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Executive Data Science Capstone
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.7
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Approx. 2 hours to complete
The Executive Data Science Capstone, the specialization’s culminating project, is an opportunity for people who have completed all four EDS courses to apply what they've learned to a real-world scenario developed in collaboration with Zillow, a data-driven online real estate and rental marketplace, and DataCamp, a web-based platform for data science programming....
Studying Cities: Social Science Methods for Urban Research
by Laura Neijenhuis , Jan Fransen , Dorcas Nthoki , Rick Wolff , Maria Zwanenburg- 4.7
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Approx. 7 hours to complete
Quantitative and Qualitative Data Primary Quantitative Data Collection Secondary Quantitative Data Collection Primary Qualitative Data Collection - Part One Primary Qualitative Data Collection - Part Two Qualitative Data Analysis: Data Management Qualitative Data Analysis: Introduction to Coding Qualitative Data Analysis: Tips for Coding Qualitative Data Analysis: How to analyse the data...
Managing Big Data in Clusters and Cloud Storage
by Ian Cook , Glynn Durham- 4.7
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Approx. 21 hours to complete
In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. Loading Data with Dynamic Partition Loading Data with Static Partitioning...
Promote the Ethical Use of Data-Driven Technologies
by Renée Cummings , Aaron Hui , Megan Smith Branch , Eleanor 'Nell' Watson , Tania De Gasperis- 4.7
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Approx. 21 hours to complete
The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Big Data Working with Big Data Data Analytics Data Science Pipeline Ethical Considerations for Data Science Benefits of Ethical Data Science Distinguish between artificial intelligence and data science concepts. Protect data privacy with ethical and legal standards....
Getting Started with Google Sheets
by Google Cloud Training- 4.7
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Approx. 5 hours to complete
Next, you’ll learn how formulas, functions and a few exclusive Google Sheets features can accelerate your data analysis. Movie Data Spreadsheet Working with formulas and functions: how to import and analyze your data Import data to your sheet Analyze your data Sort & filter your data How to import and analyze your data Highlight key data points in your spreadsheet...
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
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Approx. 27 hours to complete
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
Practical SAS Programming and Certification Review
by Stacey Syphus , Peter Styliadis- 4.9
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Approx. 21 hours to complete
SAS® Certification Prep Guide Review - Controlling DATA Step Processing SAS® Certification Prep Guide Review - Summarizing Data SAS® Certification Prep Guide Review - Manipulating Data with Functions Controlling DATA Step Processing Review Questions Summarizing Data Review Questions Manipulating Data with Functions Review Questions Using the DATA Step to Restructure Tables...
Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
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Approx. 9 hours to complete
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. Coming from Python 2 - Encoding Data in Python 3 Exploring Data Sources (Project) Identifying Your Data Source - Introduction List of Data Sources (Instructional Staff Curated) Spidering and Modeling Email Data Spidering and Modeling Email Data - Introduction...
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
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Approx. 9 hours to complete
Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics. LINCS Data and Signature Generation Centers BD2K-LINCS Data Coordination and Integration Center Introduction to LINCS L1000 Data...
Introduction to Data Analysis Using Excel
by Sharad Borle- 4.7
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Approx. 20 hours to complete
It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. In this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel. • Reading data into Excel using various formats Application of Pivot Tables to Numeric Data...
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