You might want to start with online courses/tutorials focused on basic data science and data visualization in Python. If you learn general Python tools like Pandas, Numpy, Pyplot/Seaborn, and any specialized packages/tools for genome data, you should be able to visualize and interact with your datasets in a more fluid way. Using a notebook/Jupyter environment can really help with making your work interactive.
There are general Python Data Viz courses with free content[0], and I've been building machine learning courses (slightly different topic) with a platform called co:rise, who also offer basic Python Data Science courses[1]. You can find plenty of tutorial blogs via searching, or look at specialized mini-courses on Udemy[2]
[0] https://www.edx.org/course/data-science-visualization
[2] https://www.udemy.com/course/python-for-machine-learning-dat...