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100-days-of-data-science's Introduction

100 Days of Data Science code.

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If you would love to have the doc of the curriculum and a breakdown of each topic kindly book a career call with me https://www.buymeacoffee.com/emekaboris/e/25186 or send me an email to [email protected] using the Subject "100daysofdscode"

Hi Folks

100 days ds code is a program which aims to grow aspiring Data Scientist from Zero to World Class. It is a one-hour everyday course which promotes the diversity and inclusion vision on teaching Data Science with advanced information and techniques to solve the global challenges and emerging problems, projects and tutorials are student-centric with intellectual and well-experienced instructors. Our syllabus is derived from Siraj Raval Video Content on Learn Data Science in 3 months

Aim: At the end of this code challenge you will be able to

  • Grow from Zero to Hero in Data Science
  • Grow from Zero to Hero in Machine Learning
  • Master the major libraries and algorithms use for machine learning and Data science
  • Participate in a Kaggle and Zindi.Africa competition
  • Learning Hadoop and Apache Spark
  • Analytics Storytelling.
  • Database
  • Web Scraping

P.S This challenge is originally made for Novice and intermediate inspired by Data ScienceNigeria,Siraj Raval, Kaggle, Zindi.Africa and Emeka Boris Ama

Why you should join us

Grow from zero to hero and become an expert in the domain and also certificate will be offered to you on completion of the program with autograph of amazing top contributors to the ecosystem

Who is the challenge made for?

  • Beginners, and
  • Intermediate in Data Science

Timeframe = 1hours every day and 5 days in a week

This Program is brought to you by DataKnight

Support or become a patreon and recieve awesome gift from Africa Data Scientist

Click here to become a patreon

Disclaimer

  • This curriculum will be updated regularly.

List of people who has reviewed this Curriculum will be uploaded shortly

Mat Leonard- Ex Udacity Lead, School of Data

100-days-of-data-science's People

Contributors

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