Intermediate Data Science Course

Daily standup meetings are conducted to kick off the day, Learners share progress since last session, discuss roadblocks, and brainstorm solutions, fostering support and goal clarity. Facilitated by program managers, these meetings ensure everyone shares updates, mirroring industry practices.

As part of the group session, a learner will tackle a coding problem, sharing their thought process to the group, inviting discussion and alternative solutions.

Students collaborate in small groups on unique timed coding challenges. Results are shared and then to reinforce their grasp of terminology and potential interview questions, a quick ‘Skills Check’ quiz is presented.

Weekly sessions explore industry-relevant technical subjects that are not typically addressed in projects, in preparation for technical interviews. Activities range from individual presentations to  group work completing “new technology canvas” worksheets followed by brief presentations.

A case study is selected in advance that aligns with the program’s curriculum, learning objectives, and student expertise levels, ensuring a variety of topics. Following this, we engage in reading, analyzing, and discussing business challenges and data privacy issues, etc. fostering collaboration and diverse viewpoints.

Our virtual library offers private breakout rooms for one-on-one conversations or focused group discussions. Whether working independently or in groups, respectful communication and active listening are prioritized.

A collaborative workspace where two learners work together on the same project. Partners can readily share ideas, solve problems, and learn from each other’s coding skills.