Search result for Example of data analysis Online Courses & Certifications
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Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
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Approx. 9 hours to complete
We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Stages of Data Analysis...
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Strengths and Weaknesses of Decision Trees in SAS Course Data Sets Uploading Your Own Data to SAS...
Introduction to Data Analytics
by Rav Ahuja- 4.8
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Approx. 11 hours to complete
This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will learn the responsibilities of a Data Analyst and exactly what data analysis entails. Overview of Communicating and Sharing Data Analysis Findings...
Bayesian Statistics: From Concept to Data Analysis
by Herbert Lee- 4.6
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Approx. 12 hours to complete
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. Data analysis example in R Data analysis example in Excel R and Excel code from example analysis...
A Crash Course in Causality: Inferring Causal Effects from Observational Data
by Jason A. Roy, Ph.D.- 4.7
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Approx. 18 hours to complete
Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Learners will have the opportunity to apply these methods to example data in R (free statistical software environment)....
Techniques of Design-Oriented Analysis
by Dr. Dragan Maksimovic- 4.8
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Approx. 12 hours to complete
The course is focused on techniques of design-oriented analysis that allow you to quickly gain insights into models of switching power converters and to translate these insights into practical converter designs. ● Apply techniques of design-oriented analysis to analysis, design, and simulations of switching converters Analysis of SEPIC Frequency Responses Using EET...
Metagenomics applied to surveillance of pathogens and antimicrobial resistance
by Ana Sofia Ribeiro Duarte , Tine Hald , Sünje Johanna Pamp , Patrick Munk , Liese Van Gompel , Valeria Bortolaia , Pimlapas Leekitcharoenphon- 4.7
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Approx. 15 hours to complete
- the principles behind various tools available for analysis of metagenomics data General introduction to bioinformatics analysis of metagenomics data Overview of available metagenomic analysis tools Real example of metagenomic analysis - lessons learned General introduction to bioinformatics analysis of metagenomics data Analysis and visualization of read count data Analysis and visualization of read count data...
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Data Modeling and Regression Analysis in Business
by Sridhar Seshadri- 4.4
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Approx. 25 hours to complete
The first set of tools will explore data description, statistical inference, and regression. In the next segment, students will learn about tools used for identifying important features in the dataset that can either reduce the complexity or help identify important features of the data or further help explain behavior. Welcome to Data Modeling and Regression Analysis in Business...
Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. Application: Additional applications of consumption data Perform data analysis of real-world alternative datasets using Python....
Intro to Data Analysis
by Caroline Buckey- 0.0
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Timeline Approx. 6 Weeks
lesson 1 Data Analysis Process Learn about the data analysis process. Complete an analysis of Udacity student data using pure Python, with few additional libraries. Group your data and to combine data from multiple files. lesson 4 Investigate a Dataset Use NumPy and Pandas to go through the data analysis process on one of a list of recommended datasets....
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