Search result for Certificate in data analysis Online Courses & Certifications
Get Course Alerts by Email
Design and Analyze Secure Networked Systems
by Edward Chow- 3.8
Approx. 15 hours to complete
We will apply CIA basic security services in the triage of recent cyberattack incidents, such as OPM data breach. We will learn the risk management framework for analyzing the risks in a network system, and apply the basic security design principles to protect the data and secure computer systems. Security Principles: Defense in Depth, Defense with Diversity, Cyber Resilience...
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 in R Part I (7:22) Exploratory Analysis in R Part II (10:07) Exploratory Analysis in R Part III (7:26) Gene Set Analysis in R (7:43)...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
Data analysis in real life is messy. This is a focused course designed to rapidly get you up to speed on doing data science in real life. Get a glimpse into a day in the life of a data analysis manager. Understand a typical day in the life of a data analysis manager...
Six Sigma Tools for Analyze
by Christina Scherrer, PhD , David Cook, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.7
Approx. 8 hours to complete
You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. Measurement System Analysis Measurement System Analysis Part 1 Data Analysis Data Analysis Practice Quiz Data Analysis Graded Quiz...
Design and Implementation of Digital Health Interventions
by Lisa Danquah , Céire Costelloe- 0.0
Approx. 31 hours to complete
These session cover areas to include data regulations, examples of data breaches in digital health, the challenges and opportunities of technology adoption and implementation with a focus on the non-adoption, abandonment, scale-up, spread and sustainability framework (NASSS Framework). Value of data in Digital Health Data Regulations in Different Countries Regulations and data in DH...
Digitalization in International Relations
by Yarygin Grigory , Sytnik Anna , Tsvetkova Natalia , Stadnik Ilona- 4.5
Approx. 16 hours to complete
Four aspects of digitalization in international relations are explored in the course, notably digital diplomacy, big data and data diplomacy, global internet governance, and digital electoral technologies. Big Data in Foreign Policy: Methods of Analysis Digitalization in International Relations: Levels of Analysis Data Science in IR: Key Research Areas Data Analytics in IR: Tools & Skills....
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. Students will gain skills in data aggregation and summarization, as well as basic data visualization. Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization...
Related searches
Detect and Mitigate Ethical Risks
by Renée Cummings , Jennifer Fischer , Eleanor 'Nell' Watson- 0.0
Approx. 20 hours to complete
This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. Ethical Risk Analysis Fundamentals Overfitting to Training Data Protect the Security of Data in Storage Protect the Security of Data in Transit...
Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
Approx. 18 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed Exploratory Data Analysis with MATLAB....
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. Lecture 3-1: Finding Patterns In Data...