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If this never completes: start PostgreSQL, check DATABASE_URL and DIRECT_URL in .env, run npx prisma db push. Optional: set SKIP_RUNTIME_CATALOG_SEED=1 to skip heavy catalog seed while debugging.
1 Python Data FoundationBEGINNER Python basics for data analysis with clean notebook workflow.
2 Data Exploration BasicsBEGINNER Explore, summarize, and visualize small datasets step by step.
31 Evaluation Playbook for support ticket categorization #432 Experiment Reproducibility Routine #5
3 Statistics StarterBEGINNER Mean, variance, distributions, and practical statistical intuition.
55 Data Pipeline Drill for support ticket categorization #156 Modeling Sprint: improve feature reliability #257 Feature Quality Checkpoint #358 Evaluation Playbook for customer churn prediction #459 Experiment Reproducibility Routine #560 Data Pipeline Drill for health triage support model #661 Modeling Sprint: increase reproducibility #7
4 Feature Engineering CoreINTERMEDIATE Transform raw data into model-ready features with stable pipelines.
81 Data Pipeline Drill for retail demand forecasting #182 Modeling Sprint: reduce training instability #283 Feature Quality Checkpoint #384 Evaluation Playbook for health triage support model #485 Experiment Reproducibility Routine #586 Data Pipeline Drill for personalized recommendation prototype #687 Modeling Sprint: strengthen experiment tracking #7
5 ML Modeling IntermediateINTERMEDIATE Train, validate, and compare classical machine learning models.
108 Data Pipeline Drill for health triage support model #1109 Modeling Sprint: optimize inference latency #2110 Feature Quality Checkpoint #3111 Evaluation Playbook for support ticket categorization #4112 Experiment Reproducibility Routine #5113 Data Pipeline Drill for retail demand forecasting #6114 Modeling Sprint: improve model quality #7
6 Evaluation and DebuggingINTERMEDIATE Diagnose model errors and improve decision quality.
135 Data Pipeline Drill for support ticket categorization #1136 Modeling Sprint: improve feature reliability #2137 Feature Quality Checkpoint #3138 Evaluation Playbook for customer churn prediction #4139 Experiment Reproducibility Routine #5140 Data Pipeline Drill for health triage support model #6141 Modeling Sprint: increase reproducibility #7
7 Deep Learning WorkflowADVANCED Neural network pipelines, optimization, and practical tuning.
161 Data Pipeline Drill for retail demand forecasting #1162 Modeling Sprint: reduce training instability #2163 Feature Quality Checkpoint #3164 Evaluation Playbook for health triage support model #4165 Experiment Reproducibility Routine #5166 Data Pipeline Drill for personalized recommendation prototype #6167 Modeling Sprint: strengthen experiment tracking #7
8 MLOps and ReproducibilityADVANCED Experiment tracking, model versioning, and deployment safety.
188 Data Pipeline Drill for health triage support model #1189 Modeling Sprint: optimize inference latency #2190 Feature Quality Checkpoint #3191 Evaluation Playbook for support ticket categorization #4192 Experiment Reproducibility Routine #5193 Data Pipeline Drill for retail demand forecasting #6194 Modeling Sprint: improve model quality #7
9 Time Series and NLPADVANCED Advanced applied tracks for sequential and language data.
215 Data Pipeline Drill for support ticket categorization #1216 Modeling Sprint: improve feature reliability #2217 Feature Quality Checkpoint #3218 Evaluation Playbook for customer churn prediction #4219 Experiment Reproducibility Routine #5220 Data Pipeline Drill for health triage support model #6221 Modeling Sprint: increase reproducibility #7
10 AI Systems ArchitecturePROFESSIONAL Design reliable AI systems with performance and governance controls.
241 Data Pipeline Drill for retail demand forecasting #1242 Modeling Sprint: reduce training instability #2243 Feature Quality Checkpoint #3244 Evaluation Playbook for health triage support model #4245 Experiment Reproducibility Routine #5246 Data Pipeline Drill for personalized recommendation prototype #6247 Modeling Sprint: strengthen experiment tracking #7
11 LLM and RAG ProductionPROFESSIONAL Production workflows for retrieval-augmented generation systems.
268 Data Pipeline Drill for health triage support model #1269 Modeling Sprint: optimize inference latency #2270 Feature Quality Checkpoint #3271 Evaluation Playbook for support ticket categorization #4272 Experiment Reproducibility Routine #5273 Data Pipeline Drill for retail demand forecasting #6274 Modeling Sprint: improve model quality #7
12 Responsible AI and SecurityPROFESSIONAL Bias control, model safety, monitoring, and compliance.
295 Data Pipeline Drill for support ticket categorization #1296 Modeling Sprint: improve feature reliability #2297 Feature Quality Checkpoint #3298 Evaluation Playbook for customer churn prediction #4299 Experiment Reproducibility Routine #5300 Data Pipeline Drill for health triage support model #6301 Modeling Sprint: increase reproducibility #7First 30 lessons are free. Subscribe to unlock all 320 Data Science & AI lessons.
33 Data Pipeline Drill for retail demand forecasting #6
34 Modeling Sprint: improve model quality #7
35 Feature Quality Checkpoint #8
36 Evaluation Playbook for health triage support model #9
37 Experiment Reproducibility Routine #10
38 Data Pipeline Drill for personalized recommendation prototype #11
39 Modeling Sprint: improve feature reliability #12
40 Feature Quality Checkpoint #13
41 Evaluation Playbook for retail demand forecasting #14
42 Experiment Reproducibility Routine #15
43 Data Pipeline Drill for fraud detection baseline #16
44 Modeling Sprint: increase reproducibility #17
45 Feature Quality Checkpoint #18
46 Evaluation Playbook for personalized recommendation prototype #19
47 Experiment Reproducibility Routine #20
48 Data Pipeline Drill for energy usage forecasting #21
49 Modeling Sprint: reduce business risk in predictions #22
50 Feature Quality Checkpoint #23
51 Evaluation Playbook for fraud detection baseline #24
52 Experiment Reproducibility Routine #25
53 Data Pipeline Drill for warehouse optimization model #26
54 Modeling Sprint: prevent data leakage #2762
63 Evaluation Playbook for support ticket categorization #9
64 Experiment Reproducibility Routine #10
65 Data Pipeline Drill for retail demand forecasting #11
66 Modeling Sprint: reduce business risk in predictions #12
67 Feature Quality Checkpoint #13
68 Evaluation Playbook for health triage support model #14
69 Experiment Reproducibility Routine #15
70 Data Pipeline Drill for personalized recommendation prototype #16
71 Modeling Sprint: prevent data leakage #17
72 Feature Quality Checkpoint #18
73 Evaluation Playbook for retail demand forecasting #19
74 Experiment Reproducibility Routine #20
75 Data Pipeline Drill for fraud detection baseline #21
76 Modeling Sprint: reduce training instability #22
77 Feature Quality Checkpoint #23
78 Evaluation Playbook for personalized recommendation prototype #24
79 Experiment Reproducibility Routine #25
80 Data Pipeline Drill for energy usage forecasting #26
88 Feature Quality Checkpoint #8
89 Evaluation Playbook for retail demand forecasting #9
90 Experiment Reproducibility Routine #10
91 Data Pipeline Drill for fraud detection baseline #11
92 Modeling Sprint: optimize inference latency #12
93 Feature Quality Checkpoint #13
94 Evaluation Playbook for personalized recommendation prototype #14
95 Experiment Reproducibility Routine #15
96 Data Pipeline Drill for energy usage forecasting #16
97 Modeling Sprint: improve model quality #17
98 Feature Quality Checkpoint #18
99 Evaluation Playbook for fraud detection baseline #19
100 Experiment Reproducibility Routine #20
101 Data Pipeline Drill for warehouse optimization model #21
102 Modeling Sprint: improve feature reliability #22
103 Feature Quality Checkpoint #23
104 Evaluation Playbook for energy usage forecasting #24
105 Experiment Reproducibility Routine #25
106 Data Pipeline Drill for customer churn prediction #26
