Below you will find the best data analytics courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best data analytics course for you. Feel free to use the filters below to sift through the entire database on Courseroot. In the list below you will find all Data Analytics courses that are free for the taking. A great way to explore a new topic, or gain some understanding of a topic without commiting any money at first. Be sure to give a quick check to the specifications with regards to price on the original platform before entering the course. Just to make sure it matches your expectations in regards to price.
Want to grow your application's user base and know how they interact with your app? Then, this course is for you. This course enables you to learn how to grow your user base by using Firebase Analytics such as Firebase Crash reporting, Firebase remote Config, and Firebase Dynamic Links that you know how to grow your user base, record how your users interact and using these data for improving your application's performance. More information
In this course, which is called Problem Solving with Analytics, you will learn how to solve data problems using a scientific approach. If you are interested in improving your data-driven decision making in a business context, this course is the best starting point for you. Within this course, you will also be applying everything you have learned in Alteryx, a data analytics program. More information
Want to quickly learn how to use Firebase? Check out this course. This class begins by showing you how simple reading and writing any data to Firebase is. Then, it proceeds to teach you anything from how to allow users to login, to sending notifications to them. This course concludes by providing you a short overview of Firebase Analytics, which you can use to collect data from the beginning. More information
This course covers a variety of algorithms and systems to help the student learn more about the data science in healthcare industries. In this course, the student will be introduced to the attributes of medical data and the corresponding data mining challanges on dealing with such data. If you want to further improve in your career as a data scientist, this course is exactly for you. More information
To further enhance your IT skills and knowledge, be sure to take this Python Programming course today. Topics usually range from statistical analysis, data mining and visualization, as well as data science and programming in Python for data analytics. At the end of the course, expect to be well-versed in this field.
This course prepares students to understand business analytics and become leaders in these areas in business organizations.
Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions. More information
Learn how to measure, manage and analyze customer data to make effective marketing decisions.
Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information. More information
Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform.
Develop quantitative models that leverage business data to forecast sales and support important marketing decisions.
Data analysis is a very important skill that you can learn to help you with all sorts of projects. This course offers to teach you fundamentals of programming in Python and develop the ability to analyze data and make data-driven decisions.
Learn how to lead your firm to make better business decisions using analytic methods and create competitive advantages from data.
Learn how to use data to develop insights and predictive capabilities to make better business decisions.
Students of this course will learn all about fundamental tools and techniques for using data towards making business decisions. You will become an expert at handling and the use of data to your advantage.
Julian Juenemann will teach you all you need to know on how to setup Google Analytics the right way. The course is specifically designed for Web Designers and Agencies who specialize in this field.
If you want to learn the basics of marketing analysis, be sure to enroll in this course today. Learn from these great teachers that will help you use data to ensure that your marketing strategies are effective. At the end of the lectures, the student will be able to interpret data with ease.
If you want to get started in data science this is a course for you. You will learn how to use Google Analytics to analyze user behavior and website performance. This course assumes no specialist prior knowledge and can quickly teach you to be the bridge in your organization between analytics experts and other functions.
From sources such as satellites, sensors and social media, how can environmental data analytics benefit business and research? From weather fluctuations to the spread of an invasive species, what problems can scientists address by analysing these vast data collections? What are the potential benefits for business, research and our daily lives? Fin...
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Analytics with the Chadwick tools, dplyr, and ggplot.
Learn how to present your Data Analytics results in a manner that makes you stand out and be recognized for your skills
Learn how to analyse social and digital media and how to turn this data into useful insights and actions. How can social and digital media help a business improve? How can we get useful data from social and digital media? What are the limitations of such data? Get answers to these questions and more in this introductory course to social and digita...
Delivering a Relational Data Warehouse teaches participants how to design, build, upload and operate a relational data warehouse in order to support business intelligence (BI) and Advanced Analytics (AA). It is beneficial to persons who seek further knowledge in Data Analytics or wish to specialize in Relational Data Warehouse.