research analysis course

Data Analysis Courses

• Social Sciences

Introduction to Digital Humanities

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

Data Science: Inference and Modeling

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Data Science: Productivity Tools

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Data Science: Linear Regression

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Data Science: Probability

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Data Science: Capstone

Show what you’ve learned from the Professional Certificate Program in Data Science.

Data Science: R Basics

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Data Science: Visualization

Learn basic data visualization principles and how to apply them using ggplot2.

Case Studies in Functional Genomics

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

Introduction to Bioconductor

The structure, annotation, normalization, and interpretation of genome scale assays.

Advanced Bioconductor

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

High-Dimensional Data Analysis

A focus on several techniques that are widely used in the analysis of high-dimensional data.

Statistical Inference and Modeling for High-throughput Experiments

A focus on the techniques commonly used to perform statistical inference on high throughput data.

Introduction to Linear Models and Matrix Algebra

Learn to use R programming to apply linear models to analyze data in life sciences.

Data Analysis for Life Sciences

Master key concepts using the r programming language.

This HarvardX professional certificate program gives learners the necessary skills and knowledge to analyze data in the life sciences.

What You'll Learn

Technological advances have transformed fields that rely on data by providing a wealth of information ready to be analyzed. From working with single genes to comparing entire genomes, biomedical research groups around the world are producing more data than they can handle and the ability to interpret this information is a key skill for any practitioner. The skills necessary to work with these massive datasets are in high demand, and this series will help you learn those skills.

Using the open-source R programming language, you’ll gain a nuanced understanding of the tools required to work with complex life sciences and genomics data. You’ll learn the mathematical concepts — and the data analytics techniques — that you need to drive data-driven research. From a strong foundation in statistics to specialized R programming skills, this series will lead you through the data analytics landscape step-by-step.

Taught by Rafael Irizarry from the Harvard T.H. Chan School of Public Health, these courses will enable new discoveries and will help you improve individual and population health. If you’re working in the life sciences and want to learn how to analyze data, enroll now to take your research to the next level.

The course will be delivered via edX and connect learners around the world. 

Courses in this Program

2–4 hours per week, for 4 weeks An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

2–4 hours per week, for 4 weeks Learn to use R programming to apply linear models to analyze data in life sciences.

2–4 hours per week, for 4 weeks A focus on the techniques commonly used to perform statistical inference on high throughput data.

2–4 hours per week, for 4 weeks A focus on several techniques that are widely used in the analysis of high-dimensional data.

Your Instructor

Rafael Irizarry

Professor of Biostatistics at Harvard University Read full bio.

Michael Love

Assistant Professor, Departments of Biostatistics and Genetics at UNC Gillings School of Global Public Health Read full bio.

Job Outlook

• R is listed as a required skill in 64% of data science job postings and was Glassdoor’s Best Job in America in 2016 and 2017. (source: Glassdoor)
• Companies are leveraging the power of data analysis to drive innovation. Google data analysts use R to track trends in ad pricing and illuminate patterns in search data. Pfizer created customized packages for R so scientists can manipulate their own data.
• 32% of full-time data scientists started learning machine learning or data science through a MOOC, while 27% were self-taught. (source: Kaggle, 2017)
• Data Scientists are few in number and high in demand. (source: TechRepublic)

Ways to take this program

When you enroll in this program, you will register for a Verified Certificate for all 4 courses in the Professional Certificate Series. 

Alternatively, learners can Audit the individual course for free and have access to select course material, activities, tests, and forums. Please note that Auditing the courses does not offer course or program certificates for learners who earn a passing grade.

NCRM delivers training and resources at core and advanced levels, covering quantitative, qualitative, digital, creative, visual, mixed and multimodal methods

20th Anniversary Impact Prize

Tell us how NCRM has helped you to make an impact

Short courses

Browse our calendar of training courses and events

Featured training course

16 April 2024

Our resources

NCRM hosts a huge range of online resources, including video tutorials and podcasts, plus an extensive publications catalogue.

