Data Analytics for Business Decision Making
Overview
This Graduate Certificate program will enable students to support real world business decision-making and planning through data insights, data management, and data science.
Organizations are relying more than ever before on their internal and external data sources to drive business planning, decision-making, and problem solving. Business Intelligence and Big Data tools accomplish this by enabling unprecedented data collection and data manipulation so organizations can respond quickly to organizational and market changes and opportunities.
The need for graduates with these skills is growing at a rapid rate across all industries. Students will blend theoretical knowledge with hands-on practical skills for data collection, data analysis, and data manipulation. In addition, students will be able to present their analyses and findings to management and key business stakeholders.
Program Suspended
Please be aware this program has been suspended. If you have any questions, please reach out to online@lambtoncollege.ca
Admission Requirements
- University degree, college diploma, or advanced diploma
- Acceptable combination of related work experience and post-secondary education as judged by the College to be equivalent to the above
-or-
Applications for this program are not accepted through ontariocolleges.ca.
Prior Learning Assessment
If you believe you have an equivalent level of knowledge and would like credit through Prior Learning Assessment, please contact online@lambtoncollege.ca or call 519-479-1023 at least two weeks before classes begin.
Credential Eligibility
If you are taking courses with the intention of completing this program and earning a credential, you must meet the Admission Requirements. It is your responsibility to supply proof of admission requirements to the Office of the Registrar before completing three courses in this program.
If you complete the program but fail to provide proof of admission requirements, you will be ineligible to receive your credential.
Costs
Course Fees
- Exact costs can be obtained during the registration process. Visit the Course List and select an individual course for associated course fees.
Need help paying your course fees?
Students in non-OSAP eligible online programs may be eligible for the Lambton College Financial Aid Services Team.
Graduation Fees
Students who successfully complete all the academic requirements for this program should submit their intent to graduate in order to receive their credential. The graduate module can be completed on myLambton via Self Service.
A graduation fee of about $75 is added to your account upon verification that admission requirements have been met. For exact fees contact your Enrolment Services Professional.
Textbooks
Textbook costs may be applicable to each course. Most textbooks can be purchased through textnet.ca, but some exceptions do apply. Some courses may have software or equipment requirements that are not included in the cost of the course and are the responsibility of the student. Please see individual course pages for course-specific textbook information.
Scholarships Available
There are 9 scholarships available for this program, with a total value of $1,000!
Technology Requirements
Courses in this program deal with large data sets and complex models. We recommend that students meet the following minimum computer requirements:
- Hardware
- Intel i7 or AMD Ryzen 7 processor (or better) with chipset that will support virtualization
- 16 GB of RAM
- 1 TB hard drive
- Ethernet Network Card
- Wireless Network Card
- One USB 3.0 port (two preferred)
- Software
- Windows 10 Professional Edition
Courses
Students are introduced to fundamental best practices and tools for presenting data analysis using visuals, tables, info graphs, and reports. They will assess verbal and visual presentation approaches, as well as ethical leadership presence techniques to better communicate with and motivate business stakeholders to make informed decisions. Students will also recommend how to best communicate with these business decision-makers using data visualization tools, such as Tableau, and storytelling so decision-makers will better trust the data.
This course is part of the Data Analytics for Business Decision Making Graduate Certificate program. For more information on the program, please visit lambtoncollege.ca/DATA
Textbooks
The required text for this course can be found by going to textnet.ca, clicking on the "Browse by course" drop-down list and scrolling to Visualization, Leadership, and Business Communications I.
Please Note: Students are not required to purchase textbooks from textnet.ca. However, if students are purchasing textbooks from another source, they must ensure purchased textbooks are the correct edition and include any applicable software or add-ons.
Host Course Name: Visualization, Leadership, and Business Communications I
Students are introduced to fundamentals for strategy and business analysis best practices, approaches, and principles for identifying and securing market and organizational opportunities. They will assess how data analysis and analytics are used in needs analysis, opportunity identification, business problem solving, improvements, leadership ethics, and business stakeholder communications.
Textbooks
There is no required textbook for this course.
