Python + SQL + Tableau: Integrating Python, SQL, and Tableau

See the full picture: Learn how to combine the three most important tools in data science: Python, SQL, and Tableau
4.54 (5538 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
Python + SQL + Tableau: Integrating Python, SQL, and Tableau
45 654
students
5 hours
content
Nov 2024
last update
$129.99
regular price

What you will learn

How to use Python, SQL, and Tableau together

Software integration

Data preprocessing techniques

Apply machine learning

Create a module for later use of the ML model

Connect Python and SQL to transfer data from Jupyter to Workbench

Visualize data in Tableau

Analysis and interpretation of the exercise outputs in Jupyter and Tableau

Course Gallery

Python + SQL + Tableau: Integrating Python, SQL, and Tableau – Screenshot 1
Screenshot 1Python + SQL + Tableau: Integrating Python, SQL, and Tableau
Python + SQL + Tableau: Integrating Python, SQL, and Tableau – Screenshot 2
Screenshot 2Python + SQL + Tableau: Integrating Python, SQL, and Tableau
Python + SQL + Tableau: Integrating Python, SQL, and Tableau – Screenshot 3
Screenshot 3Python + SQL + Tableau: Integrating Python, SQL, and Tableau
Python + SQL + Tableau: Integrating Python, SQL, and Tableau – Screenshot 4
Screenshot 4Python + SQL + Tableau: Integrating Python, SQL, and Tableau

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Our Verdict

A well-structured, beginner-friendly course on data science fundamentals. While it could benefit from more in-depth explanations and integration of tools like SQL and Tableau, the engaging lessons offer valuable insights into data preprocessing techniques and machine learning models. However, prepare for limited support when encountering technical issues.

What We Liked

  • Excellent course for those new to data science, covering fundamental tools Python, SQL, and Tableau.
  • In-depth explanations of data preprocessing techniques and machine learning model implementation.
  • Downloadable resources provided upfront and engaging lessons with animations.
  • Covers basics gradually increasing complexity, making it easy for beginners to understand.

Potential Drawbacks

  • Some lessons could benefit from more detailed explanations, especially the 'CustomScaler' in ML section.
  • Minimal time dedicated to SQL & Tableau, focusing more on data preparation and machine learning.
  • Lack of Tableau-Python integration; limited to passing CSVs between them.
  • Limited support for learners with technical questions; no feedback or human interaction.
Related Topics
2095410
udemy ID
19/12/2018
course created date
20/11/2019
course indexed date
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course submited by