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Название Pluralsight Path - Python for Data Analysts
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01. A Primer on HTML and CSS.mp4 4.84Мб
01. A Primer on HTML and CSS.vtt 6.07Кб
01. Module Overview.mp4 2.65Мб
01. Module Overview.mp4 2.21Мб
01. Module Overview.mp4 2.18Мб
01. Module Overview.mp4 2.13Мб
01. Module Overview.mp4 2.08Мб
01. Module Overview.mp4 2.07Мб
01. Module Overview.mp4 2.04Мб
01. Module Overview.mp4 1.99Мб
01. Module Overview.mp4 1.79Мб
01. Module Overview.vtt 1.96Кб
01. Module Overview.vtt 2.14Кб
01. Module Overview.vtt 2.69Кб
01. Module Overview.vtt 1.91Кб
01. Module Overview.vtt 2.01Кб
01. Module Overview.vtt 2.36Кб
01. Module Overview.vtt 2.23Кб
01. Module Overview.vtt 2.10Кб
01. Module Overview.vtt 2.00Кб
01. Overview.mp4 923.28Кб
01. Overview.mp4 2.08Мб
01. Overview.vtt 2.30Кб
01. Overview.vtt 799б
01. Querying with SQLAlchemy.mp4 1.60Мб
01. Querying with SQLAlchemy.vtt 1.98Кб
01. Version Check.mp4 569.97Кб
01. Version Check.vtt
02. Construct a Basic Pie Chart.mp4 11.85Мб
02. Construct a Basic Pie Chart.vtt 8.83Кб
02. Demo - Defining and Invoking Custom Functions.mp4 12.81Мб
02. Demo - Defining and Invoking Custom Functions.vtt 11.71Кб
02. Exploring Popular IDEs for Python.mp4 3.73Мб
02. Exploring Popular IDEs for Python.vtt 4.74Кб
02. Introducing Big ML.mp4 3.89Мб
02. Introducing Big ML.vtt 4.11Кб
02. Introducing Google Colab.mp4 2.80Мб
02. Introducing Google Colab.vtt 2.80Кб
02. Introducing Jupyter Notebooks.mp4 5.12Мб
02. Introducing Jupyter Notebooks.vtt 5.74Кб
02. Module Overview.mp4 1.82Мб
02. Module Overview.vtt 1.86Кб
02. Picking a Database.mp4 5.44Мб
02. Picking a Database.vtt 4.05Кб
02. Plotting Histograms.mp4 7.08Мб
02. Plotting Histograms.vtt 5.76Кб
02. Prerequisites and Course Outline.mp4 1.98Мб
02. Prerequisites and Course Outline.mp4 1.81Мб
02. Prerequisites and Course Outline.mp4 1.65Мб
02. Prerequisites and Course Outline.vtt 2.26Кб
02. Prerequisites and Course Outline.vtt 1.91Кб
02. Prerequisites and Course Outline.vtt 2.56Кб
02. Transactional and Analytical Processing.mp4 8.03Мб
02. Transactional and Analytical Processing.vtt 7.21Кб
02. Understanding the HTML, CSS and Structure of Our Target Page.mp4 12.68Мб
02. Understanding the HTML, CSS and Structure of Our Target Page.vtt 6.23Кб
03. Coming up with a Strategy for a More Complicated Web Page.mp4 8.09Мб
03. Coming up with a Strategy for a More Complicated Web Page.vtt 3.53Кб
03. Connecting to Databases - Connectors and the Connection String.mp4 5.92Мб
03. Connecting to Databases - Connectors and the Connection String.vtt 5.10Кб
03. Demo - Getting Started with Big ML.mp4 3.39Мб
03. Demo - Getting Started with Big ML.vtt 2.35Кб
03. Demo - If Statements for Conditional Branching.mp4 7.95Мб
03. Demo - If Statements for Conditional Branching.vtt 6.64Кб
03. Demo - Installing and Setting up IDLE.mp4 11.24Мб
03. Demo - Installing and Setting up IDLE.vtt 7.31Кб
03. Demo - Introducing the Google Colab Interface.mp4 8.62Мб
03. Demo - Introducing the Google Colab Interface.vtt 5.50Кб
03. Demo - Passing Input Arguments to Functions.mp4 5.47Мб
03. Demo - Passing Input Arguments to Functions.vtt 4.46Кб
03. Demo - Windows Installing Anaconda and Running Jupyter Notebooks.mp4 6.71Мб
03. Demo - Windows Installing Anaconda and Running Jupyter Notebooks.vtt 4.82Кб
03. Donut and Half Pie Charts.mp4 8.88Мб
03. Donut and Half Pie Charts.vtt 7.40Кб
03. Introducing Jupyter Notebooks.mp4 8.89Мб
03. Introducing Jupyter Notebooks.vtt 10.10Кб
03. Prerequisites and Course Outline.mp4 1.69Мб
03. Prerequisites and Course Outline.vtt 2.14Кб
03. Pyramid Charts.mp4 8.36Мб
03. Pyramid Charts.vtt 6.75Кб
03. Python for Data Analysts.mp4 4.50Мб
03. Python for Data Analysts.vtt 4.80Кб
03. Python for Data Analytics.mp4 8.63Мб
03. Python for Data Analytics.vtt 8.64Кб
04. Chart, Serie, and Value Configurations.mp4 11.23Мб
04. Chart, Serie, and Value Configurations.vtt 8.49Кб
04. Demo - Colab Notebooks—Similar yet Different.mp4 4.46Мб
04. Demo - Colab Notebooks—Similar yet Different.vtt 3.64Кб
04. Demo - Configuring Data Sources and Creating Datasets.mp4 21.36Мб
