The Best Udacity Data Analytics Courses for 2021 (Top-Rated)

Udacity Data Analytics Courses

Source: Udacity

Take advantage of these Udacity data analytics courses with the online learning platform’s 75 percent off through March 12.

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 top-rated Udacity data analytics courses to consider taking during the platform’s 75 percent off through March 12 (with code SPRING75 at checkout) deal. 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: Our editors assembled this directory by listing top-rated Udacity data analytics courses in the most popular associated coverage areas including Tableau Software, MicroStrategy, Alteryx, Microsoft Power BI, Databricks, Qlik Sense, Apache Spark, Data Literacy, Predictive Analytics, Machine Learning, Data Visualization, Data Science, Business Analytics, Business Intelligence, Excel Data Analysis, R, and Data Analysis Expressions (DAX).

Business Analytics Nanodegree

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.

Related paths/tracks: Become a Data Analyst, Predictive Analytics for BusinessData Visualization, A/B Testing for Business Analysts, Intro to Data Analysis

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Data Visualization in Tableau

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.

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Data Streaming

Description: Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.

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Predictive Analytics for Business Nanodegree

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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Become a Machine Learning Engineer

Description: Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in the industry.

Related paths/tracks: Intro to Machine Learning with PyTorchIntro to Machine Learning with TensorFlow

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Data Visualization Nanodegree

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.

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Data Science for Business Leaders

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.

Related paths/tracks: Become a Data Scientist, Programming for Data Science with R, Programming for Data Science with Python

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Programming for Data Science with R (Nanodegree)

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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NOW READ: The Best Data Analytics Courses and Online Training (All Platforms)

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Timothy King
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