Best Data Science Courses

Let's take a look at the top courses on the market, based on the average rating by real customers just like you.

Looking for the best data science courses on the market? We've done the research to help you find the perfect data science course to suit your needs.

Getting ready to start your career or simply want to learn something amazing? If you are a science student and want to increase your knowledge, then you must be looking for courses that can help you enhance your skills.

With the help of quality online data science courses, you will easily gain knowledge and improve skills in no time. A special thanks to the internet that has made the world a global village! It makes everything just a click away. You can easily access tons of data science courses online offered by universities from all over the world. 

However, many unauthentic websites claim to provide the best science courses, and in reality, they are nothing but a fraud. Well, that’s what we are here for! We have collected the best ten online data science courses from the authentic websites for you. These will change your life and polish your skills!

You can access them comfortably sitting on your couch and spending spare time learning something meaningful rather than wasting your time in this pandemic.

Let’s get started!

Our Overall #1 Rated Pick

If you're looking for the best data science course that guarantees you a lifetime access and completion certificate, our top pick is The Data Science Course 2020: Complete Data Science Bootcamp.

the-data-science-course-complete-data-science-bootcamp

Lifetime access

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    Best Data Science Courses Based on User Reviews

    Let's take a look at the top courses on the market, based on the average rating by real customers just like you.

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    Product Name

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    learn-c-plus-plus

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    Best Data Science Courses: A Complete Review

    If you've made it this far into the reviews then you must be serious about your buying choice.

    Now that we've covered the quick list of courses, let's break down each of them to see why they have been chosen.

    In this section we'll cover the pro's and con's of each and give you some ideas of who each course is most suitable for.

    the-data-science-course-complete-data-science-bootcamp

    The provider of the course is udemy. It has the entire toolbox that you need to become a data scientist. Once you complete the course, you will fill up your resume with amazing skills and impress interviewers. 

    The course will be able to develop data processing skills in you and understand mathematics. It has detailed lessons that other courses do not offer. You can immediately start python coding and learn statistical analysis. 

    The course is 28.5-hours long and consists of on-demand videos. It has 90 additional articles and 154 resources that are downloadable. The best thing about the Udemy science course is its full lifetime accessibility. 

    Once you learn python coding, you can run linear and logistic regressions. You can access the course from TV and mobile easily. The course has fantastic lessons and practical examples. You will be awarded a completion certificate.

    There are no requirements of experience for the course, and you will start from the basics. However, you will need to install Anaconda on your PC. The course has a detailed tutorial on its installation. You must have access to Microsoft Excel.

    Pros

    No prerequisites

    Completion certificate

    28.5-hours course

    Access on TV and mobile

    Lifetime access to the course

    Create Machine Learning algorithms

    Learn python coding

    Quizzes

    Cons

    The video quality is average; it could be improved

    machinelearning

    Udemy provides the Machine Learning course. It is one of the best Hands-On Python and R Data Science courses on the market. The course will make you able to master machine learning and create amazing learning outcomes.

    The course has unique Machine Learning Models and makes accurate predictions. It is a powerful course and has a lot of benefits. The course I am 44-hours long contains on-demand videos. It has 75 additional learning articles. 

    You will be able to download the resources provided in the course for learning purposes. The amazing thing about this Udemy course is the full lifetime access. You can access the course from TV and mobile. 

    Moreover, the course helps you build a credible and skillful future gradually. It also gives you a shareable completion certificate that you will attach to your resume. The course does not require any high prerequisites. You have to know about high school mathematics. 

    The course will help you make robust learning models, and you will develop strong value regarding your business. It handles particular topics for each problem that comes ahead in creating algorithms. In the end, you will build a powerful army of models and have the knowledge to combine them for problem-solving.

    Pros

    Shareable certificate

    Problem-solving algorithms

    Powerful learning models

    Quizzes

    Practical examples

    Lifetime access

    Downloadable resources

    Cons

    Q/A session is slightly complex

    datascience

    The udemy provides amazing online science courses. Real-Life Data Science Exercises is one of the best online courses. The course will explain all the necessary steps of Data Science and create basic Tableau visualizations. 

    Once you start the course and learn the different models, you will perform data mining in tableau. It will help you understand the statistical tests and other ordinary methods to perform linear regression analysis.

    The course will award you with a completion certificate at the end. You will be able to share it in your resume to impress the recruiting companies. After the course, the Simple Linear Regression and Multiple Regression Analysis will be easy to create. 

