Career Accelerator Studio
in Data Analytics

Want to Learn Data Analytics?
Need Training in Python & Statistics?
Get University-Certified Online

Kick Start Your Career as a Data Analyst


We live in an era of digital convergence, when the most successful leaders are the most innovative at integrating their organizations’ physical, human, and digital resources. Bringing all of that together is Northeastern’s experience-powered approach to education. The Career Accelerator Studio in Data Analytics is:


  • Real-World Ready: Get the key skills to develop a career as a data analyst, database manager or platform administrator.
  • Online & Experiential: Rich on-demand content combined with top-quality teaching plus access to Northeastern’s extensive learning resources.
  • On Your Schedule: Complete program in up to 26 weeks at your own pace.
  • Project-Based: Practice applying in your own work what you learn in the program – and receive feedback and support from faculty and peers.
  • Career-Focused: Includes access to MentorWorks’ platform for job search preparation, career support, and employment opportunities.


  • Earn Relevant Micro-Credentials:
  • Tableau Customer Relationship Management (CRM) and Einstein Discovery Insights Specialist
  • 10+ Salesforce Admin trailhead badges
  • 2 Salesforce analytics-focused Super Badges
  • 100% Online & On-Demand
  • Course delivery is fully remote and online; engage in as few as 10-12 hours per week and take up to 26 weeks to finish



  • Options for industry-recognized certification (AWS, Salesforce, and Tableau)
  • Acquire the skills employers want and become job ready with in-demand credentials
  • Full access to Northeastern University’s extensive resource catalog and library
  • Career coaching, corporate networking opportunities and job search resources via MentorWorks’ Talent Accelerator Platform (TAP)
  • Real world experience: Gain a competitive advantage by earning a Data Analytics certificate from Northeastern University and field-relevant work experience through a paid apprenticeship with MentorWorks (for qualified individuals). With this powerful combo, you’ll demonstrate to employers that you’re ready for a position in data analytics!



  • Expert-Crafted: Designed by one of the world’s top online learning teams – delivering an exceptional learning and networking environment
  • From a Top University: Northeastern University is Rated #1 in innovation and known for both experiential learning and for being plugged in to employer demand
  • Tailored Virtual Content: Optimized to give a high quality virtual learning experience with a mixture of visual and auditory resources utilized

Companies that Hire Our Students

What Students Are Saying

“The specialized knowledge that I have gained [sic], such as exploratory data analysis, prediction modeling, visualization with different types of datasets, and the assignments that were provided by lecturers, helped me to be, more confident and has improved my analytical, writing, and research skills.”

Smita Gupta
HRIT Analyst
MPS, Analytics, Northeastern University D-Amore-McKim School of Business

“Find your passion and find a way to make it marketable. Then acknowledge your barriers and figure out how to break them down.”

Fatimat Lukan
Data Analyst, Akamai Technologies
Graduate, Northeastern University Data Analytics Bootcamp

Northeastern University’s Data Analytics Curriculum, Cost & Schedule

The program consists of 26 modules (recommended pace: 1 module per week), split into 2 courses (101 & 201).

Each module has specific learning objectives and corresponding success criteria.

    • Course 101 has 10 modules
    • Course 201 has 16 modules


This course introduces the Python programming language, its syntax, programming principles, mathematical functionality and suitability for practical data analysis. Learners will be given the tools to design and implement basic Python programs for data analytics applications.

Indicative topics include:

  • Introduction to Programming and Python
  • Control Structures
  • Functions
  • Structures


This course introduces the foundational mathematical and statistical knowledge and tools required for programming and data analytics. Learners will be given the tools and terminology to solve basic mathematical and statistical problems.

Indicative topics include:

  • Python Packages for Mathematical Techniques in Data Science
  • Principles of Proof and Hypothesis Testing
  • Linear Algebra
  • Hypothesis Testing


This course explores how analytics and predictive modeling generate business and develop policies. It introduces learners to business concepts, terminology and strategic frameworks for analyzing the external and internal business environments and developing digital transformation strategies.

Indicative topics include:

  • Digital Transformation in Business
  • Business Modeling
  • Business Data Analysis
  • Ethics


This course introduces the subject of data analytics. Learners will be taught how raw data is collected, stored, cleansed and interrogated in order to contribute to the needs of organizations. Learners will apply Python packages commonly used for data analytics, encompassing basic graphical, numerical and statistical tools. Learners will be given the tools to understand the issues with data and datasets and how to overcome them to ensure robust analyses.

Indicative topics include:

  • The Data Science Lifecycle
  • Data cleansing and manipulation, modeling and visualization
  • Cloud Analytics


This course develops learners’ knowledge and skills of data analytics, using more advanced techniques and thinking. In particular, learners will develop skills in data analysis, artificial intelligence, machine learning and reporting.

Indicative topics include:

  • Predictive Modelling for Analysts
  • Advanced Cloud Computing
  • Data Visualization, Reporting and Dashboards


A hands-on, mini data analytics project applying the data science lifecycle. Learners will identify a business problem and manipulate, analyze, model and visualize data using industry-recognized tools, such as Python, SQL, Salesforce and/or Tableau. The project aims to simulate a real-life business.


SELF-PACED STUDY: 10-12 hours a week, minimum commitment within 26 weeks, with regular walk-in sessions and bookable, individual support sessions.



  • Program begins: August 1, 2022

The cost of this program is $17,000 which includes your non-refundable $500 enrollment fee payable upon acceptance of the admission offer.

Want to test your Python and Coding skills to see if this program could be a good fit for you?

Check out this free, self-guided introductions to Python: Python Basics and Establishing the Coding Mindset

HAVE QUESTIONS? Contact us:   EMAIL (   |   CALL or TEXT (857.371.2525) 

Or, connect via LIVE CHAT   |   Mon-Fri, 9am-5pm ET, excl. Federal Holidays

What We Do at MentorWorks & How We Help Students



Our mission is to open pathways to education and careers for students and candidates who may not have had the financial or social capital to do it on their own.



Which Students We Fund

  • College juniors & seniors and Master’s degree / post-graduate students
  • Trainees in boot-camp, professional or trade certificate programs
  • Aspiring career-changers & experienced professionals facing unemployment

How We Support Job Candidates

  • Talent Accelerator Platform (TAP) – comprehensive, personalized job search & career coaching program
  • MW Labs Experience – experiential learning opportunities to propose solutions to hiring employers
  • Employer Engagement – live virtual events with employers, mentoring sessions and practice interviews

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