A beginner-friendly data science course covering Excel, Python, Tableau, and statistics with real-world projects.
Sub Category
- Data Science
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Objectives
- 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.
Pre Requisites
- No background in data science, programming, or statistics is required.
- Familiarity with using a computer and navigating files is helpful.
- Students should be able to install tools like Python, Tableau Public, and Microsoft Excel.
- A laptop or desktop with internet access is required to follow along with the course.
- An eagerness to explore data science concepts and complete hands-on exercises.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)