Search result for Exploratory data analysis process Online Courses & Certifications
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Framework for Data Collection and Analysis
by Frauke Kreuter, Ph.D. , Mariel Leonard- 4.2
Approx. 10 hours to complete
With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Visualizing the Data Generation Process Data Curation Data Analysis Measurements and Analysis Plan Planning on How to Collect Data...
Big Data - Capstone Project
by Ilkay Altintas , Amarnath Gupta- 4.4
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....
Data Mining Through Cluster Analysis Using Python
by Ermin Dedic- 4.2
1 hour on-demand video
This course is ideal for those that are interested in data mining, and it is a beginner course. This is a major component of exploratory data mining. If you are interested in data mining, and want to get a taste of how it works, this course is a great introduction!...
$12.99
Scalable Data Analysis in Python with Dask
by Packt Publishing- 3.6
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: Data, Data, Everywhere
by Google Career CertificatesTop Instructor- 4.8
Approx. 20 hours to complete
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. Origins of the data analysis process The data analysis process and this program Test your knowledge on the data analysis process Learning Log: Reflect on the data analysis process...
Predictive Modeling and Analytics
by Dan Zhang- 3.6
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
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
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
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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
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....