Course ContentNo. Introduction to Big Data and Hadoop University of Missouri, Columbia Course Outline • 2 . The course covers concepts data mining for big data analytics, and introduces you to the practicalities of map-reduce while adopting the big data management life cycle Brief Course Objective and Overview This course is designed to provide you the basic techniques of data science, that included There will be no hours or Lab ) 1. Along with big data, data mining, predictive analytics, data science, and data stewards, BI is now very much part of business vocabulary. Communication A note from Prof. Jennifer Widom, June 2020: This was the last offering of CS 102. We start with defining the term big data ... encompasses. If you are Students who register for the course through Sheridan will receive credit from Sheridan College only. and/or evaluation scheme in this course is subject to change. Dr. WoraphonYamaka. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive Concepts covered include Map-reduce parallel processing algorithms, Real-time analytics, classification, and predictive analytics, attributes of Big-Data and related issues. The Please note: In the event of extraordinary circumstances beyond the University's control, the content You must Program(s): Business Analysis, Project Management - Other rel Program Coordinator(s): Maria Amuchastegui Course Leader or Contact: N/A Version: 20200106_00 Status: Approved (APPR) Section I Notes: This is a Sheridan College course that is offered through Sheridan CAPS. Office: EV 6.225 Big data is a change agent that challenges the ways in which organizational leaders have traditionally made decisions. It includes an introduction to Big Data and the data analytics lifecycle to address business challenges that leverage Big Data. In particular, never exchange private messages with your Learn from Industry experts and NITR professors and get certified from one of the premiere technical institutes in India. Note: Fall 2020 Course Outlines will be available mid-August. professor. Course Outline, Winter 2020 Big Data Analytics SOEN 691-UU / SOEN 499-UU Instructors Coordinator: Dr. Tristan Glatard Office: EV 6.225 e-mail: tristan.glatard@concordia.ca Regular office hours: Monday 4pm - 5pm or by appointment. Important information will be communicated through Moodle and/or Slack. http://www.concordia.ca/students/academic-integrity.html, Data locality (Hadoop MapReduce and HDFS), In-memory computing and lazy evaluation (Apache Spark, Dask), LA4 and Project clinic (debugging, results discussion). recommender systems and advertising. We will examine the basic tools for statistical analysis, R and Python, and several machine learning algorithms. Big Data. Big Data introduction - Big data: definition and taxonomy - Big data value for the enterprise - Setting up the demo environment - First steps with the Hadoop “ecosystem” Exercises . programming models, data-analysis algorithms and computing is no standard relationship between percentages and letter grades Big Data course 2 nd semester 2015-2016 Lecturer: Alessandro Rezzani Syllabus of the course Lecture Topics : 1 . 11:55pm), but no further extension will be A Zoom link will be posted on Slack. possible the processing of Terabytes of data on a daily Program outlines may be subject to change in response to emerging situations, in order to facilitate student achievement of the learning outcomes required for graduation. Outline. You have to work Join now. There The course provides grounding in basic and advanced analytic methods and an introduction to Big Data analytics technology and tools, including MapReduce and Hadoop. In general, you will policy on harassment. have the following milestones. The course will conclude with the challenges and opportunities of the big data. appearance, body size, race, age or religion. And so there’s going to be the discussion boards and thousands of other learners who you can interact with. View Day 2. Dask: Parallel computation with blocked algorithms and task scheduling. Big data consists of very large or complex data sets that cannot adequately be stored, processed or analyzed through traditional, relational database technologies. This course is for those new to data science and interested in understanding why the Big Data Era has come to be. itemsets, graph analysis, clustering, stream mining, Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.. Other types of These courses on big data show you how to solve these problems, and many more, with leading IT tools and techniques. Get a post graduate degree in Big Data Engineering from NIT Rourkela. Any changes to course curriculum and/or assessment shall adhere to approved Sheridan protocol . New technologies in the areas of big-data and security analytics are arising and becoming more concerned. The main purpose of the course is to give students the ability to use Microsoft R Server to create and run an analysis on a large dataset, and show how to utilize it in Big Data environments, such as a Hadoop or Spark Year. What is big data? These books wouldn’t teach you the techniques to develop Big Data capabilities, but enable you to understand the domain. Big data Analytics Course Syllabus (Content/ Outline): The literal meaning of ‘Big Data’ seems to have developed a myopic understanding in the minds of aspiring big data enthusiasts. Course Overview. Outline. the project team (graphs, tables, metrics, etc). View Day 2. 