If you don’t have experience with data science, but you would like to try it, check out our list of the 20 Best Online Data Science Courses, Schools & Degrees. These courses will provide you all you need to know to get a data scientist job.

Data science is a process of developing algorithms and using technology to solve the most complex problems. If we want to work with data, we need to understand it. We need to translate data into a story.

Big organizations operate with a lot of data. Because of this, there is a high demand for data scientist jobs. A data scientist is a person who uncovers the meaning behind data. He or she needs to have a strong knowledge of mathematics and statistics. If you don’t have experience with data science, but you would like to try it, check the courses below. These courses will provide you all you need to know to get a data scientist job.

**Kirill Eremenko, Machine Learning A-Z™: Hands-On Python & R In Data Science:** Kirill is a data scientist. He has 6 years of experience in teaching people data science. Becoming an expert in this field can be very challenging. In this course, you can find everything related to the industry of machine learning. He is going to talk about algorithms. You will learn how to code them in Python language. This course is for everyone who wants to learn more about data science and machine learning.

**Kirill Eremenko, Data Science A-Z™: Real-Life Data Science Exercises Included:** You will learn about 4 parts of data science. The first part is about visualization and data mining. In the second part, you will learn about modeling. The rest is about the concepts of data preparation, data analysis and storytelling. The course is a mixture of theory, practice and homework

exercises.

**Jose Portilla, Python for Data Science and Machine Learning Bootcamp:** Become a data scientist. According to the GlassDoor, a data scientist job is ranked as a great job with high salaries. Use this course to become a data scientist expert. The first thing you are going to learn here is Python. Before you start with data analysis material, you need to refresh your memory of Python. The rest of the course is about the most popular data science libraries. If you are a beginner with basic coding knowledge, this is a course for you.

**Kirill Eremenko, R Programming A-Z™:** R For Data Science With Real Exercises!: Are you tired of learning programming? When people try to learn how to code they rely on the books. Information that are too much detailed, can confuse you. Before you start reading a book, you should try to find a good course. This course will simplify these things. What makes this course good? In every single tutorial, you will learn a new valuable skill which you can apply in the next section of the course. You will learn about how to combine programming and statistic concepts, data frames, and visualization.

**Frank Kane, Data Science, Deep Learning, & Machine Learning with Python:** Apply data mining and ML to data sets. The course includes over 80 lectures and 12 hours of video. This course won’t provide you an academic knowledge of algorithms. You are going to get the basic knowledge and practical understanding of algorithms. At the end of the course, you will make a final project in which you will apply what you have learned.

**Kirill Eremenko, Tableau 10 A-Z: Hands-On Tableau Training For Data Science!****:** This is a step-by-step course. You are going to realize that you are getting better and better with every step you take in this course. You will learn by doing because every chapter has its own exercise. What will you learn here? You are going to make charts, work with maps and dashboards. How to make your charts look fantastic? How to include maps in powerful dashboards? Find out the answers to these questions in the course.

**Jose Portilla, Data Science and Machine Learning Bootcamp with R****:** This course includes over 100 lectures. That is a lot of space to cover all concepts of R, machine learning and data visualization. Which things will you learn here? The basic of programming in R including working with vectors and data frames. You are going to use R to make incredible data visualizations. You will make a lot of portfolio machine learning projects. The teacher will cover some advanced topics such as reinforcement learning.

**Kirill Eremenko, Python A-Z™: Python For Data Science With Real Exercises!:** Learn how to solve problems with Python. The course has a very interesting approach to learning. In every single tutorial, the teacher will pick up a certain skill. When you learn the certain skill, you are ready for the next tutorial. This step-by-step approach will help you to gain Python skills as fast as possible. While you are learning Python, you will learn how to solve some real problems.

**Kirill Eremenko, Deep Learning A-Z™: Hands-On Artificial Neural Networks****:** Where do we learn algorithms? Instead of attending universities, you can learn them through an online course. In this course, you are going to learn all about deep learning. Deep learning is the most powerful branch of machine learning. The course is broken down into two parts, supervised and unsupervised machine learning. Find out what is the difference between these two concepts and more.

