Below you will find the best data science 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 science 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 Science courses that we have in our database from Coursera. Coursera is an incredble platform for online classes with a high standard in regards to quality. They work with top universities across the globe, like Standford, Hardvard, UC Berkley, and many more, to make education more accessible via the internet.
This course is designed for intermediate students who want to know in-depth about Python programming. Topics tackled by professionals include popular python pandas data science as well as merge and pivot tables effectively. After this great Coursera course has been completed, expect to be well-versed with this programming environment.
For those new to data science, this course is for you. It provides lessons on Big Data landscape, the V's of Big Data, Hadoop, MapReduce programming model and more. The course is available for all levels. After this great Coursera course has been completed, students will be able to provide an explanation of the architectural components and programming models. More information
Enroll in this course if you want to learn more about data science. This one-week class or crash course provides a better understanding of how data science play a successful role in organizations. After this course, the student will be well-versed with statistics, machine learning and software engineering.
Este curso te proporcionara las bases del lenguaje de programacion estadistica R, la lengua franca de la estadistica, el cual te permitira escribir programas que lean, manipulen y analicen datos cuantitativos. Te explicaremos la instalacion del lenguaje; tambien veras una introduccion a los sistemas
Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowe
Data science courses contain math
Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and follow
The Executive Data Science Capstone, the specialization
The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the know More information
As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, More information
In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, More information
In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredien More information
This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University. More information
Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data s More information
This is a course for students, business analysts and data scientists who want to apply statistical knowledge and techniques to business context. The student in this course will learn all about business analytics, Big Data and data science that will help them grow and expand in their branch of business. They will become experts in marketing after finishing this easy to follow the course. More information
If you want to learn how to win a data science competition this is a right course for you. You will be taught all the tips and tricks from the people who have a lot of experience in this field. You will understand how to solve predicative modeling competitions efficiently and learn which of the skills obtained can be applied to real-world tasks and much more useful information that will propel you to victory. More information
Science is using more and more data in their research, and astronomy is leading the way in this field. Learn how these two mix and how to get better results in your research using data to help you explore new areas of the modern science. You will learn how to use Python 3 for all your data needs.
If you want to start creating powerful, robust, and reusable data science tools then this is a course for you. Topics covered include functional programming in R, robust error handling, object-oriented programming, profiling and benchmarking, debugging, and proper design of functions. More information
If you have some background in sciences, business or engineering you may have a lot of experience in data analysis. This course will expand on your knowledge about data analysis and improve the quality of your work regarding data. The course is very practical and filled with examples of the topic covered.
Statistical experiments design and analytics are at the heart of data science. This course will help you learn more about it. After completing this course you will able to design effective experiments and analyze the results, use resampling methods to make clear and bulletproof statistical arguments without invoking aesthetic notions and many more useful things. More information
Coursera offers a great second part on the Genomic Big Data Science Specialization. You will learn how to use the Galaxy framework and the key things about it. You will also learn all the tools that are available form the Galaxy Project. More information
The student of this course will be given insight in commands that they will need to manage and analyze directories, files and large sets of genomic data. This course is run by respected experts from John Hopkins Univerity who have a lot of experience in Genomic Big Data. More information
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved o More information