Upcoming Course
Schedule

Feb 18, 2019 - Apr 15, 2019
Machine Learning Complete
Feb 23, 2019 - Mar 23, 2019
Introduction to Data Science

Introduction to Data Science

Starts Feb 23, 2019
4 weeks: 1pm - 5pm, Sat
10,000,000 VND

Your Teachers

CLASS DESCRIPTION

This course will introduce the main concepts and tools necessary for you to use data effectively. A strong understanding and control of data is a benefit for every job, whether you're a dentist or a business analyst. Data is the language of the 21st century - learn to speak it in just 4 weeks with CoderSchool's hands-on, practical course.

REQUIREMENTS

This course is suitable for anyone with basic computer literacy. No prior experience is required. Data is for everyone.

Detailed Timeline

1

Week 1 Working with Data

Understanding the stages of the data science process

Introduction to Python

Airline Satisfaction Survey

2

Week 2 Plots and Types of Data

Matplotlib and Seaborn

Types of Plots and Interactive Plots

Analyzing Correlations in Student Performance

3

Week 3 Data Processing Pt 1

Converting between types of data

Grouping Data Series

Medical Data Analysis

4

Week 4 Data Processing Pt 2

Feature Analysis

Basic SQL

Final Project

Detailed Course Schedule

Course Time Teacher
Introduction to Data Science23 Feb - 23 Mar1pm - 5pm, SatDo Hai MinhApply NowDiscount 15%
Machine Learning Complete18 Feb - 15 Apr7 - 9pm, Mon & WedNguyen Duy KhanhApply NowDiscount 15%

Do none of these times work for you?

Machine Learning Complete

Starts Feb 18, 2019
8 Weeks: 7 - 9pm, Mon & Wed
23,000,000 VND

Your Teachers

CLASS DESCRIPTION

Machine Learning is one of the most exciting, interesting, and accessible careers to get into today. No experience is required - we’ll teach you everything you need to learn how to build predictive models for everything from stock prices to image recognition. This introductory 8-week course will cover the basics of Python, Pandas, and scikit-learn to teach you to analyze and make predictions for many different types of data.

REQUIREMENTS

Programming experience is helpful, but not necessary. The only requirements for this course are a laptop computer and a desire to learn. Expect workload to be roughly 10 hours of week.

Detailed Timeline

1

Weeks 1 Data and Regression

Python, pandas, numpy

Linear Regression, Multiple Linear Regression, Polynomial Regression

Project: E-Commerce Prediction

2

Weeks 3 Logistic Regression + Random Forests

Decision Trees, Logistic Regression

Natural Language Processing

MNIST Image Recognition

3

Weeks 5 Advanced Techniques

Naive Bayes, SVM, KNN

Cross Validation and GridSearch

Fraud Detection

4

Weeks 7/8 Unsupervised Learning

Principal Component Analysis

K-Means and Hierarchical Clustering

Final Project

Detailed Course Schedule

Course Time Teacher
Introduction to Data Science23 Feb - 23 Mar1pm - 5pm, SatDo Hai MinhApply NowDiscount 15%
Machine Learning Complete18 Feb - 15 Apr7 - 9pm, Mon & WedNguyen Duy KhanhApply NowDiscount 15%

Do none of these times work for you?

WHAT'S STOPPING YOU ?

Apply Now