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Data-Driven Process Improvement
by Peter Baumgartner , Akshay Sivadas- 4.4
Approx. 9 hours to complete
The course covers: the business case for IoT (Internet of Things), the strategic importance of aligning operations and performance goals, best practices for collecting data, and facilitating a process mapping activity to visualize and analyze a process’s flow of materials and information. Dan Gerena Discusses the Data Strategy Journey Prioritize data gaps for root cause analysis...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
Approx. 6 hours to complete
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. This is the first course in the Genomic Data Science Specialization. Memory and Data Structures Data Science Technology Data Sharing Plans Plotting Your Data Course Project Instructions and Reading Quiz 4: Data Science Technology...
Process Data from Dirty to Clean
by Google Career CertificatesTop Instructor- 4.8
Approx. 22 hours to complete
This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. Joseph: Black and African American inclusion in the data industry Kate: My career path as a data analyst Course challenge Get ready for the course challenge...
Supply Chain Analytics
by Yao Zhao- 4.7
Approx. 9 hours to complete
Welcome to Supply Chain Analytics - the art and science of applying data analytics to assess and improve supply chain performance! Supply chain management is becoming increasingly data driven. Course Overview Competitive Analysis and Benchmarking Is This Course Right For Me? Data Collection, Cost Estimation and Supply Chain Analytics Warehouse Pick / Pack Cost Estimate, Sales and Inventory Data...
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics
by Nicole Ball- 4.8
Approx. 5 hours to complete
In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics. Course Overview and Introduction to Advanced Topics Restructuring Data for Geographic Mapping Introduction to Restructuring Data for Geographic Mapping...
Share Data Through the Art of Visualization
by Google Career CertificatesTop Instructor- 4.5
Approx. 24 hours to complete
This is the sixth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll learn how to visualize and present your data findings as you complete the data analysis process. Describe the use of data visualizations to talk about data and the results of data analysis...
Data Visualization with Advanced Excel
by Alex Mannella- 4.8
Approx. 15 hours to complete
You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel's built in tools including, solver, data tables, scenario manager and goal seek. Welcome to Course 3...
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Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
Approx. 9 hours to complete
In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. LINCS Data and Signature Generation Centers BD2K-LINCS Data Coordination and Integration Center Introduction to LINCS L1000 Data...
Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
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...
Foundations of Sports Analytics: Data, Representation, and Models in Sports
by Wenche Wang , Stefan Szymanski- 4.5
Approx. 49 hours to complete
This course does not simply explain methods and techniques, it enables the learner to apply them to sports datasets of interest so that they can generate their own results, rather than relying on the data processing performed by others. Regression Analysis - Intro to Cricket Data Using regression analysis - an example with NBA data...