107 Modeling Sprint: increase reproducibility #27
115 Feature Quality Checkpoint #8
116 Evaluation Playbook for health triage support model #9
117 Experiment Reproducibility Routine #10
118 Data Pipeline Drill for personalized recommendation prototype #11
119 Modeling Sprint: improve feature reliability #12
120 Feature Quality Checkpoint #13
121 Evaluation Playbook for retail demand forecasting #14
122 Experiment Reproducibility Routine #15
123 Data Pipeline Drill for fraud detection baseline #16
124 Modeling Sprint: increase reproducibility #17
125 Feature Quality Checkpoint #18
126 Evaluation Playbook for personalized recommendation prototype #19
127 Experiment Reproducibility Routine #20
128 Data Pipeline Drill for energy usage forecasting #21
129 Modeling Sprint: reduce business risk in predictions #22
130 Feature Quality Checkpoint #23
131 Evaluation Playbook for fraud detection baseline #24
132 Experiment Reproducibility Routine #25
133 Data Pipeline Drill for warehouse optimization model #26
134 Modeling Sprint: prevent data leakage #27
142 Feature Quality Checkpoint #8
143 Evaluation Playbook for support ticket categorization #9
144 Experiment Reproducibility Routine #10
145 Data Pipeline Drill for retail demand forecasting #11
146 Modeling Sprint: reduce business risk in predictions #12
147 Feature Quality Checkpoint #13
148 Evaluation Playbook for health triage support model #14
149 Experiment Reproducibility Routine #15
150 Data Pipeline Drill for personalized recommendation prototype #16
151 Modeling Sprint: prevent data leakage #17
152 Feature Quality Checkpoint #18
153 Evaluation Playbook for retail demand forecasting #19
154 Experiment Reproducibility Routine #20
155 Data Pipeline Drill for fraud detection baseline #21
156 Modeling Sprint: reduce training instability #22
157 Feature Quality Checkpoint #23
158 Evaluation Playbook for personalized recommendation prototype #24
159 Experiment Reproducibility Routine #25
160 Data Pipeline Drill for energy usage forecasting #26
168 Feature Quality Checkpoint #8
169 Evaluation Playbook for retail demand forecasting #9
170 Experiment Reproducibility Routine #10
171 Data Pipeline Drill for fraud detection baseline #11
172 Modeling Sprint: optimize inference latency #12
173 Feature Quality Checkpoint #13
174 Evaluation Playbook for personalized recommendation prototype #14
175 Experiment Reproducibility Routine #15
176 Data Pipeline Drill for energy usage forecasting #16
177 Modeling Sprint: improve model quality #17
178 Feature Quality Checkpoint #18
179 Evaluation Playbook for fraud detection baseline #19
180 Experiment Reproducibility Routine #20
181 Data Pipeline Drill for warehouse optimization model #21
182 Modeling Sprint: improve feature reliability #22
183 Feature Quality Checkpoint #23
184 Evaluation Playbook for energy usage forecasting #24
185 Experiment Reproducibility Routine #25
186 Data Pipeline Drill for customer churn prediction #26
187 Modeling Sprint: increase reproducibility #27
195 Feature Quality Checkpoint #8
196 Evaluation Playbook for health triage support model #9
197 Experiment Reproducibility Routine #10
198 Data Pipeline Drill for personalized recommendation prototype #11
199 Modeling Sprint: improve feature reliability #12
200 Feature Quality Checkpoint #13
201 Evaluation Playbook for retail demand forecasting #14
202 Experiment Reproducibility Routine #15
203 Data Pipeline Drill for fraud detection baseline #16
204 Modeling Sprint: increase reproducibility #17
205 Feature Quality Checkpoint #18
206 Evaluation Playbook for personalized recommendation prototype #19
207 Experiment Reproducibility Routine #20
208 Data Pipeline Drill for energy usage forecasting #21
209 Modeling Sprint: reduce business risk in predictions #22
210 Feature Quality Checkpoint #23
211 Evaluation Playbook for fraud detection baseline #24
212 Experiment Reproducibility Routine #25
213 Data Pipeline Drill for warehouse optimization model #26