04. Demo - Configuring Data Sources and Creating Datasets.vtt 11.80Кб
04. Demo - If Else Statements.mp4 12.00Мб
04. Demo - If Else Statements.vtt 9.65Кб
04. Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.mp4 13.24Мб
04. Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.vtt 5.56Кб
04. Demo - Returning Values from Functions.mp4 9.76Мб
04. Demo - Returning Values from Functions.vtt 7.60Кб
04. Demo - Running and Debugging Code with IDLE.mp4 15.68Мб
04. Demo - Running and Debugging Code with IDLE.vtt 10.16Кб
04. Demo - Windows - Installing Anaconda and Jupyter Notebooks.mp4 11.95Мб
04. Demo - Windows - Installing Anaconda and Jupyter Notebooks.vtt 8.38Кб
04. Essential Analytical Building Blocks.mp4 7.42Мб
04. Essential Analytical Building Blocks.vtt 7.62Кб
04. Python Development Environments.mp4 7.03Мб
04. Python Development Environments.vtt 7.61Кб
04. Python for Data Analysts.mp4 9.43Мб
04. Python for Data Analysts.vtt 9.64Кб
04. Querying with SQL.mp4 2.17Мб
04. Querying with SQL.vtt 1.54Кб
04. Using BeautifulSoup4 to Navigate Our Scraped Data.mp4 15.59Мб
04. Using BeautifulSoup4 to Navigate Our Scraped Data.vtt 5.26Кб
04. Visualizing Distributions with Box Plots.mp4 11.41Мб
04. Visualizing Distributions with Box Plots.vtt 8.26Кб
05. Constructing a Map Visualization.mp4 12.78Мб
05. Constructing a Map Visualization.vtt 9.80Кб
05. Defining Styles and Configs.mp4 10.69Мб
05. Defining Styles and Configs.vtt 9.35Кб
05. Demo - Data Preparation and Visualization.mp4 15.17Мб
05. Demo - Data Preparation and Visualization.vtt 9.80Кб
05. Demo - Installing Anaconda Python on MacOS.mp4 9.09Мб
05. Demo - Installing Anaconda Python on MacOS.vtt 7.50Кб
05. Demo - Installing Eclipse and Setting up the PyDev Plugin.mp4 13.34Мб
05. Demo - Installing Eclipse and Setting up the PyDev Plugin.vtt 7.06Кб
05. Demo - Installing the Python 2 Kernel along with Python 3.mp4 8.53Мб
05. Demo - Installing the Python 2 Kernel along with Python 3.vtt 4.95Кб
05. Demo - Interactive Forms.mp4 9.61Мб
05. Demo - Interactive Forms.vtt 9.08Кб
05. Demo - Reassignment of Variables within Functions.mp4 13.05Мб
05. Demo - Reassignment of Variables within Functions.vtt 8.77Кб
05. Demo - Using if with Lists and Dictionary Elements.mp4 5.29Мб
05. Demo - Using if with Lists and Dictionary Elements.vtt 3.89Кб
05. Demo - Windows - Installing Jupyter Notebooks Using Pip.mp4 10.76Мб
05. Demo - Windows - Installing Jupyter Notebooks Using Pip.vtt 6.74Кб
05. Extracting Information from a Scraped Division.mp4 9.15Мб
05. Extracting Information from a Scraped Division.vtt 4.24Кб
05. Object-relational Mapper (ORM) and Classical Mapping.mp4 5.59Мб
05. Object-relational Mapper (ORM) and Classical Mapping.vtt 5.24Кб
05. Python Packages.mp4 6.37Мб
05. Python Packages.vtt 6.11Кб
05. Python Resources for Analysts.mp4 6.77Мб
05. Python Resources for Analysts.vtt 7.90Кб
06. Demo - Accessing Google Drive Contents from Colab.mp4 4.96Мб
06. Demo - Accessing Google Drive Contents from Colab.vtt 3.48Кб
06. Demo - Executing Code in Jupyter.mp4 6.60Мб
06. Demo - Executing Code in Jupyter.vtt 5.90Кб
06. Demo - Exploring Online Resources.mp4 24.22Мб
06. Demo - Exploring Online Resources.vtt 9.49Кб
06. Demo - If-elif for Multiple Conditional Checks.mp4 6.35Мб
06. Demo - If-elif for Multiple Conditional Checks.vtt 4.56Кб
06. Demo - Installing Anaconda Python on Windows.mp4 8.91Мб
06. Demo - Installing Anaconda Python on Windows.vtt 6.21Кб
06. Demo - MacOS - Installing Anaconda and Jupyter Notebooks.mp4 14.80Мб
06. Demo - MacOS - Installing Anaconda and Jupyter Notebooks.vtt 8.25Кб
06. Demo - Modification of Complex Types within Functions.mp4 6.78Мб
06. Demo - Modification of Complex Types within Functions.vtt 4.67Кб
06. Demo - Running and Debugging Code with Eclipse.mp4 18.37Мб
06. Demo - Running and Debugging Code with Eclipse.vtt 9.60Кб
06. Demo - Splitting into Training and Test Subsets.mp4 4.91Мб
06. Demo - Splitting into Training and Test Subsets.vtt 2.63Кб
06. Demo - Windows - Installing Python and Using Pip to Install Packages.mp4 8.27Мб
06. Demo - Windows - Installing Python and Using Pip to Install Packages.vtt 6.10Кб
06. Generating Radar Plots.mp4 13.12Мб
