The 5 Best Udacity Nanodegrees for Data Analytics & Visualization in 2023

A directory of the best Udacity Nanodegree programs for data analytics and visualization, compiled by the editors at Solutions Review.

Data analytics is a data science. The purpose of data analytics is to generate insights from data by connecting patterns and trends with organizational goals. Comparing data assets against organizational hypotheses is a common use case of data analytics, and the practice tends to be focused on business and strategy. Data analytics deals less in AI, machine learning, and predictive modeling, and more with viewing historical data in context.

With this in mind, the editors at Solutions Review have compiled this list of the best Udacity Nanodegrees for data analytics and visualization. Udacity is perfect for those looking to take multiple courses or acquire skills in multiple different areas, or for those who want the most in-depth experience possible through access to entire course libraries or learning paths. In sum, Udacity is home to more than 160,000 students in more than 190 countries.

Note: The best Udacity Nanodegrees for data analytics and visualization are listed in alphabetical order.

The Best Udacity Nanodegrees for Data Analytics and Visualization

TITLE: Become a Data Analyst Nanodegree

OUR TAKE: This nanodegree provides foundational skills applicable to any industry, doesn’t require any prerequisites, and should take about 4 months to complete.

Description: Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data. You should have experience working with Python (specifically NumPy and Pandas) and SQL.

TITLE: Business Analytics Nanodegree

OUR TAKE: This nanodegree provides foundational skills applicable to any industry, doesn’t require any prerequisites, and should take about 3 months to complete.

Description: In this program, you’ll learn foundational data skills that apply across functions and industries. You’ll learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau. This is an introductory program and has no prerequisites. In order to succeed, Udacity recommends having experience using a computer and being able to download and install applications.

TITLE: Data Analysis and Visualization with Power BI

OUR TAKE: This Power BI Udacity Nanodegree training will help you meet growing demand for the skills that top employers are looking for. This module should take roughly 3 months to complete if you spend five hours per week on it.

Description: You’ll master the in-demand skills necessary to become a successful data analyst like data pre-processing, visualization and analysis using Power BI as the primary tool. Udacity recommends that learners have prerequisite knowledge of Microsoft Excel.

TITLE: Data Visualization Nanodegree

OUR TAKE: This training will teach you to combine data, visuals, and narratives to tell impactful stories and make data-driven decisions. It should take roughly 4 months to finish at 10 hours per-week.

Description: Communicating effectively is one of the most important skills needed today, and every business is collecting data to make informed decisions. Build on your data or business background to drive data-driven recommendations. Whether you are a data analyst looking to communicate more effectively, or a business leader looking to build data literacy, you will finish this program able to use data effectively in visual stories and presentations.

TITLE: Predictive Analytics for Business Nanodegree

OUR TAKE: This training teaches you how to apply predictive analytics and business intelligence to solve real-world problems. Learners should have existing algebra, descriptive statistics, and Excel skills.

Description: Learn to apply predictive analytics and business intelligence to solve real-world business problems. Students who enroll should be familiar with algebra and descriptive statistics and have experience working with data in Excel. Working knowledge of SQL and Tableau is a plus, but not required.

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