Online tutorials

Access more than 80 free research methods tutorials

Resources for trainers

Browse our materials for teachers of research methods

Methods News

NCRM annual lecture to explore AI in social research

Contribute to MethodsCon: Futures

Applications open for NCRM 20th Anniversary Impact Prize

Research Analyst

Online full-time programs.

Online full-time programs are offered as either Daytime, or a combination of Evenings and Saturdays. Check your program Dates and Times to see what the program commitment will be.

Find out more about Full-Time Online programs

Humber is proud to have the highest graduate employment and employer satisfaction rate of the GTA colleges based on Colleges Ontario’s key performance indicators for college graduates in 2022-2023.

Program Overview

In the current knowledge economy and information age, and as organizations recognize the growing need for research on which key policy and strategic decisions are based, the demand for social, market and marketing research has increased substantially. The Research Analyst graduate certificate program focuses on the theoretical, practical and ethical underpinnings of research while equipping you with the statistical, technical and professional skills necessary to do applied research in a variety of different settings throughout the public and private sectors.

In this program, you will focus on all of the major aspects of the research process including research design, information retrieval and evaluation, data collection, analysis and interpretation, and the preparation and presentation of research findings.

Special features of the program include:

• creating research deliverables
• critical analysis of research studies
• data storytelling
• data visualization
• new research technologies
• philosophical frameworks for research
• placement and career preparation
• professional and ethical concerns when designing research studies
• report, proposal and grant writing
• research project management

At Humber, courses are delivered in a variety of formats:

In-Person - An in-person course is delivered fully on campus.

Online Asynchronous (A) - An online asynchronous course has no fixed class schedule and allows students to engage with the course at different times according to their needs. Faculty provide modules, which are completed independently by the students according to established deadlines.

Online Synchronous (S) - An online synchronous course is delivered fully online and requires faculty and students to participate in real-time according to a fixed schedule. Classes are scheduled for a specific day and time.

Hybrid - A hybrid course is a combination of in-person and online classes and follows a set schedule. Students must be available to attend in-person classes at scheduled times during the semester.

The chart below outlines the delivery options available for each course in this program, by campus. For some academic terms, there may be more than one delivery option available. You’ll be able to select your preferred options when building your course schedule during open enrolment. Preferences for course delivery will be considered on a first come, first served basis. Some Humber programs are also delivered fully online, where all courses are delivered online.

International students: the impact of studying from outside of Canada on Post-Graduation Work Permit (PGWP) eligibility differs significantly based on when you start your program. Please review the PGWP eligibility before choosing your program and course delivery.

Work-Integrated Learning  

Work-integrated learning  .

Students complete a twelve-week field experience allowing them to gain valuable practical and professional skills.

Work-Integrated Learning (WIL) at Humber

Work-integrated learning.

Work-integrated learning opportunities prepare you for your future career. You will apply what you’ve learned in class and in real-world environments through a wide range of academic, community and industry partnerships. These work-integrated learning opportunities may include field experiences, professional practicums and co-operative education.

Field Experience

A field experience offers students an opportunity to engage in intensive experiences related to their field of study or career goals to build their skills, knowledge and abilities. Field experiences may be paid or unpaid.

Professional Practicum

Programs requiring a professional practicum offer practice-based experience or work hours for a professional license or certification. Students work under the direct supervision of an experienced professional. Placements are unpaid.

Co-operative Education

Students in co-op programs gain experience through paid work terms in their field of study that become progressively more complex as their skill level increases.

Optional Co-operative Education

Students in co-op programs gain experience through paid work terms in their field of study that become progressively more complex as their skill level increases. The co-op portion of this program is optional.

If you would like to learn more about work-integrated learning at Humber, visit WIL AT HUMBER

The Humber Advantage

What is a research analyst.

Is our program right for you? You should be detail-oriented, enjoy doing research, and have good communications skills. You care about accuracy and you enjoy thinking critically and analytically and then explaining what you have learned to others.

Student Testimonials

I enrolled in the Humber Research Analysts Post-Grad Program looking for a career change and in less than a year I was working in the research field. The program helped me by connecting me with industry professionals and providing me with the necessary skills needed to land a job in market research. The course gave me the chance to put my knowledge and skills into practice with an internship placement which ultimately lead me to a job. It's amazing how in a year so much has changed and I've been able to kick-start my career in this industry! –  N.P.