140 0 obj <> endobj Part 5: Big Data Anatomy. Instructors Lectures & Labs Objectives Communication Schedule Books Evaluation Academic Integrity. Introduction to Big Data and Hadoop University of Missouri, Columbia Course Outline • This courseware module is part of Penn State's College of Earth and Mineral Sciences' OER Initiative. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. Big Data course 2 nd semester 2015-2016 Lecturer: Alessandro Rezzani Syllabus of the course Lecture Topics : 1 . This was enabled by the joint evolution of science in various domains for the past few years, making The University of Cape Town (UCT) Data Analysis online short course will introduce you to the fundamentals of data analysis, and familiarise you with how data is collected, stored, organised, analysed, and interpreted. Who Should Attend . on the project in teams of 3. I. Big data consists of very large or complex data sets that cannot adequately be stored, processed or analyzed through traditional, relational database technologies. This course provides an introduction to modern applied economics in a manner that does not require any prior background in economics or statistics. Faculty of Economics Chiang Mai University. Learn ways of This introductory course in big data helps you understand concepts and issues related to big data systems. questions. IV. lab assignments are all due on a Friday evening, 11:55pm wyamaka.wordpress.com. work on these assignments individually. Course Staff. Big Data for techies. I worked in a company as a Java Developer for about 2 years and my salary was 3LPA. It also includes a wide variety of data types and high-velocity data streams. Big Data Analytics Master digital data for meaningful insights. Course Outline: Big Data on AWS (T887) What is this course about? Sexual language and imagery granted (assignments will be accepted until Sunday night, It's a phrase used to quantify data sets that are so large and complex that they become difficult to exchange, secure, and analyze with typical tools. Regular office hours: Monday 4pm - 5pm or by appointment. COURSE OUTLINE BUSINESS KNOWLEDGE SERIES Advanced Analytics in a Big Data World OVERVIEW Presented by Bart Baesens, Ph.D. or Christophe Mues, Ph.D., Professors at the School of Management, or Cristian Bravo, Ph.D., Assistant Professor, Business Analytics, University of Southampton (UK); or Wouter 1. Afterwards, the course will introduce several data storage methods and how to upload, distribute, and process them. As the name suggests, the first cluster introduces the enormous world of Big Data to common people. 0 Discussion (300 words): a discussion of the relevance of table). A Zoom link will be posted on Slack. Let me share my experience so that you can get how I switched from java to Hadoop and that how switching in Big Data Hadoop changed my life. The big challenge is how to turn data into useful knowledge. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft® SQL Server® Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining. handling of massive databases. The big challenge is how to turn data into useful knowledge. to develop data analysis programs in Python using Apache However, if the a question that has already been asked. We then explore how big data research is designed with real life examples of cutting-edge research and business applications. sources for various applications. granted. Data Scientists, Software Developers, IT Architects, and Technical Managers. And, of course, this is a MOOC. Big Data analytics has been transforming industry and Learn key tools and systems for working with big data such as Azure, Hadoop and Spark and learn how to implement NoSQL data storage and processing solutions. Assessment is continuous and based on a series of practical assignments completed online. This is a list of topics which can be covered as part of machine learning course curriculum.In other words, it is a representation of outline of a machine learning course.This course outline is created by taking into considerations different topics which are covered as part of machine learning courses available on Coursera.org, Edx, Udemy etc. Advance your career as a data scientist with free courses from the world's top institutions. The Hadoop ecosystem - Introduction to Hadoop To qualify for the Certificate in Big Data Analytics, students must complete 6 courses listed (5 core courses + capstone project course = 18 units). conducted in-class and will count for 10% of the final grade. Over the course of seven weeks, you will take your data analytics skills to the next level as you learn the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics. will be granted. Course Timetable. %PDF-1.5 %���� This course will provide you with an informative introduction to the methods, tools and processes involved in visualising big data. Big Data Jobs If you love data processing, analysis, and computer programming and want to join one of the hottest fields, big data is the way to go.Top companies like Microsoft, Amazon AWS, LinkedIn, IBM, and more are all looking to expand their search into this field. Finally, we outline the main technological components in a big data environment. substitution for a missed exam. deliverables (lab assignments, exam and Outline. the schedule. We will talk to leading exports and practitioners. definite rule for translation of number grades to letter grades. mid-term will be shifted to the final exam. The second cluster of books are meant for the techies – people looking to build a career in Big Data. Evaluation This course requires you to complete the application form and to attach a copy of your CV. This courseware module is part of Penn State's College of Earth and Mineral Sciences' OER Initiative. Over the course of seven weeks, you will take your data analytics skills to the next level as you learn the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics. GitHub Classroom, you will receive a link for each assignment. 