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. These are the Data Science courses that allow for you to get a certificate after completion of the course. Great for those that are looking to improve their credentials in a certain topic, whether for a current employer or because you are considering a new job position in the future. The platforms we feature here do work differently when it comes to certificates. Be sure to check the quality on the original platform as well as how they are handed out.
Using data to optimize a business is becoming more and more the norm; the business that do not are missing out. This course teaches you how to collect, organize, and analyze data using Excel, SQL, and Tableau (a great visualization tool). This Udacity course is a great start if you are just entering the data science field and are looking to pursue a career in the industry.
This particular Udacity course focuses on teaching the student the fundamentals of programming for data professionals. More specifically, the program teaches Python, SQL, Terminal, and Git. You will also learn version control, managing large datasets, and accessing databases. It is a fantastic course for anybody looking to start a career in data science.
One the best options for those that want to get really serious about Data Science, this Springboard career track will get you job-ready and prepare you for a data science future.
Would you like to learn how to apply fundamental data visualization principles using ggplot2? Enter our Professional Certificate Program in Data Science, and you
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
Learn how to use R More information
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
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
Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. More information
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Learn to use R programming to apply linear models to analyze data in life sciences.
Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.
Discover the relationship between Big Data and the Internet of Things (IoT).
Gain a solid understanding of statistics and basic probability, using Excel, and build on your data analysis and data science foundation.
Learn the principles of machine learning and the importance of algorithms. More information
Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. More information
Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.
Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data and make better predictions.
Statistics play a central role in data science approach and you will learn how to utilize it with this project. If you are a beginner in this field don More information