214 Modeling Sprint: prevent data leakage #27222
223 Evaluation Playbook for support ticket categorization #9
224 Experiment Reproducibility Routine #10
225 Data Pipeline Drill for retail demand forecasting #11
226 Modeling Sprint: reduce business risk in predictions #12
227 Feature Quality Checkpoint #13
228 Evaluation Playbook for health triage support model #14
229 Experiment Reproducibility Routine #15
230 Data Pipeline Drill for personalized recommendation prototype #16
231 Modeling Sprint: prevent data leakage #17
232 Feature Quality Checkpoint #18
233 Evaluation Playbook for retail demand forecasting #19
234 Experiment Reproducibility Routine #20
235 Data Pipeline Drill for fraud detection baseline #21
236 Modeling Sprint: reduce training instability #22
237 Feature Quality Checkpoint #23
238 Evaluation Playbook for personalized recommendation prototype #24
239 Experiment Reproducibility Routine #25
240 Data Pipeline Drill for energy usage forecasting #26
248 Feature Quality Checkpoint #8
249 Evaluation Playbook for retail demand forecasting #9
250 Experiment Reproducibility Routine #10
251 Data Pipeline Drill for fraud detection baseline #11
252 Modeling Sprint: optimize inference latency #12
253 Feature Quality Checkpoint #13
254 Evaluation Playbook for personalized recommendation prototype #14
255 Experiment Reproducibility Routine #15
256 Data Pipeline Drill for energy usage forecasting #16
257 Modeling Sprint: improve model quality #17
258 Feature Quality Checkpoint #18
259 Evaluation Playbook for fraud detection baseline #19
260 Experiment Reproducibility Routine #20
261 Data Pipeline Drill for warehouse optimization model #21
262 Modeling Sprint: improve feature reliability #22
263 Feature Quality Checkpoint #23
264 Evaluation Playbook for energy usage forecasting #24
265 Experiment Reproducibility Routine #25
266 Data Pipeline Drill for customer churn prediction #26
267 Modeling Sprint: increase reproducibility #27275
276 Evaluation Playbook for health triage support model #9
277 Experiment Reproducibility Routine #10
278 Data Pipeline Drill for personalized recommendation prototype #11
279 Modeling Sprint: improve feature reliability #12
280 Feature Quality Checkpoint #13
281 Evaluation Playbook for retail demand forecasting #14
282 Experiment Reproducibility Routine #15
283 Data Pipeline Drill for fraud detection baseline #16
284 Modeling Sprint: increase reproducibility #17
285 Feature Quality Checkpoint #18
286 Evaluation Playbook for personalized recommendation prototype #19
287 Experiment Reproducibility Routine #20
288 Data Pipeline Drill for energy usage forecasting #21
289 Modeling Sprint: reduce business risk in predictions #22
290 Feature Quality Checkpoint #23
291 Evaluation Playbook for fraud detection baseline #24
292 Experiment Reproducibility Routine #25
293 Data Pipeline Drill for warehouse optimization model #26
294 Modeling Sprint: prevent data leakage #27
302 Feature Quality Checkpoint #8
303 Evaluation Playbook for support ticket categorization #9
304 Experiment Reproducibility Routine #10
305 Data Pipeline Drill for retail demand forecasting #11
306 Modeling Sprint: reduce business risk in predictions #12
307 Feature Quality Checkpoint #13
308 Evaluation Playbook for health triage support model #14
309 Experiment Reproducibility Routine #15
310 Data Pipeline Drill for personalized recommendation prototype #16
311 Modeling Sprint: prevent data leakage #17
312 Feature Quality Checkpoint #18
313 Evaluation Playbook for retail demand forecasting #19
314 Experiment Reproducibility Routine #20
315 Data Pipeline Drill for fraud detection baseline #21
316 Modeling Sprint: reduce training instability #22
317 Feature Quality Checkpoint #23
318 Evaluation Playbook for personalized recommendation prototype #24
319 Experiment Reproducibility Routine #25
320 Data Pipeline Drill for energy usage forecasting #26