Search result for Exploratory data analysis methods Online Courses & Certifications
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Full Stack Data Science Course - Complete 2020 Edition
by The Click Reader- 4.3
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2 hours on-demand video
Become a Full-Stack Data Scientist and learn everything about Data Science and Machine Learning. You will learn how to collect, clean, and store data into a data warehouse as well as perform Exploratory Data Analysis (EDA) on the collected data using statistical and graphical analysis....
$11.99
Apache Spark (TM) SQL for Data Analysts
by Kate Sullivan- 4.6
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Approx. 14 hours to complete
Apache Spark is one of the most widely used technologies in big data analytics. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. Common struggles with big data Big Data Needs Exploratory Data Analysis lab introduction Your turn! Exploratory Data Analysis lab 3 Exploratory Data Analysis Quiz...
Hands-on Tableau-10: Data Science Case Studies In Tableau
by TheMachineLearning.Org .- 4.2
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4 hours on-demand video
Learn Tableau-10 practical for Data Science. Real-Life Data Visualization, Data analysis,analytics Exercises Projects. Learn data visualization through Tableau 10 and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. Earthquake and geospatial data analysis Exploratory data analysis of H1B visa data...
$12.99
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Time Series Analysis and Survival Analysis. 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, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics....
Essential Design Principles for Tableau
by Govind Acharya , Hunter Whitney- 4.5
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Approx. 13 hours to complete
This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. Design Best Practices and Exploratory Analysis Design and Exploratory Analysis Introduction...
Data Analytics in Accounting Capstone
by Linden Lu- 0.0
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Approx. 18 hours to complete
This capstone is the last course in the Data Analytics in Accountancy Specialization. You will explore the characteristics of the features in the dataset through statistical analysis, exploratory data analysis and visualization....
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Exploratory Analysis (9:21) Exploratory Analysis in R Part I (7:22) Exploratory Analysis in R Part II (10:07) Exploratory Analysis in R Part III (7:26)...
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Data Visualization in Tableau
by Mat Leonard- 0.0
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Approx. 3 weeks
Data visualization skills are tremendously important in today’s data driven economy. Collecting and analysing data is just one step; to communicate your results to clients or your managers, you need to present the data in a coherent and intuitive way. Learn to use data with integrity. Learn to use calculations to create new data columns....
Free
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
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4 Weeks
This statistics and data analysis course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. We present an integrated view of data processing by highlighting the various components of these pipelines, including exploratory data analysis, feature extraction, supervised learning, and model evaluation. Exploratory data analysis, feature extraction, supervised learning, and model evaluation...
$99
Introduction to Statistics
by Guenther Walther- 4.5
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Approx. 15 hours to complete
Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. Analysis of Categorical Data Analysis of Categorical Data...
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