Search result for Exploratory data analysis example Online Courses & Certifications
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How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
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Approx. 54 hours to complete
Being able to achieve high ranks consistently can help you accelerate your career in data science. - Learn how to preprocess the data and generate new features from various sources such as text and images. Exploratory Data Analysis Exploratory data analysis Building intuition about the data Exploring anonymized data Exploratory data analysis...
Data Visualization Techniques
by Packt Publishing- 3.3
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2.5 hours on-demand video
building a variety of data visualizations using multiple tools and been creating data visualizations for more than 10 years using a variety Text analysis is also an area of Exploratory to begin understanding and visualizing underlying patterns experience in building data visualizations has intersected with many He is also highly engaged in the world of data...
$12.99
Text Mining and NLP using R and Python
by ExcelR Solutions- 3.2
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3.5 hours on-demand video
Data Science Text Mining and NLP using R and Python During this course you will be introduced to one of the most important and fast catching up data mining concept. Work with a live example of extraction of data from Web and perform all the facets of text mining using R and Python...
$12.99
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. Types of Data Science Questions Descriptive and Exploratory Data Analysis D​escribe different types of data analytic questions Conduct hypothesis tests of your data A​pply machine learning workflows to detect complex patterns in your data...
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
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. Data Exchange Between Device And Personal Computer Package Data Transferring Plotting Real-Time Data with Arduino Hardware Package Saving Data from Arduino Virtual COM-Port...
Metagenomics applied to surveillance of pathogens and antimicrobial resistance
by Ana Sofia Ribeiro Duarte , Tine Hald , SĂĽnje 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...
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources....
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Quantitative Research
by Susan Berman , Olivier Rubel, PhD- 4.4
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Approx. 17 hours to complete
Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Reviewing Your Data and Looking for Errors Descriptive Analysis: Nominal Data Descriptive Analysis: Ordinal and Interval Data Testing Hypotheses, Part 2: An Example Application Association Analysis: Correlation Analysis Causal Analysis Quantitative Data Analysis Techniques for Data-Driven Marketing...
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks. You will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. Types of Data...
People Analytics 101 : HR Analytics Fundamentals
by Unlock HR- 4
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9 hours on-demand video
Don't worry we will not going to perform complex talent management data analysis, but guide you to reach that step. How to collect data to solve that problem How to Find solutions using basic analytics technique or you can say Exploratory Data analytics. Oh, and wait, you are also learning data analysis techniques, which you can apply anywhere....
$14.99
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