Python Course for Beginners | Best Way to Learn Python
Python Course for Beginners | Best Way to Learn Python
In this 4th session of the 7-session Definitive Guide to Data Analytics series, we demonstrate some of the most common data manipulation and data analysis techniques in Python by walking through the building of a weather seasonality index. After downloading the files at the link below, you should be able to follow along and build your own weather seasonality index alongside the video.
Link to the Definitive Guide to Data Analytics - Session 4 (Introduction to Python) page where you can download the files used: https://valuedrivenanalytics.com/sess...
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CHAPTERS:
0:00:00 Introduction to Python for analysts
0:00:53 What analytics tools should an analyst learn?
0:01:30 What are some similarities and differences between Python, R, and SAS?
0:04:07 What is an IDE (integrated development environment) like Jupyter?
0:04:36 What are Python packages?
0:05:10 What is Anaconda?
0:05:28 How to install Anaconda for Python and Jupyter
0:05:52 How to download files from valuedrivenanalytics.com
0:07:03 Exploring datasets
0:08:50 How to launch a Jupyter Notebook and walkthrough of Jupyter interface
0:14:26 How to create a markdown cell in a Jupyter Notebook
0:15:00 How to run code in a Jupyter Notebook
0:17:19 How to use comments in a Jupyter Notebook
0:18:39 How to import a Python package
0:22:03 How to create a Python object
0:27:32 How to import a CSV file into a Pandas DataFrame
0:30:14 How to print a Python object
0:31:37 How to troubleshoot a Python error
0:34:55 How to display a Pandas DataFrame
0:37:17 How to set the number of rows to display of a Pandas DataFrame
0:42:15 How to create a Pandas DataFrame manually
0:43:55 How to refer to a column in a Pandas DataFrame
0:48:15 How to create or update a column in a Pandas DataFrame
0:50:23 How to create a Pandas DataFrame column with the numpy where function (np.where)
0:54:16 How to delete a column in a Pandas DataFrame
0:55:04 How to view the data types of all columns in a Pandas DataFrame
0:56:22 How to get summary statistics for columns in a Pandas DataFrame using .describe()
0:59:03 How to get the number of items in a Python object
1:00:47 How to get a list of the names of all columns in a Pandas DataFrame
1:01:17 How to create a list in Python
1:04:34 What is a set in a Python?
1:06:43 How to get a list of the unique / distinct values in a Pandas DataFrame column
1:08:22 How to filter a Pandas DataFrame
1:09:12 How to filter on null values in a Pandas DataFrame column
1:11:49 How to filter a Pandas DataFrame based on multiple criteria
1:15:15 How to convert a Pandas column to date type
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ABOUT VALUE DRIVEN ANALYTICS:
Value Driven Analytics is your source of rigorous, affordable, and fast analytics consulting and transformation. If you need an interactive dashboard, analysis, data science model build, automated data process, analytics or leadership training, analytics team management, analytics transformation, or 1-hour analytics consultation (troubleshooting, project advice, career advice), give us a call at 1-877-VAL-DRVN (1-877-825-3786) or learn more about our services at https://valuedrivenanalytics.com/serv...
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