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.
Data analysis is the process of inspecting, cleansing, transforming, and modeling data to discover useful information, inform co...Show More
WHAT YOU'LL LEARN
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
Working knowledge of SQL and Python for data querying and manipulation
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Content
1.
Step into Data Analysis
3 Lessons
Learn why data analysis matters and how it shapes smart decisions in every field.
2.
Talk to Data
7 Lessons
Learn how to access, query, and combine data from different sources using SQL and Python.
3.
Clean It Up!
8 Lessons
Learn how to prepare messy data by cleaning, reshaping, and transforming it with pandas and SQL.
4.
Making Sense Out of Data
7 Lessons
Learn how to analyze data using statistical techniques, from summaries to hypothesis testing and regression.
5.
Visualization and Storytelling
7 Lessons
Learn how to communicate insights by building clear, engaging visualizations and data-driven narratives.
6.
Conclusion
1 Lessons
Learn the key takeaways from the data analyst course in this quick recap.
Certificate of Completion
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