Search result for Data analysis and visualization courses Online Courses & Certifications
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Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
Approx. 25 hours to complete
By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. Data Visualization with Tableau Use Data Visualization to Drive Your Analysis Salary Data Set, Description, and Analysis Plan Dognition Data Set, Description, and Analysis Plan...
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. The data analysis process and this program Learning Log: Reflect on the data analysis process Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics...
Introduction to Business Analytics: Communicating with Data
by Kevin Hartman- 4.6
Approx. 15 hours to complete
The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Module 2: Working Fast and Thinking Slow Lecture 2-1: Understanding The Growth Of Data Lecture 2-2: Evaluating Methods Of Data Access Lecture 2-4: Planning Your Data Story...
Data Analysis Using Python
by Brandon Krakowsky- 4.5
Approx. 17 hours to complete
Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. Coding demonstration : Catching data errors and sorting Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib...
Apache Spark (TM) SQL for Data Analysts
by Kate Sullivan- 4.6
Approx. 14 hours to complete
By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team. Data Visualization on Databricks reading introduction Data visualization tools Exploratory Data Analysis lab introduction Data Visualization reading activity Your turn! Exploratory Data Analysis lab...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
Applied Data Science Capstone
by Joseph Santarcangelo , Alex Aklson- 4.7
Approx. 10 hours to complete
You will learn about location data and different location data providers, such as Foursquare. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. Exploratory Data Analysis (EDA) Exploratory Data Analysis Overview Exploratory Data Analysis using SQL Exploratory Data Analysis...
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
Approx. 9 hours to complete
Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics. LINCS Data and Signature Generation Centers BD2K-LINCS Data Coordination and Integration Center Accessing and Serving Data through RESTful APIs | Part 1...
Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
Approx. 9 hours to complete
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find....
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
7.5 hours on-demand video
Unsupervised learning is used for discovering the underlying structure of the data and encompasses a variety of techniques in machine learning, from clustering to dimension reduction to matrix factorization. You will also be able to apply hard and soft clustering methods (k-Means and Gaussian Mixture Models) to assign segment labels to customers categorized in your sample data sets....
$12.99