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CBTNuggets - CompTIA DataX (DY0-001) Online Training (7.2025)

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File Name
Size
1. Explore Data Science and Resources for DataX/1. Introduction.mp4
24 MB
1. Explore Data Science and Resources for DataX/2. Introduction Part 2.mp4
44 MB
1. Explore Data Science and Resources for DataX/3. The Origin of Data Science.mp4
24 MB
1. Explore Data Science and Resources for DataX/4. What is Data Science.mp4
15 MB
1. Explore Data Science and Resources for DataX/5. Data Science Lifecycle & Machine Learning Approaches.mp4
26 MB
1. Explore Data Science and Resources for DataX/6. Machine Learning & Data Science Application Examples.mp4
32 MB
10. Examine Key Data Sources for Data Science/1. Introduction.mp4
5.6 MB
10. Examine Key Data Sources for Data Science/2. Generated Data.mp4
16 MB
10. Examine Key Data Sources for Data Science/3. Records.mp4
10 MB
10. Examine Key Data Sources for Data Science/4. Sensor Data.mp4
11 MB
10. Examine Key Data Sources for Data Science/5. Transactions & Experiments.mp4
10 MB
10. Examine Key Data Sources for Data Science/6. Synthetic Data.mp4
19 MB
10. Examine Key Data Sources for Data Science/7. Public Data.mp4
17 MB
11. Explore Data Ingestion & Storage for Data Science/1. Introduction.mp4
11 MB
11. Explore Data Ingestion & Storage for Data Science/2. Data Ingestion.mp4
7.6 MB
11. Explore Data Ingestion & Storage for Data Science/3. Ingestion Infrastructure.mp4
21 MB
11. Explore Data Ingestion & Storage for Data Science/4. Data Ingestion Pipeline.mp4
17 MB
11. Explore Data Ingestion & Storage for Data Science/5. Orchestration Vs Automation.mp4
4.4 MB
11. Explore Data Ingestion & Storage for Data Science/6. Structured Storage.mp4
8.1 MB
11. Explore Data Ingestion & Storage for Data Science/7. Flat Files, Semi-Structured, Unstructured, and Compression.mp4
18 MB
11. Explore Data Ingestion & Storage for Data Science/8. CHALLENGE 🎉.mp4
3.6 MB
12. Explore Data Analysis & Variables for Data Science/1. Introduction.mp4
18 MB
12. Explore Data Analysis & Variables for Data Science/2. Exploratory Data Analysis Basics.mp4
6.5 MB
12. Explore Data Analysis & Variables for Data Science/3. Types of Analysis Variables.mp4
16 MB
12. Explore Data Analysis & Variables for Data Science/4. Analyzing Health Survey Data.mp4
4.6 MB
12. Explore Data Analysis & Variables for Data Science/5. Univariate Analysis.mp4
16 MB
12. Explore Data Analysis & Variables for Data Science/6. Bivariate Analysis.mp4
12 MB
12. Explore Data Analysis & Variables for Data Science/7. Real-world Scenarios.mp4
35 MB
12. Explore Data Analysis & Variables for Data Science/8. Challenge.mp4
12 MB
13. Explore Multivariate Analysis and Quality in DS/1. Introduction.mp4
7.9 MB
13. Explore Multivariate Analysis and Quality in DS/2. Univariate & Bivariate Analysis Review (Spaced Retrieval).mp4
31 MB
13. Explore Multivariate Analysis and Quality in DS/3. Multivariate Analysis.mp4
34 MB
13. Explore Multivariate Analysis and Quality in DS/4. Data Quality.mp4
20 MB
13. Explore Multivariate Analysis and Quality in DS/5. Nonlinearity.mp4
7.3 MB
13. Explore Multivariate Analysis and Quality in DS/6. Challenge.mp4
4.5 MB
13. Explore Multivariate Analysis and Quality in DS/7. Solution.mp4
12 MB
14. Explore Data Transformation for Data Science/1. Introduction.mp4
5.7 MB
14. Explore Data Transformation for Data Science/2. Encoding Categorical Data.mp4
10 MB
14. Explore Data Transformation for Data Science/3. Label Encoding.mp4
7.5 MB
14. Explore Data Transformation for Data Science/4. Scaling and Normalization.mp4
11 MB
14. Explore Data Transformation for Data Science/5. Standardization.mp4
6.5 MB
14. Explore Data Transformation for Data Science/6. Transformation Functions.mp4
12 MB
14. Explore Data Transformation for Data Science/7. Structural Transformations.mp4
