At Malter Analytics, we offer hands-on, beginner-friendly courses that teach you how to use Python for real-world data science, machine learning, and artificial intelligence projects. Whether you're a student, career changer, or working professional, our curriculum is designed to help you build technical skills through guided projects, curated datasets, and simplified explanations.


What You’ll Learn:

  • Python programming fundamentals — variables, data types, control flow, functions, and more
  • Data analysis and visualization with Pandas, NumPy, and Matplotlib
  • How to build and evaluate machine learning models using scikit-learn
  • Real-world workflows: from cleaning messy datasets to making predictions and presenting insights


Why Choose Malter Analytics:

  • Learn by doing — Every lesson is interactive and project-based, not just theoretical
  • No fluff, just skills — Designed for learners who want practical outcomes, not just certificates
  • AI-focused from day one — Build machine learning models early and often
  • Downloadable notebooks & datasets — Own your learning materials for future reference


If you're looking to confidently break into tech, data science, or AI without the confusion of traditional courses, Malter Analytics gives you the roadmap and tools to succeed.



"This was a great self-paced course to go along with learning AI. I was able to grasp the fundamental concepts of Python and apply that to larger projects."



- Joseph D.

Hi, I’m Danny Malter


Danny is the Vice President of Data Science & Machine Learning at Intellicheck, a leading identity verification company. He has a robust background in data science leadership, having previously worked with Accenture’s AI practice and led data science teams at companies like MolsonCoors and Hyatt Hotels.

With over eight years of teaching experience, Danny has guided students through data science, coding and AI bootcamps and advanced certificate programs with prestigious institutions including Northwestern University’s Kellogg School of Management, MIT, and Columbia University. His courses have drawn a diverse range of participants, from early-career professionals to Fortune 500 executives.

Danny holds a B.S. from the University of Dayton and an M.S. in Predictive Analytics from DePaul University. In his free time, he enjoys biking, playing sports, and working on machine learning projects with a focus on baseball analytics.