06. Generating Radar Plots.vtt 9.75Кб
06. Introducing Line and Datetimeline Charts.mp4 10.17Мб
06. Introducing Line and Datetimeline Charts.vtt 7.72Кб
06. The Declarative API.mp4 10.92Мб
06. The Declarative API.vtt 9.21Кб
06. Using Selectors as an Alternative to the Find Method.mp4 6.10Мб
06. Using Selectors as an Alternative to the Find Method.vtt 3.60Кб
07. Advice and Strategy for Scraping.mp4 2.01Мб
07. Advice and Strategy for Scraping.vtt 2.67Кб
07. Constructing a Funnel Visualization.mp4 7.92Мб
07. Constructing a Funnel Visualization.vtt 5.84Кб
07. Demo - Building Models.mp4 12.31Мб
07. Demo - Building Models.vtt 7.89Кб
07. Demo - Installing and Setting up PyCharm.mp4 11.39Мб
07. Demo - Installing and Setting up PyCharm.vtt 6.60Кб
07. Demo - Invoking Functions with Keyword Arguments.mp4 10.57Мб
07. Demo - Invoking Functions with Keyword Arguments.vtt 8.29Кб
07. Demo - Iterating over List Elements Using a For Loop.mp4 8.11Мб
07. Demo - Iterating over List Elements Using a For Loop.vtt 7.11Кб
07. Demo - MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Instal.mp4 13.64Мб
07. Demo - MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Instal.vtt 5.80Кб
07. Demo - MacOS - Using Brew to Install Python 3.mp4 9.30Мб
07. Demo - MacOS - Using Brew to Install Python 3.vtt 5.53Кб
07. Demo - Restarting and Switching Kernels.mp4 9.62Мб
07. Demo - Restarting and Switching Kernels.vtt 6.69Кб
07. Demo - Simple Expressions.mp4 11.00Мб
07. Demo - Simple Expressions.vtt 9.42Кб
07. Demo - Widgets.mp4 10.59Мб
07. Demo - Widgets.vtt 8.22Кб
07. More Querying and Database Functions.mp4 11.98Мб
07. More Querying and Database Functions.vtt 6.69Кб
07. Plotting Real Data with Line and Dateline Charts.mp4 9.38Мб
07. Plotting Real Data with Line and Dateline Charts.vtt 6.67Кб
07. Workflows in Data Analytics.mp4 7.50Мб
07. Workflows in Data Analytics.vtt 7.79Кб
08. Building the Scraper Module Using PyCharm.mp4 14.68Мб
08. Building the Scraper Module Using PyCharm.vtt 6.15Кб
08. Creating Gauge Plots.mp4 10.19Мб
08. Creating Gauge Plots.vtt 7.81Кб
08. Demo - Assigning Default Values for Input Arguments.mp4 5.50Мб
08. Demo - Assigning Default Values for Input Arguments.vtt 3.67Кб
08. Demo - Building a Regression Model.mp4 11.70Мб
08. Demo - Building a Regression Model.vtt 8.50Кб
08. Demo - Cleaning Data.mp4 11.14Мб
08. Demo - Cleaning Data.vtt 8.28Кб
08. Demo - Evaluating Models.mp4 4.54Мб
08. Demo - Evaluating Models.vtt 2.62Кб
08. Demo - Exploring Magic Commands.mp4 9.75Мб
08. Demo - Exploring Magic Commands.vtt 7.25Кб
08. Demo - Logical Operations.mp4 8.47Мб
08. Demo - Logical Operations.vtt 6.78Кб
08. Demo - MacOS - Using Pip to Install Packages.mp4 7.68Мб
08. Demo - MacOS - Using Pip to Install Packages.vtt 5.95Кб
08. Demo - Running and Debugging Code with PyCharm.mp4 18.44Мб
08. Demo - Running and Debugging Code with PyCharm.vtt 9.29Кб
08. Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.mp4 9.73Мб
08. Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.vtt 7.50Кб
08. Demo - Using For Loops with the Range Function.mp4 5.24Мб
08. Demo - Using For Loops with the Range Function.vtt 4.58Кб
08. Introducing XY Plots.mp4 6.83Мб
08. Introducing XY Plots.vtt 5.71Кб
08. Using Joins.mp4 2.06Мб
08. Using Joins.vtt 1.79Кб
09. Dealing with Missing Data during the Scrape.mp4 9.31Мб
09. Dealing with Missing Data during the Scrape.vtt 2.00Кб
09. Demo - Batch and Individual Predictions.mp4 14.15Мб
09. Demo - Batch and Individual Predictions.vtt 8.04Кб
09. Demo - First Class Functions.mp4 12.12Мб
09. Demo - First Class Functions.vtt 9.75Кб
09. Demo - Installing and Working with Virtual Environments.mp4 7.27Мб
09. Demo - Installing and Working with Virtual Environments.vtt 5.17Кб
09. Demo - Integrating with Github.mp4 5.88Мб
09. Demo - Integrating with Github.vtt 3.21Кб
09. Demo - Iterating over Dictionary Elements Using a For Loop.mp4 3.94Мб
09. Demo - Iterating over Dictionary Elements Using a For Loop.vtt 3.11Кб
09. Demo - Line Magic and Cell Magic Commands.mp4 8.13Мб
09. Demo - Line Magic and Cell Magic Commands.vtt 6.08Кб
09. Demo - MacOS - Installing Jupyter Lab Using Pip.mp4 12.84Мб
