The Best Udacity Nanodegrees for Data Analytics and Visualization – Solutions Review

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.

Description: Advance your programming skills and refine your ability to work with messy, complex datasets. Youll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, youll 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.

Description: In this program, youll learn foundational data skills that apply across functions and industries. Youll 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.

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.

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.

Description: Youll 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.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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The Best Udacity Nanodegrees for Data Analytics and Visualization - Solutions Review

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