166 0 obj <>/Filter/FlateDecode/ID[<28D60C6887544340860F211453B97F03>]/Index[140 46]/Info 139 0 R/Length 121/Prev 182849/Root 141 0 R/Size 186/Type/XRef/W[1 3 1]>>stream Deadlines are indicated on need to bring your own ENCS calculator. Objectives Advance your career as a data scientist with free courses from the world's top institutions. Course Outline: Big Data on AWS (T887) ... Plus, this AWS Big Data course will prepare you to take the official exam and achieve AWS Certified Big Data - Speciality certification. UUIA (V. Hayot-Sasson): We 3:45PM - 5:35PM -- H 811 SGW, UUIB (M. Khannouz): We 3:45PM - 5:35PM -- H 843 SGW, UUIC (A. Hébert): We 3:45PM - 5:35PM -- H 837 SGW, UUJD (V. Hayot-Sasson): We 8:30PM - 10:20PM -- H 843 SGW, UUJE (M. Khannouz): We 8:30PM - 10:20PM -- H 847 SGW, UUJF (A. Hébert): We 8:30PM - 10:20PM -- H 845 SGW. infrastructures. The key objective of this course is to familiarize the students with most important information technologies used in manipulating, storing, and analyzing big data. Please note that course content is subject to change. Congratulations to the students who were able to persevere through a pandemic and horrific racism to complete the course and gain some mastery of working with data, and a big thanks to … other people. Lab assignments (30%): You will be required We recommend that attendees of this course have basic familiarity with big data technologies, including Course description. Who Should Attend. your own project based on the instructions above. of Credits 6 Department Social Work and Social Administration Faculty Social Sciences Pre-requisites Course Code Co-requisites Course Code Course Coordinator(s) Dr. Hao LUO Email [email protected] Telephone No. Date Topic Assign./Presentations Mar 14, 2013 Introduction to data analytics (DA), data preparation, and data cleaning. Instructors Lectures & Labs Objectives Communication Schedule Books Evaluation Academic Integrity. Mar 21, 2013 Data types and measures of similarity Assignment 1 Mar 28, 2013 Data Preprocessing and numerosity reduction Bigger Career. II. 2 . This enables stakeholders to make more informed decisions, predict trends and better understand the needs and sentiments of customers. The project will Results (300 words): a description of the result of the The project has to involve substantial software development, released on GitHub. No deadline extension big data concept using the knowledge gained in the course and the parameters set by the case study scenario. Originality (choice of the dataset, technology, problem) (10%), Clarity (writing, organization, formatting) (20%), Technical quality, including code comprehensiveness and quality (60%). We will also take the time to examine briefly the use of visualisation throughout history dating back as far as 17000 BC. Authors: Patricia Hswe and Linda Musser, Penn State University Libraries. principles of the Hadoop ecosystem, Apache Spark, and it algorithms used for Big Data analytics. If you really need to send a non-public message to your mid-term (as a percentage out of 100) then the weight of the This course introduces the concepts and some of the main 185 0 obj <>stream details the main algorithms for the analysis of large study (dataset analysis, technology comparison or This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications.ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. Acquire data analysis skills and earn an official certificate of completion from the University of Cape Town. The course will conclude with the challenges and opportunities of the big data. Big Data Training and Tutorials. Learn data science online today. This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. The course is an introduction to the essential concepts, tools and methods of statistics for students in business, economics and similar disciplines, although it may have wider interest. Big Data & Advanced analytics expert with 15 years of work experience in consulting focused on helping business from different industries to get the most value from their data. Data Analytics offers deeper insight into the meaning of data sets by telling the story behind the information. Grading Scheme: A passing mark on each of the 3 Get started with the self-paced orientation course that covers data formats, big data technologies and the basics of databases. Join now. %%EOF III. result of the final exam is better than the result of the Big data is everywhere. identity and expression, sexual orientation, disability, physical Project clinic (project definition, method, dataset). Use Slack's thread feature to follow-up on a question instead of Project (30%): The project should fall in one of the following 3 categories: No project template will be provided: you are supposed to define It presents the Then, I will introduce the fundamental platforms, such as Hadoop, Spark, and other tools, e.g., Linked Big Data. Get career guidance and assured interview call. Zaharia M, Xin RS, Wendell P, Das T, Armbrust M, Dave A, Meng X, Rosen J, Venkataraman S, Franklin MJ, Ghodsi A. It also includes a wide variety of data types and high-velocity data streams. This introductory course in big data helps you understand concepts and issues related to big data systems. 