Search result for Exploratory data analysis example Online Courses & Certifications
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Data Visualization with R and ggplot2
by Marko Intihar- 4.7
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20.5 hours on-demand video
R Programming Language for Data Visualization. GGplot2, Data Analysis, Data Preparation, Data Sciene Tools, RStudio Then you dive into the world of exploratory data analysis where you are confronted with different datasets and creating a wide variety of statistical plots. Exploratory data analysis (EDA) (statistical plots for exploring one continuous or one discrete variable)...
$13.99
Market Segmentation Analysis
by Sara Dolnicar , Bettina Grün , Friedrich Leisch- 0.0
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5 Weeks
Learn the ten-step process to data-driven market segmentation analysis - developing skills that will enable you to meet customers' needs and gain competitive advantage. In this course, we will explore how to leverage statistical concepts into the organisation's segmentation strategy, such as the hierarchical clustering and partitioning methods, exploratory data analysis, biclustering, mixture models, and regression models....
$99
Big Data - Capstone Project
by Ilkay Altintas , Amarnath Gupta- 4.4
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Approx. 21 hours to complete
Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. In the first two weeks, we will introduce you to the data set and guide you through some exploratory analysis using tools such as Splunk and Open Office....
Scalable Data Analysis in Python with Dask
by Packt Publishing- 3.6
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3.5 hours on-demand video
Data analysts, Machine Learning professionals, and data scientists often use tools such as Pandas, Scikit-Learn, and NumPy for data analysis on their personal computer. In this course, you’ll learn to scale your data analysis. You’ll be working on large datasets and performing exploratory data analysis to investigate the dataset, then come up with the findings from the dataset....
$11.99
Foundations of Sports Analytics: Data, Representation, and Models in Sports
by Wenche Wang , Stefan Szymanski- 4.5
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Approx. 49 hours to complete
Introduction to Data Sources Accessing Data in Python I Regression Analysis - Intro to Cricket Data Using regression analysis - an example with NBA data Using regression analysis - an example with EPL data Using regression analysis - an example with MLB data Using regression analysis - an example with NHL data...
Predictive Modeling and Analytics
by Dan Zhang- 3.6
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Approx. 11 hours to complete
Welcome to the second course in the Data Analytics for Business specialization! You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. Exploratory Data Analysis and Visualizations Why Exploratory Data Analysis is Important Data Cleanup and Transformation...
Data Science: Sparklyr Basics for Beginners
by Artech Learning, LLC.- 3.7
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1.5 hours on-demand video
Learn to interact with data in Apache Spark through sparklyr and simplify machine learning model implementations. Welcome to this course: Data Science - Sparklyr Basics for Beginners. In the past year, transforming the world using data is typically achieved through disrupting and changing real processes in real industries....
$12.99
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Statistics and R
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. Data Analysis for Life Sciences: 4x: High-Dimensional Data Analysis Genomics Data Analysis: Exploratory Data Analysis...
$249
Machine Learning with Python, scikit-learn and TensorFlow
by Packt Publishing- 3.2
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9.5 hours on-demand video
In this course, you’ll learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation. You’ll cover the unique features of the library such as data flow Graphs, training, and visualization of performance with TensorBoard—all within an example-rich context using problems from multiple sources....
$12.99
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....
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