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Coursera Project Management Specialization I - Initiating And Planning Projects
Results for the "Initiating And Planning Projects" Course from Coursera - 1st Course of the Project Management Specialization series (offered by University of California, Irvine)
Duration: 6 weeks
Successful projects require careful upfront planning. In this course, you’ll learn the key roles and responsibilities of the project manager and project team. You’ll also learn to answer some key questions upfront to help you meet project objectives: What will this project accomplish? Why is this project important? Who benefits from this project? How will we plan for successful outcomes?
edX Data Science and Engineering with Spark XSeries I - Introduction To Apach...
Results for the "Introduction to Apache Spark" Course from edX - 1st Course of the Data Science and Engineering with Spark XSeries (offered by UC Berkeley)
Duration: 3 weeks
Apache Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers are becoming increasingly valued.
This statistics and data analysis course will teach you the basics of working with Spark and will provide you with the necessary foundation for diving deeper into Spark. You’ll learn about Spark’s architecture and programming model, including commonly used APIs. After completing this course, you’ll be able to write and debug basic Spark applications. This course will also explain how to use Spark’s web user interface (UI), how to recognize common coding errors, and how to proactively prevent errors. The focus of this course will be Spark Core and Spark SQL. The course assignments include word counting and Web Server Log Mining using real world datasets and parallel processing with PySpark.
Verified Certificate: Agile Software Development
Verified Certificate attesting the completion of the "Agile Software Development" Course from edX (offered by ETH Zurich)
Duration: 5 weeks
Certificate ID Number: b9dddb95c53a440db93d48d9695a0553
Authenticity of the certificate can be verified at: https://courses.edx.org/certificates/b9dddb95c53a440db93d48d9695a0553
This computer science course cuts beyond the agile methodology hype and teaches you the fundamental agile concepts that span a wide range of methodologies. It analyzes the key agile ideas, their benefits, their limitations, and how best to take advantage of them to enhance your software skills and show employers that you have mastered an essential component of today's IT industry.
edX - Introduction To DevOps
Results for the "Introduction to DevOps" Course from edX (offered by Microsoft)
Duration: 4 weeks
In this course, you will learn how to:
- Define DevOps and describe its value, history, and building blocks.
- Describe how to unify processes and improve collaboration between development and operations.
- Identify areas to consider when incorporating DevOps practice for continuous improvement.
- Explain the key concepts and benefits of Continuous Integration (CI), continuous testing, and continuous delivery.
- Identify tools and practices for implementing CI, testing, and continuous delivery.
- Explain the key concepts and benefits of release management, configuration management, and monitoring in DevOps.
- Identify tools and practices for implementing Release Management, configuration management, and monitoring.
Certificate of Completion: Oracle Big Data Essentials
Statement of Completion for the "Oracle Big Data Essentials" Course from Oracle University
This Oracle Big Data Essentials training deep dives into using the Oracle Big Data Solution. Through hands-on, interactive instruction and exercises, you'll develop the skills to acquire, organize, analyze and make key decisions based on the big data.
edX Data Science and Engineering with Spark XSeries II - Distributed Machine ...
Results for the "Distributed Machine Learning With Apache Spark" Course from edX - 2nd Course of the Data Science and Engineering with Spark XSeries (offered by UC Berkeley)
Duration: 4 weeks
Machine learning aims to extract knowledge from data and enables a wide range of applications. With datasets rapidly growing in size and complexity, learning techniques are fast becoming a core component of large-scale data processing pipelines. This course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. We present an integrated view of data processing by highlighting the various components of these pipelines, including feature extraction, supervised learning, model evaluation, and exploratory data analysis. Students will gain hands-on experience applying these principles by using Apache Spark to implement several scalable learning pipelines.
Certificate of Accomplishment: Introduction to Big Data with Apache Spark
Certificate of Accomplishment for "Introduction to Big Data with Apache Spark" Course from edX (offered by The University of California, Berkeley).
Part of the Big Data XSeries courses.
Duration: 5 weeks
Authenticity of the certificate can be verified at: https://verify.edx.org/cert/1a54a3e6ffa44c8d8aa24986adda4efd
Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. This course will attempt to articulate the expected output of Data Scientists and then teach students how to use PySpark (part of Apache Spark) to deliver against these expectations. The course assignments include Log Mining, Textual Entity Recognition, and Collaborative Filtering exercises that teach students how to manipulate datasets using parallel processing with PySpark.
