Data analytics skills are in high demand among organizations that are looking to use their collected data to generate valuable business insight. The pandemic and subsequent “new normal” of remote work are furthering demands for these skills. Many are turning to online learning platforms to up their game and acquire the data analytics skills most likely to help them stand out. And whether you are looking to acquire those skills for work or for play, this collection of Udacity data analytics courses will help you learn the ropes so you can pilot some of the most widely used tools in no time!
With this in mind, the editors at Solutions Review have compiled this list of data analytics courses on Udacity to consider during the platform’s exclusive 30-day free access offer through May 23. 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.
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.
This beginner-level Tableau data visualization training features interactive quizzes, self-paced learning, is taught by industry professionals, and takes approximately three weeks to complete.
Description: Learn the fundamentals of data visualization and practice communicating with data. This free, beginner course covers how to apply design principles, human perception, color theory, and effective storytelling with data. If you present data to others, aspire to be a business analyst or data scientist, or if you’d like to become more effective with visualization tools, then you can grow your skills with this course. You will also find Tableau training in Udacity’s Marketing Analytics, Predictive Analytics For Business, and Business Analytics modules.
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.
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.
OUR TAKE: This module will enable you to master the strategic decision-making skills for the people, platforms, and processes required to leverage data science. Finish this training in 4-to-8 weeks.
Description: This course provides business leaders and managers with strategies and guidelines for how best to solve the human capital, technological, and management challenges of building data science into the business. Students will gain skills in identifying opportunities for data science across many functional areas of the business, as well as learn the tools to prioritize and execute on those opportunities as part of a data science initiative.
OUR TAKE: This data science programming training will teach you data programming tools like R, SQL, command line, and git. This module takes roughly 3 months to complete.
Description: Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git. There are no prerequisites for this program, aside from basic computer skills. With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
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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.