21 MB
14. Explore Data Transformation for Data Science/8. Feature Extraction.mp4
13 MB
14. Explore Data Transformation for Data Science/9. Challenge 🎉.mp4
52 MB
15. Augment and Feature Engineer Data for Data Science/1. Introduction.mp4
11 MB
15. Augment and Feature Engineer Data for Data Science/10. Outlier Detection.mp4
18 MB
15. Augment and Feature Engineer Data for Data Science/2. Explore the Datasets.mp4
17 MB
15. Augment and Feature Engineer Data for Data Science/3. Data Augmentation and Enrichment.mp4
16 MB
15. Augment and Feature Engineer Data for Data Science/4. Ground Truth Labeling.mp4
18 MB
15. Augment and Feature Engineer Data for Data Science/5. Feature Engineering.mp4
13 MB
15. Augment and Feature Engineer Data for Data Science/6. Merging and Combining Data with SQL JOINS.mp4
21 MB
15. Augment and Feature Engineer Data for Data Science/7. Left, Right, Full, Anti, and Fuzzy Joins (continued SQL JOINS).mp4
26 MB
15. Augment and Feature Engineer Data for Data Science/8. Cleaning Data.mp4
30 MB
15. Augment and Feature Engineer Data for Data Science/9. Interpolation and Extrapolation.mp4
6.4 MB
16. Explore Statistical and Machine Learning Models/1. Introduction.mp4
14 MB
16. Explore Statistical and Machine Learning Models/2. Regression Models.mp4
24 MB
16. Explore Statistical and Machine Learning Models/3. Classification Models.mp4
14 MB
16. Explore Statistical and Machine Learning Models/4. Modeling Time Series.mp4
17 MB
16. Explore Statistical and Machine Learning Models/5. Survival Analysis.mp4
16 MB
16. Explore Statistical and Machine Learning Models/6. Longitudinal Studies.mp4
14 MB
16. Explore Statistical and Machine Learning Models/7. Causal Inference & Bias-Variance Trade-Off.mp4
24 MB
16. Explore Statistical and Machine Learning Models/8. Loss Functions and Model Evaluations.mp4
25 MB
16. Explore Statistical and Machine Learning Models/9. Challenge 🎉.mp4
2.2 MB
17. Validate Models and Communicate Data Effectively/1. Introduction.mp4
22 MB
17. Validate Models and Communicate Data Effectively/2. What is Model Validation.mp4
22 MB
17. Validate Models and Communicate Data Effectively/3. Performance Metrics.mp4
12 MB
17. Validate Models and Communicate Data Effectively/4. Design Constraints.mp4
20 MB
17. Validate Models and Communicate Data Effectively/5. Data Drift Vs Concepts Drift.mp4
24 MB
17. Validate Models and Communicate Data Effectively/6. Aligning Business Requirements.mp4
6.2 MB
17. Validate Models and Communicate Data Effectively/7. Benchmarking.mp4
11 MB
17. Validate Models and Communicate Data Effectively/8. Communicating Results to Stakeholders.mp4
33 MB
17. Validate Models and Communicate Data Effectively/9. CHALLENGE 🎉.mp4
5.3 MB
18. Analyze Model Deployment and MLOps/1. Introduction.mp4
13 MB
18. Analyze Model Deployment and MLOps/10. MLOps Testing & Versioning.mp4
15 MB
18. Analyze Model Deployment and MLOps/2. Containerization.mp4
10 MB
18. Analyze Model Deployment and MLOps/3. Container Orchestration.mp4
8.4 MB
18. Analyze Model Deployment and MLOps/4. Virtualization.mp4
16 MB
18. Analyze Model Deployment and MLOps/5. On-Premises Deployment.mp4
17 MB
18. Analyze Model Deployment and MLOps/6. Hybrid & Edge Deployment.mp4
27 MB
18. Analyze Model Deployment and MLOps/7. Cluster & Cloud Deployment.mp4
20 MB
18. Analyze Model Deployment and MLOps/8. MLOps Lifecycle & Concepts.mp4
25 MB
18. Analyze Model Deployment and MLOps/9. MLOps Automation & Versioning.mp4
16 MB
18. Analyze Model Deployment and MLOps/Skill_14 DataX CompTIA Notes.svg
12 MB
19. Build a Supervised Learning Regression Model/1. Introduction.mp4
12 MB
19. Build a Supervised Learning Regression Model/2. What is Supervised Learning.mp4
16 MB
19. Build a Supervised Learning Regression Model/3. What is Linear Regression.mp4
35 MB
19. Build a Supervised Learning Regression Model/4. Predicting Disease with Linear Regression.mp4
35 MB
19. Build a Supervised Learning Regression Model/5. Predicting Disease EDA.mp4
19 MB
19. Build a Supervised Learning Regression Model/6. Predicting Disease Evaluation.mp4
21 MB
19. Build a Supervised Learning Regression Model/7. Linear regression Vs Logistic regression.mp4
12 MB
19. Build a Supervised Learning Regression Model/Skill_15_DataX_CompTIA.svg
1.1 MB
2. Assess your Data Science Knowledge Gaps for DataX/1. Introduction.mp4
12 MB
2. Assess your Data Science Knowledge Gaps for DataX/2. Review Questions with Answers Explained.mp4
71 MB
20. Build a Supervised Learning Classification Model/1. Introduction.mp4
11 MB
20. Build a Supervised Learning Classification Model/2. Linear Regression Vs Logistic Regression.mp4
22 MB
20. Build a Supervised Learning Classification Model/3. Implement Linear Regression Model.mp4
21 MB
20. Build a Supervised Learning Classification Model/4. Implement Logistic Regression Model.mp4
29 MB
20. Build a Supervised Learning Classification Model/5. Logistic Regression Breakdown.mp4
26 MB
20. Build a Supervised Learning Classification Model/6. CHALLENGE 🎉.mp4
15 MB
20. Build a Supervised Learning Classification Model/7. Solution Video.mp4
19 MB
21. Explore Quadratic and Linear Discriminant Analysis/1. Introduction.mp4
6.1 MB
21. Explore Quadratic and Linear Discriminant Analysis/2. Linear and Logistic Regression Vs. Discriminant Analysis (DA).mp4
23 MB
21. Explore Quadratic and Linear Discriminant Analysis/3. What is Discriminant Analysis (DA).mp4
19 MB
21. Explore Quadratic and Linear Discriminant Analysis/4. What is Linear Discriminant Analysis (LDA).mp4
18 MB
21. Explore Quadratic and Linear Discriminant Analysis/5. LCA Vs. PCA.mp4
9.8 MB
21. Explore Quadratic and Linear Discriminant Analysis/6. What is Quadratic Discriminant Analysis (QDA).mp4
15 MB
21. Explore Quadratic and Linear Discriminant Analysis/7. Checking Normality for LDA Shapiro-Wilk Test.mp4
16 MB
22. Classify Data with the Naive Bayes Algorithm/1. Introduction.mp4
15 MB
22. Classify Data with the Naive Bayes Algorithm/2. Bayes' Theorem.mp4
23 MB
22. Classify Data with the Naive Bayes Algorithm/3. Naive Bayes The Naive Part.mp4
16 MB
22. Classify Data with the Naive Bayes Algorithm/4. Naive Bayes On the Iris Dataset.mp4
31 MB
22. Classify Data with the Naive Bayes Algorithm/5. Naive Bayes On the Titanic Dataset.mp4
22 MB
22. Classify Data with the Naive Bayes Algorithm/6. Naive Bayes Zero Frequency Problem.mp4
23 MB
22. Classify Data with the Naive Bayes Algorithm/7. Handling Continuous, High-Dimensional, and Missing Data.mp4
5.8 MB
22. Classify Data with the Naive Bayes Algorithm/skill_18_DataX.excalidraw.png
4.5 MB
22. Classify Data with the Naive Bayes Algorithm/skill_18_DataX.excalidraw.svg
6.3 MB
23. Explore Decision Trees and Ensemble Methods/1. Introduction.mp4
20 MB
23. Explore Decision Trees and Ensemble Methods/10. Challenge 🎉.mp4
12 MB
23. Explore Decision Trees and Ensemble Methods/2. What is a Decision Tree.mp4
33 MB
23. Explore Decision Trees and Ensemble Methods/3. Visualizing Decision Trees.mp4
30 MB
23. Explore Decision Trees and Ensemble Methods/4. How Do Decision Trees Grow.mp4
11 MB
23. Explore Decision Trees and Ensemble Methods/5. Impurity Measures Gini and Entropy.mp4
24 MB
23. Explore Decision Trees and Ensemble Methods/6. Growing the Tree Step by Step with Cryptocurrency.mp4
18 MB
23. Explore Decision Trees and Ensemble Methods/7. A Practical Decision Tree Iris Dataset.mp4
32 MB
23. Explore Decision Trees and Ensemble Methods/8. What is a Random Forest.mp4
11 MB
23. Explore Decision Trees and Ensemble Methods/9. What Are Ensemble Methods.mp4
11 MB
23. Explore Decision Trees and Ensemble Methods/skill_19_DataX.excalidraw.svg
2.6 MB
24. Analyze Core Artificial Neural Network Concepts/1. Introduction.mp4
