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Data Science & AI
Software Development
Computer Science
Data Science & AI
Software Development
Computer science

Data Science – Intermediate Level

The continuation of DS Beginner level. You will learn more high-level techniques to apply to a data science project.

Difficulty

Learning outcomes

  • Better visualization skills.
  • Better analysis skills.
  • Ability to make research reproducible.
  • Ability to deal with larger dataset.
  • Skills to apply simple machine learning model in dataset

Requirements

  • Computer Science with Python
  • Data Science - Beginner Level

Upcoming Courses/Workshops

*The below course structure and cost is intended for individuals. To know the details of our course offering for companies, please contact us.

Register for a FREE Trial Class Register for a 1-on-1 class Course for companies

FEATURED MENTOR

Yoshi Truong

Head of AI Product Development
  • Machine Learning consultant and mentor at Tokyo Techies
  • 6+ years of experience working at software service development companies in Japan.
  • 3rd place Vietnam National Olympiad in Informatics 2011
  • Rank 27 at ACM/ICPC Asia Regional contest 2012
  • Champion at multiple Hackathons in Japan and Vietnam
Lesson 1

a. Dealing with large data storage

b. Practice exercises

Lesson 2

a. Advanced Visualization

  1. 3D plot
  2. Animated plot

b. Practice exercises

Lesson 3

a. Principal Component Analysis

b. Practice exercises

Lesson 4

a. Clustering

b. Practice exercises

Lesson 5

a. Reproducible research

b. Practice exercises

Lesson 6

Mini project:

a. Choose a Kaggle learning competition

Lesson 7

a. Introduction to Machine Learning

Lesson 8-11

a. Lesson 2-5 in ML Beginner

Lesson 12

Completion project

a. Update last Kaggle competition with Machine Learning

Recommended after this course

Machine Learning – Beginner Level

Learn basic programming with Python / R. Develop understanding of data structure. Gain skills to use regression model to predict continuous value.

Difficulty
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