09. Demo - MacOS - Installing Jupyter Lab Using Pip.vtt 7.28Кб
09. Demo - Summary Statistics and Basic Analysis.mp4 4.94Мб
09. Demo - Summary Statistics and Basic Analysis.vtt 3.57Кб
09. Demo - Variables.mp4 9.89Мб
09. Demo - Variables.vtt 8.32Кб
09. Demo - Working with Spyder.mp4 18.30Мб
09. Demo - Working with Spyder.vtt 9.46Кб
09. Exploring Real Data with XY Plots.mp4 12.79Мб
09. Exploring Real Data with XY Plots.vtt 9.21Кб
09. Solid Gauge Plots.mp4 7.01Мб
09. Solid Gauge Plots.vtt 5.82Кб
09. Working with Hierarchical Tables.mp4 3.39Мб
09. Working with Hierarchical Tables.vtt 2.86Кб
1 23б
1. Course and Module Introduction.mp4 2.73Мб
1. Course and Module Introduction.vtt 2.68Кб
1. Course Overview.mp4 4.55Мб
1. Course Overview.mp4 4.36Мб
1. Course Overview.mp4 4.30Мб
1. Course Overview.mp4 4.22Мб
1. Course Overview.mp4 4.16Мб
1. Course Overview.mp4 3.97Мб
1. Course Overview.mp4 3.88Мб
1. Course Overview.mp4 3.69Мб
1. Course Overview.mp4 3.47Мб
1. Course Overview.mp4 3.31Мб
1. Course Overview.mp4 3.14Мб
1. Course Overview.vtt 2.84Кб
1. Course Overview.vtt 2.64Кб
1. Course Overview.vtt 2.93Кб
1. Course Overview.vtt 3.17Кб
1. Course Overview.vtt 2.28Кб
1. Course Overview.vtt 2.99Кб
1. Course Overview.vtt 2.81Кб
1. Course Overview.vtt 2.63Кб
1. Course Overview.vtt 2.43Кб
1. Course Overview.vtt 2.42Кб
1. Course Overview.vtt 2.31Кб
1. Creating Databases with SQLAlchemy.mp4 1.46Мб
1. Creating Databases with SQLAlchemy.vtt 1.70Кб
1. Exporting Scraped Data to a CSV File.mp4 7.79Мб
1. Exporting Scraped Data to a CSV File.vtt 3.29Кб
1. Final Takeaway.mp4 3.04Мб
1. Final Takeaway.mp4 2.85Мб
1. Final Takeaway.vtt 3.22Кб
1. Final Takeaway.vtt 3.02Кб
1. General Strategies for Scraping Web Pages.mp4 3.42Мб
1. General Strategies for Scraping Web Pages.vtt 3.78Кб
1. Importing CSV Data into Python Using csv and pandas.mp4 1.54Мб
1. Importing CSV Data into Python Using csv and pandas.vtt 1.21Кб
1. Importing Data into Python from Common Binary Data File Formats.mp4 1.07Мб
1. Importing Data into Python from Common Binary Data File Formats.vtt 1.21Кб
1. Importing Data into Python from Excel Files.mp4 1.80Мб
1. Importing Data into Python from Excel Files.vtt 2.08Кб
1. Importing Data into Python from JSON and XML Files.mp4 2.62Мб
1. Importing Data into Python from JSON and XML Files.vtt 1.91Кб
1. Importing Data into Python from Relational Databases.mp4 1.77Мб
1. Importing Data into Python from Relational Databases.vtt 1.45Кб
1. Importing Text Data into Python Using NumPy.mp4 15.31Мб
1. Importing Text Data into Python Using NumPy.vtt 8.04Кб
1. Improving Your Productivity Programming in Python with an IDE.mp4 21.35Мб
1. Improving Your Productivity Programming in Python with an IDE.vtt 13.87Кб
1. Introduction.mp4 3.55Мб
1. Introduction.mp4 2.67Мб
1. Introduction.mp4 2.21Мб
1. Introduction.mp4 1.56Мб
1. Introduction.vtt 4.02Кб
1. Introduction.vtt 3.21Кб
1. Introduction.vtt 3.13Кб
1. Introduction.vtt 1.99Кб
1. Leveraging a Python IDE for Data Science.mp4 4.24Мб
1. Leveraging a Python IDE for Data Science.vtt 4.20Кб
1. Manipulating Databases with SQLAlchemy.mp4 1.20Мб
1. Manipulating Databases with SQLAlchemy.vtt 1.54Кб
1. Module Introduction.mp4 1.69Мб
1. Module Introduction.mp4 1.59Мб
1. Module Introduction.mp4 1.36Мб
1. Module Introduction.mp4 1.16Мб
1. Module Introduction.vtt 1.14Кб
1. Module Introduction.vtt 1.73Кб
1. Module Introduction.vtt 1.71Кб
1. Module Introduction.vtt 1.22Кб
1. Module Overview.mp4 3.17Мб
1. Module Overview.mp4 2.41Мб
1. Module Overview.mp4 2.15Мб
1. Module Overview.mp4 2.08Мб
1. Module Overview.mp4 2.03Мб
1. Module Overview.mp4 1.91Мб
1. Module Overview.vtt 2.69Кб
1. Module Overview.vtt 2.06Кб
1. Module Overview.vtt 1.92Кб
1. Module Overview.vtt 2.19Кб
1. Module Overview.vtt 2.17Кб
1. Module Overview.vtt 3.51Кб
1. Overview.mp4 2.18Мб
1. Overview.mp4 1.24Мб
1. Overview.vtt 1.98Кб
1. Overview.vtt 1.32Кб
1. Programming Python Using an IDE! But Why And Which One.mp4 18.67Мб
1. Programming Python Using an IDE! But Why And Which One.vtt 8.15Кб
1. Up and Running with SQLAlchemy.mp4 3.81Мб
1. Up and Running with SQLAlchemy.vtt 4.10Кб
10 651.15Кб
10. Constructing a Dot Plot.mp4 12.80Мб
