Data Science Mastery 2025: Excel, Python & Tableau
A beginner-friendly data science course covering Excel, Python, Tableau, and statistics with real-world projects.
4.65 (111 reviews)
5 683
students
21.5 hours
content
Apr 2025
last update
$49.99
regular price
What you will learn
Analyze and visualize data in Excel using pivot tables and charts.
Write Python scripts for data manipulation with Pandas and NumPy.
Perform statistical analysis and hypothesis testing with ease.
Create interactive dashboards and visualizations in Tableau.
Clean, organize, and prepare datasets for analysis.
Understand key statistical concepts for data-driven decisions.
Use Python libraries like Matplotlib and Seaborn for visualization.
Integrate Excel, Python, and Tableau for seamless data workflows.
Apply real-world data analysis techniques to projects.
Build confidence as a data science professional from scratch.
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Our Verdict
Data Science Mastery 2025: Excel, Python & Tableau proves to be an exceptional beginner-friendly resource in data science education. Its well-structured approach, hands-on projects, and comprehensive statistics coverage make it a strong contender among similar courses. However, incorporating more diverse projects, slowing the pace slightly, offering advanced sections, and translating materials into multiple languages would further enhance its value.
What We Liked
- An all-encompassing curriculum that covers Excel, Python, Tableau, and Statistics—ideal for those new to data science.
- Beginner-friendly teaching style with steady progression and step-by-step guidance facilitate a smooth learning experience.
- Hands-on projects and real-world examples help learners grasp complex concepts and apply them effectively.
- Comprehensive statistics coverage, including mean, variance, standard deviation, and hypothesis testing, enhances analytical skills.
Potential Drawbacks
- A more diversified set of real-world projects could better showcase the versatility of the acquired skills.
- The fast-paced nature might be challenging for some learners; thus, additional time should be allocated for practice.
- Some topics may benefit from more in-depth exploration, especially for those who wish to specialize in a specific area.
- The course does not currently support multiple languages, which could limit its accessibility for non-English speakers.
6280017
udemy ID
10/11/2024
course created date
25/03/2025
course indexed date
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