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Beginning Data Science (Track)
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[TutsNode.net] - TeamTreehouse - Beginning Data Science (Track) (Size: 3.59 GB) (Files: 452)
[TutsNode.net] - TeamTreehouse - Beginning Data Science (Track)
12. Introduction to NumPy
03. Array Programming
01. New Way of Thinking.webm
02. Universal Functions.webm
Project Files
python-intro-to-numpy.zip
04. Plotting.webm
03. Routines in Action.webm
05. No Problem.webm
Introduction to NumPy.md
02. Array Organization
01. Indexing.webm
02. Boolean Array Indexing.webm
04. Manipulation.webm
Project Files
python-intro-to-numpy.zip
03. Slicing.webm
01. Meet NumPy
01. Welcome.webm
Project Files
python-intro-to-numpy.zip
03. Introducing Arrays.webm
05. Multidimensional Arrays.webm
04. Creating the Study Log.webm
02. Getting Setup.webm
13. Introduction to pandas
1. Exploring pandas
Instruction
Selecting Data.png
Optional Challenge #3 - Verified Email List.png
Optional Challenge #2 - Update Users.png
Optional Challenge #1 - Top Referrers.png
Manipulating Text.png
Grouping.png
Handling Duplicated and Missing Data.png
Manipulation Techniques.png
Exploration Methods.png
Combining DataFrames.png
3.Until Next Time.webm
0.Importing Data.webm
2.Combining DataFrames.webm
1.Manipulation.webm
0. Meet pandas
Instruction
Accessing a Series.png
Series Vectorization and Broadcasting.png
Creating a Series.png
Creating a DataFrame.png
About This Course.png
Accessing a DataFrame.png
Project Files
python-introducing-pandas-1.2.0.zip
0.Welcome.webm
2.Vectorization and Broadcasting Review.webm
1.Meet Series.webm
3.Meet DataFrames.webm
4.Onwards.webm
08. Object-Oriented Python
Object-Oriented Python.md
01. Instant Objects
Project Files
Object-Oriented+Python+2.zip
05. Design.webm
01. What Are Objects And Classes.webm
03. Methods.webm
04. Method Arguments.webm
02. Lets Make a Class!.webm
02. Inheritance
Project Files
Object-Oriented+Python+2.zip
03. Multiple Superclasses.webm
04. Family Tree.webm
01. Complex Relationships.webm
02. Super-Duper!.webm
03. Advanced Objects
Project Files
Object-Oriented+Python+2.zip
04. Subclassing Built-ins.webm
03. Emulating Built-ins.webm
06. Special Methods.webm
01. Controlling Conversion.webm
05. Constructicons.webm
02. Math.webm
04. Dice Roller
Project Files
Object-Oriented+Python+2.zip
03. Giving a Hand.webm
02. Comparing and Combining Dice.webm
01. Project Breakdown.webm
05. Where to Now.webm
04. Yatzy Scoring.webm
Beginning Data Science.md
02. Python Basics
Python Basics.md
01. Meet Python
06. Code Challenges.md
01. Welcome.webm
07. Input and Coding Style.webm
04. Syntax and Errors.webm
03. The Python Shell.webm
05. Variables.webm
02. Running Scripts.webm
03. Functions and Looping
01. Functions.webm
02. Returning Values.webm
05. While Loops.webm
03. Expecting Exceptions.webm
04. Raising Exceptions.webm
06. For Loops.webm
02. Types and Branching
01. Numeric.webm
06. Comparisons.webm
05. If, Else and Elif.webm
04. Booleans.webm
02. Strings and Operators.webm
03. String Methods.webm
04. All Together Now
05. Cleaner Code Through Refactoring.webm
04. Handle Exceptions.webm
03. Branch and Loop.webm
06. Wrapping Up.webm
01. The Project.webm
02. Gather Information.webm
15. Introduction to Data Visualization with Matplotlib
Introduction to Data Visualization with Matplotlib.md
01. Getting Started with Data Visualization
Project Files
intro_matplotlib.zip
04. Chart Types & Reasons to Use.webm
01. Welcome to Matplotlib.webm
03. The Legend of Charting.webm
02. Getting Started with Charting.webm
02. Chart Toppers
Project Files
intro_matplotlib.zip
01. Our Data Set - Flower Power.webm
03. Histogram.webm
02. Scatter Plot.webm
04. Box Plot.webm
05. Saving Your Work.webm
03. Data Eruption
Project Files
intro_matplotlib.zip
02. Decision Process.webm
01. Problem Discussion.webm
03. Problem Summary and Presentation.webm
19. Introduction to Big Data
Introduction to Big Data.md
01. What is Big Data
04. Exploring Our New Problems.webm
03. The Importance of Big Data.webm
01. Welcome.webm
02. Characteristics of Big Data.webm
02. Where and How is Big Data Used
03. Domain Data Storage.webm
04. Domain Computations.webm
02. Types of Data.webm
05. Domain Infrastructure.webm
01. Where is it Being Used.webm
03. Big Data at Netflix
01. What Problems Does Netflix Have.webm
03. Wrapping Up.webm
02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm
06. Functions, Packing, and Unpacking
Functions, Packing, and Unpacking.md
02. Getting Info In and Out of Functions
05. Function Gotchas.md
02. Functions Recap and Cheat Sheet.md
03. All About Returns.webm
04. Arguments and Parameters.webm
06. Multiple Arguments and Parameters.webm
01. Moving Forward.webm
