Course Content

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Level 1

  • Fundamentals on Python Programming
  • Applying on Descriptive statistics

Level 2

  • Regression
  • Mini Project on Real Dataset

Level 3

  • Classification
  • Mini Project on Real Dataset

Level 4

  • Clustering
  • Mini Project on Real Dataset

Level 1

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Python Programming 1 (24 Hours)

Level 2

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Python Programming 2 (24 Hours)

Level 3

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Data Analysis 1 (24 Hours)

Level 4

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Data Analysis 2 (24 Hours)

Level 5

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Machine Learning 1 (24 Hours)

Level 6

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Machine Learning 2 (24 Hours)

Level 7

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Deep Learning 1 (24 Hours)

Why Choose us?

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All Sessions are Recorded

We send Lecture Materials & Reord Link after each session

You will get a Certificate from Arabistat

About Instructor

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Dr. Mariam Metawe'e Data Scientist

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  • Academic & Practical Experience in 2 Majors (Veterinary Medicine & Data Science)
  • Over 10 Years of Experience in Data Analysis of Biological Data
  • More than 1000 Hours of Teaching Data Science (Programming using Python or R, Statistics & Machine Learning)

Education

Statistics

  • PhD in Statistics (in progres)
  • Master Degree in Statistics
  • 2 years Diploma in Mathematics and Statistics

Programming

  • Machine Learning with Python (Best Developer at ElectroPI)
  • Certified Data Analysis using Python from DataCamp
  • R Programming in FGSSR

Medicine

  • Master Degree in Experimental Medicine and Drug Design
  • Diploma in Experimental Medicine
  • Bachelor Degree in Veterinary Medicine

Who should enroll in this program?

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Individuals who are interested in enhancing their Programming Skills and leveraging Python for Data Analysis, Machine Learning, .....

Data Analysts

Data Scientists

Business Analysts

Researchers

Software Developers

Students

Professionals Seeking Career Advancement

Individuals who are interested in enhancing their Programming Skills and leveraging Python for Data Analysis, Machine Learning, .....

Data Analysts

Data Scientists

Business Analysts

Researchers

Software Developers

Students

Professionals Seeking Career Advancement