10. Constructing a Dot Plot.vtt 9.98Кб
10. Demo - Basic Types and Type Conversions.mp4 7.52Мб
10. Demo - Basic Types and Type Conversions.vtt 6.72Кб
10. Demo - Clustering.mp4 11.78Мб
10. Demo - Clustering.vtt 7.92Кб
10. Demo - Conditional Looping Using While Loops.mp4 14.14Мб
10. Demo - Conditional Looping Using While Loops.vtt 12.33Кб
10. Demo - Editing a Python Script Using Nano and Vim.mp4 5.40Мб
10. Demo - Editing a Python Script Using Nano and Vim.vtt 5.19Кб
10. Demo - Exploring Interactive Widgets.mp4 8.76Мб
10. Demo - Exploring Interactive Widgets.vtt 5.89Кб
10. Demo - Visualizing Relationships in Data.mp4 9.62Мб
10. Demo - Visualizing Relationships in Data.vtt 6.26Кб
10. Module Summary.mp4 2.03Мб
10. Module Summary.mp4 1.99Мб
10. Module Summary.mp4 1.99Мб
10. Module Summary.vtt 2.30Кб
10. Module Summary.vtt 2.27Кб
10. Module Summary.vtt 2.25Кб
10. Refactoring Our Code and Caching Our Scraped Data.mp4 9.81Мб
10. Refactoring Our Code and Caching Our Scraped Data.vtt 2.46Кб
10. Summary.mp4 1020.47Кб
10. Summary.vtt 931б
10. Summary and Further Study.mp4 2.35Мб
10. Summary and Further Study.vtt 2.56Кб
10. Takeaway.mp4 1.92Мб
10. Takeaway.vtt 2.14Кб
100 60.70Кб
101 72.70Кб
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105 244.37Кб
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109 390.75Кб
11 663.92Кб
11. Adding a Test to Verify Our Regular Expression Processing.mp4 14.02Мб
11. Adding a Test to Verify Our Regular Expression Processing.vtt 8.22Кб
11. Demo - Anomaly Detection.mp4 7.97Мб
11. Demo - Anomaly Detection.vtt 4.22Кб
11. Demo - Break.mp4 7.56Мб
11. Demo - Break.vtt 6.61Кб
11. Demo - Editing a Python Script Using SublimeText.mp4 6.71Мб
11. Demo - Editing a Python Script Using SublimeText.vtt 4.52Кб
11. Demo - Sharing Visualizations Online Using Plotly.mp4 12.55Мб
11. Demo - Sharing Visualizations Online Using Plotly.vtt 6.81Кб
11. Demo - Simple Strings and Multi-line Strings.mp4 6.51Мб
11. Demo - Simple Strings and Multi-line Strings.vtt 5.66Кб
11. Demo - Wrangling and Visualizing Data.mp4 10.37Мб
11. Demo - Wrangling and Visualizing Data.vtt 7.53Кб
11. Representing Negative Values in a Dot Plot.mp4 4.28Мб
11. Representing Negative Values in a Dot Plot.vtt 3.60Кб
110 397.12Кб
111 502.14Кб
112 585.32Кб
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114 665.17Кб
115 678.57Кб
116 703.91Кб
117 720.75Кб
118 747.49Кб
119 748.58Кб
12 357.34Кб
12. Building a Treemap Visualization.mp4 11.25Мб
12. Building a Treemap Visualization.vtt 9.49Кб
12. Demo - Continue and Pass.mp4 7.29Мб
12. Demo - Continue and Pass.vtt 6.28Кб
12. Demo - Prototyping a Classifier.mp4 5.56Мб
12. Demo - Prototyping a Classifier.vtt 4.42Кб
12. Demo - Using Online Editors to Write Python Code.mp4 7.02Мб
12. Demo - Using Online Editors to Write Python Code.vtt 5.68Кб
12. Module Summary.mp4 2.20Мб
12. Module Summary.mp4 2.01Мб
12. Module Summary.mp4 1.80Мб
12. Module Summary.vtt 2.26Кб
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13. Demo - Writing a Python Script for a Classification Model.mp4 15.20Мб
13. Demo - Writing a Python Script for a Classification Model.vtt 11.91Кб
13. Module Summary.mp4 2.34Мб
13. Module Summary.mp4 1.89Мб
13. Module Summary.vtt 2.38Кб
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2. Creating Databases.mp4 3.22Мб
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2. Customizing IDEs.mp4 22.75Мб
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2. Demo - Analyzing and Visualizing Data.mp4 14.82Мб
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2. Demo - Exploring the Notebook Interface.mp4 12.16Мб
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2. Demo - Introducing Built-in Functions.mp4 11.45Мб
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2. Demo - Working with the Math Module.mp4 5.22Мб
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2. Direct Filtering with Square Brackets.mp4 9.27Мб
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2. Dropping Columns.mp4 11.10Мб
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2. Getting a Data Overview with Pandas.mp4 6.35Мб
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2. Importing CSV Files Using the Python csv Module.mp4 17.37Мб
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2. Importing Data into Python from JSON Using the JSON Library.mp4 39.38Мб
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2. Importing Excel Files Using pandas.mp4 22.44Мб
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2. Installing and Importing SQLAlchemy.mp4 5.83Мб
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2. Introduction to Data Reshaping.mp4 3.70Мб
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2. Jupyter on the Cloud.mp4 5.61Мб
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2. Leveraging Data Science and Scientific Tools in PyCharm.mp4 5.38Мб
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2. Normalizing Data - What and Why.mp4 3.13Мб
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2. One-hot Encoding.mp4 3.74Мб
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2. Rendering Charts to Image Files.mp4 15.55Мб
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2. Reviewing Our Target Auto-MPG Web Page.mp4 11.63Мб
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2. Running Hosted Jupyter Notebooks on the Cloud.mp4 5.95Мб
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2. Updating Data in a Database.mp4 6.60Мб
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3. Concatenating Datasets.mp4 11.55Мб
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3. Correlated Updates.mp4 1.73Мб
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3. Creating Tables.mp4 4.92Мб
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3. Data Indexing with .loc.mp4 8.56Мб
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3. Demo - Convert Categorical Values Using One-hot Encoding.mp4 6.14Мб
3. Demo - Convert Categorical Values Using One-hot Encoding.vtt 4.03Кб
3. Demo - Creating and Working with Notebook Instances on Amazon SageMaker.mp4 13.42Мб
3. Demo - Creating and Working with Notebook Instances on Amazon SageMaker.vtt 8.48Кб
3. Demo - Exploring Interactive Widgets.mp4 14.77Мб
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3. Demo - Getting Started with Azure Notebooks.mp4 9.26Мб
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3. Demo - Introducing NumPy.mp4 7.92Мб
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3. Demo - Restarting the Kernel.mp4 8.91Мб
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3. Demo - String Functions, Return Values, and Nested Function Invocations.mp4 10.92Мб
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3. Demo - Why and How to Use the GroupBy Function.mp4 8.62Мб
3. Demo - Why and How to Use the GroupBy Function.vtt 5.40Кб
3. Exploratory Data Analysis Strategy.mp4 8.29Мб
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3. Features That Improve Productivity Coding with an IDE.mp4 19.65Мб
3. Features That Improve Productivity Coding with an IDE.vtt 10.80Кб
3. Importing Data into Python from XML Using the ElementTree XML API.mp4 17.70Мб
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3. Importing Text and CSV Files Using pandas.mp4 36.17Мб
3. Importing Text and CSV Files Using pandas.vtt 23.66Кб
3. Loading Data Using SQLAlchemy.mp4 6.59Мб
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3. Overview of Available Code Editors for Python.mp4 28.95Мб
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3. Reading Stata Files with pandas.mp4 5.16Мб
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3. Rendering Charts to Specialized Formats.mp4 15.77Мб
3. Rendering Charts to Specialized Formats.vtt 5.63Кб
3. Replacing Bad Data with NaN.mp4 13.03Мб
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3. Reshape Long Data to Wide Data with the Pivot Function.mp4 6.10Мб
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3. Simple Feature Scaling.mp4 3.48Мб
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3. Taking Advantage of pandas DataFrames When Querying sqlite.mp4 3.41Мб
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3. The Complicated Difference between Dynamic and Static Web Pages.mp4 6.01Мб
