Master the basics of data analysis in Python. Expand your data science skill set by learning scientific computing with numpy.
Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0.
Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
This course will equip you with all the skills you need to clean your data in Python.
Learn to train and assess models performing common machine learning tasks such as classification, regression and clustering.
Learn to explore your data so you can properly clean and prepare it for analysis.
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Learn to visualize multivariate datasets using lattice plotting.
Learn how to make predictions about the future using time series forecasting in R.