SGLearn@Python for Data Science & Machine Learning Bootcamp

About SGLearn@Python for Data Science & Machine Learning Bootcamp

Welcome to the

SGLearn Series

targeted at

Singapore-based learners

picking up new skillsets and competencies. This course is an adaptation of the same course by Jose Marcial Portilla and is specially produced in collaboration with Jose for Singaporean learners. If you are a Singaporean, you are eligible for the CITREP+ funding scheme, terms and conditions apply. --------------- Note from Jose .... Are you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science! This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With

over 100 HD video lectures

and

detailed code notebooks for every lecture

this is one of the most comprehensive course for data science and machine learning on Udemy! We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

Programming with Python

NumPy with Python

Using pandas Data Frames to solve complex tasks

Use pandas to handle Excel Files

Web scraping with python

Connect Python to SQL

Use matplotlib and seaborn for data visualizations

Use plotly for interactive visualizations

Machine Learning with SciKit Learn, including:

Linear Regression

K Nearest Neighbors

K Means Clustering

Decision Trees

Random Forests

Natural Language Processing

Neural Nets and Deep Learning

Support Vector Machines

and much, much more! Enroll in the course and become a data scientist today!