Please note: There may be required software or other resources for this course. Please be sure to check the course outline when you first log in to the course.
Host Course Code: AL-DAT1010Host Course Name: Business Analysis and Assessments I
Students are introduced to statistical models and predictive models that support data analytics and business decision-making. They will apply statistical approaches and algorithms to identify model structures to help solve business problems. Students will recommend how to best integrate and calibrate these models and algorithms to increase data quality, usability, and improve predictive analyses to improve system workload and business decision-making.
Textbooks
There is no required textbook for this course.
Please note: There may be required software or other resources for this course. Please be sure to check the course outline when you first log in to the course.
Host Course Code: DU-DATA1284Host Course Name: Statistical and Predictive Modelling for Analytics I
Notes
Note: Please check the minimum computer hardware and software requirements on the program page at lambtoncollege.ca/data
Students are introduced to data analysis principles, practices, and approaches used in research, Big Data, data science, and artificial intelligence. They will analyze the algorithms and statistical models used to support analytics and business decision-making for different industries and functions.
Textbooks
The required text for this course can be found by going to textnet.ca, clicking on the "Browse by course" drop-down list and scrolling to Introduction to Data Analysis.
Please Note: Students are not required to purchase textbooks from textnet.ca. However, if students are purchasing textbooks from another source, they must ensure purchased textbooks are the correct edition and include any applicable software or add-ons.
Host Course Code: DU-DATA1280Host Course Name: Introduction to Data Analysis
Notes
Note: Please check the minimum computer hardware and software requirements on the program page at lambtoncollege.ca/data
Students are introduced to data sources, informatics, data models, data management and data ownership; all key components to the data-driven organization. They analyze the common practices, prioritization approaches, system workload and security challenges for systems that support high data volumes and analytics. Students assess the individual, legal and society impacts of collecting data, including social media data. They also assess the historic problems with data collection and data management and how the current tools are used to address these problems.
Textbooks
There is no required textbook for this course.
Host Course Code: AL-DAT1040Host Course Name: Data Collection and Data Management
Students are introduced to different scripting language tools such as SQL, NOSQL, Apache, Java and Python that support data analysis on large volumes of data. They also analyze the strengths and limitations of current tools used today. Students review and recommend which tools best support data analysis, data quality, problem solving, analysis, analytics and business decision-making for different functions and industries.
Textbooks
There is no required textbook for this course.
Please note: There may be required software or other resources for this course. Please be sure to check the course outline when you first log in to the course.
Host Course Code: AL-DAT1030Host Course Name: Data Analysis Tools for Analytics
Students will deepen their understanding in best practices and tools for presenting data analysis. They will assess rhetoric presentation approaches and executive presence techniques to better communicate with and motivate business stakeholders to act as a group. Students will recommend how to best influence business decision-makers that are resistant to change.
Textbooks
The required text for this course can be found by going to textnet.ca, clicking on the "Browse by course" drop-down list and scroll to Visualization, Leadership and Business Communications II.
Please Note: Students are not required to purchase textbooks from textnet.ca. However, if students are purchasing textbooks from another source, they must ensure purchased textbooks are the correct edition and include any applicable software or add-ons.
Host Course Code: LA-DTA2004Host Course Name: Visualization, Leadership and Business Communications II
Students will deepen their respective understanding in strategy and business analysis best practices for identifying and securing market and organizational opportunities. They will conduct research and assess how data analysis and analytics are used in needs analysis, opportunity identification, changing culture, changing business models, corporate politics, and strong business stakeholder personalities. Students will recommend approaches based on organizational needs, business stakeholders, and corporate culture.
Prerequisite(s):
Textbooks
There is no required textbook for this course.
Please note: There may be required software or other resources for this course. Please be sure to check the course outline when you first log in to the course.
Host Course Code: AL-DAT1020Host Course Name: Business Analysis and Assessments II
This course will build on the learnings from the Statistical and Predictive Modelling I course and cover more advanced concepts such as regression analysis, clustering algorithms, conjoint measurement, and decision tree analysis. Students will be able to integrate and calibrate these model structures for evaluation and implementation purposes.
