Search result for Exploratory data analysis process Online Courses & Certifications
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Six Sigma Tools for Analyze
by Christina Scherrer, PhD , David Cook, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.7
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Approx. 8 hours to complete
You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. Process Analysis Tools Process Analysis Tools Process Analysis Tools Practice Process Analysis Tools Data Analysis Data Analysis Practice Quiz...
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....
Genomic Data Science Capstone
by Jeff Leek, PhD , Kasper Daniel Hansen, PhD- 4.5
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Approx. 12 hours to complete
You'll work with a real data set to perform analyses and prepare a report of your findings. Getting the data from SRA Exploratory Analysis Statistical Analysis Gene Set Analysis Describe Your Analysis...
Data Processing and Analysis with Excel
by Beth Prince-Bradbury- 0.0
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4 Weeks
Learn to use Excel to organize and clean data so it can be manipulated and analyzed. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings. ● Perform basic data organization ● Develop a data analysis plan...
$249
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....
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
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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
Business intelligence and data warehousing
by María del Pilar Ángeles- 3.9
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Approx. 10 hours to complete
This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. The process of data mining...
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. Data Basics Introduction to Data Project Exploratory Data Analysis and Introduction to Inference Visualizing Numerical Data Transforming Data Exploratory Data Analysis and Introduction to Inference Project Data Analysis Project Example Data Analysis Project...
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