Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Machine Learning for Data Analysis certification course is a 10 hours course taught by Wesleyan University, and Coursera. If students want to learn about predicting outcomes of the suture with data available today then this Coursera course is the best option that they can avail. The process of machine learning taught through this programme will help in testing, then applying, and finally applying algorithms that are predictive for achieving different kinds of goals.
The Machine Learning for Data Analysis training is course 4 of 5 of the main Data Analysis and Interpretation Specialization programme. After this course gets completed, the candidates will be learning ways of interpretation algorithms of machine learning. These concepts will be serving as alternative methods that will help in giving answers to research questions.
The Highlights
- Online course
- English subtitles
- 10 hours of completion time
- Learn according to own time
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Wesleyan University, MiddletownCoursera |
Eligibility Criteria
Certification Qualifying Details
The Machine Learning for Data Analysis certification by Coursera is offered after it is completed.
What you will learn
The Machine Learning for Data Analysis certification syllabus will help in applying, testing, and interpreting machine learning techniques, and algorithms using data analysis that can serve as research question answers.
Who it is for
The Machine Learning for Data Analysis certification will be helping candidates to pursue careers as ML Engineers.
Admission Details
To get admission to the Machine Learning for Data Analysis classes, the students can follow these steps:
Step 1: Follow the official URL: https://www.coursera.org/learn/machine-learning-data-analysis
Step 2: Then scroll down to the place where the students get to the ‘Enrol Now Button’.
Step 3: Click on the button to proceed ahead towards the admission process.
The Syllabus
Videos
- What Is Machine Learning?
- Machine Learning and the Bias Variance Trade-Off
- What Is a Decision Tree?
- What is the Process of Growing a Decision Tree?
- Building a Decision Tree with SAS
- Strengths and Weaknesses of Decision Trees in SAS
- Building a Decision Tree with Python
Readings
- Some Guidance for Learners New to the Specialization1
- SAS or Python - Which to Choose?
- Getting Started with SAS
- Getting Started with Python
- Course Codebooks
- Course Data Sets
- Uploading Your Own Data to SAS10m
- Data Set for Decision Tree Videos (tree_addhealth.csv)
- SAS Code: Decision Trees
- CART Paper - Prevention Science
- Python Code: Decision Trees
- Installing Graphviz and pydotplus
- Getting Set up for Assignments
- Tumblr Instructions
- Assignment Example
Videos
- What Is A Random Forest and How Is It "Grown"?
- Building a Random Forest with SAS
- Building a Random Forest with Python
- Validation and Cross-Validation
Readings
- SAS code: Random Forests
- The HPForest Procedure in SAS
- Python Code: Random Forests
- Assignment Example
Videos
- What is Lasso Regression?
- Testing a Lasso Regression with SAS
- Data Management for Lasso Regression in Python
- Testing a Lasso Regression Model in Python
- Lasso Regression Limitations
Readings
- SAS Code: Lasso Regression
- Python Code: Lasso Regression
- Assignment Example
Videos
- What Is a k-Means Cluster Analysis?
- Running a k-Means Cluster Analysis in SAS, pt. 1
- Running a k-Means Cluster Analysis in SAS, pt. 2
- Running a k-Means Cluster Analysis in Python, pt. 1
- Running a k-Means Cluster Analysis in Python, pt. 2
- k-Means Cluster Analysis Limitations
Readings
- SAS Code: k-Means Cluster Analysis
- Python Code: k-Means Cluster Analysis
- Assignment Example
Instructors
Wesleyan University, Middletown Frequently Asked Questions (FAQ's)
4.2 stars are awarded as a rating for this online course.
The certificate offered is shareable.
Yes, logging is a necessary step for giving reviews for this programme.
Yes, the syllabus comprises theory in the form of video lectures, along with readings.