- Introduction to Data Science
- Working with Data Types and Operators in Python
- Writing Functions in Python
- Popular Data Science Packages in Python
- Advanced Functions
- Data Manipulation and Analysis with Pandas
- Data Visualization with Matplotlib
- Random Variables and Statistical Inferences
- Statistical Distributions and Hypothesis Testing
- Data Cleaning
- Exploratory Data Analysis
- Getting Started with Linear Algebra for Machine Learning
Online
5 Months
$ 2,091 2,350
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
8-10 Hours Per Week
|
Course overview
The Applied Machine Learning online programme comprehensively touches upon the various aspects of the programming language Python, Data Analytics, and Machine Learning. This course not only provides you with theoretical knowledge, but also helps you acquire practical skills via 12 different application projects.
In the Applied Machine Learning certificate course, you will have access to more than 240 video lectures, along with living online sessions. Moreover, the course is curated by Columbia University in collaboration with Emeritus. You will learn under the guidance of subject matter experts, as well as practitioners in the domain of Machine Learning.
Besides, you will cover the syllabus for the Applied Machine Learning programme in two parts, each comprising 12 modules to facilitate comprehensive learning of the subject. You will have to dedicate at least 8-10 hours weekly, along with additional practice from your end, to make the most of this course.
To assess your understanding of the lessons, you will also have a total of 45 quizzes and tests in the Applied Machine Learning online course.
The highlights
5-months course
Certification available
Curated by Columbia University & Emeritus
240+ videos
Live online sessions
12 Application projects
45 Quizzes and assignments
18 Moderated discussion boards
20+ QnA sessions
Comprehensive programme
Program offerings
- Live online teaching
- 240+ online lectures
- 45 quizzes and assignments
- 18 moderated discussion boards
- 20+ q&a sessions
- 12 application projects
- Extensive programme
- Skilled faculty
Course and certificate fees
Fees information
- The course fee for the Applied Machine Learning program is stated below.
- The course offers flexible payment options and special group enrolment pricing that will reduce the price if the candidate joins the program with their colleagues.
Course | Fee in USD |
Applied Machine Learning course | US$ 2,350 |
certificate availability
certificate providing authority
Eligibility criteria
To pursue the Applied Machine Learning online certification, you need to have an undergraduate-level knowledge of the following topics – Statistics, Calculus, Linear Algebra, and Probability.
Further, you will be rewarded with the certification after you will successfully finish the Applied Machine Learning programme.
What you will learn
The Applied Machine Learning online course will help you learn the following:
How to outline a model for your data and make it learn.
Construct regression models to forecast an unknown output from a given set of inputs.
Curate classification models to sort datasets like email messages as spam or non-spam.
Develop unsupervised models like topic models or recommender systems to extract concealed patterns from an enormous amount of data
Find out hidden factors in data to increase the accuracy of your model's predictions.
Make probabilistic data models foretell an array of possible outcomes that account for real-world risks and uncertainties.
Who it is for
A specialised course in machine learning, the Applied Machine Learning online course will be valuable for the following individuals:
Machine Learning enthusiasts
Data scientists
Statisticians
Mathematicians
Data engineers
Big Data Engineers
Software developers
Data Science enthusiasts
Anyone who wants to upskill.
Admission details
Step I: Find the necessary details for the Applied Machine Learning certification on the program URL.
Step II: After reading the page, click on the 'Apply Now' button, which is given at the bottom of the web page.
Step III: You will be directed to the registration page. Fill out your details and pay the required fee.
Step IV: After successful registration, you'll have to appear for a maths assessment test. The details of the test are provided on the course details page. You'll have two attempts to clear the test. If you pass the assessment, you'll get admission to the course. Otherwise, the fee you submitted will be refunded, and your enrolment will be canceled.
Filling the form
Signing up for the Applied Machine Learning online accreditation does not necessitate filling an application form. Signing up with Emeritus and paying the course fee will do the job.
The syllabus
Python for Data Analytics (Video content and delivery by Emeritus)
Applied Machine Learning (Video content from Columbia Engineering and delivery by Emeritus)
Supervised Learning
- Regression
- Ridge Regression
- Bayesian Methods
- Classification Algorithms
- Logistic Regression, Kernel Methods, and Gaussian Processes
- Support Vector Machines and Decision Trees
- Boosting and K-Means Clustering
Unsupervised Learning
- Clustering Methods
- Recommendation Systems
- Principal Component Analysis and Markov Models
- Hidden Markov Models and Kalman Filtering
- Association Analysis and Model Selection
How it helps
Columbia University’s Applied Machine Learning course is an all-inclusive course that makes you learn all about Data Analytics, Machine Learning, and Python. You should choose this course because it has various benefits.
Due to the advancement in technology, the demand for candidates skilled in Data Science and Machine Learning is increasing. Also because Machine Learning is the basis for Artificial Intelligence which has often been cited as the future of technology.
Thus, the Applied Machine Learning certification course will improve your problem-solving skills to solve various work-related issues. You will become capable of leading a machine learning project or implementing it in your software application. Moreover, the course is immensely useful for people who want to transition to a data scientist or a machine learning related role.
Instructors
Dr John W. Paisley
Assistant Professor
Columbia University,...
Ph.D
FAQs
Yes. In the Applied Machine Learning course, you’ll be required to finish three projects that will be based on machine learning concepts that you would’ve learnt.
The programme will run for five months straight.
Columbia Engineering Executive Education is collaborating with Emeritus to make this course available for you.
You will have to study for eight to ten hours every week to finish this course successfully. Additional practice from your side will prove beneficial for you in the long run as the course is practically based.
Machine Learning and Artificial Intelligence are the future. No matter what your occupation is, after some years, you are going to see its integration with artificial intelligence. So, you should opt for this course to stay at the top of your game.