Library for Python
1.5-3 hrs 1,670 learners
By Kelvin Fosu
You Will Learn How To

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
  • Distinguish between axis 0 and axis 1 in NumPy
  • Compute the mathematical functions in NumPy
course logo
CERTIFICATE
Beginner Level
Programming
An Introduction to NumPy Library for Python
1.5-3 hrs
1670 enrolled
Showing 1 - 4 of 4
Learner Reviews & Feedback For
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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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Nadine Police Pull up G.
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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