Your education is our priority and we will continue to deliver the applied instruction, collaborative experience, and industry connections that you expect from BCIT. COMP 2252 is an elective in the Applied Computer Applications (ACA), and the Applied Database Administration and Design (ADAD) Associate Certificates, as well as the Applied Data Analytics Certificate (ADAC) and the CST/PTS Diploma. * Tuition rates are for the 2020-21 academic year. Undergraduate as well as graduate students, depending on their field of study, may obtain certificates.Used in everything from ecommerce to online publishing, data analytics are used to gauge how efficiently a website runs and how effectively its content re… There is increasing demand in the workforce for graduate Students must have prior knowledge and skills at using the basic and intermediate features of MS Excel before starting this Advanced MS Excel course. Upon completion, successful students will be able to incorporate user-centered iterative design principles and processes into a wide variety of IT projects. Topics include: stakeholders, scope, deliverables, phases, milestones, deadlines, scheduling, estimates and budgets. Students will also require additional preparation and studying in order to pass these industry certification exams. Graduate Certificate of Applied Data Analytics Students can apply directly to either the Graduate Diploma or Masters awards, and can also transfer between award programs. Effective data analysis techniques, and industry standard best practices are discussed. Have a credit card ready to pay the application fee. Computer hardware and Internet requirements. All courses used to satisfy the certificate requirement must be passed with a … This graduate-level certificate is designed for professionals seeking to develop skills and experience working with data in support of improved decision making. The certificate in applied business data analytics is open to all undergraduate students at Arizona State University. It follows on from COMP 2362, it assumes that students have an understanding of statistics for data analysis and advance functions of MS Excel. Participants are introduced to emerging sources of digital mapping data, data standards, mapping compilation procedures, mapping systems, plus an introduction to cartography tools and techniques in data analytics and Big Data. Accountability systems and processes used across Canada’s provinces and territories will be analyzed and applied. Both ADAD and ADAC were created and developed by Kevin Cudihee, Program Head for BCIT Computing PTS and Industry Training. 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. This is a BYOD courses and students must provide their own Windows 10, or macOS 10.3 or higher dual core laptop with a minimum of 8GB RAM to participate in this course. This course is an elective in five School of Computing and Academic Studies credential programs; Computer Systems Technology Diploma (CST/PTS), Applied Computer Information Systems (ACIS), Applied Computer Applications (ACA), Applied Database Administration and Design (ADAD) and Technical Writing. Courses are primarily delivered in Windows based PC computer labs in a lecture/lab format. There may be additional MATH prerequisites depending on your prior education as MATH 1060 assumes an understanding of high school MATH 12 precalculus. Critical thinking and analysis activities will be applied throughout the course and the LEADS Framework will inform the course delivery. Crystal Reports is a cost effective business intelligence application provided by SAP for small businesses. Students will be introduced to the open source R Programming language, a statistical analysis tool used to extract meaningful information from a variety of scientific, industrial and commercial data sets. Attendance and participation are mandatory, students who skip classes or who do not participate may be dropped from a COMP course. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle. This course replaces COMP 3705 which covered both information security and network security. Students who only complete one course per term will take 5 years to finish this certificate. COMP 1002 or equivalent knowledge of file management on a Windows based PC. There is an overview of Object Oriented Modelling techniques using the Unified Modelling Language (UML) as well as an introduction to Project Management. Agile frameworks including XP, Extreme Programming, and SCRUM are also introduced. Topics will include: security awareness, risk mitigation and control administration, data and application security, cryptography, attack techniques, penetration testing, vulnerability assessment, incident response, disaster recovery, and forensic analysis. Topics include: Data Analysis Expressions, DAX, relationships and Data Visualization. They also focus on the Structured Query Language, SQL to define and manipulate data. The Professional Certificate in Applied Data Science from the Thayer School of Engineering at Dartmouth positions professionals to take full advantage of this trend. Students who have completed COMP 2010 should review the entire COMP 1362 syllabus prior to starting. Please contact the department for course planning: email@example.com. Exercises and labs help students obtain a thorough understanding of Microsoft SQL Server 2016 from a database developer perspective, with a focus on how to create views, stored procedures and triggers. Do you have credits from another BC/Yukon post-secondary school? No more than six credit hours may be shared between the certificate and other degree programs, minors or other certificates. Students will be considered to have met the requirements for the Applicants to this course are advised to check the entry requirements — all participants will have a high level of prior study in a cognate area, or a minimum of eight years documented, relevant work experience. We may have the answer you’re looking for. ADAC graduates will be able to create, manage and use data analytics systems to help organizations make informed and actionable decisions. I returned to BCIT to study part time and earn a certificate in Applied Data Analytics. Building on statistics, data mining, Python for Data Analysis and visualization techniques, students who have completed the core requirements of ADAC will be able to integrate these advanced topics into a data analytics project. This credential was approved by the Computer Systems Technology, CST Curriculum Committee and School of Computing an Academic Studies Quality Committee, SQC. COMP 2156 is an elective in several BCIT Computing credentials including the Applied Data Analytics Certificate (ADAC). In class labs and exercises focus on how to model, explore, clean and transform simple data for business reports. Students are first introduced how to plan Crystal Reports designs and then how to develop basic business intelligence reports. 