Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Working knowledge of SQL and Python for data querying and manipulation
- Hands-on experience cleaning and transforming messy datasets with pandas
- The ability to perform statistical analysis, from summaries to regression
- An understanding of data visualization principles and storytelling techniques
- Familiarity with the core components of a data analysis workflow
Learning Roadmap
1.
Step into Data Analysis
Step into Data Analysis
Learn why data analysis matters and how it shapes smart decisions in every field.
2.
Talk to Data
Talk to Data
Learn how to access, query, and combine data from different sources using SQL and Python.
3.
Clean It Up!
Clean It Up!
8 Lessons
8 Lessons
Learn how to prepare messy data by cleaning, reshaping, and transforming it with pandas and SQL.
4.
Making Sense Out of Data
Making Sense Out of Data
7 Lessons
7 Lessons
Learn how to analyze data using statistical techniques, from summaries to hypothesis testing and regression.
5.
Visualization and Storytelling
Visualization and Storytelling
7 Lessons
7 Lessons
Learn how to communicate insights by building clear, engaging visualizations and data-driven narratives.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
Data analysis is the process of inspecting, cleansing, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. Learning data analysis is crucial in today’s data-driven world, as businesses across sectors rely on insights to optimize operations, understand customers, and drive growth.
In this course, you’ll learn to access, query, and combine data from various sources using SQL and Python. Next, you’ll clean and tidy messy data with pandas and SQL. Then, you’ll make sense of data through statistical analysis, from descriptive statistics to hypothesis testing and regression. Finally, you’ll learn to visualize compelling stories with data.
You’ll confidently extract, clean, analyze, and visualize data by the end, turning raw numbers into actionable insights. You’ll gain the practical skills to step into data analysis.
ABOUT THE AUTHOR
Khayyam Hashmi
Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.
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