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. Advanced topics include: consolidating data in multiple worksheets templates, dealing with error messages, solver and basic macros. The applied business data analytics certificate is open to all ASU students. IT security is growing area with several domains including both information security and network security. The Applied Data Analytics Certificate (ADAC) program is aimed at mature students with other post-secondary education looking to acquire an additional set of skills that are needed in the marketplace. 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. All courses used to satisfy the certificate requirement must be passed with a … This hands-on course was designed for database professionals, data analysts, business analysts and managers. There is an overview of BI tools (MS SQL Server Reporting Services, MS SQL Server Integration Services) and comparisons between different editions of MS SQL Server. Tuition rates are subject to change. Students will also require additional preparation and studying in order to pass these industry certification exams. Participation online via the BCIT Learning Hub and attendance are mandatory during scheduled class hours plus online activities for a minimum of 4 hours per week. The course will cover ETL fundamentals, SQL Server Integration Services (SSIS) tools, and SSIS package development. The Applied Data Analytics Certificate, ADAC from BCIT Computing provides the technical foundations for data analytics systems. Canadian and PR students should budget $10,000 for tuition and books. Administrative support is provided by Joanne Atha. Program surveys and proposals were coordinated by Cynthia van Ginkel, Business Development Manager for SoCAS. Upon successful completion students will have an introduction to project management concepts and be able to conduct a post project evaluation.Prerequisite(s): COMP 1002. COMP courses are now conducted entirely online until further notice. This program is part of the Microsoft Professional Program in Data Analysis. No more than six credit hours may be shared between the certificate and other degree programs, minors or other certificates. Julio Garcia  Admissions Counselor(651) 403-8654 jgarcia5@css.eduSchedule a Meeting Hablo espanol. Both ADAD and ADAC were created and developed by Kevin Cudihee, Program Head for BCIT Computing PTS and Industry Training. They are expected to already know sub-totalling and pivot tables. Metropolitan College’s Applied Data Analytics master’s degree will equip you with: Knowledge of the foundations of applied probability and statistics and their relevance in day-to-day data analysis. ​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. Offered by IBM. Students learn to work in groups to provide detailed written materials and make presentations of their designs. It introduces data analytics fundamentals to students who have previously acquired skills in Excel spreadsheets, database systems, Structured Query Language (SQL) programming and statistics. COMP 4681 is an elective in the Applied Database Administration and Design, ADAD Associate Certificate; the Applied Data Analytics Certificate, ADAC and the Computer Systems Technology, CST/PTS Diploma. 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. Complete COMP 1630 Relational Database Design and SQL prior to declaring the Applied Data Analytics Certificate (ADAC). Discussions include the fundamentals of using the R Language for data analytics. Immersive Experience Leveraging Data to Drive Business Decisions Available online and on campus, the Graduate Certificate in Applied Business Analytics at Boston University’s Metropolitan College (MET) provides the data analytics concepts, techniques, and state-of-the-art tools to help you harness and transform available data into a valuable catalyst for business growth. The Certificate in Applied Econometrics & Data Analytics requires the completion of 12 semester hours of coursework. The course will include reference to the underlying ethics of decision making evidence. Participants will gain experience with data exploration, testing hypothesis, and predictive analytics. Graduates of the certificate will be able to: This certificate is for experienced professionals possessing a bachelor's degree in any field. Please register early to avoid disappointment, our database courses are very popular and fill weeks or months in advance. Specific prerequisites or equivalent knowledge are required for each course. COMP 2256 is a requirement for the Applied Data Analytics Certificate (ADAC). Please note: BCIT does not provide technical support for student's hardware or operating systems. We recommend that students working toward a Computing credential complete COMP 1630 first. This hands-on course follows on from MATH 1060- Statistics for Data Analysis and introduces the students to many of the techniques used in the field of data analytics. 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. Students who hold a bachelor’s degree or higher, and are looking for an applied business analytics program to learn how to harness data and make data-driven business decisions, might consider the Graduate Certificate in Business Analytics available from BCIT’s School of Business. Starting with the basic concepts and components of Hadoop, students will use Hive to query data stored in Hadoop with an SQL-like query language. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle. In class labs, homework assignments and a project focus on how to use Data Quality techniques and tools. Those students who complete two courses per term may typically complete the ADAC program over 3 years. Lectures, lab exercises in class and assignments outside of class are used for an applied learning experience. 