**Ben Weinstein, Data Science: Beginners Guide to the Command Line:** Why learn about data science? According to the IBM, there will be 2.7 million data jobs available jobs by 2020. The average annual salary for a data scientist is about $120000. The author of the course will provide information which can help you to succeed in this industry. The course will cover the basic and advanced topics of the command line. All people who are interested in data science are good candidates for the course.

**AkaSkills !, Machine Learning and Data Science Essentials with Python & R:** Learn Python and R. If you are wondering which is the highest paid job skill of 2018, it’s a machine learning. Machine learning gives computers the ability of automatic learning without programming instructions. Since the crucial languages are R and Python, the course will cover these languages. You are going to master machine learning using Python and R.

**Ardit Sulce, The Python Mega Course: Build 10 Real World Applications****:** The course is suitable for beginners. If you are looking for the course which will learn you Python from scratch, this one is the best choice. It contains everything you need to know to become a professional Python programmer. You are going to learn through real-life projects, quizzes, and challenges. Let’s point out what you are going to learn here. The basics of Python is the first lection. Then you will learn how to create web maps, websites and desktop applications with Python.

**Kirill Eremenko, R Programming: Advanced Analytics In R For Data Science****:** Learn all features of R. As you progress through the course, you will realize what it is like to apply R in the real world of data. If you choose this course, you will get the following benefits. You will learn how to deal with missing records in a dataset. Then, you are going to learn all about the POSIX time format and practice visualization.

**Jose Portilla, Data Science Career Guide – Interview Preparation:** Prepare yourself for an interview. This course will give you some directions how to prepare yourself for an interview. At the beginning, the teacher will talk about career paths. You need to understand which opportunities are out there so you can act on time. The course provides real interview questions from the most popular tech companies. Anyone interested in data science career is a good candidate for the course.

**Minerva Singh, Complete Data Science Training with Python for Data Analysis:** How to make your first project? Minerva has several years of experience in analyzing real-life data. She has created this course to teach all people about data science concepts. It is perfect for people who want to make their first projects. By the end of the course, you will have an actual work which you can show to potential employers. The course contains 12 hours of video content.

**Minerva Singh, Data Science Academy: Master Data Science In R:** Start your career as a data scientist! If you want to become an expert in this field, you are in the right place. This course contains 40 hours of video content. Even if you are a total beginner, you can follow the course. You will use R to perform statistical data analysis and visualization tasks. You will learn supervised and unsupervised machine learning in R and much more.

**Data Hawk Tech, Data Hawk Tech, Introduction to Data Science****:** Explore essential data science skills. Do you want to see, how the process of data science projects look like? The teacher will explain the process of making projects and point out crucial skills and roles.

Except for this, you are going to learn the most important concepts used in data industry. You will learn how to use R, Python, and the command line. If you are a beginner who wants to start a data science career, this is a course for you.

**Ankit Mistry, Data Science in Python Pandas, Scikit-learn,Numpy Matplotlib:** Learn the basics of Python. Then you will learn how to install and setup Jupyter notebook. Jupyter is an app that gives you the opportunity to create and share documents. Then you are going to learn more details about NumPy, Pandas and MatplotLIb library. To be able to follow the course, you need to have basic Python skills.

**Lazy Programmer Inc., Data Science:** Deep Learning in Python: Data science is a big part of machine learning. The teacher will cover a technology made by Google called Tensor Flow. You are going to build a neural network from scratch. Would you like to learn how to make a sports betting machine that makes predictions? By the end of this course, you will be able to take things you have learned and create powerful machines.

**David Valentine, Introduction to Machine Learning for Data Science:** What problems does machine learning solve? How to solve any machine learning problem? What is the future of this technology? If you want to find out the answers to these questions, then enroll in this course. David Valentine is an enterprise architect with 17 years of experience in this field. He is going to show the entire process of machine learning. The course is for everyone who would like to learn about data science and machine learning.