Search result for Exploratory data analysis Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 116 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
-
![]()
![]()
![]()
![]()
![]()
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....
Data Processing and Analysis with Excel
by Beth Prince-Bradbury- 0.0
-
![]()
![]()
![]()
![]()
![]()
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
-
![]()
![]()
![]()
![]()
![]()
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
-
![]()
![]()
![]()
![]()
![]()
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
-
![]()
![]()
![]()
![]()
![]()
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)...
Data Visualization in Tableau
by Mat Leonard- 0.0
-
![]()
![]()
![]()
![]()
![]()
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
-
![]()
![]()
![]()
![]()
![]()
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 Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
-
![]()
![]()
![]()
![]()
![]()
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...
Introduction to Statistics
by Guenther Walther- 4.5
-
![]()
![]()
![]()
![]()
![]()
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...
Marketing Analytics Capstone Project
by David Schweidel- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
By the end of this capstone project, you will have conducted exploratory data analysis, examined pairwise relationships among different variables, and developed and tested a predictive model to solve a marketing analytics problem. Exploratory Analysis Meaningful Markting Insights - Excel Analysis of Motion Picture Industry Data Meaningful Marketing Insights - Common Descriptive Statistics for Quantitative Data...
Previous