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. Students are advised to complete COMP 2454 Python prior to MATH 1060. Students who have completed COMP 2010 should review the entire COMP 1362 syllabus prior to starting. Courses within the tiers can be taken in any order as long as the course prerequisites are met. Successful participants learn how to apply a data quality framework to data migration projects and are better prepared to move on to the specific Business Intelligence Analytic tools covered in: COMP 4679, COMP 4680 and COMP 4681.Prerequisite(s): COMP 1630, Apache Hadoop is the open-source framework designed to help solve some of the storage and analysis issues around Big Data. Check out BCIT's Transfer Equivalency Database to find out. This would equate to an average workload of 25+ hours per week. Upon successful completion of all program requirements, complete an Application for BCIT Credential [PDF] and submit it to Student Information and Enrolment Services. 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. No additional application, approval or fees are required. The average cost for each PTS course for Canadian citizens and permanent residents is around $500-$600 per course plus books. Acquiring effective communication and presentation skills will help advance your career and bring positive attention to your projects and ideas. Phone 604-432-8465 or email cstpts@bcit.ca to find out if PLAR is available for the course you wish to receive credit. Course credit will apply for both credentials if ADAD is completed first. This course is suitable for those aspiring to take up Data Analysis or Data Science as a profession, as well as those who just want to use Excel for data analysis in their own domains. CIS 160 – Learn to Code … This 31-week The certificate requires 18 credit hours to complete, including at least 12 credit hours of upper-division coursework. We may have the answer you’re looking for. Labs and exercises include: using advanced analytics with SQL, advanced Excel and R Studio to clean data and perform analysis. IT professionals across multiple sectors from software development, database, web, mobile and networks will benefit from the material covered. The LEADS Framework will inform the course delivery and learners will be provided with a solid understanding of health leadership application of performance measurement, performance management and governance issues that emerging leaders need to know and apply. Students will follow an iterative and agile approach focusing on User-Centered Design (UCD) as the motivator for product direction. Students must have prior knowledge and skills at using the basic and intermediate features of MS Excel before starting this Advanced MS Excel course. Please understand that there is also no guarantee that the minimum required course credits can be sustained from term to term in PTS. BCIT Policy 5103 - Student Evaluation [PDF] permits a maximum of three attempts to successfully complete each course within a credential. All courses for the certificate must be taken at CU Denver. Students build systems that model data, and learn to use IT tools to mine data for business intelligence and data-driven decision making. 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. Do you have credits from another BC/Yukon post-secondary school? Keep up to date with current data analytics technologies and business intelligence tools. Allow approximately six to eight weeks for processing. Graduate Certificate of Applied Data Analytics The Graduate Certificate is an exit qualification only. COMP 2454 is a required course in the Applied Data Analytics Certificate, ADAC from BCIT Computing. These courses cover topics related to the data analytics process, data transformation, data management, applied statistics, data visualization, storytelling, and the ethical considerations of data analytics. These exams may be purchased for additional costs, from various third parties. By the end of this course, successful participants will know how to use Crystal Reports to produce a variety of different charts and multiple ways to depict data. If you’re interested in pursuing a career in data science, and already have foundational skills or have completed the Introduction to Data Science Specialization, this program is for you! Upon successful completion of this course, participants will be able to define Big Data, identify the basic components of Hadoop, and run queries on Big Data using SQL on Hive.Prerequisite(s): COMP 1630, ​In order to register in COMP 4254 students must have completed all prerequisites. *This course will be offered once each year in the winter term as per the annual course schedule. Labs and exercises employ standard graphical methods to represent statistical data. It requires the completion of 24 units, which are outlined below. 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. Note: Please register early to avoid disappointment, our database courses are very popular and fill weeks or months in advance. Upon approval, a program plan letter will be sent to you confirming your program of study. Power BI is a Microsoft collection of tools and an analytics service for data visualization and business intelligence reporting. This course is deemed equivalent to the full-time diploma courses COMP1712 and ACIT2831 Students who complete COMP 2831 will be prepared to move on to COMP 2833 Agile Software Development with Scrum and the Agile Development Associate Certificate.Prerequisite(s): (COMM 1103 or COMM 1106) and COMP 1516 or COMP 1630. Please complete courses via the tier sequences as indicated. Topics include: an overview of business intelligence the role of Extract, Transform and Load (ETL) in the data warehouse, the typical data warehouse lifecycle, plus an introduction to dimensional modeling for data warehousing. The focus of ADAC is to build and data analytics systems and use popular visual analytics tools like Tableau and PowerBI. 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. CIS 6105 Data Analytics for Decision MakingCIS 6107 Data Storage and RetrievalCIS 6110 Advanced Data AnalyticsCIS 6113 IT Management Ethics. Students approved for a part-time studies program are expected to register and complete courses on a continuous basis. ECON 206 or equivalent. This course replaces COMP 3705 which covered both information security and network security. Successful participants will be able use procedural code in TSQL and .NET to develop and manage the data layer for software applications. Students who have abandoned their approved program of study and wish to be reinstated will be required to apply for program approval for a current credential. BC High School Grade 12 English and Grade 12 Math, or equivalent knowledge are recommended for success. This course prepares the student to move on to MATH 3060 and is a required course for the Applied Data Analytics Certificate offered by BCIT Computing.Prerequisite(s): Math 12 Pre-Calculus or equivalent. The online undergraduate certificate in Applied Business Data Analytics prepares any ASU undergraduate student for modern data-driven, evidence-based decision making processes. Upon completion of this course, successful participants will be aware of best practices in IT security and how to implement secure information systems. 