Generative AI for Business Leaders
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How Google does Machine Learning
دوراتنا
Data and Statistics Foundation for Investment Professionals
Aimed at investment professionals or those with investment industry knowledge, this course offers an introduction to the basic data and statistical techniques that underpin data analysis and lays an essential foundation in the techniques that are used in big data and machine learning. It introduces the topics and gives practical examples of how they are used by investment professionals, including the importance of presenting the “data story" by using appropriate visualizations and report writing.
In this course you will learn how to:
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Statistics for Genomic Data Science
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.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Digital Governance
Big data, artificial intelligence, machine learning, autonomous cars, chatbots, just a few terms that have become a part of our professional legal and political vocabulary. Emerging technologies and technological advancement have confronted us in our daily practice and will continue to do so in the future. Whether we’re buying something online, taking part in an election, or chatting with friends across the globe. Technology is here and it is here to stay.
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Course by
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Self Paced
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28 ساعات
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الإنجليزية
Communicating Data Science Results
Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. In order to complete this assignment, you will need to make use of Amazon Web Services (AWS). Amazon has generously offered to provide up to $50 in free AWS credit to each learner in this course to allow you to complete the assignment.
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Course by
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Self Paced
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8 ساعات
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الإنجليزية
Data Science with NumPy, Sets, and Dictionaries
Become proficient in NumPy, a fundamental Python package crucial for careers in data science. This comprehensive course is tailored to novice programmers aspiring to become data scientists, software developers, data analysts, machine learning engineers, data engineers, or database administrators. Starting with foundational computer science concepts, such as object-oriented programming and data organization using sets and dictionaries, you'll progress to more intricate data structures like arrays, vectors, and matrices.
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Course by
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Self Paced
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31 ساعات
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الإنجليزية
Population Health: Responsible Data Analysis
In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population. First, you will learn how to obtain, safely gather, clean and explore data.
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Course by
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Self Paced
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20 ساعات
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الإنجليزية
Teaching Impacts of Technology: Data Collection, Use, and Privacy
In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Leading Change in Health Informatics
Do you dream of being a CMIO or a Senior Director of Clinical Informatics? If you are aiming to rise up in the ranks in your health system or looking to pivot your career in the direction of big data and health IT, this course is made for you. You'll hear from experts at Johns Hopkins about their experiences harnessing the power of big data in healthcare, improving EHR adoption, and separating out the hope vs hype when it comes to digital medicine.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Tools for Data Science
In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.
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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Ubiquitous Learning and Instructional Technologies
This course will analyze currently available technologies for learning. Areas addressed include: learning management systems, intelligent tutors, computer adaptive testing, gamification, simulations, learning in and through social media and peer interaction, universal design for learning, differentiated instruction systems, big data and learning analytics, attention monitoring, and affect-aware systems.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Command Line Tools for Genomic Data Science
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Bigtable: Qwik Start - Command Line
This is a self-paced lab that takes place in the Google Cloud console. Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. In this lab you'll use Bigtable with the cbt command line. Watch the short videos Bigtable: Qwik Start - Qwiklabs Preview and Handle Massive Worklo…
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Big data and Language 2
In this course, students will understand characteristics of language through big data. Students will learn how to collect and analyze big data, and find linguistic features from the data. A number of approaches to the linguistic analysis of written and spoken texts will be discussed.
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Course by
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Self Paced
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5 ساعات
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الإنجليزية
Explore Core Data Concepts in Microsoft Azure
In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Designing the Future of Work
The workplace of tomorrow is an uncertain place. We live in a rapidly changing world, and design innovations such as artificial intelligence (AI), robotics, and big data are rapidly changing the fundamental nature of how we live and work. As these technologies continue to evolve at an exponential rate - it is becoming critical to understand their impact on contemporary work practices, and for businesses and employees to understand how to design a secure future amidst this disruption. What new, disruptive technologies are on the horizon? How will jobs change?
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Bioinformatics Capstone: Big Data in Biology
In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data. In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Working with Azure Data Storage
This project teaches you the variety of ways to store data in Azure. You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data that you want to store in the cloud. After this project you will be able to define the appropriate settings for each storage account and create a storage account using the Azure portal. You will also understand how data lake storage can be created to support a wide variety of big data analytical solutions with minimal effort.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro
Este curso intensivo de uma semana baseia-se nos cursos anteriores da especialização Data Engineering on Google Cloud Platform.
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Course by
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Self Paced
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الإنجليزية
Big Data, Genes, and Medicine
This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of.
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Course by
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Self Paced
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40 ساعات
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الإنجليزية
Scalable Machine Learning on Big Data using Apache Spark
This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Big Data Analytical Platform on Alibaba Cloud
Course Description Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products.
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Course by
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Self Paced
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8 ساعات
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الإنجليزية
Using SAS Viya REST APIs with Python and R
SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems.
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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Data Management with Databricks: Big Data with Delta Lakes
In this 2-hour guided project, "Data Management with Databricks: Big Data with Delta Lakes" you will collaborate with the instructor to achieve the following objectives: 1-Create Delta Tables in Databricks and write data to them. Gain hands-on experience in setting up and managing Delta Tables, a powerful data storage format optimized for performance and reliability. 2-Transform a Delta table using Python and leverage SQL to query the data for creating a comprehensive dashboard.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Bioconductor for Genomic Data Science
Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Introduction and Programming with IoT Boards
Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course will be very useful to senior undergraduate and graduate students as well as engineers who are working in the industry.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية