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from __future__ import annotations
from pathlib import Path
from urllib.parse import quote_plus
from jinja2 import Environment, FileSystemLoader, select_autoescape
_TEMPLATES = Environment(
loader=FileSystemLoader(Path(__file__).resolve().parent / "templates"),
autoescape=select_autoescape(("html", "xml")),
)
def _search(title: str) -> str:
return f"/search?q={quote_plus(title)}"
def _card(
title: str,
provider: str,
image: str,
*,
href: str | None = None,
rating: str = "",
reviews: str = "",
meta: str = "",
credential: bool = False,
credential_label: str = "Build toward a degree",
provider_logo: str = "",
skills: str = "",
badges: tuple[str, ...] = ("Free Trial",),
) -> dict[str, object]:
return {
"title": title,
"provider": provider,
"image": image if image.startswith("/") else f"/static/data-science/{image}",
"href": href or _search(title),
"rating": rating,
"reviews": reviews,
"meta": meta,
"credential": credential,
"credential_label": credential_label,
"provider_logo": provider_logo,
"skills": skills,
"badges": badges,
}
POPULAR = (
_card(
"Google Data Analytics",
"Google",
"google-data-analytics.png",
href="/professional-certificates/google-data-analytics",
rating="4.8",
reviews="182K reviews",
meta="Beginner · Professional Certificate · 6 months",
credential=True,
badges=(),
),
_card(
"Foundations: Data, Data, Everywhere",
"Google",
"foundations-data.png",
rating="4.8",
reviews="123K reviews",
meta="Beginner · Course",
badges=(),
),
_card(
"IBM Generative AI Engineering",
"IBM",
"ibm-generative-ai.png",
href="/professional-certificates/ai-engineer",
rating="4.7",
reviews="101K reviews",
meta="Beginner · Professional Certificate · 6 months",
badges=(),
),
_card(
"IBM Data Science",
"IBM",
"ibm-data-science.png",
href="/professional-certificates/ibm-data-science",
rating="4.6",
reviews="151K reviews",
meta="Beginner · Professional Certificate · 5 months",
credential=True,
badges=(),
),
)
TRENDING = (
_card(
"Introduction to AI",
"Google",
"/static/browse/lower/trending-introduction-ai.jpg",
href="/learn/google-introduction-to-ai",
rating="4.8",
reviews="13K reviews",
meta="Beginner · Course · 1 hour",
provider_logo="/static/browse/lower/logo-google.png",
),
_card(
"Generative AI for Business Consultants",
"Fractal Analytics",
"trending-business-consultants.png",
href="/specializations/generative-ai-for-business-consultants",
rating="4.7",
reviews="427 reviews",
meta="Beginner · Specialization",
provider_logo="/static/data-science/logo-fractal.png",
),
_card(
"Discover the Art of Prompting",
"Google",
"trending-discover-prompting.png",
href="/learn/google-discover-the-art-of-prompting",
rating="4.8",
reviews="2.5K reviews",
meta="Beginner · Course · 1 hour",
provider_logo="/static/browse/lower/logo-google.png",
),
_card(
"Generative AI Fundamentals",
"IBM",
"trending-generative-ai-fundamentals.png",
href="/specializations/generative-ai-for-everyone",
rating="4.7",
reviews="13K reviews",
meta="Beginner · Specialization · 1 month",
provider_logo="/static/browse/lower/logo-ibm.png",
),
)
CORE_SKILLS = (
"Generative AI",
"Machine Learning",
"Artificial Intelligence",
"Applied Machine Learning",
"Data Ethics",
"Data Processing",
)
DEEP_LEARNING = (
_card(
"Deep Learning",
"DeepLearning.AI",
"/static/browse/deep-learning.png",
href="/specializations/deep-learning",
rating="4.8",
reviews="147K reviews",
meta="Intermediate · Specialization",
credential=True,
),
_card(
"Neural Networks and Deep Learning",
"DeepLearning.AI",
"/static/deep-learning/course-neural-networks.png",
href="/learn/neural-networks-deep-learning",
rating="4.9",
reviews="124K reviews",
meta="Intermediate · Course · At the rate of 5 hours a week, it takes roughly 5 weeks…",
),
_card(
"Convolutional Neural Networks",
"DeepLearning.AI",
"/static/deep-learning/course-convolutional.png",
href="/learn/convolutional-neural-networks",
rating="4.9",
reviews="43K reviews",
meta="Intermediate · Course · At the rate of 5 hours a week, it typically takes 5 week…",
),
_card(
"Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization",
"DeepLearning.AI",
"/static/deep-learning/course-improving-networks.png",
href="/learn/deep-neural-network",
rating="4.9",
reviews="64K reviews",
meta="Intermediate · Course · At the rate of 5 hours a week, it typically takes 5 week…",
),
)
CORE_COLLECTIONS = (
(
"Google Analytics for Data Insights",
(
_card("Google Analytics Insights", "Coursera", "google-analytics-insights.png", meta="Beginner · Course", badges=()),
_card("Google Analytics: Data-Driven Marketing Mastery with AI", "Coursera", "google-analytics-marketing-ai.png", meta="Beginner · Specialization", badges=()),
_card("Google Analytics Hacks: Boost Your Marketing Performance", "Board Infinity", "google-analytics-hacks.png", meta="Beginner · Course · 2 weeks of study, 3–5 hours/week", badges=()),
_card("Google Analytics for SEO Queries", "Coursera", "google-analytics-seo.png", meta="Beginner · Course · 80 minutes", badges=()),
),
),
(
"AI Basics for Everyone",
(
_card("AI for Executives: The Basics", "Khalifa University", "ai-executives.png", meta="Beginner · Course", badges=()),
_card("AI Foundations for Everyone", "IBM", "ai-foundations-everyone.png", rating="4.7", reviews="36K reviews", meta="Beginner · Specialization", badges=()),
_card("GenAI for Everyone", "Fractal Analytics", "genai-everyone.png", rating="4.4", reviews="474 reviews", meta="Beginner · Course · 2 hours", badges=()),
_card("AI Literacy for Everyone", "University of Michigan", "ai-literacy-everyone.png", rating="4.7", reviews="566 reviews", meta="Beginner · Specialization", badges=()),
),
),
(
"IBM Data Science Essentials",
(
_card("Data Science Fundamentals with Python and SQL", "IBM", "data-science-python-sql.png", rating="4.6", reviews="75K reviews", meta="Beginner · Specialization", credential=True, badges=()),
_card("Introduction to Data Science", "IBM", "introduction-data-science.png", rating="4.6", reviews="102K reviews", meta="Beginner · Specialization", credential=True, badges=()),
_card("Data Science Foundations", "Multiple educators", "data-science-foundations.png", rating="4.6", reviews="118K reviews", meta="Beginner · Specialization · 3 months", badges=()),
POPULAR[3],
),
),
)
DEGREES = (
_card(
"Master of Science in Data Analytics Engineering",
"Northeastern University",
"degree-northeastern.png",
href="/degrees/ms-data-analytics-engineering-northeastern",
meta="Degree",
credential=True,
credential_label="Earn a degree",
provider_logo="/static/browse/lower/logo-northeastern.jpg",
badges=(),
),
_card(
"Master of Science in Data Science",
"University of Colorado Boulder",
"degree-colorado.png",
href="/degrees/master-of-science-data-science-boulder",
meta="Degree",
credential=True,
credential_label="Earn a degree",
provider_logo="/static/data-science/logo-colorado.png",
badges=(),
),
_card(
"Master of Data Science",
"University of Pittsburgh",
"degree-pittsburgh.png",
href="/degrees/master-of-data-science-university-of-pittsburgh",
meta="Degree",
credential=True,
credential_label="Earn a degree",
provider_logo="/static/data-science/logo-pittsburgh.png",
badges=(),
),
_card(
"Master of Science in Data Science (Statistics)",
"University of Leeds",
"degree-leeds.png",
href="/degrees/msc-data-science-ul",
meta="Degree",
credential=True,
credential_label="Earn a degree",
provider_logo="/static/data-science/logo-leeds.png",
badges=(),
),
)
CATEGORIES = (
("arts-and-humanities", "Arts and Humanities"),
("business", "Business"),
("computer-science", "Computer Science"),
("data-science", "Data Science"),
("health", "Health"),
("information-technology", "Information Technology"),
("language-learning", "Language Learning"),
("math-and-logic", "Math and Logic"),
("personal-development", "Personal Development"),
("physical-science-and-engineering", "Physical Science and Engineering"),
("social-sciences", "Social Sciences"),
)
RESULTS = (
_card("Google AI", "Google", "google-ai.png", href="/professional-certificates/google-ai", rating="4.8", reviews="9.6K reviews", meta="Beginner · Professional Certificate · 3 - 6 Months", skills="Vibe coding, AI-powered creativity, Debugging, Prompt Patterns, Brainstorming,…", badges=()),