03. Packing and Unpacking
01. Packing.webm
02. Packing, a Practical Example.webm
04. Unpacking, a Practical Example.webm
03. Unpacking.webm
01. Introduction to Functions
01. Recap of Functions.webm
04. Lets Talk About Scope.webm
02. Defining a Function.webm
03. Calling a Function.webm
17. Scraping Data From the Web
Scraping Data From the Web.md
03. Additional Scraping Tasks
04. Common Issues with Data Scraping.md
Project Files
scraping_data_from_the_web.zip
02. Scraping APIs.webm
03. Using Scrapers for Site Testing.webm
01. An Intelligent Spider.webm
05. Wrapping Up.webm
01. Introducing Data Scraping
Project Files
scraping_data_from_the_web.zip
05. Being a Good Citizen.webm
01. What is Data Scraping.webm
03. Beautiful Soup.webm
04. More Soup in the Tureen.webm
02. Web Page Anatomy.webm
02. A World Full of Spiders
04. The Endless Web.webm
Project Files
scraping_data_from_the_web.zip
01. Everyone Loves Charlotte.webm
03. Crawling Spiders.webm
02. Installing Scrapy.webm
01. Data Analysis Basics
Data Analysis Basics.md
01. Introducing Data Analysis
04. Getting Good Data is Hard.webm
02. Data is Everywhere.webm
01. Making Better Decisions with Data Analysis.webm
03. Creating a Spreadsheet.webm
Project Files
marathon_results_2017.csv
03. The Data Analysis Process
04. Presenting Your Findings.webm
01. Understanding Metrics.webm
02. Defining Terms.webm
03. Analyzing the Data.webm
02. Getting to Know Your Data
01. Summarizing Data Maximum, Minimum, Range.webm
05. Visualizing Data.webm
07. Charting Our Data Part 2.webm
04. Is Our Data Normal.webm
03. Analyzing Data Spread.webm
02. Summarizing Data Mean, Median, Mode.webm
06. Charting Our Data Part 1.webm
03. Introducing Lists
Introducing Lists.md
01. Meet Lists
04. Indexing.webm
01. Welcome.webm
05. Deletion.webm
03. Addition.webm
02. Creation.webm
03. Build an Application
01. The Application.webm
03. Display the List.webm
02. Add Items.webm
04. Wrap Up.webm
02. Using Lists
02. Mutability.webm
04. Multidimensional Lists.webm
03. Split and Join.webm
01. Iteration.webm
07. Introducing Tuples
Introducing Tuples.md
Getting to Know Tuples
04. Tuple Syntax.md
03. Tuples vs. Lists.md
02. Recap.webm
01. Introducing Tuples.webm
05. Python Sequences
Python Sequences.md
02. Sequence Operations
08. Sequence Operations Cheat Sheet.md
06. Code Samples Membership Testing, Count, and Index.md
01. Sequence Operations.webm
02. Slices.webm
05. Count and Index.webm
07. Concatenation and Multiplication.webm
03. Len, Min, and Max.webm
04. Membership Testing.webm
01. Sequence Iteration
01. Lets Chat About Sequences.webm
02. Iterating with Basic For Loops.webm
03. Iterating with Enumerate.webm
04. Iterating with Ranges.webm
20. Machine Learning Basics
Machine Learning Basics.md
03. Writing a Classifier
Project Files
ML-machine-learning-basics.zip
01. Installing scikit-learn using Anaconda.webm
02. Loading a Dataset.webm
03. Making Predictions with a Classifier.webm
04. Machine Learning Review.webm
01. Introduction to Machine Learning
02. Supervised and Unsupervised Learning.webm
01. What is Machine Learning.webm
03. Machine Learning Frameworks.webm
02. Machine Learning Vocabulary
01. Examples and Features.webm
02. Labels and Classifiers.webm
04. Introducing Dictionaries
Introducing Dictionaries.md
02. Iterating and Packing with Dictionaries
03. Unpacking with Dictionaries.md
01. Iterate over Dictionaries.webm
02. Packing with Dictionaries.webm
01. Introducing Dictionaries
01. What is a dictionary.webm
02. Dictionary Syntax and KeyValue Pairs.webm
04. Update and Mutate Dictionaries.webm
03. Accessing Keys and Values.webm
14. Preparing Data for Analysis
Preparing Data for Analysis.md
02. Data Cleaning
Project Files
preparing-data-for-analysis-student.zip
01. Cleaning A Spreadsheet.webm
04. Cleaning A CSV Part 2.webm
05. Cleaning A CSV Part 3.webm
06. Cleaning A CSV Part 4.webm
03. Cleaning A CSV.webm
02. Cleaning A Spreadsheet Part 2.webm
01. Understanding Cleaning Data
03. Bad Data Types.webm
02. Context.webm
01. What Is Cleaning Data.webm
Common Issues with Data Scraping
Common Issues with Data Scraping.md
11. Jupyter Notebooks
Jupyter Notebooks.md
03. Graphs and Charts.webm
04. Other Languages.webm
01. Installation and Creating Your First Notebook.webm
02. Running Code in Cells.webm
10. Introduction to Anaconda
Introduction to Anaconda.md
01. What is Anaconda and why use it.webm
04. miniconda.webm
02. Installing Anaconda.webm
03. Using conda to Install Packages.webm
18. Data from APIs
Data from APIs.md
01. Accessing an API with Python.webm
03. Calling the API.webm
04. Saving the Data.webm
02. Gathering Weather Data.webm
16. More Visualization
More Visualization.md
09. Learning SQL
Learning SQL.md
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