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3. Vector and Raster Images.mp4 7.75Мб
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3. Working with an IDE Built for Scientific Python - Spyder.mp4 4.86Мб
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4. Configuring Python Features for Specific Code Editors.mp4 29.73Мб
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4. Create Dummy Variables with Pandas.mp4 4.87Мб
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4. Deleting Data from a Database.mp4 3.41Мб
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4. Demo - Adding Interactivity to Custom Functions.mp4 14.20Мб
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4. Demo - Analyzing and Visualizing Data on Azure Notebooks.mp4 17.90Мб
4. Demo - Analyzing and Visualizing Data on Azure Notebooks.vtt 7.12Кб
4. Demo - Customizing Shortcuts.mp4 9.51Мб
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4. Demo - Introducing Lists.mp4 8.94Мб
4. Demo - Introducing Lists.vtt 7.78Кб
4. Demo - Introducing Pandas.mp4 4.48Мб
4. Demo - Introducing Pandas.vtt 3.65Кб
4. Demo - Uploading Notebooks to SageMaker and Using the Terminal Window.mp4 8.63Мб
4. Demo - Uploading Notebooks to SageMaker and Using the Terminal Window.vtt 3.43Кб
4. Filling Missing Data with a Value.mp4 5.39Мб
4. Filling Missing Data with a Value.vtt 2.00Кб
4. Filter and Transform with GroupBy.mp4 5.47Мб
4. Filter and Transform with GroupBy.vtt 3.57Кб
4. Merging Datasets.mp4 6.99Мб
4. Merging Datasets.vtt 6.00Кб
4. Min-max Scaling.mp4 3.44Мб
4. Min-max Scaling.vtt 2.35Кб
4. Normalizing Data.mp4 8.05Мб
4. Normalizing Data.vtt 3.99Кб
4. Organizing, Navigating, Refactoring, and Styling Code.mp4 31.56Мб
4. Organizing, Navigating, Refactoring, and Styling Code.vtt 13.31Кб
4. Primary Keys, Constraints, and Data Defaults.mp4 9.35Мб
4. Primary Keys, Constraints, and Data Defaults.vtt 7.69Кб
4. PyQuery and Pygal.mp4 12.83Мб
4. PyQuery and Pygal.vtt 6.74Кб
4. Reading HDF5 Files.mp4 6.54Мб
4. Reading HDF5 Files.vtt 3.97Кб
4. Renaming Columns.mp4 10.31Мб
4. Renaming Columns.vtt 4.12Кб
4. Reshape Wide Data to Long Using the Melt Function.mp4 3.58Мб
4. Reshape Wide Data to Long Using the Melt Function.vtt 2.61Кб
4. Reviewing Our Hypothesis.mp4 6.35Мб
4. Reviewing Our Hypothesis.vtt 5.60Кб
4. The SVG Format.mp4 4.46Мб
4. The SVG Format.vtt 5.50Кб
4. Using .iloc to Access Specific Rows or Columns.mp4 9.93Мб
4. Using .iloc to Access Specific Rows or Columns.vtt 3.96Кб
4. Using Jupyter Notebook for Data Science.mp4 8.06Мб
4. Using Jupyter Notebook for Data Science.vtt 5.20Кб
4. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.mp4 4.21Мб
4. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.vtt 4.15Кб
4. Working with Databases Using SQLAlchemy.mp4 8.11Мб
4. Working with Databases Using SQLAlchemy.vtt 6.97Кб
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5. Building Sparklines.mp4 5.41Мб
5. Building Sparklines.vtt 4.95Кб
5. Create Frequency Table with the Crosstab Function.mp4 7.88Мб
5. Create Frequency Table with the Crosstab Function.vtt 5.55Кб
5. Deleting Tables.mp4 1.97Мб
5. Deleting Tables.vtt 2.23Кб
5. Demo - Exploring and Working with Azure Notebooks.mp4 9.94Мб
5. Demo - Exploring and Working with Azure Notebooks.vtt 5.06Кб
5. Demo - Grouping Multi-index Data.mp4 4.42Мб
5. Demo - Grouping Multi-index Data.vtt 2.99Кб
5. Demo - List Slicing Operations and List Functions.mp4 7.78Мб
5. Demo - List Slicing Operations and List Functions.vtt 6.49Кб
5. Demo - Notebook Limits and Shutting down Kernels.mp4 9.27Мб
5. Demo - Notebook Limits and Shutting down Kernels.vtt 6.34Кб
5. Demo - Save, Checkpoint, and Export Notebooks.mp4 4.10Мб
5. Demo - Save, Checkpoint, and Export Notebooks.vtt 3.74Кб
5. Demo - Setting up and Connecting to Cloud Datalab on the GCP.mp4 14.51Мб
5. Demo - Setting up and Connecting to Cloud Datalab on the GCP.vtt 8.46Кб
5. Demo - Working with the Command Line Processes and Environment Variables.mp4 16.28Мб
5. Demo - Working with the Command Line Processes and Environment Variables.vtt 10.75Кб
5. Dropping Rows of Data.mp4 9.34Мб
5. Dropping Rows of Data.vtt 5.10Кб
5. Filtering Data with str.contains.mp4 12.59Мб