    Moreover, it is a 21-hours course containing high-quality videos. The best thing is the full lifetime access to the course once you enroll in it. You can access the course through your TV and mobile. It has additional articles for you to learn in-depth. 

    At the end of the course, you will become an expert in generating variables and operate differently between true positives and false negatives. You see a matrix in your course and have no idea on how to solve it. Well, this course will help you read a confusion matrix. 

    Pros

    Lifetime access

    Read confuse operations

    Access from TV and Mobile

    21-hours course

    Training

    Testing

    Building analysis

    Completion certificate

    Cons

    Some of the software in the course is available as a demo version

    learn-c-plus-plus

    Codecademy is offering so many courses in the sciences. R is an actual code used in a statistical programming language. It is beloved by the users in both academics and industry for programming. It has amazing working stability with data. 

    R helps a lot in building language for people interested in data analysis, data science, and data visualization. The Codecademy course of data learning R will expose you to the fundamental concepts of programming in R. 

    Once you learn the basics, you will know how to organize, clean, and modify the data frames. The course has amazing learning outcomes. It will teach you a good R-Studio; then, towards the end of the course, you will learn to create data visualizations. 

    These visualizations will help you create insightful data representation. You will finish the course with statistics and hypothesis testing and become an expert in data analysis. The course is 20-hours long and has no prerequisites. 

    There are so many courses in the market that need you to learn code and coding before enrollment. However, this course does not have any high requirements. You will learn through the lesson and test your skills through quizzes and projects.

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    Pros

    No prerequisites

    20-hours course

    Lessons

    Quizzes

    Projects

    Master data manipulation

    Master in data cleaning

    Cons

    The basic version has limited features

    The pro version is paid

    data-processing-pandas

    Learn Data Analysis is one of the best online courses provided by Codecademy. Pandas provide a basic tool for working with tabular data that means organization data into tables. However, tabular data has a lot of the same functions as SQL or Excel. 

    What makes the Pandas different? Well, it adds more power of Python into the programming. You will be able to master a lot of skills after learning Pandas. You will gain knowledge of ingesting, cleaning, and aggregating large amounts of data. 

    Once you gain skills through Pandas, you can use the data with other modules of Python. These include SciPy for statistical data analysis and Matplotlib for data visualization. Overall, this course will cover a loss from basic to high-level learning of Pandas. 

    You will cover the topics relating to creating Pandas Data Frames, calculate large aggregates, and merge the multiple tabular data written into tables. It took you 6-hours to complete the course. You will also go through the stress-test.

    The courses usually have some prerequisites like this course; you have to Learn Python 2 before this course. It has many tests, including quizzes, that will clean your skills and help you commit syntax to memory.

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    Pros

    Stress-tests included

    6-hours course

    Practical projects

    Creation, Loading, and selection of data

    Learn calculating tabular data

    Develop skills to modify data frames

    Cons

    It has a prerequisite for learning Python 2

    The pro version is paid

    machinelearning1

    The Basics of Machine Learning through Codecademy is very beneficial. It has amazing learning outcomes. You will learn from the basics and move towards the high-level of the course grade. It is a very important part of the field of computer science.

    Machine Learning gives a new perspective for the computer systems, and you will develop the programming knowledge. The course will guide you to learn from the data that is one of the spiced topics of computer science. 

    Machine Learning is transforming the world and taking it towards a new form. We have traveled from spam filtering in social media accounts to computer operating vehicles. The potential for machine learning applications is vast.

    The time to complete the course is 20-hours, and you will go home with amazing skills. It will make you able to cover the foundational machine learning algorithms. All of these will help you build a strong career. 

    The course will improve your skills, and you will analyze the dataset using Machine Learning. If you are looking to enhance your skills in data analysis, then this course is the best without any doubt. 

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    Pros

    Video lessons

    Quizzes

    Practical projects

    20-hours course

    High potential course

    Additional learning articles

    Cons

    You must know Python 2

    The pro version is paid

    jhu-data-science

    The data science specialization is essential to a course used to clean, analyze, and visualize data. You can navigate the data acquisition to publication through data science. It will also teach how to use GitHub to manage projects under data science.

    Data science specialization will make the participants able to run a regression analysis, perform least squares, and inference through regression models. This specialization covers a vast field in data science, including tools and concepts. 

    You will have to go through the entire data science course. Ask questions to make inferences and publish the results. Starting from the beginning, you will learn step by step and reach the point where you will apply the skills in the real world.

    Moreover, the course has amazing learning outcomes, including a shareable completion certificate. It will enhance the values of your resume. Once you complete the course, you will start a new career or get a promotion in the firm. 

