Day 84 β BI Career Development and Capstone
This lesson closes Phase 5 by converting the roadmap insights into a polished career narrative. Pair it with Day 83 β BI Cloud and Modern Data Stack and the planning prompts in this lesson.
Why it matters
A strong capstone bridges your project experience with employer expectations. Using the roadmap ensures that the assets you build speak the language of BI hiring managers and stakeholders.
Capstone workflow
- Frame the business objective β state the business question, success metrics, and stakeholder audience that will anchor your presentation.
- Design the solution storyline β outline the analytics flow, highlight how each roadmap title becomes a tangible artifact, and document the collaboration or research you will showcase.
- Deliver and rehearse β package the assets, rehearse the pitch, and prepare follow-up material such as interview responses or stakeholder FAQs.
Career assets checklist
Use these roadmap-aligned prompts to plan the artifacts that demonstrate your value.
- [ ] Building Your Portfolio β curate 2β3 projects that reflect the BI stack you want to be hired for and verify the links work end to end.
- [ ] Portfolio presentation β craft a live walkthrough or video demo that emphasizes the business outcomes, not just the dashboards.
- [ ] Open-Source Projects β contribute a small feature or documentation update to a BI tool and capture screenshots or pull requests.
- [ ] BI Competitions β summarize results, lessons learned, and ranking; link to notebooks or dashboards.
- [ ] BI Communities β list the meetups, Slack groups, or forums where you discuss trends and what you have learned.
- [ ] Conferences & Webinars β log the events you attend, the insights gained, and how they influence your projects.
- [ ] Networking β schedule outreach conversations with analysts or hiring managers and document the advice you receive.
- [ ] Professional Development β document the courses, workshops, or mentoring sessions that sharpened your BI skills.
- [ ] Certifications β track progress toward credentials, exam dates, and renewal plans.
Job readiness checklist
Focus your interview preparation with these roadmap tasks.
- [ ] Resume optimization β align bullets with BI metrics, tools, and quantified outcomes.
- [ ] Interview preparation β rehearse portfolio walkthroughs, stakeholder stories, and challenge questions that link to the capstone.
- [ ] Salary negotiation strategies β research compensation benchmarks, benefits, and cost-of-living adjustments.
- [ ] Job Preparation β outline your 30/60/90-day plan, onboarding priorities, and key relationships to build once you land the role.
Next steps
- Run
python Day_84_BI_Career_Development_and_Capstone/lesson.pyto print the capstone phases and generate checklist templates. - Export the JSON checklist to your project management tool and update it as you complete each roadmap milestone.
Additional Topic: Strategic Roadmapping & Next Steps
This lesson is part of the Phase 5 Business Intelligence specialization. Use the Phase 5 overview to see how the developer-roadmap topics align across Days 68β84.
Why it matters
Synthesize the specialization into ongoing strategic roadmaps.
Developer-roadmap alignment
- Professional Development
- Key Business Functions
- Types of BI Operations
- Metrics and KPIs
Next steps
- Draft case studies and notebooks that exercise these roadmap nodes.
- Update the Phase 5 cheat sheet with the insights you capture here.
Previous: Day 83 β Day 83 β BI Cloud and Modern Data Stack β’ Next: Day 85 β Day 85 β Advanced SQL and Performance Tuning
You are on lesson 84 of 108.
Additional Materials
lesson.py
# %%
"""Day 84 β BI Career Development and Capstone classroom script."""
# %%
from __future__ import annotations
from textwrap import indent
from Day_84_BI_Career_Development_and_Capstone import (
generate_checklists,
serialize_checklists,
)
# %%
CAPSTONE_PHASES: list[tuple[str, str]] = [
(
"Phase 1 β Frame the business objective",
(
"Summarize the business question, BI success metrics, and stakeholders. "
"Anchor your narrative in the developer-roadmap nodes you plan to demonstrate."
),
),
(
"Phase 2 β Design the solution storyline",
(
"Sketch a walkthrough that highlights your analytics workflow, decision checkpoints, "
"and how you will showcase portfolio artifacts such as dashboards or notebooks."
),
),
(
"Phase 3 β Deliverables and rehearsal",
(
"Map roadmap titles to concrete deliverables, rehearse the presentation, and prepare "
"supporting assets for interviews or stakeholder reviews."
