Search result for Definition of data analysis method Online Courses & Certifications
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Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. edu/maayanlab/) from the Icahn School of Medicine at Mount Sinai, but also other freely available data analysis and visualization tools. Deep Sequencing Data Processing and Analysis...
Applied Data Science Capstone
by Joseph Santarcangelo , Alex Aklson- 4.7
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Approx. 10 hours to complete
This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. Exploratory Data Analysis (EDA) Exploratory Data Analysis Overview Exploratory Data Analysis using SQL Exploratory Data Analysis Elements Of A Successful Data Findings Report...
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 Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
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Approx. 10 hours to complete
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application....
Advanced Data Science Capstone
by Romeo Kienzler- 4.6
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Approx. 9 hours to complete
This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability....
Marketing Strategy Capstone Project
by Ramon Diaz-Bernardo- 4.6
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Approx. 30 hours to complete
Each week is divided into the different components of the Marketing Strategy: Market Analysis, Marketing Strategy, Marketing Mix Implementation and Expected Results. Outline of the Capstone project and evaluation process. Conducting market analysis through understanding market research and consumer behavior. Let´s talk about Market Analysis for Hotel Ipsum Evaluation of alternatives, purchase and post-purchase evaluation....
Precalculus: Mathematical Modeling
by Joseph W. Cutrone, PhDTop Instructor- 4.5
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Approx. 10 hours to complete
This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. Examples of Exponential Modeling Modeling with Cyclic Data Module 4: Dimensional Analysis Dimensional Analysis...
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Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Solution Structures of Spatial Data Science Problems...
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. Identify which causal assumptions are necessary for each type of statistical method Data analysis project - analyze data in R using propensity score matching...
The Development of Mobile Health Monitoring Systems
by Evgenii Pustozerov , Yuliya Zhivolupova , Aleksei Anisimov- 0.0
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Approx. 21 hours to complete
This join course created by SPSU and ETU includes 5 modules dedicated to different stages of the system development. Working on this task throughout the course, you will acquire a knowledge on how these branches of science, including electronics, mathematics, data science and programming are applied together in a real project. Exploration of Data Sample Analysis of Variance...
