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دوراتنا
Data Science: Linear Regression
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
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Course by
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Self Paced
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35
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الإنجليزية
Data Science: Wrangling
Learn to process and convert raw data into formats needed for analysis.
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Course by
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Self Paced
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24
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الإنجليزية
Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
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Course by
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Self Paced
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12
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الإنجليزية
Data Science: Probability
Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.
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Course by
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Self Paced
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12
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الإنجليزية
Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
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Course by
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Self Paced
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12
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الإنجليزية
Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
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Course by
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Self Paced
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12
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الإنجليزية
Digital Humanities in Practice: From Research Questions to Results
Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.
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Course by
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14
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الإنجليزية
MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (AWS) - Deploying AI & ML Models in Production using Amazon Web Services.
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Course by
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35
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الإنجليزية
Python for Data Science Project
This mini-course is intended for you to demonstrate foundational Python skills for working with data.
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الإنجليزية
Analytics for Decision Making
Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions.
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Course by
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2
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الإنجليزية
Predictive Analytics: Basic Modeling Techniques
What is Predictive Analytics? These methods lie behind the most transformative technologies of the last decade, that go under the more general name Artificial Intelligence or AI. In this course, the focus is on the skills that will allow you to fit a model to data, and measure how well it performs. We will be doing enough data science so that you get hands-on familiarity with understanding a dataset, fitting a model to it, and generating predictions.
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Course by
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26
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الإنجليزية
MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course, MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform.
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Course by
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38
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الإنجليزية
MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course, MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning
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Course by
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26
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الإنجليزية
MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course - MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services.
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Course by
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الإنجليزية
MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (GCP) - Deploying AI & ML Models in Production using Google Cloud Platform
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Course by
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Self Paced
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26
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الإنجليزية
MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (Azure) - Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
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Course by
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Self Paced
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28
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الإنجليزية
Data Science Tools
Learn about the most popular data science tools, including how to use them and what their features are.
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Course by
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7
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الإنجليزية
Data Science for Construction, Architecture and Engineering
This course introduces data science skills targeting applications in the design, construction, and operations of buildings. You will learn practical coding within this context with an emphasis on basic Python programming and the Pandas library.
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5
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الإنجليزية
Ethics in AI and Data Science
Learn how to build and incorporate ethical principles and frameworks in your AI and Data Science technology and business initiatives to add transparency, build trust, drive adoption, and lead with trust and responsibility.
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18
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الإنجليزية
R Data Science Capstone Project
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
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Course by
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21
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الإنجليزية
SQL for Data Science with R
Build a baseline understanding about relational database concepts and learn how to apply foundational knowledge of the SQL and R languages through a series of hands-on labs to practice building and running SQL queries.
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Course by
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Self Paced
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21
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الإنجليزية
R Programming Basics for Data Science
This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.
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Course by
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13
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الإنجليزية
Python Basics for Data Science
This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!
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Course by
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الإنجليزية
Data Science and Machine Learning Capstone Project
Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.
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Course by
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Self Paced
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28
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الإنجليزية