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 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.
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
Looking to ace that upcoming data science interview? Look no further and check out this short course. In here, you will be more prepared to answer the questions in data science interviews since you will be practicing everything from data analysis to machine learning.
Get started in your career in the various fields of computer science with this introductory course from Udacity. In here, you will be introduced to programming so you can learn how to code and get careers in AI, Data Science, Web and App Development, and more. This course is great for beginners with or without prior programming skills.
In this expert course from Udacity, the student will learn how to start from the beginning in understanding and paying attention to the relevance of data. The model building process that is featured in this course involves anything from asking questions and gathering data, to testing and evaluating data. Everything the student will learn in this course is useful in every field of science. More information
Ever wonder how your phone can recognize your voice? Netflix can predict what movies you'll like? and how can we program machines to learn like us? Take this course and you'll learn how these things are done and learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems. Join us now and let us explore into Machine Learning and find those answers. More information
This course is designed to give intermediate students a better understanding of data science. There will be skilled and experienced professionals who will tackle topics on data manipulation, data analysis, statistics and machine learning. Be able to sample and apply the basic techniques of data science after completing the entire course. 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.
A part of Microsoft Professional Program Certificate in Data Science, this course will teach you about the art and science of data storytelling and achieve greater analytics impact. A course for experienced users, learn to craft stories, command the room and finish strong. Having wrapped up the program, students will be able to apply the best practices for creating high-impact reports and presentations. More information
Machine learning makes use of computers to run predictive models that forecast future behaviors, results, and trends from existing data. This data science course, under the auspices of the Microsoft Professional Program in Data Science as well as AI, takes you through machine learning theory in conjunction with real scenarios for a hands-on lesson in constructing, validating, and finally using Python and Azure Notebooks to witness machine learning models.
Get up close and personal with Microsoft Azure as you explore SQL, machine learning, and other statistical techniques centered on business applications. Microsfot Azure allows you to discover data science and examine business data...
Would you like to learn how to apply fundamental data visualization principles using ggplot2? Enter our Professional Certificate Program in Data Science, and you
Nowadays in healthcare, there
Get to grips with the ethics of privacy, data sharing, and decision-making with algorithms...
You need to know about data wrangling, a process that converts raw data to other formats required for more analysis. As part of the Professional Certificate Program in Data Science, several stages of data wrangling are covered including importing data into R, tidying it up using the tidyverse package, string processing, HTML parsing, and text mining. Most of the time, a data analyst doesn More information
Get hands-on experience with the science and research aspects of data science work, from setting up a proper data study to making valid claims and inferences from data experiments. This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Progra
Aimed particularly at beginners, this course will give you a closer look at Data Science and will take you through the basics of how to use R to process and analyze big data. The practical section of this course uses airline data to give you real life examples of the rationale behind data driven decisions. This course also forms a foundation for other data driven disciplines.
Learn how to use R More information
The ability to analyze data with Python is critical in data science. Learn the basics, and move on to create stunning visualizations.
Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning.
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 inference and modeling: two of the most widely used statistical tools in data analysis. Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating cas
6.00.2x is an introduction to using computation to understand real-world phenomena. More information
In this capstone course, show what you
Data science projects involve keeping track of many data files and analysis scripts. Learn GitHub, git, Unix/Linux and RStudio to keep your projects organized and produce reproducible reports. A typical data analysis project may involve several parts, each including several data files and different More information