_card("Google Data Analytics", "Google", "google-data-analytics.png", href="/professional-certificates/google-data-analytics", rating="4.8", reviews="182K reviews", meta="Beginner · Professional Certificate · 3 - 6 Months", credential=True, skills="Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data…", badges=()),
_card("Google AI Essentials", "Google", "google-ai-essentials.png", rating="4.8", reviews="25K reviews", meta="Beginner · Specialization · 3 - 6 Months", skills="Prompt Patterns, Google Gemini, Generative AI, AI literacy, Risking, Model Training,…", badges=()),
_card("Machine Learning", "Multiple educators", "machine-learning.png", rating="4.9", reviews="39K reviews", meta="Beginner · Specialization · 1 - 3 Months", skills="Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning,…", badges=()),
_card("IBM Generative AI Engineering", "IBM", "ibm-generative-ai.png", href="/professional-certificates/ai-engineer", rating="4.7", reviews="101K reviews", meta="Beginner · Professional Certificate · 3 - 6 Months", credential=True, skills="Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain,…", badges=()),
_card("IBM Data Analyst", "IBM", "ibm-data-analyst.png", rating="4.6", reviews="99K reviews", meta="Beginner · Professional Certificate · 3 - 6 Months", credential=True, skills="Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization…", badges=()),
_card("IBM Data Science", "IBM", "ibm-data-science.png", href="/professional-certificates/ibm-data-science", rating="4.6", reviews="151K reviews", meta="Beginner · Professional Certificate · 3 - 6 Months", credential=True, skills="Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization…", badges=()),
_card("Deep Learning", "DeepLearning.AI", "deep-learning.png", href="/specializations/deep-learning", rating="4.8", reviews="147K reviews", meta="Intermediate · Specialization · 3 - 6 Months", credential=True, skills="Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer…", badges=()),
_card("AI in Healthcare", "Stanford Online", "ai-healthcare.png", rating="4.7", reviews="2.6K reviews", meta="Beginner · Specialization · 3 - 6 Months", skills="Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical…", badges=()),
_card("Data Science Foundations", "Multiple educators", "data-science-foundations.png", rating="4.6", reviews="118K reviews", meta="Beginner · Specialization · 3 - 6 Months", skills="Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Da…", badges=()),
_card("Google Advanced Data Analytics", "Google", "google-advanced-data-analytics.png", rating="4.8", reviews="12K reviews", meta="Advanced · Professional Certificate · 3 - 6 Months", credential=True, skills="Interactive Data Visualization, Statistics, Descriptive Statistics, Logistic Regression,…", badges=()),
_card("IBM Data Analytics with Excel and R", "IBM", "ibm-data-analytics.png", rating="4.7", reviews="32K reviews", meta="Beginner · Professional Certificate · 3 - 6 Months", credential=True, skills="Data Storytelling, Data Wrangling, Exploratory Data Analysis, Database Design, Ggplot2,…", badges=()),
)
RELEASES = (
_card("Starting a Data Science Career", "Madecraft", "starting-data-science-career.png", meta="Beginner · Specialization", badges=()),
_card("Applied Data Science and Analytics", "Madecraft", "applied-data-science-analytics.png", meta="Intermediate · Specialization", badges=()),
_card("Applied Data Science with SQL, R, and Python", "John Wiley & Sons", "applied-data-science-sql.png", meta="Intermediate · Course", badges=()),
_card("Python Data Science Mistakes to Avoid", "Madecraft", "python-data-science-mistakes.png", meta="Course", badges=()),
)
def render_data_science_body() -> str:
template = _TEMPLATES.get_template("pages/data_science.html")
return template.render(
popular=POPULAR,
trending=TRENDING,
core_skills=CORE_SKILLS,
deep_learning=DEEP_LEARNING,
degrees=DEGREES,
categories=CATEGORIES,
results=RESULTS,
releases=RELEASES,
)
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