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Introduction to GIS Mapping
by Don BoyesTop Instructor- 4.9
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Approx. 14 hours to complete
In the course project, you will create your own GIS data by tracing geographic features from a satellite image for a location and theme of your choice. Examples of geospatial data Mapping the real world with vector and raster data Vector data model Creating vector data by digitizing in ArcMap Raster data model...
Information Visualization: Advanced Techniques
by Enrico Bertini , Cristian Felix- 4.7
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Approx. 16 hours to complete
These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. Goal: Analyze the design space of visualization solutions for various kinds of data visualization problems. Visualizing Geographical Data Visualizing Network Data Tabular Data Visualizing Temporal Data Visualizing Temporal Data...
Business Analytics Executive Overview
by Douglas B. Laney- 4.6
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Approx. 17 hours to complete
Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Lecture 1-5-3 Where to Put the Data and How to Get it There?...
Detect and Mitigate Ethical Risks
by Renée Cummings , Jennifer Fischer , Eleanor 'Nell' Watson- 0.0
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Approx. 20 hours to complete
Private Data Third-Party Data Secondary Use of Data Combined Data Sources Track Customer Data Minimize Private Data Sharing Minimize Private Data Collection Data Protection Policies Overfitting to Training Data Radioactive Data Tracing Evaluate Training Data and Models Protect the Security of Data in Storage Protect the Security of Data in Transit...
Android Basics: Data Storage
by Katherine Kuan , Jessica Lin- 0.0
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Approx. 8 weeks
Data storage is an important facet of your favorite Android apps, and it can help you make compelling apps! Data storage allows your users to leave their mark on your app and have that mark persist over time. Additionally, building data storage into your Android app is a skill that many employers look for when selecting Android developers....
Free
Intro to Descriptive Statistics
by Ronald Rogers , Katie Kormanik , Sean Laraway- 0.0
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Approx. 2 months
lesson 2 Visualizing Data Take your data and display it to the world. lesson 4 Variability Quantify the spread of data using the range and standard deviation. Identify outliers in data sets using the concept of the interquartile range....
Free
Creating Dashboards and Storytelling with Tableau
by Govind Acharya , Hunter Whitney- 4.6
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Approx. 15 hours to complete
Planning and Preproduction: Aligning your Audience, Stakeholders, and Data Prioritizing, Optimizing, and Designing the Data Story Journalistic Data Stories Data Quality Dashboard and Storytelling with Data Tell the Story of Your Data Tell the Story of Your Data Introduction Bringing Data to Life: Emotions and Data Storytelling False Narratives and Data Storytelling...
Spark
by David Drummond , Judit Lantos- 0.0
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Approx. 10 hours
Spark is a top open source project used by the largest companies and startups around the world to efficiently analyze messy data sets. Master how to work with big data and build machine learning models at scale using Spark!...
Free
Python Project for Data Engineering
by Ramesh Sannareddy , Joseph Santarcangelo- 4.6
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Approx. 5 hours to complete
Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for analysis. Extracting Data using API Demonstrate your Skills in Python - the language of choice for Data Engineering Implement Webscraping, and use APIs to extract data in Python...
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. Practical Data Science Use case and data set Data ingestion and exploration Data visualization Week 2: Data Bias and Feature Importance...
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