),
),
]
# %%
CHECKLISTS = generate_checklists()
# %%
def outline_capstone(phases: list[tuple[str, str]] = CAPSTONE_PHASES) -> None:
"""Print the recommended capstone phases and guidance."""
print("\nDay 84 capstone planning guide\n")
for phase, description in phases:
print(f"{phase}\n{indent(description, ' ')}\n")
# %%
def display_checklists(checklists=CHECKLISTS) -> None:
"""Print actionable checklists for learners."""
print("Roadmap-aligned checklists\n")
for group, items in checklists.items():
print(f"## {group}")
for item in items:
print(f"- [ ] {item.title}")
print()
# %%
def main() -> None:
"""Guide the learner through the Day 84 facilitation."""
outline_capstone()
display_checklists()
print("Serialized checklist template (copy into your notes tool):\n")
print(serialize_checklists(CHECKLISTS))
# %%
if __name__ == "__main__":
main()
solutions.py
"""Utilities for Day 84 β BI Career Development and Capstone."""
from __future__ import annotations
import json
from dataclasses import dataclass
from pathlib import Path
from typing import Iterable, Mapping, MutableMapping
from mypackage.bi_curriculum import BiTopic, group_topics_by_titles
CAREER_ASSET_TITLES: list[str] = [
"Building Your Portfolio",
"Portfolio presentation",
"Open-Source Projects",
"BI Competitions",
"BI Communities",
"Conferences & Webinars",
"Networking",
"Professional Development",
"Certifications",
]
JOB_READINESS_TITLES: list[str] = [
"Resume optimization",
"Interview preparation",
"Salary negotiation strategies",
"Job Preparation",
]
ROADMAP_GROUPS: Mapping[str, list[str]] = {
"Career assets": CAREER_ASSET_TITLES,
"Job readiness": JOB_READINESS_TITLES,
}
@dataclass(slots=True)
class ChecklistItem:
"""A simple representation of a learner checklist item."""
title: str
status: str = "Not started"
notes: str = ""
def to_dict(self) -> dict[str, str]:
"""Return a serializable representation of the checklist item."""
return {"title": self.title, "status": self.status, "notes": self.notes}
def load_career_topics(
*, groups: Mapping[str, Iterable[str]] = ROADMAP_GROUPS
) -> dict[str, list[BiTopic]]:
"""Return the roadmap topics grouped for the capstone."""
return group_topics_by_titles(groups)
def _build_checklist(topics: Iterable[BiTopic]) -> list[ChecklistItem]:
"""Create checklist items from BI topics."""
return [ChecklistItem(title=topic.title) for topic in topics]
def generate_checklists(
*, groups: Mapping[str, Iterable[str]] = ROADMAP_GROUPS
) -> dict[str, list[ChecklistItem]]:
"""Return checklist templates for career assets and job readiness."""
grouped_topics = load_career_topics(groups=groups)
return {group: _build_checklist(topics) for group, topics in grouped_topics.items()}
def _checklists_to_serializable(
checklists: Mapping[str, Iterable[ChecklistItem]],
) -> dict[str, list[dict[str, str]]]:
"""Convert checklist dataclasses into JSON serializable dictionaries."""
payload: MutableMapping[str, list[dict[str, str]]] = {}
for group, items in checklists.items():
payload[group] = [item.to_dict() for item in items]
return dict(payload)
def serialize_checklists(
checklists: Mapping[str, Iterable[ChecklistItem]] | None = None,
*,
groups: Mapping[str, Iterable[str]] = ROADMAP_GROUPS,
path: str | Path | None = None,
indent: int = 2,
) -> str:
"""Return JSON for the grouped checklists and optionally persist it."""
resolved = (
checklists if checklists is not None else generate_checklists(groups=groups)
)
serializable = _checklists_to_serializable(resolved)
json_text = json.dumps(serializable, indent=indent)
if path is not None:
destination = Path(path)
destination.write_text(json_text, encoding="utf-8")
return json_text
__all__ = [
"CAREER_ASSET_TITLES",
"JOB_READINESS_TITLES",
"ChecklistItem",
"generate_checklists",
"load_career_topics",
"serialize_checklists",
]