Coursera – Meta Data Analyst Professional Certificate 2024-9

Meta Data Analyst Professional Certificate course. This training program prepares you to enter the booming world of data analysis. In this course, you’ll learn the necessary technical skills like Python, statistics, and SQL in spreadsheets to be job-ready in 5 months or less; No previous experience is required. Also, you will have the opportunity to learn how generative artificial intelligence tools and techniques are used in data analysis.

Data analytics involves collecting, processing, and analyzing data to derive insights that can inform decision-making and strategy across the organization. In this program, you will learn the basics of data analysis, how data can influence decision making, and how to use the OSEMN framework to approach common analytical questions. Also, you’ll learn how to use essential tools like SQL, Python, and Tableau to collect, connect, visualize, and analyze relevant data. This comprehensive and hands-on course prepares you to become a professional data analyst. By learning the necessary technical skills and gaining hands-on experience, you will be able to answer complex data questions and make data-driven decisions.

What you will learn:

• Collect, clean, sort, evaluate and visualize data
• Using the OSEMN framework to guide the data analysis process ensures a comprehensive and structured approach to extracting actionable insights.
• Identify data sources
• Use spreadsheets to clean and filter data
• Using Python to sort and examine data
• Use Tableau to visualize results
• Using statistical analysis
• Use statistical analysis, including hypothesis testing, regression analysis, and more, to make data-driven decisions
• Developing an understanding of the fundamental principles of effective data management and the ability to use data assets in an organizational context

This course is suitable for people who:

• Looking to start a career in data analytics
• They want to improve their technical skills in the field of data analysis
• Looking for a deeper understanding of how to use data to make decisions
• Interested in learning new data analysis tools and techniques