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. Complete Tier 1 before starting Tier 2. Check out BCIT's Transfer Equivalency Database to find out. Students must be computer literate and able to manage file systems on a network. Data Analytics Certificate Synthesize data to gain insights and drive strategic decisions. Most Computing Part-time Studies credentials cannot be fast-tracked in less than 2 years due to prerequisites and scheduling. Course requirements for the Certificate in Applied Data Science: The undergraduate certificate program in Applied Data Science requires 18-20 hours of coursework, with 12 hours of core courses and 6-8 hours of electives. Upon successful completion of COMP 4681 students will be able to use SSAS to deploy an Analysis Services database with multiple levels of security for data mining, they will be able to extract data from collections of multiple data sources and applications.Prerequisite(s): COMP 1630 and COMP 3838, This online course will provide a comprehensive introduction to the range of accountability and performance measurements approaches used in the Canadian health sector. This would equate to an average workload of 25+ hours per week. Through a number of problems and case studies, students will build, assess, and deploy different models to gain insights into the data by testing probable hypotheses using primarily SQL and Excel. Students should have a personal computer with internet access capable of running MS Windows 10. Upon program completion, students will be able to develop secure business intelligence database solutions for data analytics. Current trends in database such as replication, object-relational DBMS, data warehousing, OLAP- online analytical processing and database uses web technology are discussed. If required, convert transcripts and documents to. These reports combine the last three years of available results for the 2017-2019 BCIT Outcomes Surveys of 2016-2018 graduates and for Degree 2015-2017 graduates. Participants will be expected to work within interdisciplinary teams, with emphasis on collaboration, brainstorming, and continued evolution of an interface concept based on UCD. Those students who have been away from higher math or need a refresher should consider completing the new online MATH 0060 prior to MATH 1060. Exercises and labs explore data analysis using simple statistics with Python. Labs and exercises include: using advanced analytics with SQL, advanced Excel and R Studio to clean data and perform analysis. Students are shown how to use Python for basic graphing. Students learn to work with a variety of structured and unstructured data sources to model, analyze and visualize data. This course has been designed with a number of … Students registered in COMP 2256 will receive a student license for Tableau software for their home machines for the duration of the course and have access to a Tableau subject matter expert with industry experience. Students learn how to ask implicit questions, to create and document communication plans and to make better decisions prior to creating an information system. Students build systems that model data, and learn to use IT tools to mine data for business intelligence and data-driven decision making. Graduates of the certificate will be able to: This certificate is for experienced professionals possessing a bachelor's degree in any field. 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. 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. Typical part-time students may complete the ADAC over 3 years with 2 courses per term. Students in this program are required to have solid English comprehension, reading, writing and speaking skills. Some summer sections may also be available. Please note: COMP 4679 will be offered in the Spring (April) and Fall (September) terms.Prerequisite(s): COMP 1630 and COMP 3838, This advanced course follows on from COMP 4677 and is designed for those who already understand relational database design, data modelling, SQL programming and MS SQL Server Administration but have little or no extract, transform, and load (ETL) experience. Students will complete labs and exercises to experience applied IT security and gain a practical knowledge. Additional fees and costs for course materials may apply. Data is the new gold in the digital era, where companies are now learning how its power can change internal processes and unveil much more than trends or patterns. To receive the Advanced Certificate in Applied Data Analytics, individuals will need to complete all the following modules offered by Singapore Management University Academy: Applying Data Analytics to Sales and Marketing through Linear Models. Graduate Certificate of Applied Data Analytics In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Upon successful completion of all program requirements, complete an Application for BCIT Credential [PDF] and submit it to Student Information and Enrolment Services. Students approved for a part-time studies program are expected to register and complete courses on a continuous basis. As a result, students may not be able to obtain the minimum credits they need or want in each term to continue in the program. Students will be prepared to move on to MATH 3060 Advanced Statistical Techniques for Data Analytics and COMP 4254 Advanced Topics in Data Analytics.Prerequisite(s): COMP 1630, COMP 2362 and MATH 1060. It is recommended that ADAC students complete COMP 1630 prior to taking MATH 1060. 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