**All Tier 1 courses required as prerequisites. Students build systems that model data, and learn to use IT tools to mine data for business intelligence and data-driven decision making. Some students may want to complete COMP 1910 – Introduction to 3D Simulations and VR/AR concurrently with COMP 1011.Prerequisite(s): COMP 1002 or equivalent knowledge of using a Windows PC and file management. The Certificate in Applied Econometrics & Data Analytics requires the completion of 12 semester hours of coursework. Students will follow an iterative and agile approach focusing on User-Centered Design (UCD) as the motivator for product direction. User Experience (UX) encompasses a wide range of activities including User Interface (UI) design, Information Architecture (IA) and field research. 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 31-week After the mid-term they learn to apply best practices for enhanced report design. This program must be completed within 5 years. COMP 1630 is equivalent to the Full-time CST and CIT Diploma database courses and provides an introduction to relational database design concepts and industry standards. Upon completion, successful students will be able to incorporate user-centered iterative design principles and processes into a wide variety of IT projects. If required, convert transcripts and documents to. 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. COMP 1002 or equivalent knowledge of file management on a Windows based PC. Please email BCIT Computing Part-time Studies: Before you fill out the form, check the information in all the pages for this program. IIT Bombay’s Certificate Program in Digital Marketing and Applied Analytics is a six-month career booster that will empower you to improve reach and boost conversions. NOTE: This part-time certificate program is not designed for fast-track delivery and it will take a minimum of 5-6 PTS terms or 2 years to complete. Upon completing this program, you will be ready to take advantage of new opportunities and face new challenges in the field of Data Science. Starting with relational database foundation students use Excel, SQL Python and statistics to develop data analytics systems. Advanced topics include: an introduction to SQL, DDL- data definition language and DML- data manipulation language, views, security, transaction management, triggers and stored procedures. 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. Graduates of the certificate will be able to: It is recommended that ADAC students complete COMP 1630 prior to taking MATH 1060. Do you want to know if they transfer to courses here at BCIT? Topics include functional dependencies, normalization, database design methodologies, entity relationship modeling and the use of UML as a diagramming notation. There is a basic introduction to Microsoft Project software. All courses for the certificate must be taken at CU Denver. Continuing on from COMP 1630 this course is aimed at students who already understand relational database, data modeling and the importance of improving Data Quality (DQ). There are typically 16 courses required to complete the CSC. , 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]. Hypothesis tests, including ANOVA, are used to test for significant differences between multiple groups. Students begin with a foundation in data visualization techniques and principles. Upon successful completion, students will be able to carry out calculations, perform statistical decision making and solve problems with involving collected data. Following on from COMP 1630 and COMP 3838, this course is for students who already understand relational database design, data modelling, SQL programming and data warehouse foundations for business intelligence. ADAC elective courses include: UX/UI, database development, business intelligence tools for performance management and evidence-based decision making. Students should also plan for 9+ hours reading and homework each week. By the end of this course, successful participants will be expert end users of MS Excel.Prerequisite(s): COMP 1362 or COMP 2010, This hands-on course follows on from COMP 1630, COMP 2362 and was designed to introduce Python fundamentals for data analytics. Upon successful completion, students will be able to effectively analyze large and small data sets while adhering to sound statistical principles. Labs and exercises are designed to create project plans that identify and manage risk and take into account quality measures. Receive Program Info and Financial Aid Options, Master's, Doctoral and Professional Programs, Evaluate business challenges and formulate questions leading to solutions, Identify data needs to answer business questions, Apply modern techniques to retrieve and prepare data for analysis, Communicate results as action-oriented and meaningful, Integrate ethical considerations in data collection and reporting. 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. Please contact the department after completing COMP 1630 and MATH 1060 if you require additional course planning advice, email: cstpts@bcit.ca. BCIT Policy 5103 - Student Evaluation [PDF] permits a maximum of three attempts to successfully complete each course within a credential. The course will examine current practices and protocols, standards of evidence, sources of data, and the application of new knowledge to practice in order to foster change through health sector initiatives and projects. They also focus on the Structured Query Language, SQL to define and manipulate data. Students in this program are required to have solid English comprehension, reading, writing and speaking skills. 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. *This course will be offered once each year in the winter term as per the annual course schedule. Power BI is a Microsoft collection of tools and an analytics service for data visualization and business intelligence reporting. This intensive, hands-on course is the prerequisite for all advanced database courses in BCIT Computing programs. Course credit will apply for both credentials if ADAD is completed first. Students must be computer literate and able to manage file systems on a network. Students are advised to complete COMP 2454 Python prior to MATH 1060. Current trends in database such as replication, object-relational DBMS, data warehousing, OLAP- online analytical processing and database uses web technology are discussed. Usability design and testing, tight integration and collaboration with software development processes are included in UX. Agile frameworks including XP, Extreme Programming, and SCRUM are also introduced. Have a credit card ready to pay the application fee. The focus of ADAC is to build and data analytics systems and use popular visual analytics tools like Tableau and PowerBI. Students in COMP 1630 are required to attend one face to face meeting each week, participate in group work, and an online component, plus complete reading and assignments outside of class. Learn Data Analysis in three courses designed for application of data skills to real-world scenarios, from ethical considerations all the way through to storytelling and specific organizational or industrial contexts. The Applied Data Analytics Certificate, ADAC from BCIT Computing provides the technical foundations for data analytics systems. Total program cost and completion time varies depending on transfer credits and individual program plans. Your education is our priority and we will continue to deliver the applied instruction, collaborative experience, and industry connections that you expect from BCIT. Through hands-on labs, assignments, projects and group work, participants learn how to build insightful and interactive dashboards. COMP 2156 is an elective in several BCIT Computing credentials including the Applied Data Analytics Certificate (ADAC). BCIT Computing Part-time Studies courses are delivered by subject matter experts who work in the field. 