Gregory Sward
What is it?
Data Science for Professionals is simply the best way to gain a in–depth and practical skill set in data science. Through a combination of theory and hands–on practice, course participants will gain a solid grasp of how to manage, manipulate, and visualize data in R – the world’s most popular data science language.
Who should take this course?
This course is for professionals who are tired of using spreadsheets for analysis and have a serious interest in learning how to use code to improve the quality and efficiency of their work. At the end of this course, participants will have a developed a solid foundation of the fundamentals of the R language. Participants will have also gained a perspective on the modern data science landscape and how they can use R not only to better analyze data, but also to better manage projects, create interactive presentations, and collaborate with other teams. Whether it’s spreadsheets, text documents, or slides, anyone who analyzes, reports, or presents data will benefit from a knowledge of data science programming.
Who should NOT take this course?
While this course covers examples of machine learning in later lectures, this is not a machine learning or a statistics–focused course. The course does go through examples of how to use code to deploy and assess different types of models, including machine learning algorithms, but it does so from a coding perspective and not a statistics perspective. The reason is that the math behind most machine learning algorithms merits a course entirely on its own. There are many courses out there that make dubious claims of easy mastery of machine learning and deep learning algorithms – this is not one of those courses.
Instructor Details
Courses : 1
Specification: Data Science for Professionals
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9 reviews for Data Science for Professionals
Add a review
| Price | $14.99 |
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| Provider | |
| Duration | 6.5 hours |
| Year | 2018 |
| Level | Beginner |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$14.99
Abhishek Balam –
Very easy to understand and good examples.
Benson Philemon –
Good course! You need some basic knowledge of R before the course as some R coding is a bit advanced
Subhaan Sayyed –
easy to learn but videos are too lengthy
Sipho Shabalala –
This is an really good introduction. A large part of the information given so far was expected. Nothing earthshattering yet.
Robert Shearer –
So far so good?
Nitin Jain –
The presenter kept me engaged throughout his videos. He started with basics & shared very simple and effective ways to solve complex problems. The course is worth joining, I highly recommend Data science for professional.
Yashnit Verma –
good
Ernst Kopp –
I always wanted to know more about R and this course is excellent for that. However i am not sure too which extend i will be able to use my new knowledge in my job.
Helena Rolle –
Course delivered as was stated. Lectures were appropriately sized. Explanations were to the point. Lecturer was very knowledgeable in his material. TWO DRAWBACKs: I do not like having UNANSWERED questions: questions are a learning tool for me. Have 2 unanswered questions after waiting for about 2 days to have them answered. 2. The video resolution should have been maximized: coding was too small given the extensive use of the selected background should have been white.