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Udemy - Data Visualization in Python Masterclass: Beginners to Pro

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Udemy - Data Visualization in Python Masterclass: Beginners to Pro (Size: 6.53 GB)
  TutsNode.com.txt 63 B
  [TGx]Downloaded from torrentgalaxy.to .txt 585 B
  [TutsNode.com] - Data Visualization in Python Masterclass Beginners to Pro
  1. Introduction
  1. Welcome.mp4 24.5 MB
  1. Welcome.srt 4.23 KB
  10. Jupyter Notebook Shortcuts Article.html 332 B
  11. Test Yourself.html 148 B
  2. DO NOT SKIP IT Free Resources!!!.html 989 B
  3. DO NOT SKIP IT Introduction.html 723 B
  3.1 DataVisualization.zip 57.29 MB
  4. Q&A Support.html 417 B
  5. Course Overview.mp4 43.95 MB
  5. Course Overview.srt 6.46 KB
  6. Anaconda Installation for Windows OS.mp4 35.14 MB
  6. Anaconda Installation for Windows OS.srt 7.53 KB
  7. Anaconda Installation for Mac OS.mp4 71.71 MB
  7. Anaconda Installation for Mac OS.srt 8.47 KB
  8. Anaconda Installation on Ubuntu OS.mp4 22.39 MB
  8. Anaconda Installation on Ubuntu OS.srt 4.88 KB
  9. Jupyter Notebook Keyboard Shortcuts.mp4 27.86 MB
  9. Jupyter Notebook Keyboard Shortcuts.srt 11.33 KB
  10. Analysis and Visualization of Boston Housing Data
  1. Introduction.mp4 20.84 MB
  1. Introduction.srt 1.96 KB
  10. Heatmap.mp4 79.41 MB
  10. Heatmap.srt 12.61 KB
  11. Correlated Feature Selection.mp4 38.21 MB
  11. Correlated Feature Selection.srt 10 KB
  12. Heatmap and Pair Plot of Correlated Data.mp4 38.46 MB
  12. Heatmap and Pair Plot of Correlated Data.srt 8.98 KB
  13. Box and Rel Plot.mp4 37.59 MB
  13. Box and Rel Plot.srt 9.66 KB
  14. Joint Plot Part 1.mp4 21.15 MB
  14. Joint Plot Part 1.srt 6.4 KB
  15. Joint Plot Part 2.mp4 29.73 MB
  15. Joint Plot Part 2.srt 7.74 KB
  16. Linear Regression without ML Part 1.mp4 28.48 MB
  16. Linear Regression without ML Part 1.srt 7.49 KB
  17. Linear Regression without ML Part 2.mp4 39.47 MB
  17. Linear Regression without ML Part 2.srt 10.31 KB
  2. Data Preparation.mp4 31.85 MB
  2. Data Preparation.srt 8.61 KB
  3. Data Deep Dive.mp4 50.01 MB
  3. Data Deep Dive.srt 7.47 KB
  4. pd.describe().mp4 38.5 MB
  4. pd.describe().srt 7.19 KB
  5. Bar Plot.mp4 24.55 MB
  5. Bar Plot.srt 6.77 KB
  6. Plot Styling.mp4 39.19 MB
  6. Plot Styling.srt 7.66 KB
  7. Pair Plot.mp4 87.71 MB
  7. Pair Plot.srt 11.81 KB
  8. Distribution Plot.mp4 31.07 MB
  8. Distribution Plot.srt 7.44 KB
  9. Scatter Plot.mp4 43 MB
  9. Scatter Plot.srt 10.24 KB
  11. Analysis and Visualization of Titanic Dataset
  1. Introduction.mp4 28.72 MB
  1. Introduction.srt 3.1 KB
  10. Sex Part 2.mp4 13.01 MB
  10. Sex Part 2.srt 5.33 KB
  11. Sex Part 3.mp4 13.84 MB
  11. Sex Part 3.srt 4.67 KB
  12. Sex Part 4.mp4 21.68 MB
  12. Sex Part 4.srt 6.99 KB
  13. Sex Part 5.mp4 9.29 MB
  13. Sex Part 5.srt 2.89 KB
  14. Age Part 1.mp4 23.02 MB
  14. Age Part 1.srt 6.89 KB
  15. Age Part 2.mp4 18.93 MB
  15. Age Part 2.srt 5.94 KB
  16. Age Part 3.mp4 18.6 MB
  16. Age Part 3.srt 5.07 KB
  17. Age Part 4.mp4 40.83 MB
  17. Age Part 4.srt 8.13 KB
  18. Fare Part 1.mp4 15.83 MB
  18. Fare Part 1.srt 4.64 KB
  19. Fare Part 2.mp4 10.44 MB
  19. Fare Part 2.srt 4.26 KB
  2. Data Understanding.mp4 20.97 MB
  2. Data Understanding.srt 4.82 KB
  20. Fare Part 3.mp4 23.4 MB
  20. Fare Part 3.srt 6.33 KB
  21. Fare Part 4.mp4 21.1 MB
  21. Fare Part 4.srt 6.02 KB
  22. Sibsp Part 1.mp4 17.16 MB
  22. Sibsp Part 1.srt 5.9 KB
  23. Sibsp Part 2.mp4 11.91 MB
  23. Sibsp Part 2.srt 4.63 KB
  24. Sibsp Part 3.mp4 12.73 MB
  24. Sibsp Part 3.srt 4 KB
  25. Sibsp Part 4.mp4 16.37 MB
  25. Sibsp Part 4.srt 4.78 KB
  26. Parch Part 1.mp4 25.04 MB
  26. Parch Part 1.srt 6.58 KB
  27. Parch Part 2.mp4 18.2 MB
  27. Parch Part 2.srt 5.64 KB
  28. Embarked.mp4 22.7 MB
  28. Embarked.srt 5.88 KB
  29. Who.mp4 22.88 MB
  29. Who.srt 6.84 KB
  3. Load Dataset.mp4 32.33 MB
  3. Load Dataset.srt 7.57 KB
  4. Heatmap.mp4 26.61 MB
  4. Heatmap.srt 6.68 KB
  5. Univariate Analysis.mp4 38.42 MB
  5. Univariate Analysis.srt 9.57 KB
  6. Survived.mp4 20.52 MB
  6. Survived.srt 7.74 KB
  7. Pclass Part 1.mp4 11 MB
  7. Pclass Part 1.srt 4.31 KB
  8. Pclass Part 2.mp4 26.92 MB
  8. Pclass Part 2.srt 9.96 KB
  9. Sex Part 1.mp4 18.83 MB
  9. Sex Part 1.srt 6.02 KB
  12. Analysis and Visualization of Covid-19 Data
  1. Introduction.mp4 39.44 MB
  1. Introduction.srt 3.9 KB
  10. Cases Over the Time with Area Plot Part 1.mp4 32.38 MB
  10. Cases Over the Time with Area Plot Part 1.srt 7.77 KB
  11. Cases Over the Time with Area Plot Part 2.mp4 33.72 MB
  11. Cases Over the Time with Area Plot Part 2.srt 7.05 KB
  12. Covid-19 Cases on Folium Map.mp4 55.45 MB
  12. Covid-19 Cases on Folium Map.srt 9.83 KB
  13. Confirmed Cases with Animation.mp4 35.89 MB
  13. Confirmed Cases with Animation.srt 9.16 KB
  14. Confirmed and Death Cases with Bar Plot.mp4 24.71 MB
  14. Confirmed and Death Cases with Bar Plot.srt 5.06 KB
  15. Confirmed and Death Cases with Colormap.mp4 36.75 MB
  15. Confirmed and Death Cases with Colormap.srt 6.87 KB
  16. Deaths per 100 Cases.mp4 34.16 MB
  16. Deaths per 100 Cases.srt 6.61 KB
  17. New Cases and Countries per Day.mp4 36.07 MB
  17. New Cases and Countries per Day.srt 6.39 KB
  18. Correction in Top 15 Countries Case Analysis Part 1.html 376 B
  19. Top 15 Countries Case Analysis Part 1.mp4 29.13 MB
  19. Top 15 Countries Case Analysis Part 1.srt 6.53 KB
  2. Data Understanding.mp4 29.07 MB
  2. Data Understanding.srt 4.78 KB
  20. Top 15 Countries Case Analysis Part 2.mp4 45.47 MB
  20. Top 15 Countries Case Analysis Part 2.srt 6.22 KB
  21. Top 15 Countries Case Analysis Part 3.mp4 39.97 MB
  21. Top 15 Countries Case Analysis Part 3.srt 4.42 KB
  22. Top 15 Countries Case Analysis Part 4.mp4 45.21 MB
  22. Top 15 Countries Case Analysis Part 4.srt 4.84 KB
  23. Top 15 Countries Case Analysis Part 5.mp4 52.9 MB
  23. Top 15 Countries Case Analysis Part 5.srt 6.17 KB
  24. Save Figures in PNG, JPEG, and PDF.mp4 21.5 MB
  24. Save Figures in PNG, JPEG, and PDF.srt 5.58 KB
  25. Scatter Plot for Deaths vs Confirmed Cases.mp4 59.4 MB
  25. Scatter Plot for Deaths vs Confirmed Cases.srt 8.26 KB
  26. Stacked Bar Plot.mp4 39.3 MB
  26. Stacked Bar Plot.srt 9.21 KB
  27. Stacked Line Plot.mp4 15.59 MB
  27. Stacked Line Plot.srt 3.03 KB
  28. Growth Rate After 100 Cases.mp4 52.88 MB
  28. Growth Rate After 100 Cases.srt 10.47 KB
  29. Growth Rate After 1000 Cases.mp4 12.67 MB
  29. Growth Rate After 1000 Cases.srt 2.52 KB
  3. Import Packages.mp4 21.9 MB
  3. Import Packages.srt 5.81 KB
  30. Growth Rate After 10000 Cases.mp4 13.69 MB
  30. Growth Rate After 10000 Cases.srt 2.62 KB
  31. Growth Rate After 100k Cases.mp4 11.44 MB
  31. Growth Rate After 100k Cases.srt 2.89 KB
  32. Tree Map Analysis.mp4 22 MB
  32. Tree Map Analysis.srt 5.28 KB
  33. First and Last Case Report Time Part 1.mp4 24.08 MB
  33. First and Last Case Report Time Part 1.srt 6.52 KB
  34. First and Last Case Report Time Part 2.mp4 21.37 MB
  34. First and Last Case Report Time Part 2.srt 4.75 KB
  35. First and Last Case Report Time Part 3.mp4 58.62 MB
  35. First and Last Case Report Time Part 3.srt 12.62 KB
  36. Confirmed Cases by Country and Daywise.mp4 56.52 MB
  36. Confirmed Cases by Country and Daywise.srt 8.77 KB
  37. Covid-19 vs Other Epidemics.mp4 64.36 MB
  37. Covid-19 vs Other Epidemics.srt 10.99 KB
  4. Clone Latest Covid-19 Dataset.mp4 23.01 MB
  4. Clone Latest Covid-19 Dataset.srt 5.75 KB
  5. Import Cleaned Covid-19 Dataset.mp4 37.11 MB
  5. Import Cleaned Covid-19 Dataset.srt 5.58 KB
  6. Import Preprocessed Data.mp4 33.66 MB
  6. Import Preprocessed Data.srt 6.45 KB
  7. Scatter Plot for Confirmed Cases.mp4 37.17 MB
  7. Scatter Plot for Confirmed Cases.srt 9.27 KB
  8. Cases Timelaps on Worldmap.mp4 44.19 MB
  8. Cases Timelaps on Worldmap.srt 8.96 KB
  9. Total Cases on Ships.mp4 40.22 MB
  9. Total Cases on Ships.srt 7.45 KB
  13. Analysis and Visualization of Reviews Text Data
  1. Introduction.mp4 22.91 MB
  1. Introduction.srt 2.4 KB
  10. Distribution of Unigram, Bigram and Trigram Part 1.mp4 49.02 MB
  10. Distribution of Unigram, Bigram and Trigram Part 1.srt 15.36 KB
  11. Distribution of Unigram, Bigram and Trigram Part 2.mp4 52.43 MB
  11. Distribution of Unigram, Bigram and Trigram Part 2.srt 9.83 KB
  12. Distribution of Unigram, Bigram and Trigram without STOP WORDS.mp4 56.95 MB
  12. Distribution of Unigram, Bigram and Trigram without STOP WORDS.srt 9.36 KB
  13. Distribution of Top 20 Parts-of-Speech POS tags.mp4 41.42 MB
  13. Distribution of Top 20 Parts-of-Speech POS tags.srt 9.43 KB
  14. Bivariate Analysis Part 1.mp4 48.12 MB
  14. Bivariate Analysis Part 1.srt 10.78 KB
  15. Bivariate Analysis Part 2.mp4 39.04 MB
  15. Bivariate Analysis Part 2.srt 9.89 KB
  16. Bivariate Analysis Part 3.mp4 22.37 MB
  16. Bivariate Analysis Part 3.srt 5.89 KB
  2. Getting Started.mp4 29.04 MB
  2. Getting Started.srt 5.96 KB
  3. Data Import.mp4 42.51 MB
  3. Data Import.srt 8.53 KB
  4. Data Cleaning.mp4 49.96 MB
  4. Data Cleaning.srt 10.18 KB
  5. Feature Engineering.mp4 39.51 MB
  5. Feature Engineering.srt 11.14 KB
  6. Distribution of Sentiment Polarity.mp4 22.94 MB
  6. Distribution of Sentiment Polarity.srt 6.58 KB
  7. Distribution of Reviews Rating and Reviewers Age.mp4 18.23 MB
  7. Distribution of Reviews Rating and Reviewers Age.srt 6.78 KB
  8. Distribution of Review Text Length and Word Length.mp4 25.12 MB
  8. Distribution of Review Text Length and Word Length.srt 7.15 KB
  9. Distribution of Department, Division, and Class.mp4 35.59 MB
  9. Distribution of Department, Division, and Class.srt 8.82 KB
  14. Analysis and Visualization of IPL Cricket Matches
  1. Introduction.mp4 16.05 MB
  1. Introduction.srt 1.62 KB
  2. About Cricket Matches and Package Import.mp4 59.55 MB
  2. About Cricket Matches and Package Import.srt 7.63 KB
  3. Data Understanding.mp4 31.68 MB
  3. Data Understanding.srt 6.07 KB
  4. Wins and Lost Matches Analysis.mp4 69.8 MB
  4. Wins and Lost Matches Analysis.srt 12.97 KB
  5. MoM, City and Venue wise Analysis.mp4 34.02 MB
  5. MoM, City and Venue wise Analysis.srt 8.07 KB
  6. MI vs CSK Head to Head Matches.mp4 47.71 MB
  6. MI vs CSK Head to Head Matches.srt 12.81 KB
  7. Seasonwise Analysis.mp4 19.75 MB
  7. Seasonwise Analysis.srt 5.02 KB
  8. Ball by Ball Analysis.mp4 61 MB
  8. Ball by Ball Analysis.srt 14.23 KB
  15. Analysis and Visualization of FIFA World Cup Matches
  1. Introduction.mp4 13.11 MB
  1. Introduction.srt 1.79 KB
  10. Match Outcomes by Home and Away Teams.mp4 33.79 MB
  10. Match Outcomes by Home and Away Teams.srt 10.92 KB
  2. FIFA World Cup Data Import.mp4 29.24 MB
  2. FIFA World Cup Data Import.srt 6.6 KB
  3. Data Cleaning.mp4 82.59 MB
  3. Data Cleaning.srt 16.36 KB
  4. Most Number of World Cup Winning Title.mp4 24.26 MB
  4. Most Number of World Cup Winning Title.srt 7.15 KB
  5. Number of Goal Per Country.mp4 23.5 MB
  5. Number of Goal Per Country.srt 6.76 KB
  6. Attendance, Number of Teams, Goals, and Matches per Cup.mp4 48.1 MB
  6. Attendance, Number of Teams, Goals, and Matches per Cup.srt 12.33 KB
  7. Goals Per Team Per Word Cup.mp4 66.89 MB
  7. Goals Per Team Per Word Cup.srt 18.64 KB
  8. Matches with Highest Number of Attendance.mp4 53.21 MB
  8. Matches with Highest Number of Attendance.srt 14.73 KB
  9. Stadiums with Highest Average Attendance.mp4 37.29 MB
  9. Stadiums with Highest Average Attendance.srt 9.48 KB
  16. Python Coding in Mobile
  1. Introduction.mp4 21.51 MB
  1. Introduction.srt 7.5 KB
  2. Python in Mobile.mp4 12.44 MB
  2. Python in Mobile.srt 3.99 KB
  3. Matplotlib Plot in Mobile.mp4 21.23 MB
  3. Matplotlib Plot in Mobile.srt 7.5 KB
  4. Pandas Coding in Mobile.mp4 23.05 MB
  4. Pandas Coding in Mobile.srt 7.52 KB
  5. Seaborn Coding in Mobile.mp4 29.68 MB
  5. Seaborn Coding in Mobile.srt 8.57 KB
  2. Python Crash Course
  1. Introduction.mp4 9.09 MB
  1. Introduction.srt 2.04 KB
  10. Test Yourself.html 148 B
  11. Boolean and Comparison Operator.mp4 10.23 MB
  11. Boolean and Comparison Operator.srt 4.73 KB
  12. Logical Operator.mp4 12.6 MB
  12. Logical Operator.srt 4.73 KB
  13. Conditional Statements If Else and Elif.mp4 18.84 MB
  13. Conditional Statements If Else and Elif.srt 7.84 KB
  14. For and While Loops in Python.mp4 21.89 MB
  14. For and While Loops in Python.srt 7.28 KB
  15. Methods and Lambda Functions.mp4 16.15 MB
  15. Methods and Lambda Functions.srt 7.52 KB
  16. Test Yourself.html 148 B
  17. Do you know.html 148 B
  2. Data Types Numbers.mp4 20.51 MB
  2. Data Types Numbers.srt 9.14 KB
  3. Variable Assignment.mp4 16.45 MB
  3. Variable Assignment.srt 6.75 KB
  4. String.mp4 28.31 MB
  4. String.srt 10.72 KB
  5. Test Yourself.html 148 B
  6. List.mp4 12.82 MB
  6. List.srt 5.34 KB
  7. Set.mp4 11.5 MB
  7. Set.srt 4 KB
  8. Tuple.mp4 8.84 MB
  8. Tuple.srt 3.62 KB
  9. Dictionary.mp4 13.18 MB
  9. Dictionary.srt 4.91 KB
  3. NumPy Crash Course
  1. Introduction.mp4 8.89 MB
  1. Introduction.srt 1.04 KB
  10. Concatenate and Sorting.mp4 16.08 MB
  10. Concatenate and Sorting.srt 3.54 KB
  11. Working with Dates.mp4 13.24 MB
  11. Working with Dates.srt 3.58 KB
  12. Do you Know.html 148 B
  2. Array.mp4 41.01 MB
  2. Array.srt 11.88 KB
  3. NaN and INF.mp4 33.05 MB
  3. NaN and INF.srt 8.1 KB
  4. Statistical Operations.mp4 15.2 MB
  4. Statistical Operations.srt 3.52 KB
  5. Shape, Reshape, Ravel, Flatten.mp4 11.38 MB
  5. Shape, Reshape, Ravel, Flatten.srt 3.04 KB
  6. Test Yourself.html 148 B
  7. Sequence, Repetitions, and Random Numbers.mp4 57.19 MB
  7. Sequence, Repetitions, and Random Numbers.srt 14.13 KB
  8. Where.mp4 18.63 MB
  8. Where.srt 4.37 KB
  9. File Read and Write.mp4 28.08 MB
  9. File Read and Write.srt 6.64 KB
  4. Pandas Crash Course
  1. Introduction.mp4 7.39 MB
  1. Introduction.srt 1016 B
  2. DataFrame and Series.mp4 16.59 MB
  2. DataFrame and Series.srt 4.51 KB
  3. File Reading and Writing.mp4 42.93 MB
  3. File Reading and Writing.srt 7.73 KB
  4. Info, Shape, Duplicated, and Drop.mp4 22.91 MB
  4. Info, Shape, Duplicated, and Drop.srt 5.05 KB
  5. Columns.mp4 11.25 MB
  5. Columns.srt 2.96 KB
  6. NaN and Null Values.mp4 28.84 MB
  6. NaN and Null Values.srt 4.73 KB
  7. Imputation.mp4 21.28 MB
  7. Imputation.srt 4.73 KB
  8. Lambda Function.mp4 17.81 MB
  8. Lambda Function.srt 4.96 KB
  9. Test Yourself.html 148 B
  5. Data Visualization with Pandas
  1. Introduction.mp4 11.08 MB
  1. Introduction.srt 1.09 KB
  10. Hex and Pie Plot.mp4 59.45 MB
  10. Hex and Pie Plot.srt 12.09 KB
  11. Scatter Matrix and Subplots.mp4 42.39 MB
  11. Scatter Matrix and Subplots.srt 7.16 KB
  2. Data Generation.mp4 36.05 MB
  2. Data Generation.srt 7.97 KB
  3. Line Plot.mp4 57.22 MB
  3. Line Plot.srt 10.47 KB
  4. More on Line Plot.mp4 24.64 MB
  4. More on Line Plot.srt 4.87 KB
  5. Bar Plot.mp4 26.8 MB
  5. Bar Plot.srt 5.93 KB
  6. Stacked Plot.mp4 21.62 MB
  6. Stacked Plot.srt 5.1 KB
  7. Histogram.mp4 52.72 MB
  7. Histogram.srt 9.82 KB
  8. Box Plot.mp4 22.17 MB
  8. Box Plot.srt 8.45 KB
  9. Area and Scatter Plot.mp4 46.86 MB
  9. Area and Scatter Plot.srt 8.6 KB
  6. Matplotlib
  1. Introduction.mp4 17.52 MB
  1. Introduction.srt 2.38 KB
  10. Nested Pie Plot.mp4 59.38 MB
  10. Nested Pie Plot.srt 18.5 KB
  11. Labeling a Pie Plot.mp4 66.88 MB
  11. Labeling a Pie Plot.srt 21.42 KB
  12. Bar Chart on Polar Axis.mp4 47.43 MB
  12. Bar Chart on Polar Axis.srt 14.19 KB
  13. Line Plot on a Polar Axis.mp4 32.82 MB
  13. Line Plot on a Polar Axis.srt 7.1 KB
  14. Scatter Plot on a Polar Axis.mp4 28.84 MB
  14. Scatter Plot on a Polar Axis.srt 8.43 KB
  15. Integral in Calculus Plot as Area Under the Curve.mp4 79.7 MB
  15. Integral in Calculus Plot as Area Under the Curve.srt 22.2 KB
  16. Animation Plot Part 1.mp4 16.67 MB
  16. Animation Plot Part 1.srt 5.34 KB
  17. Animation Plot Part 2.mp4 43.85 MB
  17. Animation Plot Part 2.srt 10.59 KB
  2. Line Plot.mp4 43.99 MB
  2. Line Plot.srt 9.89 KB
  3. Label.mp4 5.2 MB
  3. Label.srt 1.48 KB
  4. Scatter, Bar, and Hist Plots.mp4 30.14 MB
  4. Scatter, Bar, and Hist Plots.srt 11.07 KB
  5. Box Plot.mp4 18.24 MB
  5. Box Plot.srt 6.2 KB
  6. Subplot.mp4 39.61 MB
  6. Subplot.srt 11.56 KB
  7. xlim, ylim, xticks, and yticks.mp4 41.39 MB
  7. xlim, ylim, xticks, and yticks.srt 9.42 KB
  8. Pie Plot.mp4 41.89 MB
  8. Pie Plot.srt 14.19 KB
  9. Pie Plot Text Color.mp4 17.46 MB
  9. Pie Plot Text Color.srt 6.21 KB
  7. Time Series Plots
  1. Dataset Loading.mp4 33.28 MB
  1. Dataset Loading.srt 10.78 KB
  2. Line and Scatter Plots.mp4 33.7 MB
  2. Line and Scatter Plots.srt 8.1 KB
  3. Subplots.mp4 42.87 MB
  3. Subplots.srt 12.37 KB
  4. Heatmap.mp4 15.86 MB
  4. Heatmap.srt 3.61 KB
  5. Histogram and KDE Plots.mp4 12.93 MB
  5. Histogram and KDE Plots.srt 5.63 KB
  8. Seaborn
  1. Introduction.mp4 13.71 MB
  1. Introduction.srt 2.4 KB
  10. Cat Plot.mp4 25.99 MB
  10. Cat Plot.srt 8.15 KB
  11. Box Plot.mp4 10.01 MB
  11. Box Plot.srt 3.3 KB
  12. Boxen Plot.mp4 19.29 MB
  12. Boxen Plot.srt 4.65 KB
  13. Violin Plot.mp4 28.35 MB
  13. Violin Plot.srt 7.16 KB
  14. Bar Plot.mp4 15.91 MB
  14. Bar Plot.srt 4.42 KB
  15. Point Plot.mp4 8.8 MB
  15. Point Plot.srt 3.32 KB
  16. Joint Plot.mp4 10.78 MB
  16. Joint Plot.srt 3.19 KB
  17. Pair Plot.mp4 22.82 MB
  17. Pair Plot.srt 5.99 KB
  18. Regression Plot.mp4 12.27 MB
  18. Regression Plot.srt 3.46 KB
  19. Controlling Plotted Figure Aesthetics.mp4 30.24 MB
  19. Controlling Plotted Figure Aesthetics.srt 6.26 KB
  2. Scatter Plot.mp4 20.7 MB
  2. Scatter Plot.srt 7.02 KB
  3. Hue, Style and Size Part 1.mp4 10.21 MB
  3. Hue, Style and Size Part 1.srt 3.3 KB
  4. Hue, Style and Size Part 2.mp4 25.46 MB
  4. Hue, Style and Size Part 2.srt 7.15 KB
  5. Line Plot Part 1.mp4 16.37 MB
  5. Line Plot Part 1.srt 4.53 KB
  6. Line Plot Part 2.mp4 47.77 MB
  6. Line Plot Part 2.srt 10.46 KB
  7. Line Plot Part 3.mp4 39.91 MB
  7. Line Plot Part 3.srt 8.97 KB
  8. Subplot.mp4 29.77 MB
  8. Subplot.srt 8.18 KB
  9. sns.lineplot(), sns.scatterplot().mp4 26.38 MB
  9. sns.lineplot(), sns.scatterplot().srt 6.72 KB
  9. Plotly and Cufflinks
  1. Introduction.mp4 8.53 MB
  1. Introduction.srt 1.25 KB
  2. Installation and Setup.mp4 27.25 MB
  2. Installation and Setup.srt 7.04 KB
  3. Line Plot.mp4 24.42 MB
  3. Line Plot.srt 5.91 KB
  4. Scatter Plot.mp4 9.73 MB
  4. Scatter Plot.srt 2.52 KB
  5. Bar Plot.mp4 26.14 MB
  5. Bar Plot.srt 6.74 KB
  6. Box Plot and Area Plot.mp4 9.17 MB
  6. Box Plot and Area Plot.srt 2.92 KB
  7. 3D Plot.mp4 25.04 MB
  7. 3D Plot.srt 4.08 KB
  8. Spread Plot and Hist Plot.mp4 11.69 MB
  8. Spread Plot and Hist Plot.srt 3.31 KB
  9. Bubble Plot and Heatmap.mp4 43.24 MB
  9. Bubble Plot and Heatmap.srt 7.47 KB

Description



Description

Are you ready to start your path to becoming a Data Scientist!

KGP Talkie brings you all in one course. Learn all kinds of Data Visualization with practical datasets.

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations!

This is a very unique course where you will learn EDA on Kaggle’s Boston Housing, Titanic and Latest Covid-19 Datasets, Text Dataset, IPL Cricket Matches of all seasons, and FIFA world cup matches with real and practical examples.

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $110,000 in the United States and all over the World according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 200+ Full HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive courses on Complete Data Visualization in Python.

We’ll teach you how to program with Python, how to analyze and create amazing data visualizations with Python! You can use this course as your ready-to-go reference for your own project.

Here just a few of the topics we will be learning:

Programming with Python
NumPy with Python
Using Pandas Data Frames to solve complex tasks
Use Pandas to Files
Use matplotlib and Seaborn for data visualizations
Use Plotly and Cufflinks for interactive visualizations
Exploratory Data Analysis (EDA) of Boston Housing Dataset
Exploratory Data Analysis (EDA) of Titanic Dataset
Exploratory Data Analysis (EDA) of Latest Covid-19 Dataset
and much, much more!

By the end of this course you will:

Have an understanding of how to program in Python.
Know how to create and manipulate arrays using numpy and Python.
Know how to use pandas to create and analyze data sets.
Know how to use matplotlib and seaborn libraries to create beautiful data visualization.
Have an amazing portfolio of python data analysis skills!
Have experience of creating a visualization of real-life projects

Enroll in the course and become a data scientist today!
Who this course is for:

Beginners python programmers.
Beginners Data Science programmers.
Students of Data Science and Machine Learning.
Anyone interested in learning more about python, data science, or data visualizations.
Anyone interested about the rapidly expanding world of data science!
Developers who want to work in analytics and visualization project.
Anyone who wants to explore and understand data before applying machine learning.

Requirements

No introductory skill level of Python programming required
Have a computer (either Mac, Windows, or Linux)
Desire to learn!

Last Updated 11/2020

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