An effective project manager in data science understands how to apply appropriate project management practices to data science projects.| Data Science PM
A Data Science Life Cycle describes the steps to deliver projects and products. This post walks through one you can use on your next project.| Data Science PM
How do you prioritize deliverables in a data science project? The best was to deliver value is by slicing your project into end-to-end value pieces.| Data Science PM
How can you effectively lead data science teams? The answer isn't straight-forward but these 8 tips can get you started.| Data Science PM
What is Agile and is it a fit for data science? Generally, yes but the agile methodologies need to flex to the data science's unique needs.| Data Science PM
[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.16″ global_colors_info=”{}”][et_pb_row admin_label=”row” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.27.2″ _module_preset...| Data Science Process Alliance
CRISP DM is the most popular framework for delivering data science projects. Learn 5 keys to leverage CRISP DM on your projects.| Data Science Process Alliance
Data science is a team sport. These eight key data science team roles can help ensure you can successfully deliver projects.| Data Science Process Alliance
The AI product owner is an emerging, in-demand role. Scrum and Data Driven Scrum teams use this role to define and drive product development.| Data Science PM
Companies are looking for AI Product Managers who manage business, technology, and data to develop, launch, and operate AI products.| Data Science PM