Search result for Introduction to Big Data Online Courses & Certifications
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Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
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Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. Introduction to Artificial Intelligence and Machine Learning Retrieving Data, Exploratory Data Analysis, and Feature Engineering...
Data – What It Is, What We Can Do With It
by Jennifer Bachner, PhD- 4.5
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Approx. 11 hours to complete
This course introduces students to data and statistics. If you are in a field that increasingly relies on data-driven decision making, but you feel unequipped to interpret and evaluate data, this course will help you develop these fundamental tools of data literacy. Big Data is Not About the Data! A Simplified Guide to Randomized Controlled Trials...
AI Capstone Project with Deep Learning
by Alex Aklson , Joseph Santarcangelo- 4.5
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Approx. 16 hours to complete
In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. • apply knowledge of deep learning to improve models using real data Module 1 - Loading Data Introduction...
Data Visualization and Dashboards with Excel and Cognos
by Sandip Saha Joy , Kevin McFaul , Steve Ryan- 4.7
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Approx. 10 hours to complete
All of this can be accomplished by learning the basics of data analysis with Excel and IBM Cognos Analytics, without having to write any code. Introduction to Charts Interview: Using Visualizations to Tell a Data Story Introduction to Dashboarding Interview: Using Dashboards to Present Data Results Cognos Analytics: Introduction and How to Sign Up...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
By now you have definitely heard about data science and big data. How to describe the role data science plays in various contexts How statistics, machine learning, and software engineering play a role in data science How to describe the structure of a data science project How to identify a successful and an unsuccessful data science project...
Understanding Clinical Research: Behind the Statistics
by Juan H Klopper- 4.8
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Approx. 27 hours to complete
Introduction to Understanding Clinical Research Introduction to the central limit theorem: The heart of probability theory Introduction to the central limit theorem Introduction to Hypothesis Testing Introduction to confidence intervals Key notes: Introduction to confidence intervals Introduction to parametric tests Introduction to nonparametric tests Introduction to comparing categorical data Introduction to sensitivity and specificity...
Gender Analytics Capstone Project
by Sarah Kaplan- 0.0
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Approx. 9 hours to complete
It’s time to use your Gender Analytics skills to tackle a real-world challenge in your capstone project. [Exercise] Sensemaking from quantitative data Using inclusive analysis to reframe the problem Introduction to week 2 of capstone Sensemaking from qualitative data Introduction to week 3 of capstone Introduction to week 4 of capstone...
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Excel Fundamentals for Data Analysis
by Nicky Bull , Dr Prashan S. M. Karunaratne- 4.8
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Approx. 15 hours to complete
As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance. Welcome to Excel Fundamentals for Data Analysis Introduction to Tables Introduction to Tables Apply logical operations to data using IF Understand the different types of data in Excel and use appropriate functions to work with them....
Data Science Ethics
by H.V. Jagadish- 4.8
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Approx. 15 hours to complete
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Data Validity - Introduction...
Penetration Testing, Incident Response and Forensics
by IBM Security Learning Services- 4.6
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Approx. 17 hours to complete
You will learn about the different phases of penetration testing, how to gather data for your penetration test and popular penetration testing tools. Finally, you will learn key steps in the forensic process and important data to collect. • Describe penetration testing tools and the benefits to an organization Introduction to Penetration Testing Introduction to Scripting Introduction to Scripting Assessment...
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