This program really works! With research courses comparable to those at a master's degree level, strong industry connections, and outstanding guest speakers, the program justified - and exceeded by far - all my expectations.  – V.T.

Scholarships

Research Analyst Entrance Scholarship

A Scholarship is presented to a student who has demonstrated academic proficiency (minimum of 80 per cent average) and involvement in extracurricular activities that clearly indicate a commitment to their community as selected by the scholarship committee. In addition, two reference (education, employment and/or community) letters are to be included in the submission package, these reference letters must explain the recipient's commitment to their studies, their academic and/or career goals and their focus on giving back to others. These aspects have also been addressed by the recipient through the submission of a letter addressed to the selection committee (1-2 pages in length), where they also indicate how this scholarship will enable them to succeed in their studies.

Logit Group Scholarship

Presented to students who identify as Black/African or Indigenous and are entering the Research Analyst Program. Students must demonstrate financial need, an interest in marketing research and have made contributions to their community. Preference will be given to student who are a Canadian citizen or permanent resident.

Excellence in Social Research

This annual award is presented to a graduate of the Research Analyst Graduate Certificate Program who has demonstrated a strong commitment to social issues as well as exceptional skills in social research while maintaining an 80% average of higher.

Academic Excellence Award in Research

This annual award is presented to the graduate of the Research Analyst Graduate Certificate Program who has achieved the highest overall average.

Research Analyst Award of Merit

Presented to a group of students who produced an exemplary research project in partial fulfillment of the requirements of RAPP 5011: Research Project Management. The research project authors will have demonstrated a mastery of research design, qualitative and/or quantitative data acquisition and analysis, as well as presentation skills.

Industry Partners

Your Career

Graduates of this program may find employment in the social, market or marketing research sectors as research analysts, data analysts, research co-ordinators and managers, research grant writers, and research field workers.

Program Availability

International students can now apply to this program at Humber’s new International Graduate School (IGS) .

Humber is a publicly-funded institution and does not have a public-private partnership. International students graduating from Humber or Humber’s International Graduate School (IGS) are eligible to apply for a Post-Graduation Work Permit .

International Students in Canada who apply for May 2024 start could be eligible for a $1,000 Scholarship*. Apply now

Please note the new International Admissions Process and Provincial Attestation Letters. Read the update

International Students Out of Canada can Apply through Humber International

Recruitment Events

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Program Delivery Types

Block-based: Students select a pre-set weekly schedule of courses that best meets their needs. Block-Based schedules may include in-person, hybrid and online courses.

Course-based: Students create their own schedule of courses from among in-person, hybrid and online options.

Condensed Week - Courses requiring students to come to campus are scheduled over 2-3 days per week. Online courses are scheduled on other days.

Online - Courses are scheduled only online and may be delivered asynchronously, where students study independently or synchronously, where students attend the online class on a specified time and day.

Twilight - In-person, online synchronous and hybrid courses are generally scheduled after 3:00pm.

Twilight-Online: Online synchronous courses are generally scheduled after 3:00 pm.

Student Success

Watch the video to see how Humber's Research Analyst program helped Lisa find the job she loves.

The RAP Network, the central hub for Humber’s Research Analyst Program (RAP). Tune into our channels!

Building The Foundation: Humber College Helps Students Find Their Way Into Post-Secondary Education

The need for pathway programs has been highlighted by the COVID-19 pandemic and its impact on workforce opportunities.

Top 10 Reasons to Choose a Humber College Pathways Program

Associate Dean of Pathways and graduate, Cameron Farrar, share their top 10 reasons to choose one of the Arts and Science Pathways programs.

No news at this time.

Every attempt is made to ensure that information contained on this website is current and accurate. Humber reserves the right to correct any error or omission, modify or cancel any course, program, fee, timetable or campus location at any time without prior notice or liability to users or any other Person.

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Admissions Questions

General enquiries.

Call 416-675-3111 or email [email protected] . If you have already applied, be sure to check your application status on myhumber.ca .