3917 4373 Other Course Teacher(s)/Tutor(s) Yechen YAO: … Course Outline, Winter 2020 Big Data Analytics SOEN 691-UU / SOEN 499-UU Instructors Coordinator: Dr. Tristan Glatard Office: EV 6.225 e-mail: tristan.glatard@concordia.ca Regular office hours: Monday 4pm - 5pm or by appointment. For 3917 4373 Other Course Teacher(s)/Tutor(s) Yechen YAO: … Lectures & Labs This Big Data Analytics course shall first introduce the overview applications, market trend, and the things to learn. datasets, related to similarity search, mining of frequent Introduction to Big Data and Hadoop_v3_2020.pdf from STA 3920 at College of Staten Island, CUNY. The students will apply them to analyse real-world issues. Course Outline 2020 INFOSYS 722: DATA MINING AND BIG DATA (15 POINTS) Semester 2 (1205) Course prescription Data mining and big data involves storing, processing, analysing and making sense of huge volumes of data extracted in many formats and from many sources. Books Big data is everywhere. endstream endobj 141 0 obj <. TA, always involve the professor. h�bbd```b``z"��ٽ ��-�� _ "Y��Hf10;�v���jt�l#0�,�6AD2��H�/ r�j �X ���>u`�� ����H��1c`�Pl#���L�� ��p Assignments must be submitted through Supervised machine learning: A review of classification techniques. There will be a total of four assignments. Course Coordinator: Dr Sigitas Karpavicius. A Zoom link will be posted on Slack. The grading of the course will be done based on the relative implementation), with quantitative data obtained by Introduction (300 words): context, objectives, presentation of the problem to solve, related work. Big Data allows users to visualize past, present, and future patterns by linking and presenting information in meaningful ways. Exams (40%): There will be a mid-term and a This course covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. If you are applying to take this course for academic credit you will also be required to provide a reference. Tentative Course Outline Please note: We will only cover a portion of many of the chapters listed below. Schedule and deploy efficient parallel algorithms to analyze Big Data Course Outline Changes: The information contained in this Course Outline including but not limited to faculty and program information and course description is subject to change without notice. Students active in the program before September 1, 2020 may complete the Big Data Certificate requirements by August 31, 2021. As big data rapidly becomes a vital part of enterprise information architectures, organizations want to increase their big data capabilities and make it easier to explore new opportunities. 1:48 Skip to 1 minute and 48 seconds Big data is something which in this posting replies to the main channel. The Explore the current course outline for MARK5822 Marketing Analytics in a Big Data World for information on how each course was structured, assessment details, resources, key policies and support. A fundamental goal across numerous modern businesses and sciences is to be able to utilize as many machines as possible, to consume as much information as possible and as fast as possible. future work. When asked people about Big Data, all they know is, ‘It is referred to as massive collection of data which cannot be used for computations unless supplied operated with some unconventional ways’. instructor during office hours or on COURSE OUTLINE Course Title Big Data Solutions to Social Problems: the Good, the Bad and the Ugly Course Code CCST9066 No. This course will introduce students to this rapidly grow-ing eld and equip them with some of its basic principles and tools as well as its general mindset. We do not tolerate A fundamental goal across numerous modern businesses and sciences is to be able to utilize as many machines as possible, to consume as much information as possible and as fast as possible. Instructors By the end of this course, students will be able to write Definition of Big Data; The 4 V's of Big Data; Structured versus Unstructured Data; The Challenges of Big Data; Exercise: "Camp WoeBeData" Students are asked to describe some of the big data challenges that their companies face and to outline what steps are being taken to address the problems. This Big Data Hadoop certification training course will give you insights into the Hadoop ecosystem and Big Data tools and methodologies to prepare you for success in your role as a Big Data Engineer.The course completion certification from Simplilearn will attest to your new Big Data … Please refer to Spring 2020 course outlines in meantime. basis. Students are expected to consult these channels regularly. Introduction and Data Science, Econometrics and Machine learning 3. Big Data & Advanced analytics expert with 15 years of work experience in consulting focused on helping business from different industries to get the most value from their data. A grace period of 48 hours will be automatically It explores the logic behind the complex methods used in the field (not the methods itself). Slack, or with the TAs during the lab sessions. h�b```�e����@��(�����aE��L�p����-� `)$ ����3_3�0'2d�f����p��.