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. Students who exceed the five term maximum will be considered to have abandoned the program. Some summer sections may also be available. Upon completing this program, you will be ready to take advantage of new opportunities and face new challenges in the field of Data Science. , 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]. Crystal Reports is a cost effective business intelligence application provided by SAP for small businesses. 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. Through BCIT’s hands-on exercises and unique applied learning I find my retention is exceptional.”, Stuart Budd, Intermediate Business Analyst at Agreement Express, CST grad and ADAC student, “Classes at BCIT constantly used examples and assignments that were directly applicable to scenarios at my work place – I used skills I learned in classes like Data Quality Improvement and Business Analysis and Systems Design almost every day at my job.”, Andrew Beck, Integration Developer at Traction on Demand, ADAC grad, “Every organization that I know – big or small, from social non-profits to manufacturing – runs on data. This graduate-level certificate is designed for professionals seeking to develop skills and experience working with data in support of improved decision making. 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. Online Applied Business Data Analytics Undergrad Certificate. Usability design and testing, tight integration and collaboration with software development processes are included in UX. Students must already understand industry standards in data modeling, relational database design and creating reports with SQL. Courses will be delivered in real time and may use two way audio and video as well as group work. This is a required course in the Applied Data Analytics Certificate, ADAC from BCIT Computing. COMP 1630 – Relational Database and SQL – Register online now! ECO 300 – Data Analytics for Economics & Business. Students must have skills in Excel spreadsheets, database systems and Structured Query Language (SQL) programming before registering for this course. Computer hardware and Internet requirements. 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. Graduates of the certificate will be able to: Applied Data Analytics Certificate The Certificate in Applied Data Analytics is a foundational certificate, offered 100 percent online. Get equipped with right language to speak in Data and discover better solutions to real-world problems. 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. 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. This field is for validation purposes and should be left unchanged. Courses were developed and delivered by: Diana Gerrard, Joanne Atha, Andrew McConnell, Takashi Nakamura, Benjamin Yu, Frank Wegener, Glen Elliott, Alex Volkov, Pat MacGee, Hessam Teimouri, Dean Palmer, Donabel Santos, Roland Santos, Gordon Hamilton, Steve Overland, and Farshad Abasi. Survey topics include the business impact of DQ, data profiling techniques, DQ capability/maturity models, Data Governance, DQ improvement roadmaps and approaches to gaining executive support for the DQ improvement program. Declaring your Part-time Studies program ensures that BCIT is aware of your intent to complete a program as it is currently outlined and provides you the opportunity to apply for transfer credit.Learn more about program declaration. 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. This introduction will enable students to use statistics for data analysis, will prepare them for “Data Analytics/Mining,” and covers topics appropriate for anyone seeking a first statistics course. BCIT Computing Part-time Studies courses are delivered by subject matter experts who work in the field. Please note: COMP 4681 will be offered in the winter (January) and fall (September) terms. Your education is our priority and we will continue to deliver the applied instruction, collaborative experience, and industry connections that you expect from BCIT. Starting with an overview of the business cycle for data mining, students learn how to translate a business problem into a data mining problem. Attempting 3x COMP courses per term can equate to a 40+ hour workload per week and take 2 years to complete ADAC. Tableau dashboard performance considerations are discussed. 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. Topics include: stakeholders, scope, deliverables, phases, milestones, deadlines, scheduling, estimates and budgets. Hypothesis tests, including ANOVA, are used to test for significant differences between multiple groups. Successful participants will gain a deeper understanding of ETL and Business Intelligence using Microsoft tools. Electives also include: Technical Presentations, UX/UI Development, IT Project Management, Performance Management and Evidence-based Decision Making. There are typically 16 courses required to complete the CSC. Comprehension of computing concepts and applications requirements involving massive computing needs and data storage. Participants are introduced to Variables, Conditions, Operators, Loops, Functions, Arrays, Dictionaries and DataFrames. 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. Through hands-on labs, assignments, projects and group work, participants learn how to build insightful and interactive dashboards. Homework and exercises will focus on getting data into the Hadoop Distributed File System (HDFS), basic file operations, and running queries on existing data. 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