Domestic Applicants Enquiries

Domestic applicants can book a one-on-one advising appointment with an admissions representative.

International Applicants Enquiries

Contact the International Centre for information about full-time programs (including the International Graduate School), how to apply and to follow up on your submitted application.

Program-Specific Questions

Speak to the Program Co-ordinator about the course curriculum, projects and career options.

Mary Takacs, program co-ordinator 416.675.6622 ext. 73483 [email protected]

Campus Information

Book a campus tour to take a closer look at what it's like to be a student at Humber.

Want More Info?

Find out more about the student experience and everything that Humber has to offer Future Students .

Sign-up now for more info on Humber, including programs, special events and more!

How To Become An Apprentice

Becoming an apprentice.

Find an employer willing to sponsor you as an apprentice.

Contact the Ministry of Labour, Immigration, Training and Skills Development to register as an apprentice.

Work with your employer approximately one year before attending Humber.

View Instructions  

Ontario Youth Apprenticeship Program (OYAP)

If you’re in high school – grade 11 or 12 – you can earn co-op education credits through work placements in some skilled trades.

Visit OYAP  

How to Apply

Domestic students.

Applications to Humber are made through ontariocolleges.ca . Be sure to submit your application by the equal consideration deadline of February 1. You may apply after February 1, however, post-February 1 applications will be considered on a first-come, first-served basis depending on the availability of the space in the program.

To check program availability refer to the Campus/Availability listing on Humber’s program pages, search by availability , or ontariocolleges.ca .

To see where you are in the admissions process, visit the Admissions Road Map .

International Students

If you’re an international student, you can apply directly to Humber via our International Centre .

Need Advice?

Program advising appointments.

Get help narrowing down your program options or book a one-on-one pre-enrolment advising appointment with one of our Recruitment Officers.

Transfer & Pathway Advising

Book a virtual appointment with a Student Mobility Advisor learn more about getting Transfer Credit(s) for previous post-secondary experience, Prior Learning Assessment and Recognition (PLAR), and Pathways options.

Admission Requirements

Admission selection is based on the academic criteria indicated. Meeting minimum eligibility requirements does not guarantee admission.

Admission selection is based on the following three requirements:

To be eligible for admission, you must possess the following:

• A bachelor’s degree

Mature Applicants

Diplomas and certificates.

An applicant is considered a mature applicant if they have not completed secondary school or other postsecondary school, and will be 19 or older as of the first day of classes. Humber will invite you for testing to demonstrate that you meet all listed course requirements.

An applicant is considered a mature applicant if they have not completed secondary school or attended postsecondary studies, and will be 21 or older as of the first day of classes. Mature applicants for degree programs will be required to meet course requirements at the U/M level or equivalent.

College Transfer Applicants

An applicant is considered a college transfer applicant if they have completed some or all of a college-level credential. Humber may use a combination of secondary school and/or college courses and grades to determine program eligibility.

An applicant is considered a college transfer applicant if they have completed some or all of a college-level credential. Humber may use a combination of secondary school and/or college courses and grades to determine program eligibility. Applicants must have an overall minimum grade point average (GPA) of 65 per cent in the program. Applicants are required to disclose and provide academic transcripts for all course work completed at the postsecondary level.

University Transfer Applicants

An applicant is considered a university transfer applicant if they have completed some or all of a university-level credential. Humber may use a combination of secondary school and/or university courses and grades to determine program eligibility.

An applicant is considered a university transfer applicant if they have completed some or all of a university-level credential. Humber may use a combination of secondary school and/or university courses and grades to determine program eligibility. Applicants are required to disclose and provide academic transcripts for all course work completed at the postsecondary level.

English Language Proficiency

All applicants whose first language is not English must meet Humber’s English Language Proficiency Policy .

International Credit Evaluation

Canadian citizens or permanent residents with international education are required to provide a credential evaluation. Note, for international High school education course by course evaluations, ICAS must be used. For international post-secondary education, a WES evaluation must be provided. In situations where you expect to apply for transfer credit, it is recommended that a course by course WES evaluation is completed.