Prerequisite(s):
Please contact us to find out when the next start date will be.
Students are introduced to business ethics, applied ethics, and social psychology. They will assess today's most important ethical dilemmas and the human behaviours that drive them. Students will recommend how to best navigate corporate landscapes, political influencers, and social contexts to ensure ethical decision-making.
Textbooks
The required text for this course can be found by going to textnet.ca, clicking on the "Browse by course" drop-down list and scrolling to Critical and Ethical Decision Making.
Please Note: Students are not required to purchase textbooks from textnet.ca. However, if students are purchasing textbooks from another source, they must ensure purchased textbooks are the correct edition and include any applicable software or add-ons.
Host Course Code: LA-PHL1303Host Course Name: Critical and Ethical Decision Making
Students are introduced to best practices, approaches, and tools for managing and delivering analytics, predictive analyses, ETL, and data projects. They will assess approaches around estimation, scoping, planning, data cleaning, data migration, data quality, and risk mitigation. Students will recommend how to best communicate their assessments to business stakeholders.
Textbooks
The required text for this course can be found by going to textnet.ca, clicking on the "Browse by course" drop-down list and scrolling to Project Management for Analytics.
Please Note: Students are not required to purchase textbooks from textnet.ca. However, if students are purchasing textbooks from another source, they must ensure purchased textbooks are the correct edition and include any applicable software or add-ons.
Host Course Code: LA-BDM3023Host Course Name: Project Management for Analytics
Students will integrate and apply the knowledge and skills they gained throughout program. They will research, plan, and execute a project that meets a real-world financial, market or organizational need. Projects will emphasize the students' expertise with data analysis, analytics, data science, and business intelligence / Big Data tools.
Prerequisite(s):
- DTA-1033 Introduction to Data Analysis
- DTA-1054 Data Analysis Tools for Analytics
- DTA-2013 Business Analysis and Assessment II
- PHL-1303 Critical and Ethical Decision Making
- DTA-1043 Data Collection and Data Management
- DTA-2004 Visualization, Leadership and Business Communications II
- DTA-2024 Statistical and Predictive Modelling for Analytics II
- BDM-3023 Project Management for Analytics
Please contact us to find out when the next start date will be.
- Courses must be taken in the order listed to complete the required prerequisites.
- To receive full-time OSAP for this program, students must start in the January intake.
Have Questions?
If you have any questions about our online programs, the courses offered, the registration process, or any other Online Education related questions, reach out to us.
Contact
Online Education
After Graduation
Employment Opportunities
Career positions may include, but are not limited to: Analytics Visualization Analyst, Big Data Architect, Big Data Analytics Developer, Big Data Security/Threats Analyst, Business Data Analyst, Business Intelligence Analyst, Project Manager, Data Scientist.
More Information
Prepare for Success
Variations due to Section
Remember to review the important dates associated with this program - some deadlines may be different depending on how your program is delivered and what section you're enrolled in.
Technology Requirements
It is required that students purchase a laptop with a Windows operating system.
Internet Speed Requirements
For best performance for students learning remotely, an internet connection with a minimum of 40 Mbps download and 10 Mbps upload speed is recommended in order to effectively use video conferencing and remote lecture delivery software as well as, other online resources remotely. Due to the large area over which students may be dispersed, we are unable to recommend a specific provider, so you will need to inquire around your area to find one that best suits your needs.
Minimum Laptop Requirements
In order to access the internet and virtually-delivered software and courseware, student laptops should include the following at a minimum. By meeting the following specifications, students will be equipped to access software and courseware on their laptop through the internet:
- Intel i5 8th Gen Processor or equivalent
- 16 GB of RAM (with a minimum of 8 GB)
- 100 GB HDD or more
- HD Graphics
- Webcam with a microphone
- Wireless 802.11n/ac 5ghz capable
- Windows Operating System (Windows 11)
Software
To ensure students are getting the most our of their classroom experience, some software will be required.
Lambton College has made this software easily accessible online. Students can leverage our Microsoft Office 365 software packages and services. In addition, much of the software you require for your courses will be available on demand for use on any device - on or off campus.