5. Filtering Data with str.contains.vtt 5.19Кб
5. Importing Data from Relational Databases with pandas (MySQL).mp4 8.52Мб
5. Importing Data from Relational Databases with pandas (MySQL).vtt 5.94Кб
5. Inserting Data - Single and Multiple Rows.mp4 6.14Мб
5. Inserting Data - Single and Multiple Rows.vtt 5.86Кб
5. Install Pygal.mp4 8.33Мб
5. Install Pygal.vtt 8.45Кб
5. Investigating Relationships between MPG and Weight.mp4 7.40Мб
5. Investigating Relationships between MPG and Weight.vtt 5.20Кб
5. Merge Keys.mp4 4.93Мб
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5. Reading Matlab Files.mp4 3.09Мб
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5. Reshape Data Using the Stack and Unstack Functions.mp4 4.15Мб
5. Reshape Data Using the Stack and Unstack Functions.vtt 3.40Кб
5. Review.mp4 2.23Мб
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5. Running and Debugging Python Code with an IDE.mp4 26.30Мб
5. Running and Debugging Python Code with an IDE.vtt 18.06Кб
5. Takeaway.mp4 2.70Мб
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5. Transforming Data.mp4 8.25Мб
5. Transforming Data.vtt 4.13Кб
5. Using Apache Zeppelin for Data Science.mp4 4.84Мб
5. Using Apache Zeppelin for Data Science.vtt 2.55Кб
5. Visualizing and Graphing Data with Matplotlib.mp4 5.42Мб
5. Visualizing and Graphing Data with Matplotlib.vtt 5.12Кб
5. Z-score Normalization.mp4 3.56Мб
5. Z-score Normalization.vtt 2.93Кб
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6. Building a Flask App to Render Pygal Charts.mp4 10.55Мб
6. Building a Flask App to Render Pygal Charts.vtt 8.55Кб
6. Cloudera Data Science Workbench for Data Science at Scale.mp4 10.29Мб
6. Cloudera Data Science Workbench for Data Science at Scale.vtt 6.39Кб
6. Demo - Building a Simple Regression Model on Datalab.mp4 11.84Мб
6. Demo - Building a Simple Regression Model on Datalab.vtt 9.19Кб
6. Demo - Concatenating and Copying Lists.mp4 4.44Мб
6. Demo - Concatenating and Copying Lists.vtt 3.50Кб
6. Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.mp4 10.89Мб
6. Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.vtt 6.95Кб
6. Demo - Reading the Contents of a File.mp4 8.78Мб
6. Demo - Reading the Contents of a File.vtt 7.38Кб
6. Demo - Share Notebooks on Github.mp4 14.86Мб
6. Demo - Share Notebooks on Github.vtt 7.41Кб
6. Demo - Using Python 2 and Python 3 Kernels.mp4 10.34Мб
6. Demo - Using Python 2 and Python 3 Kernels.vtt 6.35Кб
6. Filtering Data.mp4 7.01Мб
6. Filtering Data.vtt 3.14Кб
6. Identifying and Dropping Duplicate Data.mp4 15.06Мб
6. Identifying and Dropping Duplicate Data.vtt 6.97Кб
6. Integrating with Version Control Using an IDE.mp4 25.84Мб
6. Integrating with Version Control Using an IDE.vtt 13.68Кб
6. Interacting with Pygal Charts.mp4 11.28Мб
6. Interacting with Pygal Charts.vtt 7.82Кб
6. Loading a CSV into a Table.mp4 2.76Мб
6. Loading a CSV into a Table.vtt 2.63Кб
6. Points to Consider for Data Normalization and Summary.mp4 3.60Мб
6. Points to Consider for Data Normalization and Summary.vtt 3.14Кб
6. Reading Pickle Files.mp4 7.09Мб
6. Reading Pickle Files.vtt 4.05Кб
6. Reshaping and Aggregation with Pivot Table.mp4 3.47Мб
6. Reshaping and Aggregation with Pivot Table.vtt 2.57Кб
6. Review.mp4 2.54Мб
6. Review.vtt 2.29Кб
6. Summary and Feedback.mp4 1.80Мб
6. Summary and Feedback.vtt 1.83Кб
6. Takeaway.mp4 1.42Мб
6. Takeaway.mp4 1.40Мб
6. Takeaway.vtt 1.61Кб
6. Takeaway.vtt 1.84Кб
6. The How Parameter.mp4 5.23Мб
6. The How Parameter.vtt 4.54Кб
6. Understanding How Cylinders and Displacement Are Related.mp4 3.66Мб
6. Understanding How Cylinders and Displacement Are Related.vtt 2.71Кб
6. Working with PostgreSQL with psycopg2 and SQLAlchemy.mp4 3.77Мб
6. Working with PostgreSQL with psycopg2 and SQLAlchemy.vtt 3.41Кб
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7. Demo - Disambiguating Merged Columns and Updating Dataframes.mp4 3.29Мб
7. Demo - Disambiguating Merged Columns and Updating Dataframes.vtt 2.68Кб
7. Demo - Introducing Tuples.mp4 7.36Мб
7. Demo - Introducing Tuples.vtt 6.41Кб
7. Demo - Overwriting and Appending Content to a File.mp4 9.98Мб
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