International Academic Equivalency

Admission equivalencies for Humber depend on your country of study. Please enter your location or choose detect my location to see the requirements for your country below.

Applying with an International Baccalaureate (IB)

Post-Admission Requirements

Once you have been accepted, and have confirmed your offer, you may need to complete a further set of requirements related to your program (Post-Admission Requirements).

Equipment & Device Requirements

Semester 1, 2

Fees & Financial Aid

The 2024/2025 fee for three semesters is:

• domestic: $5,832.58
• international: $19,169.12

Fees are subject to change.

Fees by Semester

Domestic Fees by Semester

International fees by semester.

*Plus Mandatory Health Insurance fee once per academic year: Fall start - $420 Winter start - $280 Summer start - $140

Financial Aid, Scholarships and Bursaries

Understand the costs associated with coming to Humber and explore resources available from first year to your final year on Student Fees and Financial Resources .

Humber Scholarships

Find out more about scholarships and bursaries that you may be eligible for, visit Student Scholarships . International students can visit International Student Scholarships .

Humber Bursaries

Bursaries are available for Certificate, Diploma and Degree programs primarily based on financial need, visit Humber Bursaries.

External Awards, Bursaries & Scholarships

Find out more information about external scholarships and bursaries, visit External Awards.

Indigenous Student Awards, Bursaries & Scholarships

Humber offers a variety of bursaries and scholarships for Indigenous students, visit Indigenous Student Awards.

Explore Opportunities through Humber Pathways

Humber Pathways include:

• Opportunities to build on your college education and complete your diploma or degree at Humber.
• Degree and graduate study opportunities at other institutions in Ontario, Canada and abroad.

Additional information will be made available to students from their program before the beginning of the Winter term. Courses with in-person requirements will likely also have online components. The delivery mode of some courses is still being determined. Humber may need to change plans for in-person learning, subject to government and public health directives and/or additional health and safety considerations.

You can find a complete list of programs with downloads including program and course details at Current Student Resources  

Students in programs marked as online/in-person will have a combination of those two types of delivery. Additional information will be made available to students from their program in the first week of June. Courses with in-person requirements will likely also have online components. The delivery mode of some courses is still being determined. Humber may need to change plans for in-person learning, subject to government and public health directives and/or additional health and safety considerations.

Learning Outcomes:

Upon successful completion of the program, a graduate will:

Interpret primary and secondary data applying principles of currency, relevance, authority, accuracy and purpose.

Design and execute a marketing or social research project to provide recommendations and actionable insights.

Manage research projects with due consideration to budget, schedule, quality, scope, ethics, and data governance.

Prepare a variety of effective social and marketing research documents and deliverables using knowledge translation and mobilization practices.

Communicate results of research using effective and engaging written, oral, visual and multi-media modes, that are appropriate for diverse audience needs.

Respond to the evolving sensibilities/concepts of equity, diversity and cultural sensitivity in conducting research.

Mitigate risk by the detection of bias in research design and processes.

Collect data using varied robust, effective and appropriate quantitative and qualitative research methods.

Organize and analyze primary and secondary data using industry standard software tools.

Conduct research projects in accordance with legal, ethical and professional standards.

Develop a career ready profile through goal-setting, on-going professional learning and industry exposure.

Evaluate research evidence and findings for the identification of assumptions, soundness of logic and the veracity of claims.

Select and synthesize academic, trade, business, institutional, governmental, or non-governmental resources for appropriate research purposes.

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Initiatives and Committees

Plan your research, join a study, curated resources for research design and analysis.

This resource provides curated training content for a non-statistical audience: students, residents, fellows, early-stage investigators, or anyone wanting to learn more about research design and analysis . The current topics provide guidance on the fundamentals of study design and the site will expand to cover a broader range of common statistical topics.

How to N avigate

Each t opic is introduced into an o verview , with curated resources sectioned by modality: v ideos, w ebsites, r eadings, and other relevant c ourse s and s oftware if available. Within each section, resources are l oosely ordered by relevance and utility . Permanent links are provided where possible , however , we also equipped the w ebsite s section with a rchive links for alternative use if users experience inactive sites.  

