This hands-on workshop continues on from COMP1630, and assumes prior knowledge of the industry standards in data modeling, relational database design, and SQL programming. Computer hardware and Internet requirements. CIS 160 – Learn to Code … And statistical studies have shown that 20-35% of an organization’s revenue is likely wasted every year due to poor data quality, says BCIT instructor and Senior Data Quality Specialist at gaming giant Electronic Arts (EA) Gordon Hamilton.” Read the complete article. Topics include: architecture, new SQL 2016 components, T-SQL review, new T-SQL constructs for SQL Server 2016, programmable objects, security for the database developer and performance tuning procedures. BCIT Computing Part-time Studies COMP courses are delivered by subject matter in Computing and Information Technology, Math, Business Systems, Law, Business Intelligence and Analytics. Participants are provided with an in-depth understanding of authoring, managing and delivering traditional and interactive reports using Microsoft SQL Server 2016 Reporting Services (SSRS). Labs focus on ETL, data quality considerations, and dimensional modeling concepts including the star and snowflake schemas. Upon successful completion, participants will be able to identify the process of data analysis, the roles of data analytics practitioners and how to create analytics models. Please note: COMP 4681 will be offered in the winter (January) and fall (September) terms. For example, a student enrolled in the Graduate Diploma can subsequently transfer to the Masters award, with credit for courses already completed. Students must have skills in Excel spreadsheets, database systems and Structured Query Language (SQL) programming before registering for this course. Only those students who have completed COMP 2010 and who have self studied all of the topics in COMP 1362 should register for this advanced level course. Participants are introduced to Variables, Conditions, Operators, Loops, Functions, Arrays, Dictionaries and DataFrames. ADAC is not designed for those students just out of high school with no other education or work experience; those students should consider completing a Diploma or Degree in order to be well positioned in the job market. Labs and projects using the open source statistical analysis tool, R, build on the skills learned in Math 1060 to apply these advanced techniques. This may impact both the number of courses a student is able to take in any term, and the time it takes to complete a PTS credential. Part-time studies delivery on evenings and weekends.COMP courses typically run weeknights at the Burnaby Campus from 6:30-9:30 p.m. and at the Downtown Campus from 6:00-9:00 p.m. Students will use Business Intelligence Development Studio (BIDS) in the lectures and labs to work with control flows, data flows, variables, package configuration and deployment, security, troubleshooting, logging and tuning. Lectures and labs introduce the normal usage of a Hadoop system using the Cloudera Quickstart virtual machine. Upon successful completion, participants will be able to present an advanced data analytics project start-to-finish.Prerequisite(s): COMP 2256 and COMP 2454 and COMP 2854 and COMP 3840 and MATH 3060. This course is required for the Applied Data Analytics Certificate offered by BCIT Computing.Prerequisite(s): MATH 1060 or equivalent. Methods appropriate for scientific data are also discussed. There will be a review. The eCornell Data Analytics certification program is designed to help individuals learn the functional literacy in critical business analytics. There is a basic introduction to Microsoft Project software. ADAC graduates will be able to create, manage and use data analytics systems to help organizations make informed and actionable decisions. Upon successful completion, students will be able to effectively analyze large and small data sets while adhering to sound statistical principles. Labs and assignments are designed to provide best practices that can be transferred to the workplace. Students receive an overview of Microsoft SQL Server 2016 Analysis and Integration Services, which provides additional business intelligence architecture concepts and some preparation towards the Microsoft certification exams. The Certificate in Applied Econometrics & Data Analytics requires the completion of 12 semester hours of coursework. This hands-on course was designed for database professionals, data analysts, business analysts and managers. The Applied Data Analytics Certificate, ADAC program was developed in conjunction with subject matter experts. With the proliferation of data across all sectors of the global economy, there is an immediate need for individuals to be knowledgeable in how to harness data for continuous analysis and study. ADAC includes group work, written communications of technical system specifications and oral presentations in a team environment. Plus COMP 2010 or COMP 1362 or equivalent knowledge of MS Excel Spreadsheet Fundamentals. Students begin with a foundation in data visualization techniques and principles. Students must be computer literate and be able to log in during regular scheduled class hours in order to participate and complete each COMP course. Some students may complete ADAC over 2 years (5-6x PTS terms) with 3 specific courses per term which equates to an average workload of 40+ hours per week between class time, reading and homework. Effective data analysis