[Tutorialsplanet.NET] Udemy - Simulate, understand, & visualize data like a data scientist

File Name

Size

1. Introductions/1. Overall goals of this course.mp4

7.8 MB

1. Introductions/1. Overall goals of this course.vtt

4.6 kB

1. Introductions/2. Why and how to simulate data.mp4

8.9 MB

1. Introductions/2. Why and how to simulate data.vtt

6.3 kB

1. Introductions/3. What is signal and what is noise.mp4

8.4 MB

1. Introductions/3. What is signal and what is noise.vtt

3.9 kB

1. Introductions/4. The importance of visualization.mp4

11 MB

1. Introductions/4. The importance of visualization.vtt

8.0 kB

10. How to become a proactive data scientist/1. Proactive vs. reactive data science.mp4

6.2 MB

10. How to become a proactive data scientist/1. Proactive vs. reactive data science.vtt

4.4 kB

10. How to become a proactive data scientist/2. Understand data origins and features.mp4

5.4 MB

10. How to become a proactive data scientist/2. Understand data origins and features.vtt

4.4 kB

10. How to become a proactive data scientist/3. Write down or sketch the important results.mp4

8.6 MB

10. How to become a proactive data scientist/3. Write down or sketch the important results.vtt

5.2 kB

10. How to become a proactive data scientist/4. Don't give up -- every mistake is a learning opportunity!.mp4

4.7 MB

10. How to become a proactive data scientist/4. Don't give up -- every mistake is a learning opportunity!.vtt

2.7 kB

11. Conclusions and how to learn more/1. Conclusions and how to learn more.mp4

4.9 MB

11. Conclusions and how to learn more/1. Conclusions and how to learn more.vtt

3.2 kB

12. Discount coupon for related courses/1. Join the community!.html

553 B

12. Discount coupon for related courses/2. Bonus Links to related courses.html

2.5 kB

2. Descriptive statistics and basic visualizations/1. Course materials for this section (reader, MATLAB code, Python code).html

68 B

2. Descriptive statistics and basic visualizations/1.1 prodata_descriptiveVisualizations.zip.zip

237 kB

2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp4

12 MB

2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.vtt

8.2 kB

2. Descriptive statistics and basic visualizations/3. Interquartile range.mp4

8.2 MB

2. Descriptive statistics and basic visualizations/3. Interquartile range.vtt

4.5 kB

2. Descriptive statistics and basic visualizations/4. Histogram.mp4

6.4 MB

2. Descriptive statistics and basic visualizations/4. Histogram.vtt

3.9 kB

2. Descriptive statistics and basic visualizations/5. Violin plot.mp4

8.7 MB

2. Descriptive statistics and basic visualizations/5. Violin plot.vtt

5.7 kB

3. Data distributions/1. Course materials for this section (reader, MATLAB code, Python code).html

76 B

3. Data distributions/1.1 prodata_dataDistributions.zip.zip

305 kB

3. Data distributions/2. Normal and uniform distributions.mp4

15 MB

3. Data distributions/2. Normal and uniform distributions.vtt

8.5 kB

3. Data distributions/3. QQ plot.mp4

11 MB

3. Data distributions/3. QQ plot.vtt

7.1 kB

3. Data distributions/4. Poisson distribution.mp4

13 MB

3. Data distributions/4. Poisson distribution.vtt

7.0 kB

3. Data distributions/5. Log-normal distribution.mp4

6.3 MB

3. Data distributions/5. Log-normal distribution.vtt

3.9 kB

3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp4

6.7 MB

3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).vtt

4.4 kB

3. Data distributions/7. Cohen's d for separating distributions.mp4

11 MB

3. Data distributions/7. Cohen's d for separating distributions.vtt

6.6 kB

4. Time series signals/1. Course materials for this section (reader, MATLAB code, Python code).html

66 B

4. Time series signals/1.1 prodata_TimeSeriesSignals.zip.zip

653 kB

4. Time series signals/2. Sharp transients.mp4

8.9 MB

4. Time series signals/2. Sharp transients.vtt

5.2 kB

4. Time series signals/3. Smooth transients.mp4

20 MB

4. Time series signals/3. Smooth transients.vtt

12 kB

4. Time series signals/4. Repeating sine, square, and triangle waves.mp4

8.3 MB

4. Time series signals/4. Repeating sine, square, and triangle waves.vtt

3.9 kB

4. Time series signals/5. Multicomponent oscillators.mp4

6.2 MB

4. Time series signals/5. Multicomponent oscillators.vtt

3.6 kB

4. Time series signals/6. Dipolar and multipolar chirps.mp4

15 MB

4. Time series signals/6. Dipolar and multipolar chirps.vtt

8.6 kB

5. Time series noise/1. Course materials for this section (reader, MATLAB code, Python code).html

69 B

5. Time series noise/1.1 prodata_TimeSeriesNoise.zip.zip

474 kB

5. Time series noise/2. Seeded reproducible normal and uniform noise.mp4

9.6 MB

5. Time series noise/2. Seeded reproducible normal and uniform noise.vtt

5.2 kB

5. Time series noise/3. Pink noise (aka 1f aka fractal).mp4

12 MB

5. Time series noise/3. Pink noise (aka 1f aka fractal).vtt

6.5 kB

5. Time series noise/4. Brownian noise (aka random walk).mp4

8.0 MB

5. Time series noise/4. Brownian noise (aka random walk).vtt

4.6 kB

5. Time series noise/5. Multivariable correlated noise.mp4

13 MB

5. Time series noise/5. Multivariable correlated noise.vtt

7.9 kB

6. Image signals/1. Course materials for this section (reader, MATLAB code, Python code).html

70 B

6. Image signals/1.1 prodata_imageSignals.zip.zip

264 kB

6. Image signals/2. Lines and edges.mp4

6.5 MB

6. Image signals/2. Lines and edges.vtt

3.7 kB

6. Image signals/3. Sine patches and Gabor patches.mp4

9.2 MB

6. Image signals/3. Sine patches and Gabor patches.vtt

4.9 kB

6. Image signals/4. Geometric shapes.mp4

7.3 MB

6. Image signals/4. Geometric shapes.vtt

3.4 kB

6. Image signals/5. Rings.mp4

3.8 MB

6. Image signals/5. Rings.vtt

2.9 kB

7. Image noise/1. Course materials for this section (reader, MATLAB code, Python code).html

72 B

7. Image noise/1.1 prodata_imageNoise.zip.zip

654 kB

7. Image noise/2. Image white noise.mp4

5.1 MB

7. Image noise/2. Image white noise.vtt

2.8 kB

7. Image noise/3. Checkerboard patterns and noise.mp4

5.2 MB

7. Image noise/3. Checkerboard patterns and noise.vtt

3.3 kB

7. Image noise/4. Perlin noise in 2D.mp4

9.9 MB

7. Image noise/4. Perlin noise in 2D.vtt

4.6 kB

7. Image noise/5. Filtered 2D-FFT noise.mp4

8.5 MB

7. Image noise/5. Filtered 2D-FFT noise.vtt

4.0 kB

8. Data clustering in space/1. Course materials for this section (reader, MATLAB code, Python code).html

73 B

8. Data clustering in space/1.1 prodata_dataClusters.zip.zip

279 kB

8. Data clustering in space/2. Clusters in 2D.mp4

11 MB

8. Data clustering in space/2. Clusters in 2D.vtt

6.5 kB

8. Data clustering in space/3. Clusters in N-D.mp4

8.9 MB

8. Data clustering in space/3. Clusters in N-D.vtt

2.1 kB

9. Spatiotemporal structure using forward models/1. Course materials for this section (reader, MATLAB code, Python code).html

116 B

9. Spatiotemporal structure using forward models/1.1 prodata_forwardModels.zip.zip

4.2 MB

9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp4

31 MB

9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.vtt

9.3 kB

9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp4

18 MB

9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.vtt

5.0 kB

9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4

34 MB

9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.vtt

16 kB

[Tutorialsplanet.NET].url

128 B