D. Ardagna - PARVIS - Performance mAnagement of VIrtualized Systems
Presentation about PARVIS (Performance mAnagementof VIrtualized Systems) by Prof. Danilo Ardagna from Dipartimento di Elettronica e Informazione, Polytechnic University of Milan
edX Data Science and Engineering with Spark XSeries III - Big Data Analysis W...
Results for the "Big Data Analysis With Apache Spark" Course from edX - 3rd Course of the Data Science and Engineering with Spark XSeries (offered by UC Berkeley)
Duration: 4 weeks
This statistics and data analysis course will attempt to articulate the expected output of data scientists and then teach students how to use PySpark (part of Spark) to deliver against these expectations. The course assignments include log mining, textual entity recognition, and collaborative filtering exercises that teach students how to manipulate data sets using parallel processing with PySpark.
This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly).
Certificate of Accomplishment: The Analytics Edge
Certificate of Accomplishment for "The Analytics Edge" Course from edX (offered by Massachusetts Institute of Technology).
Duration: 10 weeks
Authenticity of the certificate can be verified at: https://verify.edx.org/cert/68708e074f4b45a89fbf02c8bf9f7858
In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications.
Coursera Strategic Business Analytics Specialization I - Foundations Of Strat...
Results for the "Foundations Of Strategic Business Analytics" Course from Coursera - 1st Course of the Strategic Business Analytics Specialization series (offered by ESSEC Business School)
Duration: 4 weeks
With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business.
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Coursera Project Management Specialization I - Initiating And Planning Projects
Results for the "Initiating And Planning Projects" Course from Coursera - 1st Course of the Project Management Specialization series (offered by University of California, Irvine)
Duration: 6 weeks
Successful projects require careful upfront planning. In this course, you’ll learn the key roles and responsibilities of the project manager and project team. You’ll also learn to answer some key questions upfront to help you meet project objectives: What will this project accomplish? Why is this project important? Who benefits from this project? How will we plan for successful outcomes?
edX Data Science and Engineering with Spark XSeries I - Introduction To Apach...
Results for the "Introduction to Apache Spark" Course from edX - 1st Course of the Data Science and Engineering with Spark XSeries (offered by UC Berkeley)
Duration: 3 weeks
Apache Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers are becoming increasingly valued.
This statistics and data analysis course will teach you the basics of working with Spark and will provide you with the necessary foundation for diving deeper into Spark. You’ll learn about Spark’s architecture and programming model, including commonly used APIs. After completing this course, you’ll be able to write and debug basic Spark applications. This course will also explain how to use Spark’s web user interface (UI), how to recognize common coding errors, and how to proactively prevent errors. The focus of this course will be Spark Core and Spark SQL. The course assignments include word counting and Web Server Log Mining using real world datasets and parallel processing with PySpark.
Verified Certificate: Agile Software Development
Verified Certificate attesting the completion of the "Agile Software Development" Course from edX (offered by ETH Zurich)
Duration: 5 weeks
Certificate ID Number: b9dddb95c53a440db93d48d9695a0553
Authenticity of the certificate can be verified at: https://courses.edx.org/certificates/b9dddb95c53a440db93d48d9695a0553
This computer science course cuts beyond the agile methodology hype and teaches you the fundamental agile concepts that span a wide range of methodologies. It analyzes the key agile ideas, their benefits, their limitations, and how best to take advantage of them to enhance your software skills and show employers that you have mastered an essential component of today's IT industry.
edX - Introduction To DevOps
Results for the "Introduction to DevOps" Course from edX (offered by Microsoft)
Duration: 4 weeks
In this course, you will learn how to:
- Define DevOps and describe its value, history, and building blocks.
- Describe how to unify processes and improve collaboration between development and operations.
- Identify areas to consider when incorporating DevOps practice for continuous improvement.
- Explain the key concepts and benefits of Continuous Integration (CI), continuous testing, and continuous delivery.
- Identify tools and practices for implementing CI, testing, and continuous delivery.
- Explain the key concepts and benefits of release management, configuration management, and monitoring in DevOps.
- Identify tools and practices for implementing Release Management, configuration management, and monitoring.
Certificate of Completion: Oracle Big Data Essentials
Statement of Completion for the "Oracle Big Data Essentials" Course from Oracle University
This Oracle Big Data Essentials training deep dives into using the Oracle Big Data Solution. Through hands-on, interactive instruction and exercises, you'll develop the skills to acquire, organize, analyze and make key decisions based on the big data.
edX Data Science and Engineering with Spark XSeries II - Distributed Machine ...
