Data Visualization
Showing 61–72 of 132 results
Excel Logic Function Playbook
Make sure you’re not reinventing the wheel in your Excel spreadsheets. Logic functions are at the core of automating your work and keeping things up to date. Learn by example how to write and debug the AND, OR, NOT, IF, IFS, and IFERROR functions.
Excel Statistics and Finance Function Playbook
Save time and reduce errors by using the right functions in Excel. Statistics and finance functions can help you make quick work of reports and evaluations. Learn by example how to use the SUMIFS, AVERAGEIFS, COUNTIFS, NPV, FV, and PV functions.
Financial Modeling in Excel
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Fundamentals of Data Storytelling
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.
Geospatial Mapping with D3 v5
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.
Getting Started with Power BI for Business Professionals
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.
Google Sheets – Advanced Topics
This course builds on some of the concepts covered in the earlier Google Sheets course.
HarvardX: Data Science: Capstone
Show what you've learned from the Professional Certificate Program in Data Science.
HarvardX: Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
HarvardX: Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
IBM: Analyzing Data with Python
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!
IBM: Data Science and Machine Learning Capstone Project
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.