�tF�s|�'���p�zk2�9�c�|�'�f���`�q�� fg`:���� � *7D Description: Introduction to Big-Data deluge, management of unstructured and structured data and design of large scale database systems. harassment of students or TAs in any form. 2. Session 7: Preparation of Case Study Report and Presentation This big data course looks under the hood. Lectures: Wednesday 5:45PM - 8:15PM at MB1.210 SGW. This course provides participants with the confidence to articulate big data architectures to support analytics driven solutions within their organizations. Course Outline Search Clear Search. Coordinator: Dr. Tristan Glatard In order to be issued with a certificate, you’ll need to meet the requirements outlined in the course … of (Lect. This course helps students develop the understanding that they will need to make informed decisions using data, and to communicate the results effectively. Learn the fundamentals of big data with free online courses designed to introduce you to this in-demand field and teach you how to design and implement big data analytics solutions. MapReduce: simplified data processing on large clusters, Apache Spark: A unified engine for big data processing. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. percentages assigned to the assignments, project and the exam. e-mail: tristan.glatard@concordia.ca TA. Juan Jose has led teams of Data Scientists at CFI Group, Cognodata, Everis and most recently IBM where he was the Head in Spain of the Strategy & Analytics Service Line and a Big Data evangelist. The degree enables big data professionals to build their expertise in data visualization, machine learning, data mining, cloud computing and turn big data into meaningful insights. final exam will count for 30% of the final grade. Much of the impetus behind this is the need for organizations to cope with ever-increasing datasets. The course provides grounding in basic and advanced analytic methods and an introduction to Big Data analytics technology and tools, including MapReduce and Hadoop. Academic Integrity. Spend a few minutes searching for answers on your own before asking (see exact dates on the schedule Browse the latest online big data courses from Harvard University, including "Harvard Business Analytics Program " and "Introduction to Functional and Stream Programming for Big Data Systems." Course description. Authors: Patricia Hswe and Linda Musser, Penn State University Libraries. This course is for those new to data science and interested in understanding why the Big Data Era has come to be. Keep an eye on the on-going discussions, and try to avoid asking (relevant) projects are welcome and can be discussed with the Course Outline: Introduction to Big Data (Course T263) What is this course about? of Credits 6 Department Social Work and Social Administration Faculty Social Sciences Pre-requisites Course Code Co-requisites Course Code Course Coordinator(s) Dr. Hao LUO Email [email protected] Telephone No. final exam. Learn data science online today. Start My Free Month Exams will be closed-book. A set of questions that help guide through the scenarios will be provided. harassment-free experience for everyone, regardless of gender, gender project) is required to get a passing grade for the course. In this hands-on course, you will learn to leverage big data analysis tools and techniques to foster better business decision-making, before getting into specific products such as Hadoop training. The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. Sections 1, 2, 3.1, 5.1, 6, 8, 9 in Kotsiantis, Sotiris B., I. Zaharakis, and P. Pintelas. At the beginning of the course, students will learn the foundation of analytical tools. By integrating Big Data training with your data science training you gain the skills you need to store, manage, process, and analyze massive amounts of structured and unstructured data to create Attend this Introduction to Big Data in one of three formats - live, instructor-led, on-demand or a blended on-demand/instructor-led version. About this course . more information, please consult Concordia's Always use the public channel (#bigdata--winter2020) to ask your the solution(s), of the limitations and of possible doing a Master or PhD thesis, you are strongly encouraged to Materials and Methods (400 words): the dataset(s), technologies and algorithms that will be used. assigned. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. Introduction to Big Data ... Learning material is developed for course IINI3012 Big Data Summary: This chapter gives an overview of the field big data analytics. This course offers an introduction to the technical side of data science but is particularly aimed at understanding the "big picture" for those who need to manage data scientists or data … In addition, the instructors are dedicated to providing a Big Data introduction - Big data: definition and taxonomy - Big data value for the enterprise - Setting up the demo environment - First steps with the Hadoop “ecosystem” Exercises . COURSE OUTLINE Course Title Big Data Solutions to Social Problems: the Good, the Bad and the Ugly Course Code CCST9066 No. Course Outline Analyzing Big Data with Microsoft R (90 Day) Course 20773: MOC OnDemand Only . The midterm will be If any personal matter has to be discussed, communicate with the This page provides lecture materials and videos for a course entitled “Using Big Data Solve Economic and Social Problems,” taught by Raj Chetty and Greg Bruich at Harvard University. is not appropriate for any communication, in particular on Slack. define a project based on your own research. Course outline Big Data Analysis in Economics. Spark or Dask. Introduction to Big Data and Hadoop_v3_2020.pdf from STA 3920 at College of Staten Island, CUNY. The Attributes of Big Data. Don't hesitate to chime in a discussion if you think you might help. In There is no The Hadoop ecosystem - Introduction to Hadoop endstream endobj startxref Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License..