Search result for Exploratory data analysis methods Online Courses & Certifications
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Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)
by Matt Austin- 4.6
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Approx. 6 hours to complete
Equally important, they will learn which data sources provide the most meaningful information and tools for how and where to locate them. Interpreting Data and Telling Data's Story Analysis Methods: Overview Analysis Methods, Inferential Tools Analysis Methods: Case Study From Data to Action and Iteration A Mixed Methods Approach Use of Quantitative & Qualitative Data in QI Projects...
Data Analysis with Excel Analysis Package
by Danil Dintsis- 3.4
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1 hour on-demand video
Learn simple, fast and effective data analysis methods with the Excel Analysis Package Students learn how they can activate the Analysis Package in the Microsoft Excel, and learn and have labs for a lot of functions and methods of this package, such as:...
$11.99
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
You will learn how to find insights from data sets that do not have a target or labeled variable. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
You will learn how to find insights from data sets that do not have a target or labeled variable. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Learn Apache Spark with Python
by Edulearners Technologies- 3.6
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8 hours on-demand video
Apache Spark is the hottest Big Data skill today. And even though Spark is one of the most asked tools for data engineers, also data scientists can benefit from Spark when doing exploratory data analysis, feature extraction, supervised learning and model evaluation. What makes Spark a power tool of Big Data and Data Science?...
$12.99
Case Studies in Functional Genomics
by Rafael Irizarry , Michael Love , Vincent Carey- 0.0
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5 Weeks
We will also go over quality control of FASTQ files; aligning RNA-seq reads; visualizing alignments and move on to analyzing RNA-seq at the gene-level : counting reads in genes; Exploratory Data Analysis and variance stabilization for counts; count-based differential expression; normalization and batch effects. Data Analysis for Life Sciences: 4x: High-Dimensional Data Analysis...
$149
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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Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
SQL for Data Science Capstone Project
by Don Noxon- 3.9
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Approx. 35 hours to complete
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This community of fellow learners will provide additional input to help you refine your approach to data analysis with SQL and present your findings to clients and management. Perform descriptive statistics as part of your exploratory analysis...
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