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. Please note: COMP 4678 will be offered in the winter (January) and fall (September) terms.Prerequisite(s): COMP 1630 or equivalent knowledge. The applied data analytics certificate is comprised of 18 credits: STA 215 – Introductory Applied Statistics. Starting with an overview of the business cycle for data mining, students learn how to translate a business problem into a data mining problem. To be successful, it is recommended that you complete Tier 2 courses before Tier 3. Following on from COMP 1630, students who already understand data modeling, relational database design and SQL are provided with an in-depth understanding of designing and implementing MS SQL 2016 Server databases advanced T-SQL and scripting methods. COMP 1288 begins with a definition of Project Management fundamentals and terminology. Allow approximately six to eight weeks for processing. This hands-on course was designed for database professionals, data analysts, business analysts and managers. Courses will be delivered in real time and may use two way audio and video as well as group work. Topics covered in this course include the following: copyright, patents, trade secret, trademarks, domain names, cybercrime, privacy, e-commerce and online contracts, and online advertising. This hands-on course is aimed at BCIT Computing students who want to develop and implement an IT project plan. Labs and exercises include: using advanced analytics with SQL, advanced Excel and R Studio to clean data and perform analysis. Online Applied Business Data Analytics Undergrad Certificate. For example, a student enrolled in the Graduate Diploma can subsequently transfer to the Masters award, with credit for courses already completed. The Graduate Certificate in Applied Analytics prepares students to draw on analytical findings to make key decisions in an organization’s strategy. *This course will be offered once each year in the Spring term as per the annual course schedule.*. Network related aspects of IT security are covered in the follow-on course, COMP 4704 “Applied Network Security".Prerequisite(s): COMP 1002 or equivalent knowledge. Participants start at an intermediate level and progress to expert in just 6 lessons while practicing how to create and manage a variety of meaningful spreadsheets. With this program, you will learn statistical and scientific methods for analyzing data via hands-on exercises and video instruction from the expert faculty member Chris Anderson, of Cornell University. STA 323 – Predictive Analytics. Students will also require additional preparation and studying in order to pass these industry certification exams. Upon completion of this course, successful participants will be aware of best practices in IT security and how to implement secure information systems. 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. The applied data analytics certificate is designed to prepare students to employ knowledge gained in analytics methods and applications to a variety of use case scenarios and data sets. Students must have skills in Excel spreadsheets, database systems and Structured Query Language (SQL) programming before registering for this course. Participants learn to present compelling visuals via lab exercises and assignments. By the end of this course successful participants will be able to produce highly interactive graphs, reports and dashboards that access and visualize data from a multiple sources.Prerequisite(s): COMP 1002 or equivalent knowledge, plus a working knowledge of MS Excel. Please contact the department via email: cstpts@bcit.ca if you have any questions. Students should have a personal computer with internet access capable of running MS Windows 10. Note: Industry exams are independent from BCIT credentials. Successful participants will be able use procedural code in TSQL and .NET to develop and manage the data layer for software applications. In this course, you will review sample speeches, perform audience and purpose analysis for your own project, rehearse effective public speaking techniques, and deliver your final presentation to a wider audience. There may be additional MATH prerequisites depending on your prior education as MATH 1060 assumes an understanding of high school MATH 12 precalculus. Labs focus on ETL, data quality considerations, and dimensional modeling concepts including the star and snowflake schemas. Discussions include the fundamentals of using the R Language for data analytics. This program is part of the Microsoft Professional Program in Data Analysis. Topics include: how to install, configure and manage SSAS; designing multidimensional Business Intelligence Semantic Model (BISM), accessing different data sources, creating multidimensional databases, data mining, interacting with cube data using Multidimensional Expressions (MDX) queries from MS Excel. Students are shown how to use Python for basic graphing. 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. ECON 206 or equivalent. 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. Avoiding Pitfalls in … Throughout the duration of the program, a student is permitted a maximum of five academic terms where they are not required to register and complete a course from their approved program of study. Labs and projects using the open source statistical analysis tool, R, build on the skills learned in Math 1060 to apply these advanced techniques. Students approved for a part-time studies program are expected to register and complete courses on a continuous basis. All financial obligations to the Institute must be met prior to issuance of any credential. ADAC graduates will be able to create, manage and use data analytics systems to help organizations make informed and actionable decisions. Students are expected to meet all course Exercises and labs explore data analysis using simple statistics with Python. The Applied Data Analytics Certificate, ADAC program was developed in conjunction with subject matter experts. To view these results, you may need to have the Adobe Acrobat Reader installed in your Web browser. These exams may be purchased for additional costs, from various third parties. Computer hardware and Internet requirements. Attempting 3x COMP courses per term can equate to a 40+ hour workload per week and take 2 years to complete ADAC. Please COMP 2854 and MATH 3060 before starting Tier 3. This weekend workshop provides an overview of data warehouse planning and design for those moving on to the specific Business Intelligence Analytic tools covered in: COMP 4679, COMP 4680 and COMP 4681. There is an overview of Object Oriented Modelling techniques using the Unified Modelling Language (UML) as well as an introduction to Project Management. A project presentation is required and designed to help the students become better communicators. Offered by IBM. 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