Results for the "Distributed Machine Learning With Apache Spark" Course from edX - 2nd Course of the Data Science and Engineering with Spark XSeries (offered by UC Berkeley)
Duration: 4 weeks
Machine learning aims to extract knowledge from data and enables a wide range of applications. With datasets rapidly growing in size and complexity, learning techniques are fast becoming a core component of large-scale data processing pipelines. This course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. We present an integrated view of data processing by highlighting the various components of these pipelines, including feature extraction, supervised learning, model evaluation, and exploratory data analysis. Students will gain hands-on experience applying these principles by using Apache Spark to implement several scalable learning pipelines.
Certificate of Accomplishment: Introduction to Big Data with Apache Spark
Certificate of Accomplishment for "Introduction to Big Data with Apache Spark" Course from edX (offered by The University of California, Berkeley).
Part of the Big Data XSeries courses.
Duration: 5 weeks
Authenticity of the certificate can be verified at: https://verify.edx.org/cert/1a54a3e6ffa44c8d8aa24986adda4efd
Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. This course will attempt to articulate the expected output of Data Scientists and then teach students how to use PySpark (part of Apache Spark) to deliver against these expectations. The course assignments include Log Mining, Textual Entity Recognition, and Collaborative Filtering exercises that teach students how to manipulate datasets using parallel processing with PySpark.
D. Ardagna - PARVIS - Performance mAnagement of VIrtualized Systems
Presentation about PARVIS (Performance mAnagementof VIrtualized Systems) by Prof. Danilo Ardagna from Dipartimento di Elettronica e Informazione, Polytechnic University of Milan
edX Data Science and Engineering with Spark XSeries III - Big Data Analysis W...
Results for the "Big Data Analysis With Apache Spark" Course from edX - 3rd Course of the Data Science and Engineering with Spark XSeries (offered by UC Berkeley)
Duration: 4 weeks
This statistics and data analysis course will attempt to articulate the expected output of data scientists and then teach students how to use PySpark (part of Spark) to deliver against these expectations. The course assignments include log mining, textual entity recognition, and collaborative filtering exercises that teach students how to manipulate data sets using parallel processing with PySpark.
This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly).
Certificate of Accomplishment: The Analytics Edge
Certificate of Accomplishment for "The Analytics Edge" Course from edX (offered by Massachusetts Institute of Technology).
Duration: 10 weeks
Authenticity of the certificate can be verified at: https://verify.edx.org/cert/68708e074f4b45a89fbf02c8bf9f7858
In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications.
Coursera Strategic Business Analytics Specialization I - Foundations Of Strat...
Results for the "Foundations Of Strategic Business Analytics" Course from Coursera - 1st Course of the Strategic Business Analytics Specialization series (offered by ESSEC Business School)
Duration: 4 weeks
With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business.
Proficiency Certificate in Management.
A theoretical and practical training on Human Capital Management, capital Management, Organisational and Business Management and overall Planning to achieve set goals and objectives.
Viewers also liked (17)
Coursera Project Management Specialization I - Initiating And Planning Projects
Coursera Project Management Specialization I - Initiating And Planning Projects
edX Data Science and Engineering with Spark XSeries I - Introduction To Apach...
edX Data Science and Engineering with Spark XSeries I - Introduction To Apach...
Certificate of Completion: Oracle Big Data Essentials
Certificate of Completion: Oracle Big Data Essentials
edX Data Science and Engineering with Spark XSeries II - Distributed Machine ...
edX Data Science and Engineering with Spark XSeries II - Distributed Machine ...
Certificate of Accomplishment: Introduction to Big Data with Apache Spark
Certificate of Accomplishment: Introduction to Big Data with Apache Spark
D. Ardagna - PARVIS - Performance mAnagement of VIrtualized Systems
D. Ardagna - PARVIS - Performance mAnagement of VIrtualized Systems
edX Data Science and Engineering with Spark XSeries III - Big Data Analysis W...
edX Data Science and Engineering with Spark XSeries III - Big Data Analysis W...
Coursera Strategic Business Analytics Specialization I - Foundations Of Strat...
Coursera Strategic Business Analytics Specialization I - Foundations Of Strat...
Coursera VL3MCZBMSAPP
- 1. EDUCA T ION FOR EVE R YONE CO U R S E C E R T I F I C A TE COURSE CERTIFICATE 08/15/2016 William McEvoy Financial Markets an online non-credit course authorized by Yale University and offered through Coursera has successfully completed Robert J. Shiller Sterling Professor of Economics Yale University Verify at coursera.org/verify/VL3MCZBMSAPP Coursera has confirmed the identity of this individual and their participation in the course.