Become a Python Data Analyst
Where to Watch Become a Python Data Analyst
26.
Regression - Predicting House Prices
2017-05-30
Explain how to build a regression model using a dataset containing real-world data; then evaluate the model and use it to make predictions.
Watch Become a Python Data Analyst Season 1 Episode 26 Now
25.
Classification - Predicting the Drinking Habits of Teenagers
2017-05-30
Explain how to build classification models using a dataset containing real-world data; then evaluate the model and use it to make predictions.
Watch Become a Python Data Analyst Season 1 Episode 25 Now
24.
The Scikit-Learn Library - Building a Simple Predictive Model
2017-05-30
Introduce the Scikit-Learn library and show the workflow traditionally used to build a Predictive Model with this library.
Watch Become a Python Data Analyst Season 1 Episode 24 Now
23.
Introduction to Predictive Analytics Models
2017-05-30
Present an overview of the section. Discuss the concepts of Predictive Analytics and its relationship with Machine Learning and give some characteristics of ML models.
Watch Become a Python Data Analyst Season 1 Episode 23 Now
22.
Hypothesis Testing - Do Male Teenagers Drink More Than Females?
2017-05-30
Show how to perform a chi-square test using the stats package.
Watch Become a Python Data Analyst Season 1 Episode 22 Now
21.
Hypothesis Testing - Does Alcohol Consumption Affect Academic Performance?
2017-05-30
Explain how to perform one of the most common statistical tests using the stats package.
Watch Become a Python Data Analyst Season 1 Episode 21 Now
20.
Alcohol Consumption - Confidence Intervals and Probability Calculations
2017-05-30
Show how to perform statistical calculations with the stats package like confidence intervals and probabilities of events.
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19.
SciPy and the Statistics Sub-Package
2017-05-30
Give a quick introduction to the Scipy package and all the different sub-packages it contains.
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18.
Relationships between Variables
2017-05-30
Show how to produce the main plots used to show relationships between variables.
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17.
Analysing Variables Individually
2017-05-30
Show how to analyze and make sense of individual variables depending on their type.
Watch Become a Python Data Analyst Season 1 Episode 17 Now
16.
EDA with Seaborn and Pandas
2017-05-30
Explain what Exploratory Data Analysis (EDA) is and how to perform it in a real-world dataset; in the process, introduce the Seaborn plotting library.
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15.
Common Customizations
2017-05-30
Show some of the common customizations that can be done to plots.
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14.
The Object Oriented Interface
2017-05-30
Explain how to use the Object-Oriented Interface and how it compares with the plyplot interface.
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13.
Pyplot
2017-05-30
Explain what pyplot is, how to use the pyplot interface, and its limitations.
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12.
Basics of Matplotlib
2017-05-30
Explain to the viewer what matplotlib is and the main concepts needed for using it.
Watch Become a Python Data Analyst Season 1 Episode 12 Now
10.
Answering Simple Questions about a Dataset - Part 1
2017-05-30
Show the viewer how to use pandas by doing real-world data analysis tasks and answering questions.
Watch Become a Python Data Analyst Season 1 Episode 10 Now
9.
Main Properties, Operations and Manipulations
2017-05-30
Show how to use pandas Series and DataFrames with a real-world data set.
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8.
The Pandas Library
2017-05-30
Explain what pandas is and what we can do with it. An introduction to the main objects: Series and DataFrames.
Watch Become a Python Data Analyst Season 1 Episode 8 Now
7.
Using NumPy for Simulations
2017-05-30
Introduce with an example one of the common uses of Numpy: doing simulations.
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6.
NumPy Arrays: Creation, Methods and Attributes
2017-05-30
Introduce arrays, the main objects in Numpy, and how to create and use them.
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5.
NumPy: Python's Vectorization Solution
2017-05-30
Explain what Numpy is, the problem it solves and why it is important for Python's Data Stack.
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4.
Using the Jupyter Notebook
2017-05-30
Use the Jupyter notebook for basic Python code and explain the basics of using markdown and code cells in the Jupyter Notebook.
Watch Become a Python Data Analyst Season 1 Episode 4 Now
3.
Introduction to the Jupyter Notebook
2017-05-29
Introduce the computing environment in which we will work for the rest of the course.
Watch Become a Python Data Analyst Season 1 Episode 3 Now
2.
The Anaconda Distribution
2017-05-30
Explain what Anaconda Distribution is and why we are using it in this course. Also show how to get and install the software.
Watch Become a Python Data Analyst Season 1 Episode 2 Now
1.
The Course Overview
2017-05-30
This video provides an overview of the entire course.
Watch Become a Python Data Analyst Season 1 Episode 1 Now
Become a Python Data Analyst is a series categorized as a new series. Spanning 1 seasons with a total of 25 episodes, the show debuted on 2017. The series has earned a no reviews from both critics and viewers. The IMDb score stands at undefined.
How to Watch Become a Python Data Analyst
How can I watch Become a Python Data Analyst online? Become a Python Data Analyst is available on Packt Publishing with seasons and full episodes. You can also watch Become a Python Data Analyst on demand at Amazon online.
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