دوراتنا

Digital Humanities in Practice: From Research Questions to Results

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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  • 14
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الاشتراك الشهري
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R Data Science Capstone Project

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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  • 21
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SQL for Data Science with R

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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  • Self Paced
  • 21
  • الإنجليزية
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R Programming Basics for Data Science

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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  • 13
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Python Basics for Data Science

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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  • الإنجليزية
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Data Science and Machine Learning Capstone Project

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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  • Self Paced
  • 28
  • الإنجليزية
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Data Science Tools

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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  • 7
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The Data Science Method

The Data Science Method

Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.

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  • Self Paced
  • الإنجليزية
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Introduction to Data Science

Introduction to Data Science

Learn about the world of data science first-hand from real data scientists.

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  • التعلم الذاتي
  • 33
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SQL for Data Science

SQL for Data Science

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.

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  • 27
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Introduction to SQL

Introduction to SQL

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.

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  • 15
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Introduction to Designing Data Lakes on AWS

Introduction to Designing Data Lakes on AWS

In this class, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science!

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  • 6
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Collaborative Data Science for Healthcare

Collaborative Data Science for Healthcare

Data and learning should be at the front and center of healthcare delivery. In this course, we bring together computer scientists, health providers and social scientists collaborating to improve population health by analyzing and mining data routinely collected in the process of patient care.

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  • الإنجليزية
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Introduction to Computational Thinking and Data Science

Introduction to Computational Thinking and Data Science

6.00.2x is an introduction to using computation to understand real-world phenomena.

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  • Self Paced
  • الإنجليزية
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Data Science Ethics

Data Science Ethics

Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.

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  • الإنجليزية
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Principles, Statistical and Computational Tools for Reproducible Data Science

Principles, Statistical and Computational Tools for Reproducible Data Science

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

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  • Self Paced
  • 25
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Data Science: Capstone

Data Science: Capstone

Show what you've learned from the Professional Certificate Program in Data Science.

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  • Self Paced
  • 44
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Data Science: Machine Learning

Data Science: Machine Learning

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

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  • Self Paced
  • 25
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Data Science: Linear Regression

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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  • Self Paced
  • 35
  • الإنجليزية
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Data Science: Wrangling

Data Science: Wrangling

Learn to process and convert raw data into formats needed for analysis.

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  • Self Paced
  • 24
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Data Science: Inference and Modeling

Data Science: Inference and Modeling

Learn inference and modeling, two of the most widely used statistical tools in data analysis.

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  • Self Paced
  • 12
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Data Science: Probability

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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  • Self Paced
  • 12
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Data Science: Visualization

Data Science: Visualization

Learn basic data visualization principles and how to apply them using ggplot2.

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  • Self Paced
  • 12
  • الإنجليزية
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Data Science: R Basics

Data Science: R Basics

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

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  • Self Paced
  • 12
  • الإنجليزية
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Programming for Data Science

Programming for Data Science

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

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  • الإنجليزية
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