Search result for Introduction to Big Data Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 3,489 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Machine Learning Rapid Prototyping with IBM Watson Studio
by Mark J Grover , Meredith Mante- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models....
Climate Adaptation for Human Health
by Kathryn Conlon- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
The world’s climate is changing, and among the most significant negative consequences is to human health. Introduction to Adaptation: What is Climate Adaptation? Introduction to Adaptation: What is Climate Adaptation? Informing Adaptation: Collecting Data for Adaptation Collecting Data for Adaptation Health Data Climate Change and Health Data Using Climate Data for Public Health...
Big Data Analysis with Apache Spark
by Anthony D. Joseph- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
Learn how to apply data science techniques using parallel programming in Apache Spark to explore big data. Organizations use their data to support and influence decisions and build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. Apply log mining, textual entity recognition and collaborative filtering techniques to real-world data questions...
$99
Advanced Business Analytics Capstone
by Manuel Laguna , Dan Zhang , David Torgerson- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
The capstone project will take you from data to analysis and models, and ultimately to presentation of insights. In this capstone project, you will analyze the data on financial loans to help with the investment decisions of an investment company. In the last week, you are expected to present your analytics results to your clients. Introduction to the Project...
Finance For Everyone: Value
by Arshad Ahmad- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
You will learn about the universal frameworks that determine how ideas and money interact, leading to the allocation of financial resources. We also assess the investment techniques used to give life to some ideas while killing others. Introduction to Finance for Everyone: Value LearnSmart: What it is and how to use it Introduction to the Mini-Case...
Advanced Search Engine Optimization Strategies
by Dave Lloyd- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 25 hours to complete
Introduction to Take Your Website Global Interpret and Use Data to Competitive Benefit Introduction to Identify Metrics to Drive Performance Make Sense of Today’s Data to Provide Future Insights Analyze Data Reports to Increase Revenue Use tools to provide insightful data to evaluate your competitors Conduct data analysis to bring value to stakeholders...
Assessment for Learning
by Dr William Cope , Dr Mary Kalantzis- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
Teacher and school accountability systems have come to be based on analysis of large-scale, standardized summative assessments. Participants will be required to consider issues of data access, privacy and the challenges raised by ‘big data’ including data persistency and student profiling. Big Data Assessments Educational Data Mining + Evaluation Using Data to Analyze Learning...
Related searches
Privacy & Standardisation Capstone
by Jan Smits- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
Welcome to the capstone on the specialisation on Privacy & Standardisation. Paper: Dissolving privacy, One Merger at a Time: Competition, Data and Third Party Tracking Legal document: A Preliminary Opinion on data protection and scientific research Report: Scientific research data breach notification obligation Introduction to health Relate privacy and data protection to human rights and freedoms...
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 22 hours to complete
This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. While introducing you to the theory, we'll pay special attention to practical aspects for working with probabilities, sampling, data analysis, and data visualization in Python....
R Programming
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 57 hours to complete
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. Introduction to swirl...
Previous
