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Complete PYTHON Tutorial for Data Science - Start with PANDAS and Analyze Data - For Beginners
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Download and Install Python, learn Numpy, Pandas, Joins, Unions, MatPlotLib, Seaborn and Machine Learning. Step by step Python tutorial for beginners in data science and data analytics. Learn how to code in python with real life, practical examples. We provide the raw data and code. Hope you enjoy this video!
Data Analytics Course Link:
Raw Data and Code:
Video 1 – Down and Install Python – Numpy Tutorial:
Video 2 – Pandas Tutorial:
Video 3 – JOINs and UNIONs Tutorial:
Video 4 – Data Visualizations with MatPlotLib:
Video 5 - Data Visualizations with Seaborn:
Table of content:
- How to learn Python as a beginner in data science and data analytics
- How to download and install Python
- How to download and install jupyter notebook
- How to get started with Python
- Numpy Tutorial for beginners
- How to shape data in Python
- How to filter data in Python
- How to apply calculations in Python
- Importing / installing packages
- Creating Arrays
- Arrays from lists
- Appending an Array
- Array indexing
- Array datatypes
- Array Maths
- Reshape & Transpose
- Broadcasting
- How to use Pandas in Python
- Why use pandas in python
- Pandas index
- Pandas arrays
- Pandas dataframes
-
Yiannis Pitsillides on Social Media:
Data Analytics Course Link:
Raw Data and Code:
Video 1 – Down and Install Python – Numpy Tutorial:
Video 2 – Pandas Tutorial:
Video 3 – JOINs and UNIONs Tutorial:
Video 4 – Data Visualizations with MatPlotLib:
Video 5 - Data Visualizations with Seaborn:
Table of content:
- How to learn Python as a beginner in data science and data analytics
- How to download and install Python
- How to download and install jupyter notebook
- How to get started with Python
- Numpy Tutorial for beginners
- How to shape data in Python
- How to filter data in Python
- How to apply calculations in Python
- Importing / installing packages
- Creating Arrays
- Arrays from lists
- Appending an Array
- Array indexing
- Array datatypes
- Array Maths
- Reshape & Transpose
- Broadcasting
- How to use Pandas in Python
- Why use pandas in python
- Pandas index
- Pandas arrays
- Pandas dataframes
-
Yiannis Pitsillides on Social Media:
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