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Below you will find the best data 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 course for you. Feel free to use the filters below to sift through the entire database on Courseroot.
Level
Price
Certificate
Hours
Platform
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 nanodegree teaches you the skills necessary to become a job-ready data analyst. You will be learning Python, SQL, and basic statistics to exploit data sets and arive at data-driven solutions. Job vacancies for Data Analysts continue to grow in number. After having completed this program, you will be one of the few that is ready for them.
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.
Students will be working on machine learning models, data pipelines, recommendation systems, and deploy solutions to the cloud. You will be working on actual, real-world projects that are created by industry experts. After finishing this course, you will be one of the few data scientists that are in high demand.
Udacity has created a one of the best courses to learn predictive analytics for business. Students will use predictive analytics principles on real-world cases while becoming skilled in Alteryx (data prep and analyzation) and Tableau (data visualization).
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.
Students will learn how to write machine learning algorithms in Python and R. The course is taught by two data science experts and present the student with code templates that can be used.
This course is created by the University of Michigan. It introduces the core data structures that are used in the Python programming language (think of lists, dictionaries, and tuples). Using these data structures the student will be able to perform data analysis themselves.
Learn how to make data-driven business decisions with this analytics course. Master the skills needed to become a business analyst.
Launch your Data Science career with this introductory course. Build a solid foundation in R and start exploring data-related careers.
Springboard offers very thorough and lengthy programs for a variety of topics. This program in specific is fully focused on Python. For those that have a background in mathametics and with other programming languages, this course teaches the fundamentals of the Python programming language. If you are looking to get serious about Python and Data Science, do give this course a look.
In this course you will learn how to scrape, parse, and read data from the web and how to use APIs to gain access to data. Python will be used, together with programming languages like HTML, XML, and JSON, to do so. This tutorial does have some prerequisites: the student needs to be familiar with some basic python programming covered in previous courses that go over variables, experessions, conditional execution (such as loops), Python functions, and more. If you are looking to learn how to use python to leverage the data available on the internet, this is a great course.
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to
An incredible Python course provided via Udemy, here the student will learn all about not only Python, but also NumPy, Seaborn, Pandas, Plotly, Machine Learning, Tensorflow, and much more. If you are looking for a course that has a much broader approach to the Python programming language, with a focus on Data Science and Machine Learning, this is one of the best tutorials you will find.
The course, the fourth course of the Deep Learning Specialization Program teaches students how to build convolutional neural networks including residual networks and other recent variations and apply them to image data. Participants will learn how to use neural file transfer to generate art and apply the algorithms to a variety of images, videos and other 2D or 3D data. More information
Python Fundamentals' by Pluralishgt gets you going with Python. Python is one of the most popular programming languages currently being used in different fields such as web development, data science, scripting, and more. Programming in Python will allow you to write simple scripts as well as complex applications. This tutorial will cover all the basics that you have to know in order to start making good progress with this language; it is one of the best courses for beginners.
Angular is one of the fastest, most popular open source web app frameworks today, and knowing how to use it is essential for developers. You'll learn how to create components and user interfaces, data-binding, retrieving data using HTTP, and more. Hello! My name is Deborah Kurata, and welcome to Ang
The vast majority of applications that use data, are backed by a good relational database system. This course will help to establish a base to those who want to begin learning Structured Query Language (SQL). Structured Query Language (SQL) is a special purpose language for interacting with relation
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statisti
Learn how to prevent background operations from interfering with an app's UI by implementing Apple's GCD framework. Many times your apps need to run lengthy operations in the background, like downloading data, but you don't want these operations to interfere with your UI. Apple's GCD (long form: Gra More information
Implement machine learning based strategies to make trading decisions using real-world data. This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The focus i More information
Intro to Descriptive Statistics will teach you the basic concepts of statistics that can be used to extract information from data. Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts use More information
The Data Structures & Algorithms in Python program is designed for those who want to be more adept in the technical aspects of Python. By the end of this course, you will be able to calmly explain your Python solutions to technical interviewers because you will have learned the necessary skills you'll need.
If you're interested in learning how to design a user-centered mobile app that's built for success, this course is exactly for you. Available for both iOS and Android operating systems, this course teaches you the steps to design a mobile product that prioritizes the users. By the end of this course, you will learn how to use the data gathered from users to your advantage. More information