    The course has a flexible schedule, and you can reset the deadlines. At the end of the course, students will have a portfolio showing their skills. The course took 11 months to complete. That is why it is suggested to work 7-hours/week.

    Pros

    Tangible learning outcomes

    Completion certificate

    Flexible schedule

    Reset deadlines

    100% online

    Video lessons with subtitles

    Cons

    You must have beginner-level Python experience

    The University of Michigan offers five specialization courses for learning in data science through Python Programming. It is an online course provided through Coursera. It will help you gain knowledge to conduct an inferential statistical analysis.

    You will also learn to pick bad or good data visualization through the course. It will improve your knowledge of data analysis in applied machine learning and social networking. It is a skills-based specialization. 

    A person who has a basic knowledge of Python or the background of programming and wants to polish the skills should enroll in the course. The students, after the course, will be able to apply the statistical analysis through popular techniques. 

    The course starts with the introduction, then moves towards Applied Plotting. You will learn Charting and Data Representation in course two and Applied Machine Learning in course 3. The courses 4 and 5 can be taken in any order, but you must complete all 5 to gain a completion certificate. 

    The course has amazing learning outcomes and a completion certificate as an award. It has a flexible schedule, and you can reset accordingly. The course is five months long, so it is advised to work on it for 7-hours/week.

    Pros

    Free enrollment

    Certificate of completion

    Video lessons with subtitles

    High potential

    Positive learning outcomes

    Flexible schedule

    Reset deadlines

    Cons

    You must have some intermediate experience of Python

    introduction-data-science

    Coursera offers the course of Introduction to Data Science. In this specialization, students will be introduced to Data Science and what scientists perform. You will get a wide field idea about data science among different fields and how data analysis helps. 

    You will be able to get a head start your career on the path of data science after the course. It will provide a solid foundation in advanced learning of data science that will help you enhance your skills and reach higher goals. 

    It offers free enrollment, so it is not a problem. Plus, you will gain knowledge to put onto the resume. In this way, you will impress the companies and might get a high-level job easily. 

    The specialization will describe data science and machine learning concerning its uses and different tasks. You will gain sound familiarity with data science tools, including GitHub, Watson Studio, R Studio, and JupyterLab. 

    The course is four months long, so it is suggested to give 4-hours each week to the course. It has fantastic learning outcomes. Almost 46% of students can start a new career, and 19% get promotions in their fields.

    Pros

    Tangible outcomes

    Free enrollment

    Videos with subtitles

    Completion certificate

    Kick start your career

    Flexible schedule

    No experience required

    Cons

    None as such

    data-science-foundations-r

    The Coursera course in Data Science specialization covers a wide ground. It helps the students to learn tools and techniques. The course takes the students step by step from understanding the conducting research. 

    It will make the students learn to use R to clean, analyze, and visualize data. You will gain the knowledge to ask questions, obtain respective data, and perform research. The amazing tools like GitHub, R-Studio, and R are included in the specialization. 

    The learners who complete the specialization will gain enough skills to start Machine Learning Specialization. They will build real-world data products in a machine learning course. The first five courses of data specialization are very important. 

    These courses will help you construct a strong building in Data Science Analysis. It will help if you wish to move towards the advanced specialization courses. Data Science using R is a wholesome course. 

    At the end of the course, learners will have a vast knowledge of tools, programming through R, data cleaning, analyses, and practical assignments. The course has exceptional learner career outcomes. There are about 39% of people that will become experienced in starting a new career at the end of the specialization. 

    The course is five months long, so it is recommended to at least give 8-hours per week to the course. The faculty is highly educated and allows you to reset the deadlines. The schedule is quite flexible and easy to follow.

    Pros

    Free enrollment

    Completion certificate

    Reset deadlines

    Flexible schedules

    Tangible outcomes

    No prerequisites

    No prior experience required

    Videos with subtitles

    Cons

    None as such

    Best Data Science Courses - Buyer's Guide

    It is very important to have the right features that will suit your needs and fulfill your requirements. A decent online course has all of the necessary features, and it is a major part of choosing the right online course. 

    Same as car dealers or house dealers that will offer unique features. They are trying to buy their product and create customers. That is why it is very important to understand your needs and start researching. 

    We have combined an excellent guide containing important features that will help you find the perfect online course of your choice. 

    Tutor Qualifications

    The first and foremost feature that you must keep in mind. A qualified tutor can teach in-depth about a particular subject. It is not wrong to say that a highly qualified person holds much more experience than an ordinary person. 

