Top 10 Online Big Data Courses to Enroll In 2023
Top 10 online big data courses that you should enroll in 2023 without any delay
Over several years and 100+ hours of watching course videos, reading reviews about big data on various aggregators, and participating in various quizzes, assignments, and forums. We understand how difficult it is for you to decide before enrolling in any online big data courses. To make it easier for you here we’ve narrowed down the list of top 10 online big data courses to enroll in 2023.
1. Data Science Specialization by Coursera
This course is one of the highly rated and most popular on this list. JHU did an excellent job of balancing breadth and depth in the curriculum. A complete section on statistics, which is the backbone of data science, is included in this series, which is usually missing from many data science courses.
The Data Science specialisation is an excellent blend of application and theory with the use of the R programming language. And in terms of prerequisites, you must have some programming knowledge and experience (But not necessarily in R) and a solid understanding of Algebra. Previous knowledge of Calculus and Linear Algebra is not required, but it’s an advantage if you have it.
2. Introduction to Data Science by Metis
A course with 4.9/5 on SwitchUp and 4.8/5 on CourseReport that is taught live by a data scientist from a top company. This is the only live online course on this list, and it is a six-week data science course that covers everything in the data science process. Furthermore, this course is accredited and you will receive continuing education units in addition to a certificate upon completion.
3. Python Specialization with Applied Data Science by Coursera
The University of Michigan, which also offers an online Master’s degree in data science, offers this fantastic specialisation focused on the applied side of data science. This means you’ll get a solid foundation in popular data science Python libraries like matplotlib, pandas, nltk, sci-kit-learn, and network, as well as learn how to use them on real-world data.
4. Data Science MicroMasters by edX
MicroMasters from edX are the advanced and graduate-level courses that can be applied toward a real Master’s degree at a few certain institutions. Completing the courses and receiving a certificate will count as 30% of the full Master of Science in Data Science degree from Rochester Institute of Technology in the case of this MicroMaster’s (RIT).
5. Dataquest
Dataquest serves as the best supplement to your online learning if you take other courses on this list.
Dataquest foregoes video lessons in favour of an interactive textbook of sorts. And every topic covered in the data science track is accompanied by several interactive coding steps in-browser that will guide you through the process of applying the specific topic you’re learning.
6. Statistics and Data Science MicroMasters by
This MIT MicroMaster’s is more focused on statistical content than the UC San Diego MicroMaster mentioned earlier in the list. Because of its complexity, you should be familiar with single and multivariate calculus, as well as Python programming. Because there is no introduction to Python or R like in some of the other courses on this list, they recommend taking Introduction to Computer Science and Programming Using Python before beginning the ML portion. If you’d rather learn Python through an on-demand interactive platform, look into Codecademy’s Python track.
7. CS109 Data Science by Havard
This Harvard course is one of the best for getting started as a beginner, with a great mix of theory and application. It is not on an interactive platform like Coursera or edX, and it does not provide any sort of certification, but it is well worth your time and is completely free.
8. Phyton for Machine Learning and Data Science
For the price, this is an excellent course. The instructor does an excellent job of explaining the Python, visualization, and statistical learning concepts that are required for all data science projects. The assignments are an advantage of this course over the other Udemy courses. You will work on Jupyter notebook workbooks throughout the course, to solidify your understanding. And the instructor will then follow up with you with a solution video to thoroughly explain each part.
9. Deep Learning Specialization by Coursera
This is one of the most popular data science courses on the internet, created by Andrew Ng, the creator of the famous Stanford Machine Learning course. This course series is designed for those who want to learn about and work with neural networks in Python.
10. Python Computational Thinking XSeries by edX
Although this series only runs every few months, if you’re new to computer science and Python, this is a great series to dive into if you have the opportunity. We found the lecturers to be enthusiastic about what they taught, which made taking the courses enjoyable.
Top 10 online big data courses that you should enroll in 2023 without any delay
Over several years and 100+ hours of watching course videos, reading reviews about big data on various aggregators, and participating in various quizzes, assignments, and forums. We understand how difficult it is for you to decide before enrolling in any online big data courses. To make it easier for you here we’ve narrowed down the list of top 10 online big data courses to enroll in 2023.
1. Data Science Specialization by Coursera
This course is one of the highly rated and most popular on this list. JHU did an excellent job of balancing breadth and depth in the curriculum. A complete section on statistics, which is the backbone of data science, is included in this series, which is usually missing from many data science courses.
The Data Science specialisation is an excellent blend of application and theory with the use of the R programming language. And in terms of prerequisites, you must have some programming knowledge and experience (But not necessarily in R) and a solid understanding of Algebra. Previous knowledge of Calculus and Linear Algebra is not required, but it’s an advantage if you have it.
2. Introduction to Data Science by Metis
A course with 4.9/5 on SwitchUp and 4.8/5 on CourseReport that is taught live by a data scientist from a top company. This is the only live online course on this list, and it is a six-week data science course that covers everything in the data science process. Furthermore, this course is accredited and you will receive continuing education units in addition to a certificate upon completion.
3. Python Specialization with Applied Data Science by Coursera
The University of Michigan, which also offers an online Master’s degree in data science, offers this fantastic specialisation focused on the applied side of data science. This means you’ll get a solid foundation in popular data science Python libraries like matplotlib, pandas, nltk, sci-kit-learn, and network, as well as learn how to use them on real-world data.
4. Data Science MicroMasters by edX
MicroMasters from edX are the advanced and graduate-level courses that can be applied toward a real Master’s degree at a few certain institutions. Completing the courses and receiving a certificate will count as 30% of the full Master of Science in Data Science degree from Rochester Institute of Technology in the case of this MicroMaster’s (RIT).
5. Dataquest
Dataquest serves as the best supplement to your online learning if you take other courses on this list.
Dataquest foregoes video lessons in favour of an interactive textbook of sorts. And every topic covered in the data science track is accompanied by several interactive coding steps in-browser that will guide you through the process of applying the specific topic you’re learning.
6. Statistics and Data Science MicroMasters by
This MIT MicroMaster’s is more focused on statistical content than the UC San Diego MicroMaster mentioned earlier in the list. Because of its complexity, you should be familiar with single and multivariate calculus, as well as Python programming. Because there is no introduction to Python or R like in some of the other courses on this list, they recommend taking Introduction to Computer Science and Programming Using Python before beginning the ML portion. If you’d rather learn Python through an on-demand interactive platform, look into Codecademy’s Python track.
7. CS109 Data Science by Havard
This Harvard course is one of the best for getting started as a beginner, with a great mix of theory and application. It is not on an interactive platform like Coursera or edX, and it does not provide any sort of certification, but it is well worth your time and is completely free.
8. Phyton for Machine Learning and Data Science
For the price, this is an excellent course. The instructor does an excellent job of explaining the Python, visualization, and statistical learning concepts that are required for all data science projects. The assignments are an advantage of this course over the other Udemy courses. You will work on Jupyter notebook workbooks throughout the course, to solidify your understanding. And the instructor will then follow up with you with a solution video to thoroughly explain each part.
9. Deep Learning Specialization by Coursera
This is one of the most popular data science courses on the internet, created by Andrew Ng, the creator of the famous Stanford Machine Learning course. This course series is designed for those who want to learn about and work with neural networks in Python.
10. Python Computational Thinking XSeries by edX
Although this series only runs every few months, if you’re new to computer science and Python, this is a great series to dive into if you have the opportunity. We found the lecturers to be enthusiastic about what they taught, which made taking the courses enjoyable.
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