Coursera – IBM Machine Learning Professional Certificate 2022-6

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Description

IBM Machine Learning Professional Certificate is a project-based machine learning training package prepared in partnership with IBM and Coursera Academy. In this training course, in addition to the basic topics of machine learning, other important topics such as time series analysis and analysis, survival analysis or survival, supervised learning, unsupervised learning, deep learning, reinforcement learning, etc. will also be discussed. Machine learning and deep learning are among the most important and in-demand work skills used in almost all knowledge-based companies. Machine learning is a subset of artificial intelligence and its important applications, and the number of job openings has grown by more than 74% annually.

This training package consists of 6 separate courses and in addition to theoretical topics, it includes a set of practical exercises, algorithms and the best approaches for developing systems based on machine learning. This course is by no means suitable for beginner students and the student is expected to have a little practical experience and background knowledge in Python programming, statistics and algebra.

What you will learn in IBM Machine Learning Professional Certificate

Data science
Deep learning
Artificial intelligence and its various applications and subfields
machine learning
Basics of Python programming language
Feature engineering or feature extraction or feature discovery
Statistical hypothesis testing
Exploratory data analysis or EDA for short
regression analysis
Supervised learning
Linear regression or linear regression or linear regression
Stepwise regression
And …

Course Specifications

Publisher: Coursera
Instructors: Joseph Santarcangelo, Svitlana (Lana) Kramar, Mark J Grover, Miguel Maldonado and Yan Luo
Language: English
Level: Intermediate
Institution/university: IBM
Number of Courses: 6
Duration: Approximately 7 months to complete – Suggested pace of 3 hours/week

Courses included:

Course 1

Exploratory Data Analysis for Machine Learning

Course 2

Supervised Machine Learning: Regression

Course 3

Supervised Machine Learning: Classification

Course 4

Unsupervised Machine Learning

Course 5

Deep Learning and Reinforcement Learning

Course 6

Specialized Models: Time Series and Survival Analysis

IBM Machine Learning Professional Certificate Prerequisites

What background knowledge is necessary?

Ideally, you should have some background in Math, Stats, and computer programming, as most demonstrations, labs, and projects use Python programming language and concepts like matrix factorization, convergence, or stochastic gradient descent. This Professional Certificate is designed specifically for scientists, software developers, and business analysts who want to round their analytical skills in Data Science, AI, and Machine Learning, but is also appropriate for anyone with a passion for data and basic Math, Statistics, and programming skills.