Search result for Coursera data science certification Online Courses & Certifications
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Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
Approx. 15 hours to complete
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources....
Google Project Management: Professional Certificate
- 0.0
Data is collected via on-platform surveys or email and is cumulative from 1/18 - 1/21....
SQL Server Analysis Services - SSAS, Data Mining & Analytics
by Siddharth Mehta- 3.9
7.5 hours on-demand video
SQL Server Analysis Services, Data Mining and Analytics is a course in which a student having no experience in data science and analytics would be trained step by step from basics to advanced data science topics like data mining. Test your knowledge with more than 150 SSAS, MDX, DAX and Data Mining interview or Microsoft BI certification practice test questions....
$11.99
AI Workflow: AI in Production
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 17 hours to complete
This is the sixth course in the IBM AI Enterprise Workflow Certification specialization. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Review of Course 1: Business Priorities and Data Ingestion Review of Course 2: Data Analysis and Hypothesis Testing...
On Being a Scientist
by Bas Haring , Frans van Lunteren- 4.4
Approx. 19 hours to complete
Broad questions, which are inseparably linked to these topics are discussed: namely regarding the nature of science and the societal role it fulfills. 2) Have a realistic image of science and scientists. Science & the industry Science & the industry Science & the industry Science & society Science & society...
Artificial Intelligence on Microsoft Azure
by Microsoft- 4.7
Approx. 4 hours to complete
This is the first course in a five-course program that prepares you to take the AI-900 certification exam. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. The AI-900 Certification...
The Complete R Programming for Data Science - 7 courses in 1
by Numyard Data Science Team- 4.5
18.5 hours on-demand video
In The Complete R-Programming for Data Science & Statistics program, we have carefully designed 7 Full-Fledged courses into 1 Master Course of 200+ videos, 50+ R-Packages, Core Machine Learning and statistics concepts, 75+ practice problems and 2 Industrial projects Professional Level Industry Projects: Finally, to gain and end-to-end professional Data Science project skills, you will solve two Industry projects -...
$12.99
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Power BI Masterclass 8 - Python, Finance, and advanced DAX
by Dan We- 4.5
2.5 hours on-demand video
How to become a data analyst and learn Power BI. Power BI online training for data analysts apply data science libraries from python in Power BI What we learn in this course might also help you later with your Power BI certification exam as well as your data analytics or data science career...
$18.99
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 14 hours to complete
This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Generalizing Well to Unseen Data...
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. Tidy Data Review Reshaping Data Wide Data Long Data...