Search result for Data visualization course syllabus Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 851 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Foundations: Data, Data, Everywhere
by Google Career CertificatesTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Program description and course syllabus Planning a data visualization Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics...
Design and Build a Data Warehouse for Business Intelligence Implementation
by Michael Mannino , Jahangir Karimi- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. Course introduction Course topics and assignments video lesson Pentaho Data Integration installation Data Visualization and Dashboard Design Requirements Background Information on Data Visualization and Dashboard Design...
Essential Epidemiologic Tools for Public Health Practice
by Aruna Chandran, MD, MPH- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 hours to complete
This course provides you with some essential skills and tools that will enhance your ability to describe and understand the health of your community. Course Projects Depiction of Epidemiologic Data Introduction to Depiction of Epidemiologic Data Data Visualization Definition and Basic Description Use data visualization as an epidemiological tool to describe risk factors...
Data Analysis Using Python
by Brandon Krakowsky- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
This course provides an introduction to basic data science techniques using Python. 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. Course Layout & Syllabus Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization...
Introduction to Business Analytics: Communicating with Data
by Kevin Hartman- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 15 hours to complete
This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. 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....
Political Economy of Institutions and Development
by Richard Thomas Griffiths- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 23 hours to complete
This course is part of the SDG initiative <http://www. These issues and many more will be examined in this course along with a wide library of sources and a biting criticism. Introduction into this course Data used in Political Economy Political Economy and Data Reading for Data in Political Economy Data used in Political Economy...
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. LINCS Data and Signature Generation Centers BD2K-LINCS Data Coordination and Integration Center Interactive Data Visualization Interactive Data Visualization with E-Charts...
Statistics for Data Science with Python
by Murtaza Haider , Aije Egwaikhide- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. We strongly recommend taking the Python for Data Science course before starting this course to get familiar with the Python programming language, Jupyter notebooks, and libraries. Data Visualization Practice Quiz - Data Visualization Data Visualization...
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. (Cool Stuff in) Data Where Do Data Come From? Data Types in Python Introduction to Libraries and Data Management Course Syllabus Meet the Course Team!...
Communicating Business Analytics Results
by Manuel Laguna , Dan Zhang , David Torgerson- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 7 hours to complete
Developing these models and gaining insights from data do not necessarily lead to successful implementations. In this course you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. Best Practices in Data Visualization Data Visualization Examples Misleading With Data Acting on Data...
Previous
