Search result for Data storage and analysis Online Courses & Certifications
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Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 21 hours to complete
Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Different modeling approaches can be chosen to detect interesting patterns in the data and identify hidden relationships. Types of Data Science Questions Descriptive and Exploratory Data Analysis Data Exploration and Wrangling...
Data Manipulation at Scale: Systems and Algorithms
by Bill Howe- 4.3
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Approx. 20 hours to complete
Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields. Identify and use the programming models associated with scalable data manipulation, including relational algebra, mapreduce, and other data flow models....
Introduction to R Programming for Data Science
by Yan Luo- 4.8
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Approx. 10 hours to complete
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. Math, Variables, and Strings...
Social Network Analysis
by Martin Hilbert- 4.7
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Approx. 10 hours to complete
While such network structures always existed, computational social science has helped to reveal and to study them more systematically. This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. Social Network Analysis Network Analysis Software Data Wrangling Analyze a social network through data wrangling and visualizing a network....
Graph Search, Shortest Paths, and Data Structures
by Tim Roughgarden- 4.8
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Approx. 15 hours to complete
The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis). Overview, Resources, and Policies Pathological Data Sets and Universal Hashing Motivation...
Introduction to Systematic Review and Meta-Analysis
by Tianjing Li, MD, MHS, PHD , Kay Dickersin, PhD- 4.8
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Approx. 14 hours to complete
We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. - Describe the process used to collect and extract data from reports of clinical trials Lecture 1C: Producers and Users of Systematic Reviews Lecture 2B: Deciding the Type and Scope of Your Question Lecture 7D: Types of Data and Effect Measures...
The Economics of Agro-Food Value Chains
by Hannes Lang , Luisa Menapace , Faical Akaichi , Francesco Bimbo , Montserrat Costa-Font , Carlo Russo , Chenguang Li- 4.5
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Approx. 44 hours to complete
Data Types and Data Collection Part 1: Data Analysis Part 2: Data Analysis Part 3: Data Analysis Part 4: Data Analysis Data Types and Data Collection Part 1: Data Analysis Part 2: Data Analysis Part 3: Data Analysis Part 4: Data Analysis Part 3: Models and Diffusion of Innovation Part 1: Drivers and Barriers of Innovation...
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Introduction to Automated Analysis
by Mike , Kevin Wendt- 4.1
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Approx. 19 hours to complete
The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs. for analysis and testing of software This knowledge would benefit several typical roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast....
Google Cloud Professional Data Engineer Course [2019 Update]
by Samuel Lee- 4.2
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4.5 hours on-demand video
Take this course to prepare for the GCP Data Engineers Exam. Transactional consistency for various data storage solutions. How to migrate data into GCP - Transfer Appliance & Storage Transfer Service Hi I’m Sam, a big data engineer, full stack web developer and machine learning/AI Enthusiast teaching you GCP in the most efficient and down to earth approach....
$15.99
Wind resources for renewable energies
by Alexandre Stegner , Philippe Drobinski , Riwal Plougoven , Martial Haeffelin- 3.7
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Approx. 17 hours to complete
Finally, you will have the opportunity to get hands-on experience with real in-situ data sets and apply what you have learned on wind resource assessment. Equations of motion:GEOSTROPHIC AND HYDROSTATIC BALANCE ATMOSPHERIC AND MARINE BOUNDARY LAYERS Generic wind profiles: logarithmic, power law and others DATA ANALYSIS PROJECT – WIND RESOURCE ASSESSMENT Introduction to the module Data Analysis Project...
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