23 MB
24. Analyze Core Artificial Neural Network Concepts/2. What is an Artificial Neural Network.mp4
21 MB
24. Analyze Core Artificial Neural Network Concepts/3. What is a Perceptron.mp4
22 MB
24. Analyze Core Artificial Neural Network Concepts/4. Activation Function Breakdown.mp4
9.9 MB
24. Analyze Core Artificial Neural Network Concepts/5. ANN Components.mp4
24 MB
24. Analyze Core Artificial Neural Network Concepts/6. Different Activation Functions.mp4
45 MB
24. Analyze Core Artificial Neural Network Concepts/7. Training Neural Networks.mp4
12 MB
24. Analyze Core Artificial Neural Network Concepts/8. Challenge Build an ANN 🎉.mp4
20 MB
24. Analyze Core Artificial Neural Network Concepts/9. Solution.mp4
3.4 MB
24. Analyze Core Artificial Neural Network Concepts/skill_20_DataX.excalidraw.svg
1002 kB
25. Explore ANN Training Techniques & Gradient Descent/1. Introduction.mp4
18 MB
25. Explore ANN Training Techniques & Gradient Descent/2. Training Neural Networks.mp4
28 MB
25. Explore ANN Training Techniques & Gradient Descent/3. Training a Neural Network Loss Functions (continued).mp4
28 MB
25. Explore ANN Training Techniques & Gradient Descent/4. Training a Neural Network Formula (continued).mp4
33 MB
25. Explore ANN Training Techniques & Gradient Descent/5. Training Techniques Regularization.mp4
24 MB
25. Explore ANN Training Techniques & Gradient Descent/6. Challenge.mp4
9.1 MB
25. Explore ANN Training Techniques & Gradient Descent/7. Solution.mp4
15 MB
25. Explore ANN Training Techniques & Gradient Descent/skill_21_DataX.svg
9.0 MB
26. Apply Neural Network Concepts to Deep Learning/1. Introduction.mp4
21 MB
26. Apply Neural Network Concepts to Deep Learning/2. Gradient Problems.mp4
34 MB
26. Apply Neural Network Concepts to Deep Learning/3. Optimizers in Deep Learning.mp4
27 MB
26. Apply Neural Network Concepts to Deep Learning/4. What is Deep Learning.mp4
25 MB
26. Apply Neural Network Concepts to Deep Learning/5. Recurrent Neural Networks (RNNs), LSTMS, and GRUs.mp4
13 MB
26. Apply Neural Network Concepts to Deep Learning/6. The Transformer Architecture.mp4
29 MB
26. Apply Neural Network Concepts to Deep Learning/7. GANs, Diffusion, and Special Learning Techniques.mp4
21 MB
26. Apply Neural Network Concepts to Deep Learning/Attention Is All You Need.wav
38 MB
26. Apply Neural Network Concepts to Deep Learning/skill_22.excalidraw.svg
1.1 MB
27. Compare PyTorch and TensorFlow for Deep Learning/1. Introduction.mp4
11 MB
27. Compare PyTorch and TensorFlow for Deep Learning/2. Compare PyTorch Vs. TensorFlow.mp4
31 MB
27. Compare PyTorch and TensorFlow for Deep Learning/3. TensorFlow Multiclass Classifier.mp4
53 MB
27. Compare PyTorch and TensorFlow for Deep Learning/4. PyTorch Multiclass Classifier.mp4
52 MB
28. Explore Natural Language Processing (NLP) Concepts/1. Introduction.mp4
14 MB
28. Explore Natural Language Processing (NLP) Concepts/2. What is NLP.mp4
18 MB
28. Explore Natural Language Processing (NLP) Concepts/3. What is Text Analysis (aka Text Mining & Text Analytics).mp4
26 MB
28. Explore Natural Language Processing (NLP) Concepts/4. Text Analysis Matching Models.mp4
28 MB
28. Explore Natural Language Processing (NLP) Concepts/5. Text Analysis Semantic Matching.mp4
40 MB
28. Explore Natural Language Processing (NLP) Concepts/skill_24_notes.svg
7.5 MB
29. Explore Tokenization, Gen AI, and LLMs in NLP/1. Introduction.mp4
13 MB
29. Explore Tokenization, Gen AI, and LLMs in NLP/2. What is Tokenization (preprocessing).mp4
26 MB
29. Explore Tokenization, Gen AI, and LLMs in NLP/3. Sentence and Subword Tokenization.mp4
33 MB
29. Explore Tokenization, Gen AI, and LLMs in NLP/4. What is Language Generation.mp4
27 MB
29. Explore Tokenization, Gen AI, and LLMs in NLP/5. What are Large Language Models (LLMs).mp4
39 MB
29. Explore Tokenization, Gen AI, and LLMs in NLP/6. Challenge 🎉.mp4