techniques, and industry standard best practices are discussed. Graduate Certificate of Applied Data Analytics The Graduate Certificate is an exit qualification only. COMP 3704 will provide a more in depth overview of key topics in information security only and is one of the prerequisites for COMP 4704 Applied Network Security. There is an overview of Object Oriented Modelling techniques using the Unified Modelling Language (UML) as well as an introduction to Project Management. BCIT Policy 5103 - Student Evaluation [PDF] permits a maximum of three attempts to successfully complete each course within a credential. STA 340 – Statistics in the Media OR. It introduces data analytics fundamentals to students who have previously acquired skills in Excel spreadsheets, database systems, Structured Query Language (SQL) programming and statistics. This course is required in the Applied Data Analytics Certificate (ADAC) and is elective in the Applied Computer Information Systems (ACIS) Associate Certificate from BCIT Computing. In the non-technical Applied Business Analytics program, you will learn a practical framework that includes data models, decisions, and value, building confidence in using data to improve decision-making. Several of the Microsoft SQL-related electives in this program provide preparation for Microsoft Certification exams. By the end of this course successful students will be able use the Power BI unified analytics platform to build and publish high quality dashboards to the web.Prerequisite(s): COMP 2362 Microsoft Excel Advanced or equivalent knowledge. Administrative support is provided by Joanne Atha. A project presentation is required and designed to help the students become better communicators. Additional fees and costs for course materials may apply. This practical course is for BCIT Computing and Business students who want to learn about laws and policies applicable to the Internet and information technology, as well as intellectual property rights. The course will focus on the challenge of providing health services based on unlimited demand but the harsh reality of a fixed capacity of resource. Students should also plan for 9+ hours reading and homework each week. Continuing on from COMP 1630 this workshop is a primer on business intelligence, data warehouse and data analytics for those moving on to higher level courses. Successful participants will learn to extract the data from its multiple collections of applications and data sources, how to deliver and manage reports, to integrate SSRS reports and apply best practices for reports authoring, deployment and management. This course will include the integration of leadership ethics. Participants build on their existing database skills to work with larger and more complex data sets and to gain an overview of Hadoop and Big Data. This course also helps to prepare for the SSIS component of the Microsoft Certified Technology Specialist (MCTS): Business Intelligence Developer, which is available through third parties for additional fees. Students who require a minimum course load to retain eligibility for financial aid or international student status have no guarantees that all or any Part-time Studies (PTS) courses will be available in any given term. The 12-credit certificate program can be completed in two semesters and consists of four foundational courses from the Master of Science in Applied Data Analytics curriculum. Complete COMP 1630 Relational Database Design and SQL prior to declaring the Applied Data Analytics Certificate (ADAC). Students who have completed COMP 2010 should review the entire COMP 1362 syllabus prior to starting. Allow approximately six to eight weeks for processing. Students build systems that model data, and learn to use IT tools to mine data for business intelligence and data-driven decision making. Students are shown how to use Python for basic graphing. This is a required course in the Applied Data Analytics Certificate, ADAC from BCIT Computing. The Certificate in Applied Data Analytics is a foundational certificate, offered 100 percent online. Upon successful completion, participants will be able to design and implement a database application and be prepared to move on to higher level database courses including: Data Warehouse, Data Quality, MySQL, MS Business Intelligence, MS SQL Server and Oracle.Prerequisite(s): COMP 1002 or equivalent knowledge of a Windows PC and file management. Course credit will apply for both credentials if ADAD is completed first. Starting with an overview of the Python IDE, participants will explore foundational programming concepts. They are shown how to get a variety of data into the Power BI Desktop from multiple sources. , Integration Developer at Traction on Demand, ADAC grad, COMP 1630 Relational Database Design and SQL, Graduate Certificate in Business Analytics, BCIT Policy 5103 - Student Evaluation [PDF]. Check current availability of courses for this program. These exams may be purchased for additional costs, from various third parties. There is increasing demand in the workforce for graduate Please email BCIT Computing Part-time Studies: Before you fill out the form, check the information in all the pages for this program. Comprehension of computing concepts and applications requirements involving massive computing needs and data storage. Exercises and labs explore data analysis using simple statistics with Python. 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