Data Science Mastery 2025: Excel, Python & Tableau | Udemy
Category: A beginner-friendly data science course covering Excel, Python, Tableau, and statistics with real-world projects.
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Description
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Full Article
Title: **"Data Science Mastery 2025: Excel, Python & Tableau - Comprehensive Course for Beginners"**[100% Off] Data Science Mastery 2025: Excel, Python & Tableau
Dive into a beginner-friendly online course that covers the essentials of Excel, Python, Tableau, and statistics, empowering you to decipher, create stunning visualizations, and solve real-world problems with minimal experience required.
What You'll Learn
- Analyze and visualize data in Excel using pivot tables, charts, and formulas
- Write Python scripts for efficient data manipulation with Pandas, NumPy, Matplotlib, and Seaborn
- Perform statistical analysis and hypothesis testing with ease
- Create interactive and engaging dashboards in Tableau
- Clean, organize, and prepare datasets for analysis
- Use key statistical concepts for data-driven decisions
- Integrate Excel, Python, and Tableau for seamless data workflows
- Apply real-world data analysis techniques to projects
- Build confidence as a data science professional
Requirements
- No background in data science, programming, or statistics is required
- Basic computer skills, including file navigation
- Able to install tools such as Python, Tableau Public, Tableau Desktop, and Microsoft Excel
- A computer with internet access is necessary
- A keen interest in exploring data science concepts and completing hands-on exercises
Description
In today's data-driven world, transform raw data into actionable insights, create impressive visualizations, and solve complex problems. Start as a beginner and embody a confident data science professional in this comprehensive course that covers Excel, Python, Tableau, Statistics, and Data Visualization.
**Key Takeaways:**
- Master the fundamentals of formulas, functions, and pivot tables in Excel
- Build effective charts, dashboards, and visualizations
- Learn Python from scratch, including libraries like Pandas, NumPy, Matplotlib, and Seaborn for efficient data manipulation
- Understand essential statistical concepts like mean, variance, standard deviation, and hypothesis testing
- Use Tableau Public and Desktop for hands-on practice
- Combine Excel, Python, and Tableau for a cohesive data workflow
- Address real-world problems effectively with your newfound skills
- Gain self-assurance as a data science professional through practical projects
Embark on your journey to becoming a data science pro today. Enroll now to unlock your potential!
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