• Designing and Refining a Research Question
• Specific Aims
• Confirmatory versus Exploratory Research
• Outcomes and Endpoints

Coming Soon

Future topics include clinical trial and observational designs ; understanding data through visualization and summary statistics ; methods for categorical analysis ; hypothesis testing theory and implementation ; and sample size and power calculations .

This resource is being developed and maintained by members of Biostatistics, Epidemiology, and Research Design (BERD) at the Columbia University Irving Institute for Clinical and Translational Research and is supported by the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant Number UL1TR001873. BERD does not take responsibility for any misuse or misinterpretation of the curated content. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.  

To suggest additional topics or resources, alert us of problems with links, or share suggestions for improvement, email [email protected] .

• Biostatistics Education [email protected]

More From Forbes

5 free online data analysis courses in 2024.

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Data analysis is one of the most in-demand skills of 2024, and this trend is predicted to remain ... [+] until at least 2032

For the next four years, big data analytics is expected to be one of the core drivers of economic growth, according to projections by the World Economic Forum's Future Of Jobs report 2023. Analytical thinking leads the way in being the number one skill on the rise, increasing in demand this year, as per the findings of the same report, while data analysis appears sixth in LinkedIn top 10 Most In-Demand Skills of 2024 report .

Organizations have many priorities which make data analytics a worthwhile skill to learn, with AI (artificial intelligence), big data, and a strong focus on data-driven decision-making and business strategy being a few of them.

This is further evidenced by the fact that the job demand for data scientists is predicted to continue soaring until 2032 at least, to as much as 35%, according to the U.S. Bureau of Labor Statistics—that's much faster than the average job growth rate in North America.

Thanks to the demand, data analysis careers pay exceptionally well, leading to six figure incomes, with data scientists making as much as over $119,000 per year on average , as evidenced by current average salary figures on Salary.com

Best High-Yield Savings Accounts Of 2024

Best 5% interest savings accounts of 2024, why work in data analysis.

As if all of the above are not enough, here are two more excellent reasons to pursue data analytics as a career:

First, data analysis is a highly transferable skill, and is a function that is needed in every industry globally, similar to careers such as project management, which also shares the same characteristic of global demand and transferability across industries. You could work in a wide range of sectors, from healthcare, to finance, to e-commerce, to marketing, and of course, technology.

Second, now is a great time to learn data analysis, because of the acceleration and advancement of AI (artificial intelligence), which provides a helpful boost in augmenting your work and ensuring accuracy. Your work within data can come at a critical time when an organization is seeking to prepare its data for use in its internal AI tools and processes.

Free Online Courses On Data Analytics

Whether you're seeking to reskill or upskill, you may not have much spare cash to invest in a course or to pursue a degree within this field. However, there may be some free courses that can help:

1. MIT's How To Process, Analyze And Visualize Data

OpenCourseWare is a an online platform that hosts courses from many of the world's leading universities, including Ivy League schools, for free, using a Creative Commons Licence. One such course, from the world-renowned MIT (Massachusetts Institute of Technology) has lectures and course materials on How To Process, Analyze, And Visualize Data.

Honing in on an in-demand skill leads to a lucrative salary and diverse career opportunities

2. Google Advanced Data Analytics Professional Certificate

This free online course, provided through Coursera, comes with an extra advantage—a professional certificate. Google career certificates are widely recognized by employers around the world, and undertaking one is an excellent way to fast-track your career development and be invited to job interviews. The advanced version teaches Python, machine learning, Jupyter Notebook, and Tableau software, amongst other skills, all of which you can add to your resume's skills section, thus improving your chances of being hired.

3. Google Data Analytics Professional Certificate

This course is aimed at guiding you through data analysis at the beginner level, and is a great introduction and starting point for further studies, such as the advanced course mentioned above. As with all Google Career certificates offered via Coursera, you have the option to apply for financial aid to cover the cost of your course, subject to eligibility.