4.1 MB
29. Explore Tokenization, Gen AI, and LLMs in NLP/7. Challenge Solution.mp4
6.3 MB
29. Explore Tokenization, Gen AI, and LLMs in NLP/skill_25.svg
2.4 MB
3. Explore Data Science Tools and Lifecycles/1. Introduction.mp4
6.9 MB
3. Explore Data Science Tools and Lifecycles/10. Optional Solution Walkthrough.mp4
14 MB
3. Explore Data Science Tools and Lifecycles/2. Implementing Best Practices in the Data Science Lifecycle.mp4
12 MB
3. Explore Data Science Tools and Lifecycles/3. CRISP-DM (Cross-Industry Standard Process for Data Mining).mp4
32 MB
3. Explore Data Science Tools and Lifecycles/4. TDSP (Team Data Science Process).mp4
11 MB
3. Explore Data Science Tools and Lifecycles/5. SEMMA (Sample, Explore, Modify, Model, Assess).mp4
17 MB
3. Explore Data Science Tools and Lifecycles/6. CHALLENGE.mp4
3.5 MB
3. Explore Data Science Tools and Lifecycles/7. CRISP-DM Scenario.mp4
5.5 MB
3. Explore Data Science Tools and Lifecycles/8. TDSP Scenario.mp4
2.3 MB
3. Explore Data Science Tools and Lifecycles/9. SEMMA Scenario.mp4
2.9 MB
30. Prepare Text for Natural Language Processing/1. Introduction.mp4
16 MB
30. Prepare Text for Natural Language Processing/2. Text Preparation and Representation.mp4
28 MB
30. Prepare Text for Natural Language Processing/3. Tokenization with N-grams.mp4
16 MB
30. Prepare Text for Natural Language Processing/4. Stemming and Lemmatization.mp4
17 MB
30. Prepare Text for Natural Language Processing/5. Removing Stop Words.mp4
28 MB
30. Prepare Text for Natural Language Processing/6. CHALLENGE 🎉.mp4
18 MB
30. Prepare Text for Natural Language Processing/7. Solution.mp4
16 MB
30. Prepare Text for Natural Language Processing/skill_26.excalidraw.svg
2.2 MB
31. Use Advanced Text Preparation for Machine Learning/1. Introduction.mp4
6.9 MB
31. Use Advanced Text Preparation for Machine Learning/2. POS Tagging.mp4
29 MB
31. Use Advanced Text Preparation for Machine Learning/3. Regular Expressions (Regex).mp4
25 MB
31. Use Advanced Text Preparation for Machine Learning/4. Spelling Normalization.mp4
11 MB
31. Use Advanced Text Preparation for Machine Learning/5. Data Augmentation.mp4
17 MB
31. Use Advanced Text Preparation for Machine Learning/6. Text Representations.mp4
12 MB
31. Use Advanced Text Preparation for Machine Learning/7. Challenge 🎉.mp4
3.9 MB
31. Use Advanced Text Preparation for Machine Learning/8. Solution.mp4
28 MB
31. Use Advanced Text Preparation for Machine Learning/skill_27.excalidraw.svg
5.3 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/1. Introduction.mp4
21 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/2. To Vectorize or Not to Vectorize.mp4
12 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/3. One-Hot Encoding.mp4
13 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/4. Python One-Hot Encoding Code Example.mp4
26 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/5. Bag of Words, TF-IDF, and TensorFlow Embedding Projector.mp4
38 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/6. TF-IDF Coding Example.mp4
8.5 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/7. Word Embeddings with Word2Vec.mp4
9.5 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/8. Word2Vec Coding Example.mp4
10 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/9. GloVe Global Vectors for Word Representation.mp4
19 MB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/glove_metadata.tsv
95 B
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/glove_vectors.tsv
12 kB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/metadata.tsv
1.4 kB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/skill_notes.png
900 kB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/time_spent_hypothesis_test.csv
54 kB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/vectors.tsv
472 kB
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/word2vec_metadata.tsv
