老澳门资料

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Professional and Lifelong Learning
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Data Science

In 老澳门资料’s 100% online, mentor-led bootcamps, you will learn on your own time, from the comfort of your home. Finish early by putting in more time per week, without being tied down by class schedules. You will receive a certificate of completion from the 老澳门资料 Professional and Lifelong Learning when you graduate.

You’ll also get 1:1 weekly support from mentors working in the field of data analytics and science, a student advisor who can keep you accountable, and access to career units that will cover how to conduct a thorough job search with access to 1:1 coaching.

Data Analytics Bootcamp

Our Data Analytics Bootcamp offers a robust curriculum that can put you in the driver’s seat of your data career. We ensure that you not only gain all of the technical and analytical skills needed to excel in the field but also develop the strategic mindset that will push companies to adopt your analysis and grow their business. You’ll learn key analytics and visualization tools like Excel, SQL, Python, Microsoft Power BI, and Tableau while also completing 20+ hands-on mini-projects.

Content Structure

  • 100% online classroom sessions
  • 6 months, 15–20 hours per week
  • Weekly 1:1 video calls
  • Unlimited mentor calls
  • Build your own study plans

Learning Outcomes

  • Framing Structured Thinking
  • Analyzing Business Problems
  • Communicating Your Analysis
  • Connecting Data Using SQL
  • Visualizing Data Using Python

Who Should Attend

  • Working professionals seeking to transition into a career in data analytics
  • Professionals who demonstrate an aptitude towards critical thinking and problem-solving and have two years of work experience

Data Science Bootcamp

At the 老澳门资料’s Data Science Bootcamp, you will work through technical units that will equip you with the skills needed to launch a successful career in data science. You’ll learn all aspects of the Data Science Method (DSM) through a curriculum built by subject matter experts then test your learning in a hands-on manner through case studies and two Capstone projects that you can showcase to potential employers. You won’t just learn — you’ll participate in solving real-world business problems.

Content Structure

  • 100% online classroom sessions
  • 6 months, 15–20 hours per week
  • Weekly 1:1 video calls
  • Unlimited mentor calls
  • Build your own study plans

Learning Outcomes

  • Python Data Stack
  • Data Wrangling
  • The Data Story
  • Statistical Inference
  • Machine Learning

Who Should Attend

  • Working professionals seeking to transition into a career in data science
  • Anyone with prior experience in statistics and programming
  • Software developers, analysts, and finance professionals