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Learn Data Analysis

This course equips you with the skills to access, clean, analyze, and visualize data using SQL and Python, preparing you to launch your career in data analysis.

4.7

35 Lessons

Updated this week

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LEARNING OBJECTIVES

Access and query data using SQL and Python to retrieve meaningful insights from various data sources.
Clean and structure datasets with pandas and SQL to prepare data for effective analysis.
Apply statistical thinking, including descriptive analysis, hypothesis testing, and regression, to interpret data accurately.
Visualize data effectively using tools like Matplotlib to communicate insights and narratives clearly.
Understand ethical considerations in data analysis, including privacy, security, and bias reduction.

KEY OUTCOMES

Ace Data Analysis Interviews

Demonstrate your ability to extract insights from raw data using SQL and Python in real-world interview scenarios.

Implement Data Cleaning Techniques

Apply effective data cleaning methods to ensure high-quality datasets, ready for analysis in production environments.

Visualize Data Insights

Create compelling visualizations that clearly communicate data findings, enhancing decision-making in team discussions.

Conduct Statistical Analysis

Perform hypothesis testing and regression analysis to validate insights and support data-driven conclusions in your projects.

Learning Roadmap

35 Lessons35 Quizzes

Step into Data Analysis

Learn why data analysis matters and how it shapes smart decisions in every field.

Meet the Analyst’s World

Inside the Analyst’s Mind

Data with a Conscience

Talk to Data

Learn how to access, query, and combine data from different sources using SQL and Python.

Know Your Data

Meet the Data

Hello, Data! Meet SQL

Ask Bigger Questions

Mix and Match Data

Make Some Changes

Coding Exercise: Find Top Cities by Order Count

Clean It Up!

8 Lessons

Learn how to prepare messy data by cleaning, reshaping, and transforming it with pandas and SQL.

Making Sense Out of Data

7 Lessons

Learn how to analyze data using statistical techniques, from summaries to hypothesis testing and regression.

Visualization and Storytelling

7 Lessons

Learn how to communicate insights by building clear, engaging visualizations and data-driven narratives.

Conclusion

Learn the key takeaways from the data analyst course in this quick recap.

Wrap Up

Appendix

2 Lessons

Learn to apply Python for data analysis to strengthen your data analysis skills.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

In today’s data-driven world, the ability to extract meaningful insights from raw information is a foundational skill across industries. Yet many professionals struggle to learn data analysis in a way that goes beyond tools and syntax. This course is designed to help you build a clear, structured understanding of data analysis, so you can move from raw data to informed decisions with confidence. I built this course from my experience working with data-centric systems and teaching analytical thinking at scale. A consistent challenge I observed was that learners could run queries or use libraries, but lacked a coherent framework for reasoning about data. The gap was in understanding how to approach problems systematically. This course addresses that by focusing on how to think through data analysis, not just how to execute steps. You’ll start by learning how to access, query, and combine data using SQL and Python. From there, you’ll clean and structure datasets with pandas and relational queries. The course then introduces statistical thinking, including descriptive analysis, hypothesis testing, and regression. Finally, you’ll learn how to communicate insights through effective data visualization, turning analysis into actionable narratives. If you want to learn data analysis in a way that prepares you to solve real problems and make data-driven decisions, this course provides a clear and practical foundation.

ABOUT THE AUTHOR

Khayyam Hashmi

Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.

Learn more about Khayyam

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