4. HarvardX's Data Science Professional Certificate

Harvard University has partnered with edX to provide free courses to learners on the edX platform. Although you need to pay for the entire training with the certificate, if you click into each module (course) within the certificate program on edX, it does provide you with the option to learn the course materials for free. To get the certificate, you would need to upgrade.

5. AWS Data Analytics

Amazon Web Services (AWS) provides a range of online certifications and ongoing professional development training, tailored to specific technical career paths. Once of these learning paths is their data analytics training . They provide this through free virtual training webinars, and individual courses that you can study on their own or as part of their data analytics learning plan, such as Data Analytics Fundamentals, or Best Practices for Data Warehousing.

You can learn from the best Ivy League schools—without ever attending Ivy League in person or paying ... [+] enormous student fees

Overall, choosing to pursue a career in data analysis is a decision you will not regret. If you commit to ongoing professional development and exploring new training opportunities, you too, can experience the lucrative salaries, remote work opportunities, flexibility, and diverse opportunities that others within this profession are already enjoying.

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Operations Research and Analytics

Operations research and analytics program area.

This program area covers advanced methods for describing, predicting, and optimizing decision-making to improve system performance. Discover how to leverage techniques at the intersection of math, statistics, and computation to build data-driven models fundamental to decision-making in many contexts. Apply mathematical and algorithmic techniques and principles to improve decision-making in a wide range of industries.

Key Topics: Algorithm Design, Computational Modeling, Decision Analysis, Optimization, Queueing Theory, Simulation, Stochastic Systems.

Area Lead: Jon Lee

Foundation Courses

 IOE 510 Linear Programming

Advisory prerequisites: Math 217, Math 417, or Math 419. (3 credits)

Formulation of problems from the private and public sectors using the mathematical model of linear programming. Development of the simplex algorithm; duality theory and economic interpretations. Post optimality (sensitivity) analysis application and interpretations. Introduction to transportation and assignment problems; special purpose algorithms and advanced computational techniques. Students have opportunities to formulate and solve models developed from more complex case studies and to use various computer programs.

  IOE 515 Stochastic Processes

Advisory prerequisites: IOE 316 or Stats 310. (3 credits)

Introduction to non-measure theoretic stochastic processes. Poisson processes, renewal processes, and discrete-time Markov chains. Applications in queueing systems, reliability, and inventory control.

IOE 591 Introduction to Data Analytics

Advisory prerequisites: Math 214 or IOE 366. (3 credits)

This course is an introductory graduate course on data analytics. The course introduces fundamental theories and methods for regression analysis and applications. Topics include multiple regression models, generalized linear models, and nonparametric regression models. Concepts of estimation, inference, diagnostics, transformation, regularization, variable selection, and cross-validation are studied. Students have opportunities to formulate statistical models developed from case studies and to use various computer programs.

IOE 500 IOE Master’s Seminar

Advisory prerequisites: IOE master’s student or permission of instructor. (1 credit)

Seminars presented by academic speakers and industry leaders to describe contemporary applications of industrial and operations engineering models and techniques to master’s students in IOE. The focus is on applications but research challenges are addressed as needed. Many speakers also address potential career opportunities for MS students in IOE.

Suggested courses to learn more about the operations research and analytics program area

Optimization

IOE 410 Advanced Optimization and Computational Methods

IOE 511 Continuous Optimization Methods

IOE 512 Dynamic Programming

IOE 614 Integer Programming

IOE 611 Nonlinear Programming

IOE 612 Network Flows

IOE 618 Stochastic Optimization

Stochastic systems

IOE 516 Stochastic Processes II

IOE 545 Stochastic Networks and Operations

IOE 574 Simulation

Data analytics

IOE 465 Design of Experiments

IOE 466 Statistical Quality Control

IOE 473 Advanced Data Analytics

IOE 561 Risk Analysis I

IOE 568 Statistical Learning & Applications in Quality Engineering

IOE 565 Time Series Modeling, Analysis, Forecasting

IOE 691 Bayesian Optimization

Applications-oriented classes

IOE 413 Optimization Modeling in Healthcare

IOE 513 Healthcare Operations Research: Theory and Applications

IOE 517 Game Theory and Operations Applications

IOE 541 Optimization Methods in Supply Chain

IOE 543 Scheduling

IOE552 Financial Engineering I

IOE553 Financial Engineering II

IndiaBioscience

2 nd annual online certificate course in flow cytometry, official website →, event details.