948 B
32. Apply NLP One-Hot, BoW, TF-IDF, Word2Vec & GloVe/word2vec_vectors.tsv
232 kB
33. Explore Foundations of Optimization/1. Introduction.mp4
9.8 MB
33. Explore Foundations of Optimization/2. What is Optimization.mp4
17 MB
33. Explore Foundations of Optimization/3. Optimization in Machine Learning.mp4
27 MB
33. Explore Foundations of Optimization/4. Decision Variables, Objective Functions, and Constraints.mp4
14 MB
33. Explore Foundations of Optimization/5. Feasibility Regions.mp4
27 MB
33. Explore Foundations of Optimization/6. Constrained and Unconstrained Optimization.mp4
23 MB
33. Explore Foundations of Optimization/7. Gradient Descent Vs Stochastic Gradient Descent.mp4
16 MB
33. Explore Foundations of Optimization/skill_29.excalidraw.svg
5.5 MB
34. Compare Linear and Nonlinear Programming Methods/1. Introduction.mp4
9.1 MB
34. Compare Linear and Nonlinear Programming Methods/2. Linear Programming Concepts.mp4
22 MB
34. Compare Linear and Nonlinear Programming Methods/3. Linear Programming with Python.mp4
15 MB
34. Compare Linear and Nonlinear Programming Methods/4. Visualize the Feasibility Region.mp4
30 MB
34. Compare Linear and Nonlinear Programming Methods/5. Integer Programming.mp4
23 MB
34. Compare Linear and Nonlinear Programming Methods/6. Linear Vs Nonlinear Programming.mp4
20 MB
34. Compare Linear and Nonlinear Programming Methods/7. Visualize the Feasibility Region.mp4
12 MB
34. Compare Linear and Nonlinear Programming Methods/skill_30.excalidraw.svg
1.6 MB
35. Explore Specialized Machine Learning Optimization/1. Introduction.mp4
9.9 MB
35. Explore Specialized Machine Learning Optimization/2. What is the Goal of ML Optimization.mp4
21 MB
35. Explore Specialized Machine Learning Optimization/3. Visualize Gradient Descent in 1D.mp4
19 MB
35. Explore Specialized Machine Learning Optimization/4. Different Flavors of Gradient Descent.mp4
17 MB
35. Explore Specialized Machine Learning Optimization/5. Constrained Vs Unconstrained Optimization.mp4
19 MB
35. Explore Specialized Machine Learning Optimization/6. Bandit Problems.mp4
26 MB
35. Explore Specialized Machine Learning Optimization/7. WalkthroughSolution Video.mp4
20 MB
35. Explore Specialized Machine Learning Optimization/skill_31.excalidraw.svg
5.4 MB
36. Apply Computer Vision for Image Understanding/1. Introduction.mp4
15 MB
36. Apply Computer Vision for Image Understanding/2. Image Preprocessing.mp4
39 MB
36. Apply Computer Vision for Image Understanding/3. Object Detection with Pretrained Models.mp4
28 MB
36. Apply Computer Vision for Image Understanding/4. OCR and Segmentation.mp4
18 MB
36. Apply Computer Vision for Image Understanding/5. Image Extraction.mp4
31 MB
36. Apply Computer Vision for Image Understanding/6. Sensor Fusion.mp4
14 MB
36. Apply Computer Vision for Image Understanding/7. Solution.mp4
12 MB
36. Apply Computer Vision for Image Understanding/pic.png
2.1 MB
36. Apply Computer Vision for Image Understanding/skill_32.excalidraw.svg
1.1 MB
37. Apply Feature Extraction for Image Perception/1. Introduction.mp4
12 MB
37. Apply Feature Extraction for Image Perception/2. Image Preprocessing Deep Dive.mp4
42 MB
37. Apply Feature Extraction for Image Perception/3. More Geometric Transformations.mp4
26 MB
37. Apply Feature Extraction for Image Perception/4. Contrast, Normalization, Color Space Conversion & Hole Filling.mp4
32 MB
37. Apply Feature Extraction for Image Perception/5. Feature Extraction Deep Dive.mp4
27 MB
37. Apply Feature Extraction for Image Perception/6. Challenge 🎉.mp4
15 MB
37. Apply Feature Extraction for Image Perception/pic.png
2.1 MB
37. Apply Feature Extraction for Image Perception/skill_33.excalidraw.svg
933 kB
38. Identify Knowledge Gaps with the DataX SkillScan/1. Question 1.mp4
3.4 MB
38. Identify Knowledge Gaps with the DataX SkillScan/10. Question 10.mp4
