Foundations of Data Analytics: Learn to Analyze, Visualize, and Interpret Data for Informed Decision-Making
Sub Category
- Data Science
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Objectives
- Understand the fundamentals of data analytics and its applications.
- Learn data collection, cleaning, and preprocessing techniques.
- Work with datasets using Excel, SQL, and Python.
- Apply statistical methods to analyze and interpret data.
- Create data visualizations and dashboards to present insights.
- Develop data-driven decision-making skills.
- Understand the basics of machine learning and predictive analytics.
- Communicate data findings effectively using storytelling techniques.
Pre Requisites
- Basic computer literacy and internet access.
- Interest in data analytics and problem-solving.
- No prior programming or analytics experience required (but helpful).
- Willingness to learn and practice 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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