Flow Cytometry is one of the most powerful single cell analysis tool used in biological research and clinical diagnostics. Using this state-of-the art technology, we can study and quantify various parameters of the cells or cell like particles in heterogeneous samples. This 1‑month online course will cover the fundamentals and provide a deeper understanding of the important concepts of flow cytometry. Through lectures and practical activities, participants will learn the core concepts in experimental designing, data acquisition, data analysis &  presentation and troubleshooting. We will cover the theory combining with the practical sessions of the most frequent assays as part of our course curriculum. This in-depth 1‑month course will enhance your flow cytometry knowledge and skills preparing you for any current or future flow cytometry jobs and projects.

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• Schedule of Classes - April 15, 2024 7:36PM EDT
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NBA 5220 Equity Investment Research and Analysis

Course description.

Course information provided by the Courses of Study 2023-2024 . Courses of Study 2024-2025 is scheduled to publish mid-June.

This course is an introduction to the theory and practice of equity research and is similar to that provided to aspiring analysts, as apprentices, in buy-side investment firms. The course provides a comprehensive framework for analyzing equity securities and developing formal target prices and BUY/SELL/HOLD recommendations. Each student defines an industry to study and prepares an "industry review." Each student analyzes in detail one stock in the industry and prepares a stock report. A live portfolio is invested in late March with student picks. Topics include the research process, analysis strategies, valuation techniques and portfolio construction methods. Templates, examples and detailed feedback on draft reports are provided. Students should be prepared to conduct rigorous, creative research based upon their own work and insights.

When Offered Spring.

Permission Note Enrollment limited to: non-Johnson School students.

Comments Video summarizing course can be viewed here.

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  Regular Academic Session.   Combined with: NBA 4120

Credits and Grading Basis

3 Credits Graded (Letter grades only)

Class Number & Section Details

19905 NBA 5220   LEC 001

Meeting Pattern

• TR 11:40am - 12:55pm
• Aug 27 - Dec 5, 2024

Instructors

To be determined. There are currently no textbooks/materials listed, or no textbooks/materials required, for this section. Additional information may be found on the syllabus provided by your professor.

For the most current information about textbooks, including the timing and options for purchase, see the Cornell Store .

Additional Information

Instruction Mode: In Person

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About the class roster.

The schedule of classes is maintained by the Office of the University Registrar . Current and future academic terms are updated daily . Additional detail on Cornell University's diverse academic programs and resources can be found in the Courses of Study . Visit The Cornell Store for textbook information .

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6 Common Leadership Styles — and How to Decide Which to Use When

• Rebecca Knight

Being a great leader means recognizing that different circumstances call for different approaches.

Research suggests that the most effective leaders adapt their style to different circumstances — be it a change in setting, a shift in organizational dynamics, or a turn in the business cycle. But what if you feel like you’re not equipped to take on a new and different leadership style — let alone more than one? In this article, the author outlines the six leadership styles Daniel Goleman first introduced in his 2000 HBR article, “Leadership That Gets Results,” and explains when to use each one. The good news is that personality is not destiny. Even if you’re naturally introverted or you tend to be driven by data and analysis rather than emotion, you can still learn how to adapt different leadership styles to organize, motivate, and direct your team.

Much has been written about common leadership styles and how to identify the right style for you, whether it’s transactional or transformational, bureaucratic or laissez-faire. But according to Daniel Goleman, a psychologist best known for his work on emotional intelligence, “Being a great leader means recognizing that different circumstances may call for different approaches.”

• RK Rebecca Knight is a journalist who writes about all things related to the changing nature of careers and the workplace. Her essays and reported stories have been featured in The Boston Globe, Business Insider, The New York Times, BBC, and The Christian Science Monitor. She was shortlisted as a Reuters Institute Fellow at Oxford University in 2023. Earlier in her career, she spent a decade as an editor and reporter at the Financial Times in New York, London, and Boston.

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