2.8 MB
38. Identify Knowledge Gaps with the DataX SkillScan/11. Question 11.mp4
4.3 MB
38. Identify Knowledge Gaps with the DataX SkillScan/12. Question 12.mp4
1.6 MB
38. Identify Knowledge Gaps with the DataX SkillScan/13. Question 13.mp4
3.0 MB
38. Identify Knowledge Gaps with the DataX SkillScan/14. Question 14.mp4
3.3 MB
38. Identify Knowledge Gaps with the DataX SkillScan/15. Question 15.mp4
3.0 MB
38. Identify Knowledge Gaps with the DataX SkillScan/16. Question 16.mp4
2.8 MB
38. Identify Knowledge Gaps with the DataX SkillScan/17. Question 17.mp4
4.1 MB
38. Identify Knowledge Gaps with the DataX SkillScan/18. Question 18.mp4
2.7 MB
38. Identify Knowledge Gaps with the DataX SkillScan/19. Question 19.mp4
2.8 MB
38. Identify Knowledge Gaps with the DataX SkillScan/2. Question 2.mp4
2.9 MB
38. Identify Knowledge Gaps with the DataX SkillScan/20. Question 20.mp4
2.3 MB
38. Identify Knowledge Gaps with the DataX SkillScan/21. Question 21.mp4
2.2 MB
38. Identify Knowledge Gaps with the DataX SkillScan/22. Question 22.mp4
2.4 MB
38. Identify Knowledge Gaps with the DataX SkillScan/23. Question 23.mp4
2.6 MB
38. Identify Knowledge Gaps with the DataX SkillScan/24. Question 24.mp4
1.9 MB
38. Identify Knowledge Gaps with the DataX SkillScan/25. Question 25.mp4
1.8 MB
38. Identify Knowledge Gaps with the DataX SkillScan/26. Question 26.mp4
2.0 MB
38. Identify Knowledge Gaps with the DataX SkillScan/27. Question 27.mp4
2.7 MB
38. Identify Knowledge Gaps with the DataX SkillScan/28. Question 28.mp4
3.3 MB
38. Identify Knowledge Gaps with the DataX SkillScan/29. Question 29.mp4
2.9 MB
38. Identify Knowledge Gaps with the DataX SkillScan/3. Question 3.mp4
3.9 MB
38. Identify Knowledge Gaps with the DataX SkillScan/30. Question 30.mp4
3.4 MB
38. Identify Knowledge Gaps with the DataX SkillScan/31. Question 31.mp4
2.0 MB
38. Identify Knowledge Gaps with the DataX SkillScan/32. Question 32.mp4
2.2 MB
38. Identify Knowledge Gaps with the DataX SkillScan/33. Question 33.mp4
2.9 MB
38. Identify Knowledge Gaps with the DataX SkillScan/34. Question 34.mp4
7.7 MB
38. Identify Knowledge Gaps with the DataX SkillScan/35. Question 35.mp4
3.5 MB
38. Identify Knowledge Gaps with the DataX SkillScan/36. Question 36.mp4
2.5 MB
38. Identify Knowledge Gaps with the DataX SkillScan/4. Question 4.mp4
7.3 MB
38. Identify Knowledge Gaps with the DataX SkillScan/5. Question 5.mp4
5.0 MB
38. Identify Knowledge Gaps with the DataX SkillScan/6. Question 6.mp4
4.9 MB
38. Identify Knowledge Gaps with the DataX SkillScan/7. Question 7.mp4
2.2 MB
38. Identify Knowledge Gaps with the DataX SkillScan/8. Question 8.mp4
2.5 MB
38. Identify Knowledge Gaps with the DataX SkillScan/9. Question 9.mp4
4.4 MB
39. Use Models to Understand IP Networking/1. Intro.mp4
14 MB
39. Use Models to Understand IP Networking/2. IP Networking Overview.mp4
41 MB
39. Use Models to Understand IP Networking/3. Network Models.mp4
52 MB
39. Use Models to Understand IP Networking/4. Application and Transport Layers.mp4
91 MB
39. Use Models to Understand IP Networking/5. Layer 3, Network Layer.mp4
114 MB
39. Use Models to Understand IP Networking/6. Layer 2, Data Link Layer.mp4
92 MB
39. Use Models to Understand IP Networking/7. Layer 1, Physical Layer.mp4
44 MB
39. Use Models to Understand IP Networking/8. Validation.mp4
164 MB
39. Use Models to Understand IP Networking/9. Solution.mp4
224 MB
4. Examine Data Science Code Syntax and Workflows/1. Introduction.mp4
12 MB
4. Examine Data Science Code Syntax and Workflows/2. Python Libraries & Dependency Licenses for Data Science.mp4
28 MB
4. Examine Data Science Code Syntax and Workflows/3. Data Science Directory Structures.mp4
14 MB
4. Examine Data Science Code Syntax and Workflows/4. Basic Python Syntax.mp4
29 MB
4. Examine Data Science Code Syntax and Workflows/5. Basic R Syntax.mp4
16 MB
4. Examine Data Science Code Syntax and Workflows/6. CHALLENGE Clean & Process Sales Data.mp4
13 MB
4. Examine Data Science Code Syntax and Workflows/7. Solution Video.mp4
18 MB
5. Review Best Practices, Composition, & Requirements/1. Introduction.mp4
5.1 MB
5. Review Best Practices, Composition, & Requirements/2. DAMA and the DMBOK.mp4
18 MB
5. Review Best Practices, Composition, & Requirements/3. Requirement Gathering.mp4
12 MB
5. Review Best Practices, Composition, & Requirements/4. Software Composition Analysis.mp4
12 MB
5. Review Best Practices, Composition, & Requirements/5. Software Composition Analysis Part 2.mp4
24 MB
5. Review Best Practices, Composition, & Requirements/6. Documentation and Code Quality.mp4
9.7 MB
5. Review Best Practices, Composition, & Requirements/7. API Integration.mp4
11 MB
5. Review Best Practices, Composition, & Requirements/8. Challenge 🎉.mp4
777 kB
5. Review Best Practices, Composition, & Requirements/9. Solution Video (optional).mp4
20 MB
6. Explore Change Using Calculus for Data Science/1. Python Introduction.mp4
6.5 MB
6. Explore Change Using Calculus for Data Science/2. Derivatives Measuring Change.mp4
18 MB
6. Explore Change Using Calculus for Data Science/3. Chain Rule For Nested Functions.mp4
29 MB
6. Explore Change Using Calculus for Data Science/4. Partial Derivatives Multivariable Functions.mp4
22 MB
6. Explore Change Using Calculus for Data Science/5. Integration Accumulating Totals.mp4
14 MB
6. Explore Change Using Calculus for Data Science/6. CHALLENGE 🎉.mp4
11 MB
6. Explore Change Using Calculus for Data Science/7. Solution Video.mp4
12 MB
6. Explore Change Using Calculus for Data Science/skill_34.excalidraw.svg
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7. Apply Probability & Statistics for Data Science/1. Introduction.mp4
8.8 MB
7. Apply Probability & Statistics for Data Science/2. Probability Distributions.mp4
20 MB
7. Apply Probability & Statistics for Data Science/3. Discrete, Continuous, and Cumulative Distributions.mp4
33 MB
7. Apply Probability & Statistics for Data Science/4. Types of Continuous Distributions.mp4
15 MB
7. Apply Probability & Statistics for Data Science/5. Central Limit Theorem, Monte Carlo Simulations.mp4
16 MB
7. Apply Probability & Statistics for Data Science/6. Solution.mp4
14 MB
7. Apply Probability & Statistics for Data Science/skill_35.excalidraw.svg
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8. Perform Statistical Testing for Data Science/1. Introduction.mp4
16 MB
8. Perform Statistical Testing for Data Science/2. Inferential Statistics.mp4
32 MB
8. Perform Statistical Testing for Data Science/3. Confidence Intervals and Z-Scores.mp4
42 MB
8. Perform Statistical Testing for Data Science/4. Hypothesis Testing.mp4
36 MB
8. Perform Statistical Testing for Data Science/5. One-Sample, Two-Sample, and Paired t-Tests.mp4
21 MB
8. Perform Statistical Testing for Data Science/6. ANOVA, Chi-Squared Tests, and Correlation.mp4
19 MB
8. Perform Statistical Testing for Data Science/7. Challenge 🎉.mp4
5.5 MB
8. Perform Statistical Testing for Data Science/skill_36.excalidraw.svg
1.9 MB
9. Apply Linear Algebra to Data Science Problems/1. Introductions.mp4
7.4 MB
9. Apply Linear Algebra to Data Science Problems/2. Scalars, Vectors, Matrices, and Tensors.mp4
16 MB
9. Apply Linear Algebra to Data Science Problems/3. Vector Operations.mp4
20 MB
9. Apply Linear Algebra to Data Science Problems/4. Dot Product & Vector Distance Metrics.mp4
30 MB
9. Apply Linear Algebra to Data Science Problems/5. Matrix Operations.mp4
31 MB
9. Apply Linear Algebra to Data Science Problems/6. Inverse & Solving Linear Systems.mp4
18 MB
9. Apply Linear Algebra to Data Science Problems/7. CHALLENGE 🎉.mp4
2.3 MB
9. Apply Linear Algebra to Data Science Problems/skill_37.excalidraw.svg
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