    The online courses providers like Udemy, Coursera, and Codecademy make sure to combine qualified faculty. When it comes to science courses, they make sure that no wrong knowledge must be taught. Science comprises unique and complex theories, so a skillful person must be teaching these courses. 

    Most of the faculty at Udemy holds no less than a Ph.D. Coursera and Codecademy also recruit highly professional and trained teachers.  They must have enough skills to manage and train a bunch of people at the same time.

    Admission Criteria 

    There are no such evident admission criteria on most of the courses provided by Udemy, Coursera, and Codecademy. However, there are few specialization courses of Coursera that require some prerequisites to be fulfilled to enroll in a certain course. 

    Udemy and Codecademy courses are simple to apply in and obtain knowledge. Further, you must know before applying in a course that it might need you to go through some basic knowledge. The science specialization courses by Udemy, Coursera, and Codecademy will not benefit you if you ignore gaining the basic knowledge before enrollment. 

    All of them need you to be passionate and show maximum strength. Coursera also offers free enrollment, and some are offering discounts. 

    Video Quality 

    It is an essential feature to consider while enrolling in an online course. If the quality is not good, then you will not understand a thing. All your money goes to waste. Udemy, Coursera, and Codecademy courses are best in this regard as they have decent quality video lessons with subtitles. If you do not understand English, not a problem, you can change the language of subtitles on the videos provided by Coursera. 

    Completion Certificate

    The authentic websites for online science courses like Udemy and Coursera provide shareable certificates of completion at the end of the course. These certificates will promote your value and credibility. 

    You will get a promotion in your company and also kick start your career as they will impress the companies at the time of recruitment. It is a very important feature to check before enrolling in an online course. The unauthentic websites will not bother providing them as their only goal is to make money. 

    Benefits

    Well, this feature is quite complex to find in a free course. The science courses provided by Codecademy have two versions: Basic and Pro. At the basic level, the course offers fewer benefits as compared to the Pro version. 

    The Udemy courses provide lifetime access and downloadable resources. Coursera, on the other hand, gives the benefit of free enrollment. So, you have to keep in mind before enrolling in an online course that they are offering you a vast range of benefits. 

    In that way, you will gain the most knowledge. These benefits will give you peace of mind, and you can focus on the training. 

    Assignments/Quizzes 

    You learn most when you do the practice. The science courses are all about doing practice and testing your abilities. The Science course provided by Codecademy has a practical project and quizzes at the end of each lesson. 

    In that way, you can easily practice what you have learned in the class. Udemy provides additional articles for reading and enhancing your knowledge. It can improve your skills and polish you as a professional person. You must check before applying to the courses. 

    Access from Devices 

    Nowadays, students like to carry smartphones and other portable devices. It is very beneficial if the courses have access to different devices. Some students cannot afford a laptop and only have a smartphone as their last hope. 

    Udemy provides access to the course from mobile and TV. You can easily watch the videos on mobile whenever and wherever you like. The Coursera and Codecademy websites easily open in mobile web browsers. So, before enrolling, make sure that these websites have access from different devices. 

    The online course demands a lot of practical work. It is all for a better understanding of a certain course. It does not matter that the course comprises lessons in audios, videos, PDFs, or any other file type; you have to make sure that all of the files also work well when submitting your work. It is better to have flexibility in courses.  

    Cost 

    One of the main reasons why people choose online courses is because of their quality of less cost, more benefits. Students can add much more value and credibility to their resumes and CV with these amazing online courses. 

    Coursera are providing free enrollment and financial aid for the students. At the same time, Codecademy provides a free basic version of the course. It has limited, but decent benefits for the students. 

    Different universities also offer the course through these providers. Udemy and Coursera have plenty of university courses for students which they can complete at their homes. Udemy has discounts on the courses most of the time. 

    So, students can easily enroll themselves in science courses. It is essential to make sure you can easily afford the course as it will save you from getting worried.

    Best Data Science Courses - FAQs

    Best Data Science Courses – Final Word

    Education is meant to make people skillful and professional in their fields. The certificate of completion awarded by these online courses can give you and your career a kick start. It adds credibility to your CV and works as proof that you have gained the knowledge. 

    Your entire career depends upon how much knowledge you have and how much work you have done in the respective field. These will change the way companies think about you. Some people have certain challenges to face in their lives, so these courses benefit them as they can access them from anywhere in the world. 

    The best investment an individual can make is to educate himself. So, do not be afraid and try these best data science courses to enhance your knowledge. 

    Happy learning, folks!