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Title: UDEMY Simulate understand & Visualize Data Like a Data ScientistGroup: NOGRPSource: Udemy
Info Hash
437E5798BB4A6AD63ED7D4D7626990AED3BCB7E9
Source
Unverified
Total Size
431.91 MB
Total Files
100
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
10. How to become a proactive data scientist/1. Proactive vs. reactive data science.mp46.22 MB
10. How to become a proactive data scientist/1. Proactive vs. reactive data science.vtt4.42 KB
10. How to become a proactive data scientist/2. Understand data origins and features.mp45.36 MB
10. How to become a proactive data scientist/2. Understand data origins and features.vtt4.36 KB
10. How to become a proactive data scientist/3. Write down or sketch the important results.mp48.57 MB
10. How to become a proactive data scientist/3. Write down or sketch the important results.vtt5.16 KB
10. How to become a proactive data scientist/4. Don_t give up -- every mistake is a learning opportunity!.mp44.67 MB
10. How to become a proactive data scientist/4. Don_t give up -- every mistake is a learning opportunity!.vtt2.67 KB
11. Conclusions and how to learn more/1. Conclusions and how to learn more.mp44.93 MB
11. Conclusions and how to learn more/1. Conclusions and how to learn more.vtt3.16 KB
12. Thanks! and coupon for other courses/1.1 THANKS.pdf.pdf100.6 KB
12. Thanks! and coupon for other courses/1. Thanks and coupon for other courses.html58 B
1. Introductions/1. Overall goals of this course.mp47.78 MB
1. Introductions/1. Overall goals of this course.vtt4.63 KB
1. Introductions/2. Why and how to simulate data.mp48.89 MB
1. Introductions/2. Why and how to simulate data.vtt6.32 KB
1. Introductions/3. What is signal and what is noise.mp48.44 MB
1. Introductions/3. What is signal and what is noise.vtt3.93 KB
1. Introductions/4. The importance of visualization.mp411.44 MB
1. Introductions/4. The importance of visualization.vtt8 KB
2. Descriptive statistics and basic visualizations/1.1 prodata_descriptiveVisualizations.zip.zip237.28 KB
2. Descriptive statistics and basic visualizations/1. Course materials for this section (reader, MATLAB code, Python code).html68 B
2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp412.33 MB
2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.vtt8.23 KB
2. Descriptive statistics and basic visualizations/3. Interquartile range.mp48.24 MB
2. Descriptive statistics and basic visualizations/3. Interquartile range.vtt4.54 KB
2. Descriptive statistics and basic visualizations/4. Histogram.mp46.38 MB
2. Descriptive statistics and basic visualizations/4. Histogram.vtt3.86 KB
2. Descriptive statistics and basic visualizations/5. Violin plot.mp48.7 MB
2. Descriptive statistics and basic visualizations/5. Violin plot.vtt5.65 KB
3. Data distributions/1.1 prodata_dataDistributions.zip.zip305.14 KB
3. Data distributions/1. Course materials for this section (reader, MATLAB code, Python code).html76 B
3. Data distributions/2. Normal and uniform distributions.mp414.6 MB
3. Data distributions/2. Normal and uniform distributions.vtt8.53 KB
3. Data distributions/3. QQ plot.mp410.85 MB
3. Data distributions/3. QQ plot.vtt7.15 KB
3. Data distributions/4. Poisson distribution.mp412.75 MB
3. Data distributions/4. Poisson distribution.vtt7.01 KB
3. Data distributions/5. Log-normal distribution.mp46.33 MB
3. Data distributions/5. Log-normal distribution.vtt3.87 KB
3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp46.66 MB
3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).vtt4.43 KB
3. Data distributions/7. Cohen_s d for separating distributions.mp410.69 MB
3. Data distributions/7. Cohen_s d for separating distributions.vtt6.59 KB
4. Time series signals/1.1 prodata_TimeSeriesSignals.zip.zip653.05 KB
4. Time series signals/1. Course materials for this section (reader, MATLAB code, Python code).html66 B
4. Time series signals/2. Sharp transients.mp48.86 MB
4. Time series signals/2. Sharp transients.vtt5.18 KB
4. Time series signals/3. Smooth transients.mp419.86 MB
4. Time series signals/3. Smooth transients.vtt11.75 KB
4. Time series signals/4. Repeating sine, square, and triangle waves.mp48.3 MB
4. Time series signals/4. Repeating sine, square, and triangle waves.vtt3.92 KB
4. Time series signals/5. Multicomponent oscillators.mp46.2 MB
4. Time series signals/5. Multicomponent oscillators.vtt3.61 KB
4. Time series signals/6. Dipolar and multipolar chirps.mp415.43 MB
4. Time series signals/6. Dipolar and multipolar chirps.vtt8.58 KB
5. Time series noise/1.1 prodata_TimeSeriesNoise.zip.zip474.12 KB
5. Time series noise/1. Course materials for this section (reader, MATLAB code, Python code).html69 B
5. Time series noise/2. Seeded reproducible normal and uniform noise.mp49.58 MB
5. Time series noise/2. Seeded reproducible normal and uniform noise.vtt5.24 KB
5. Time series noise/3. Pink noise (aka 1f aka fractal).mp412.11 MB
5. Time series noise/3. Pink noise (aka 1f aka fractal).vtt6.53 KB
5. Time series noise/4. Brownian noise (aka random walk).mp48.03 MB
5. Time series noise/4. Brownian noise (aka random walk).vtt4.59 KB
5. Time series noise/5. Multivariable correlated noise.mp413.22 MB
5. Time series noise/5. Multivariable correlated noise.vtt7.91 KB
6. Image signals/1.1 prodata_imageSignals.zip.zip263.57 KB
6. Image signals/1. Course materials for this section (reader, MATLAB code, Python code).html70 B
6. Image signals/2. Lines and edges.mp46.51 MB
6. Image signals/2. Lines and edges.vtt3.74 KB
6. Image signals/3. Sine patches and Gabor patches.mp49.17 MB
6. Image signals/3. Sine patches and Gabor patches.vtt4.85 KB
6. Image signals/4. Geometric shapes.mp47.29 MB
6. Image signals/4. Geometric shapes.vtt3.38 KB
6. Image signals/5. Rings.mp43.81 MB
6. Image signals/5. Rings.vtt2.88 KB
7. Image noise/1.1 prodata_imageNoise.zip.zip654.15 KB
7. Image noise/1. Course materials for this section (reader, MATLAB code, Python code).html72 B
7. Image noise/2. Image white noise.mp45.05 MB
7. Image noise/2. Image white noise.vtt2.8 KB
7. Image noise/3. Checkerboard patterns and noise.mp45.15 MB
7. Image noise/3. Checkerboard patterns and noise.vtt3.27 KB
7. Image noise/4. Perlin noise in 2D.mp49.92 MB
7. Image noise/4. Perlin noise in 2D.vtt4.63 KB
7. Image noise/5. Filtered 2D-FFT noise.mp48.47 MB
7. Image noise/5. Filtered 2D-FFT noise.vtt3.97 KB
8. Data clustering in space/1.1 prodata_dataClusters.zip.zip279.1 KB
8. Data clustering in space/1. Course materials for this section (reader, MATLAB code, Python code).html73 B
8. Data clustering in space/2. Clusters in 2D.mp410.93 MB
8. Data clustering in space/2. Clusters in 2D.vtt6.55 KB
8. Data clustering in space/3. Clusters in N-D.mp48.95 MB
8. Data clustering in space/3. Clusters in N-D.vtt2.05 KB
9. Spatiotemporal structure using forward models/1.1 prodata_forwardModels.zip.zip4.19 MB
9. Spatiotemporal structure using forward models/1. Course materials for this section (reader, MATLAB code, Python code).html116 B
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp431.41 MB
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.vtt9.29 KB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp418.42 MB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.vtt4.99 KB
9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp433.73 MB
9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.vtt15.49 KB

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