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3af6d41 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 | """Source-grounded rendering for Coursera's Data Science category page."""
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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