Coursera – Data Science: Statistics and Machine Learning Specialization 2024-5
Coursera – Data Science: Statistics and Machine Learning Specialization 2024-5 Downloadly IRSpace

Data Science Course: Statistics and Machine Learning Specialization. This specialized course is a continuation and expansion of the concepts presented in the “Data Science: Foundations using R Specialization” course and deals with statistical inference, regression models, machine learning and data product development. In the final project, students will apply the skills learned in the form of building a data product using real data. After completing the course, students will receive a certificate by presenting samples of their skills in mastering the topics presented. This specialized course consists of five separate courses, which actually form the second half of the “Data Science” specialized course. This course is designed for students who have the necessary background in the field and want to jump straight into more advanced topics.
What you will learn
- Performing regression analysis, least squares and inference using regression models
- Construction and application of prediction functions
- Development of public data products
- Building models, performing inference and presenting interactive data products
This course is suitable for people who:
- Have successfully completed the “Data Science: Basics Using R” course.
- Looking to learn more advanced topics in data science, statistics and machine learning.
- Willing to develop their skills in building real data products.
Course specifications Data Science: Statistics and Machine Learning Specialization
- Publisher: Coursera
- English language
- Course duration: 20 hours and 47 minutes
- Number of courses: 5
- Instructor: Roger D. Peng , Jeff Leek, Brian Caffo,
- Training level: beginner to advanced
- Presenting Institution/University: Johns Hopkins
Course headings
Data Science: Statistics and Machine Learning Specialization course prerequisites
- Learners should complete the Data Science: Foundations using R specialization to gain the right foundation before starting this course.
Course images
Sample video of the course
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.9 GB