Are you looking to pursue a career as a data scientist ? Are you looking for Data Science courses online for enrollment ?
Data science has a wide range of career opportunities. It’s field is so vast that one can earn a high pay scale if they choose the correct field according to their expertise.
If you are seeking a career in data science then it is essential that you know Python and it’s application as well as other scientific uses.
To help you find the perfect data science course designed for your comfortable understanding and schedule, we’ve researched and combined a list of all the prominent online courses that provide top notch data science education.
Nonetheless, these courses can be accessed by beginners as well as advanced programmers who are looking to brush up their existing knowledge.
Let’s get started to know more !
Data Science for Business Leaders:
Data Science for Business Leaders is a joint collaboration between Udacity and Alteryx.
This course is specifically designed and structured for aspiring businessmen and businesswomen who are willing to kick-start their entrepreneur journey with the help of data science.
It helps you to learn all the strategic decision making skills that will be beneficial in generating all kinds of important business aspects for successful execution.
Some of the topics include strategies and guidelines to solve the human capital, technological, and management challenges through the application of data science in business fields.
It is estimated to be completed within 1-2 months at 5 hours/week as per its teaching structure. This also provides you the freedom to learn flexibly at your own comfortable place, pace and time.
Ed Wiley is the instructor of this course. He has over two decades of experience in data science,machine learning, and artificial intelligence.
He is currently the Chief Technology Officer at Enveda Therapeutics.
Additionally, there are 1400+ technical mentors who provide technical support on any queries raised related to the course so that you can complete the course easily.
Along with this course, you also get to receive other facilities like real-world projects from industry experts, student community support and career services such as resume support, Github portfolio review and LinkedIn profile.
These are the following courses covered –
- Introduction to data science
- Business case for data science
- Human capital for data science
- Data and Machine Learning Infrastructure Strategy
- CAPSTONE PROJECT : Build a 100-Day Data Plan
You’ll receive a Udacity data science (for business leaders) nanodegree certificate upon successful completion of this course.
Prerequisites :
The instructor has advised that it is essential to have relevant knowledge about statistics and probability.
Prior experience in business decision-making in an IT or technical environment is a huge bonus as this course is an executive program.
Programming for Data Science with R:
Udacity has collaborated with Mode to provide Programming for Data Science with R which is beneficial for students who want to learn and understand the fundamental data programming tools like R, git, SQL and command line.
It is estimated to be completed within 3 months at 10 hours/week as per its teaching structure. This also provides you the freedom to learn flexibly at your own comfortable place, pace and time.
There are 1400+ technical mentors who provide technical support on any doubts or questions raised related to the course for better understanding and easy completion.
Josh Bernhard, Juno Lee, Karl Krueger, Richard Kalehoff and Derek Steer are the data science instructors for this course.
In addition to above, you are also entitled to receive real-world projects, project reviews, project feedback from experienced reviewers and content co-created with Mode.
Another useful privilege is that it also provides career services support such as resume support, Github portfolio review and LinkedIn profile.
These are the following courses covered –
- Introduction to SQL
- Introduction to R Programming
- Introduction to Version Control
You’ll receive a Udacity data science (with R) nanodegree certificate upon successful completion of this course.
Prerequisites:
There’s no prerequisites to learn for enrollment into this course apart from general computer knowledge.
Become a Data Scientist:
Become a Data Scientist by Udacity is a course based on becoming a data scientist by learning and applying data science knowledge on aspects like data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.
The course is designed to be completed within an estimated time of 4 months at 10 hours/week. You can learn at your own pace and comfort zone as the schedule is flexible and completely online.
It is a joint collaboration between Udacity and several other companies like Bertelsmann, IBM Watson, Insight, Kaggle, Starbucks and Appen.
These established big names provide major assistance in getting high paying jobs and other amazing offers.
Along with this course, you also get to receive other facilities like real-world projects from industry experts, student community support and career services such as resume support, Github portfolio review and LinkedIn profile.
What’s more? You will learn from experts with decades of experience in data science and related fields at eminent companies. Some of the instructors for this course are Josh Bernhard, Juno Lee, Luis Serrano, Andrew Paster, Mike Yi, David Drummond and Judit Lantos.
There are 1400+ technical mentors who provide technical support on any queries raised related to the course so that you can complete the course easily.
These are the following courses covered –
- Solving Data Science Problems
- Software Engineering for Data Scientists
- Data Engineering for Data Scientists
- Experiment Design and Recommendations
- Data Science Projects
You’ll receive a Udacity data science nanodegree certificate upon successful completion of this course.
Prerequisites :
In order to enroll for this course, it is recommended to have prior knowledge of machine learning concepts such as the Intro to Machine Learning Nanodegree Program.
This course also demands that the learners who wish to enroll should be well versed with Python programming, probability, and statistics.
Programming for Data Science with Python:
Programming for data science with Python is beneficial for students who want to learn and understand the fundamental data programming tools like Python, git, SQL and command line. It is a joint collaboration between Udacity and Mode.
The course is designed to be completed within an estimated time of 3 months at 10 hours/week. You can learn at your own pace and comfort zone as the schedule is flexible.
Josh Bernhard, Derek Steer, Juno Lee, Karl Krueger and Richard Kalehoff are the expert instructors for this course.
They will ensure that all the topics, irrespective of their level of understanding, are thoroughly understood by the students.
Additionally, there are 1400+ technical mentors who provide technical support on any queries raised related to the course so that you can complete the course easily.
With this course, you are also entitled to receive other privileges like real-world projects from industry experts and career services such as resume support, Github portfolio review and LinkedIn profile.
These are the following courses covered –
- Introduction to SQL
- Introduction to Python Programming
- Introduction to Version Control
This course is very similar to Programming for data science with R, with only the programming language being different from one another.
You’ll receive a Udacity data science (with Python) nanodegree certificate upon successful completion of this course.
Prerequisites:
There’s no prerequisites to learn for enrollment into this course. This adds as a plus point for students who want to directly learn the basics of programming without past experience.
Conclusion :
There are many more platforms and courses available online to learn data science which may suit your schedule and budget.
However, this is the complete list of all the best data science courses which we feel are reliable and easy to understand for all types of learners.
Do you know more? Let us know in the comment section.
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Happy searching !
