Data analytics is critical in almost all industries, from business and finance to government and healthcare. This is driving the need for people who can analyze and integrate data into business decision-making.
DurationData analytics is critical in almost all industries, from business and finance to government and healthcare. This is driving the need for people who can analyze and integrate data into business decision-making.
Not only does this certificate equip you with that skill set, it also meets the requirements for you to become a Certified Analytics Professional (CAP®). Toronto Metropolitan University is recognized by an industry-leading association, The Institute for Operations Research and Management Sciences (INFORMS).
Career-Ready Support Offered
While enrolled in the Certificate in Data Analytics, Big Data, and Predictive Analytics (or Certificate in Practical Data Science and Machine Learning), you will receive a variety of support, including:
Educator support: instructors, teaching assistants, and data analytics tutors provide support for your hands-on practice with virtual data analytics lab activities.
Synchronous weekly online sessions: in these Zoom sessions, the teaching team, with practitioner-expert, credentialed data scientists as instructors and teaching assistants, addresses learners’ questions and strengthens their hands-on data analytics skills and working knowledge for future jobs in the field.
Discussion forums: the teaching team will monitor discussion forums where learners ask questions on data analytics applied to lab activities, readings, video lectures, assignments, and projects.
Virtual tutor services: the virtual mentor is offered at no cost upon request to certificate registrants taking courses for one-on-one Zoom meetings and for consultations by email about the coursework, assignments, final projects, and career advising.
Career support: data science job search and career advice will be offered during the final capstone course, CIND 820: Big Data Analytics Project.
Alumni networking support: participating alumni will receive informal career and networking support through LinkedIn for certificate candidates and graduates.
Industry and Careers
This certificate can lead to a career in various roles. Here are some examples:
Business analyst
Data analyst
Data scientist
Financial data analyst
Who Should Get This Certificate?
Recent graduates or individuals who want a data analyst or data scientist career and wish to gain the hands-on experience in analytics, coding, tools, and statistics needed to prepare and analyze data to make business decisions
Professionals looking to build their skill set in technically applied data analysis , machine learning, predictive analytics, and data organization and management to advance in their career or change their career to data analytics
Data analysts who want to advance their skills
Managers and business leaders who work with data, manage data analytics projects, or lead teams of data analysts
What will you learn?
After completing this certificate, you will be able to do the following:
Provide a well-refined hands-on education that covers essential skills and knowledge to excel in the data analytics domain, such as understanding data types and structures, data manipulation and cleaning, statistical analysis, data visualization, machine learning techniques, programming languages for querying data, and understanding the business context to provide insights and recommendations effectively.
Gain insight into the next steps for your entry-level or mid-level data analytics career and enhance your practical experience in data analytics and machine learning, as well as your knowledge of AI, to progress to senior roles within the data science domain.
Understand the different types of databases and how to manage and organize them.
Use statistics and machine-learning techniques to prepare, model, and analyze data.
Use programming languages like R and Python to turn data into insights that can help a business.
Tools in use include the following:
R
SAS
Python
Tableau
XPath and XQuery
Structured Query Language (SQL)
Hadoop (MapReduce)
Data Collection and Storage Tools
MySQL
MongoDB
Analytics Tools
Python Libraries for Data Analysis
R Packages for Data Analysis
Integrated Development Environment (IDE)
MySQL Workbench
RStudio
MS-VSCode
Robo3T
We know the world has changed and made life challenging in so many ways. Workplace interactions are taking place primarily through a computer screen, healthcare is moving towards a “tele-first” approach with patients, and people are relying on their phone to do just about everything, from ordering groceries to enrolling in online courses.
With the world in a state of uncertainty, we want to provide education security — with courses that speak to our learners’ needs, help them reach their personal or professional goals, and fit into their busy schedule. Whether a continuous learner is looking to advance their career, pivot professionally, or make their life richer, we’re here for them every step of the way.
The Chang School is more than just a place to learn; we’re on a mission to redefine continuous learning. We’re accomplishing this by listening to our learners and developing programs, certificates, and support services that respond to their goals and the challenges they’re facing — through every learning stage of their life.
We’re also fostering a passionate community of learners, instructors, and staff by creating opportunities for connecting and learning from one another, even in this primarily digital world. From personalized advice to exclusive career-building events, we’re building relationships with our learners so they feel supported in taking the next step in their career journey.
Data Visualizations is very popular for data visualization. It has huge demand currently where data can be presented for better decision-making in organizations.
Microsoft Power BI is the best data visualization and publishing tool (business intelligence - BI). To this tool we add the most effective and popular language: Python, in its Anaconda ecosystem.
This course offers practical implementation of Big Data on various frameworks, such as Hadoop, Hive, Pig, Spark, Scala, etc.
With the explosion of big data, businesses recognize there is a greater need to employ someone who is qualified to correctly analyze the data. In this module, we explore the qualifications for the data analyst as well as the analytic tools associated with the position
This course will focus on job-oriented technical skills. Learning modelling techniques and how to populate these data models, using Extract, Transform and Load (ELT) Technologies.
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