Professional Certificate in Data Science and Analytics

• Data professionals in engineering, finance, insurance, IT, or operations with coding experience who wish to develop a suite of advanced data analysis skills they can apply in their day-to-day work to make sound business decisions

• Professionals working in data science-adjacent fields looking to build on their existing skill set to effectively lead or manage teams

• Business professionals in sales, marketing, IT, or operations looking to sharpen their decision-making ability by learning to model, execute, and analyze business data and, in turn, use their data science expertise to advance their careers

• Recent graduates with a STEM background who wish to build knowledge and skills in data science to prepare for a role as an analyst and start down a career path in the field

Prerequisites: Familiarity with Excel datasets, data visualization, and basic knowledge of Python coding are recommended.

• Leverage data in order to optimize strategies and improve decision-making in your organization

• Explore how to apply AI and ML techniques to help organize and analyze data to maximize performance in an organization

• Learn to apply Python and Google Colab to train, organize, run, and analyze datasets and models that yield meaningful results

• Analyze and translate technical results into actionable insights for executives

• Develop a portfolio of modeling tools that showcases hands-on application of the skills required to use data for prediction, classification, and optimization in practical business contexts

MIT xPRO’s online learning programs leverage MIT's leadership in innovation, science, engineering, and technical disciplines with vetted content from world-renowned experts to make learning accessible anytime, anywhere. Designed using pioneering research in the neuroscience of learning, MIT xPRO programs are application focused, helping professionals to develop the hard and soft skills that are most in demand.

MIT xPRO has blended cutting-edge content with the best of online technology and instructional design to enable better learning outcomes while promoting engagement and collaboration to help professionals build their skills on the job. To explore the full catalog of MIT xPRO courses and programs, visit xpro.mit.edu.

Both hard and soft skills are needed to succeed as a data analytics professional. This program offers you guidance for navigating your career path, from crafting your elevator pitch to perfecting your interview skills. These services are provided by Emeritus, our learning collaborator for this program. The program support team includes program leaders who help you reach your learning goals. The primary goal is to give you the skills necessary to be prepared for a job in this field; however, job placement is not guaranteed.

Career guidance with this program includes:

• Navigating your job search

• Preparing for interviews

• Negotiating salary

• Crafting your elevator pitch

• Optimizing your LinkedIn profile

• Writing resumes and cover letters

Exercises specific to building your data science career include:

• Building your personal brand and promoting your skills

• Understanding the roles and workflow of data science

• Job searching and interviewing for positions in data science

• Communicating data science concepts through a capstone project

• Reflecting on your skills to determine how to solve problems and become an efficient leader

Highlight your learnings in a final capstone project by building a portfolio of application-based assignments you have completed throughout the program. Your portfolio will demonstrate your proficiency in a range of data science skills required for model optimization and strategic decision thinking in organizational contexts.

Climb Credit*

We offer financing options with our partner, Climb Credit*. Click here to learn more. *Applicable for US Residents

Sallie Mae*

Fixed repayment, interest-only repayment, and deferred payment options are available. Click here to know more. *At the time of loan application, please select ‘Undergraduate students’ when prompted.

Flexible Payment Options For All

Flexible payment options allow you to pay the program fee in installments. Click here to see payment schedule.

You can opt for any one of the financing options to cover up to the full cost of the program tuition. If you are considering financing your program through one of our partners, the enrollment process can only be completed with the assistance of your program advisor.

Please note that loan applications should be submitted no later than four business days prior to the enrollment deadline due to processing time.

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 640 4846 (US) / +44 141 673 6416 (UK) / +65 3138 2327 (SG)