Course Content
Introduction
0/1
Introduction
01:53
The Data Visualisation Tools. Introduction
0/1
Data Visualization Tools. Power BI, Tableau, Google Data Studio, Jupyter.
04:57
Practice. Data Visualization with Python. Kaggle and Jupyter Notebook.
0/3
Python Data Visualizations. Prepare Data for Visualizations. (Part 1/3)
11:10
Python Data Visualizations. Clean data for Visualizations (Part 2/3).
04:57
Python Data Visualizations. Data Visualizations in Jupyter Notebook (Part 3/3).
11:19
Online Data Visualization Tools. Introduction and getting started.
0/3
Practice. Power BI. Introduction and getting started.
07:00
Practice. Tableau. Introduction and getting started.
04:35
Practice. Google Data Studio. Introduction and getting started.
06:20
Visualization of Project Data in Construction. Basic Data Visualization Tools. 📚 8 Lessons

📚 Additional materials on topics covered in the course:

Kaggle
https://www.kaggle.com/

Python | Pandas DataFrame
https://www.geeksforgeeks.org/python-pandas-dataframe/

Jupyter/IPython Notebook Quick Start Guide
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/

Regular expression operations
https://docs.python.org/2/library/re.html

Regular Expressions Quick Start
https://www.regular-expressions.info/quickstart.html

🔎 Topics covered in this course:

  • Export data from Excel to Python

  • Uploading data to Visualizations on Kaggle

  • Introduction to Jupyter Notebooks

  • Prepare data for Visualisations

 
Exercise Files
data_xls_projects_eca.xlsx
Size: 47.37 KB
visualization_table_eca.zip
Size: 2.02 KB
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