Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Use the very popular ggplot2 visualization library and learn how to fine tune your charts. Special emphasis is put on color palettes, axes and scales, as well as plot themes.

The course will teach you how to organize your data and present it in a compelling narrative format to engage your stakeholders, such that they are able to understand the insights within the data and take action based on your recommendations.

Learn how to create interactive geospatial visualizations that run on all popular browsers. This course will teach you how to use the D3 library to render maps using openly available data, and draw beautiful visualizations on top of them.

The aim of this course is to provide the business professional with the skills and knowledge to enable them to turn raw data into powerful visual reports by way of practical and relatable examples.

This course builds on some of the concepts covered in the earlier Google Sheets course.

Show what you've learned from the Professional Certificate Program in Data Science.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Learn basic data visualization principles and how to apply them using ggplot2.

In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.

Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps