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[FTUForum com] [UDEMY] Complete Data Wrangling & Data Visualisation With Python [FTU]
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How you can help Team-FTU.txt
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools
1. Welcome to the Course.mp4
1. Welcome to the Course.vtt
2.1 Data and Code.zip.zip
2. Data & Script For the Course.html
3. Python Data Science Environment.mp4
3. Python Data Science Environment.vtt
4. For Mac Users.mp4
4. For Mac Users.vtt
5. Introduction to IPythonJupyter.mp4
5. Introduction to IPythonJupyter.vtt
6. ipython in Browser.mp4
6. ipython in Browser.vtt
2. Read in Data From Different Sources With Pandas
1. What are Pandas.mp4
1. What are Pandas.vtt
2. Read CSV Data.mp4
2. Read CSV Data.vtt
3. Read Excel Data.mp4
3. Read Excel Data.vtt
4. Read in HTML Data.mp4
4. Read in HTML Data.vtt
3. Data Cleaning
1. Remove NA Values.mp4
1. Remove NA Values.vtt
2. Missing Values in a Real Dataset.mp4
2. Missing Values in a Real Dataset.vtt
3. Data Imputation.mp4
3. Data Imputation.vtt
4. Imputing Qualitative Values.mp4
4. Imputing Qualitative Values.vtt
5. Theory Behind k-NN Algorithm.mp4
5. Theory Behind k-NN Algorithm.vtt
6. Use k-NN for Data Imputation.mp4
6. Use k-NN for Data Imputation.vtt
4. Basic Data Wrangling
1. Basic Principles.mp4
1. Basic Principles.vtt
2. Preliminary Data Explorations.mp4
2. Preliminary Data Explorations.vtt
3. Basic Data Handling With Conditional Statements.mp4
3. Basic Data Handling With Conditional Statements.vtt
4. Drop ColumnRow.mp4
4. Drop ColumnRow.vtt
5. Change Column Name.mp4
5. Change Column Name.vtt
6. Change the Column Type.mp4
6. Change the Column Type.vtt
7. Explore Date Related Data.mp4
7. Explore Date Related Data.vtt
8. Simple Date Related Computations.mp4
8. Simple Date Related Computations.vtt
5. More Data Wrangling
1. Data Grouping.mp4
1. Data Grouping.vtt
2. Data Subsetting and Indexing.mp4
2. Data Subsetting and Indexing.vtt
3. More Data Subsetting.mp4
3. More Data Subsetting.vtt
4. Extract Information From Strings.mp4
4. Extract Information From Strings.vtt
5. (Fuzzy) String Matching.mp4
5. (Fuzzy) String Matching.vtt
6. Ranking & Sorting.mp4
6. Ranking & Sorting.vtt
7. Concatenate.mp4
7. Concatenate.vtt
8. Merging and Joining.mp4
8. Merging and Joining.vtt
6. Feature Selection and Transformation
1. Correlation Analysis.mp4
1. Correlation Analysis.vtt
2. Using Correlation to Decide Which Features to Retain.mp4
2. Using Correlation to Decide Which Features to Retain.vtt
3. Univariate Feature Selection.mp4
3. Univariate Feature Selection.vtt
4. Recursive Feature Elimination (RFE).mp4
4. Recursive Feature Elimination (RFE).vtt
5. Theory Behind PCA.mp4
5. Theory Behind PCA.vtt
6. Implement PCA.mp4
6. Implement PCA.vtt
7. Data Standardisation.mp4
7. Data Standardisation.vtt
8. Create a New Feature.mp4
8. Create a New Feature.vtt
7. Theory Behind Data Visualisation
1. What is Data Visualisation.mp4
1. What is Data Visualisation.vtt
2. Some Theoretical Principles Behind Data Visualisation.mp4
2. Some Theoretical Principles Behind Data Visualisation.vtt
8. Most Common Data Visualizations
1. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4
1. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt
2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4
2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt
3. Scatter plot-Relationship Between Two Numerical Variables.mp4
3. Scatter plot-Relationship Between Two Numerical Variables.vtt
4. Barplot.mp4
4. Barplot.vtt
5. Pie Chart.mp4
5. Pie Chart.vtt
6. Line Charts.mp4
6. Line Charts.vtt
7. More Line Charts.mp4
7. More Line Charts.vtt
8. Some More Plot Types.mp4
8. Some More Plot Types.vtt
9. And Some More.mp4
9. And Some More.vtt
9. Miscallaneous Information
1. Using Colabs as an Online Jupyter Notebook.mp4
1. Using Colabs as an Online Jupyter Notebook.vtt
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