You are here

Data Science

Featured in 

Up your Python and data science game with the core tools used by data science professionals everywhere. In this course, we'll use tools like pandas, NumPy and matplotlib to dig into data and find new insights. We'll learn about how to use DataFrames, a powerful framework for data management, from the pandas library to quickly perform Excel-like analytics programmatically.

Monday, October 22, 2018 - 9:30am
Featured in 

The main idea of this workshop is to learn how to apply Python libraries Pandas and Matplotlib for real-life tasks. With this course, you will learn about the tools you need to successfully collect, analyze data and manipulate Data. You will learn all fundamentals to start using Python for Data Science. You will explore the various techniques used in solving complex problems commonly faced in data analysis with Python. Also, we will cover how to use Python Data Analysis libraries and tools, including Matplotlib, NumPy, and Pandas to solve real-world business and financial problems.

Monday, October 29, 2018 - 6:00pm
Featured in 

The main idea of this workshop is to learn how to apply Python libraries Pandas and Matplotlib for real-life tasks. With this course, you will learn about the tools you need to successfully collect, analyze data and manipulate Data. You will learn all fundamentals to start using Python for Data Science. You will explore the various techniques used in solving complex problems commonly faced in data analysis with Python. Also, we will cover how to use Python Data Analysis libraries and tools, including Matplotlib, NumPy, and Pandas to solve real-world business and financial problems.

Monday, October 15, 2018 - 6:00pm
Featured in 

This class will introduce you a wide range of machine learning tools in Python. The main focus is on how to use those tools to solve real world problems. Machine learning is a combination of statistical models with programming. After successful completion of this course, students will be able to carry out your experiments with the public available algorithms or develop your own algorithm.

Sunday, October 28, 2018 - 1:00pm
Featured in 

This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We cover the most popular modules, including Numpy, Scipy, Pandas, matplotlib, and Seaborn, to do data analytics and visualization. We use Ipython notebook to demonstrate the results of codes and change codes interactively during the class. Our past students include people have no programming experience and people have little exposure by taking Python class.

Sunday, October 28, 2018 - 1:00pm
Featured in 

This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Nave Bayes models, tree models, and SVMs as well as the Association Rule for analysis.

Saturday, October 27, 2018 - 10:00am
Featured in 

This intensive class will introduce you to the wonderful world of R and provide you with an excellent understanding of the language that leaves you with a firm foundation to build upon. From the rudimentary building blocks of programming basics, to data manipulation and use of advanced drawing packages, the course will conclude with a demonstration of a project of your choice on Project Demo Day. For Demo Day you will access and analyze real data, utilizing the tools and skill set taught to you throughout the course.

Saturday, October 27, 2018 - 10:00am
Featured in 

Our program serves as the foundation for many well-known concepts of data science. We teach practical techniques and algorithms for extracting and studying useful knowledge from data. This course is not a theory class as we believe there are many ways to learn statistics and analytics concepts on your own. We are providing students with a set of practical tools for data science and knowledge on how to apply Python to solve linear algebra, statistics, and probability problems. This course is designed to fill the gap between theoretical academic research and the needs of the industry.

Tuesday, October 9, 2018 - 11:00am
Featured in 

Our program serves as the foundation for many well-known concepts of data science. We teach practical techniques and algorithms for extracting and studying useful knowledge from data. This course is not a theory class as we believe there are many ways to learn statistics and analytics concepts on your own. We are providing students with a set of practical tools for data science and knowledge on how to apply Python to solve linear algebra, statistics, and probability problems. This course is designed to fill the gap between theoretical academic research and the needs of the industry.

Saturday, October 6, 2018 - 10:00am
Featured in 

This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Nave Bayes models, tree models, and SVMs as well as the Association Rule for analysis.

Saturday, October 27, 2018 - 10:00am

Pages