CCNA 200-301 Pearson uCertify Network Simulator
ISBN: 978-1-61691-837-8Cisco 200-301-SIMULATOR.AB1
Gain the critical skills to visualize and analyze data using Python language and its libraries.
(EDA-PYTHON.AJ1) / ISBN : 978-1-64459-298-4This course is all about practicing Exploratory Data Analysis with Python. You’ll learn to visualize, transform, and analyze data using Python’s powerful tools like Pandas, Seaborn, and Matplotlip. By delving into real-world datasets, you’ll discover patterns and insights that drive decision-making. Ideal for aspiring data scientists, analysts, and anyone keen to enhance their data exploration skills.
13+ Interactive Lessons | 47+ Exercises | 63+ Quizzes | 80+ Flashcards | 80+ Glossary of terms
35+ Pre Assessment Questions | 35+ Post Assessment Questions |
77+ LiveLab | 13+ Video tutorials | 20+ Minutes
Find answers to common questions about our exploratory data analysis Python course.
Contact Us NowEDA in Python is a critical process in data analysis that helps in understanding the main characteristics of a dataset through visuals and statistical techniques.
Python is ideal for EDA due to its powerful libraries like Pandas, Seaborn, and Matplotlib, which make data manipulation, visualization, and analysis straightforward and efficient.
Exploratory data analysis techniques in Python help in identifying patterns, spotting anomalies, testing hypotheses, and checking assumptions, all of which are crucial steps before building predictive models. In addition, it will allow you to take on advanced projects and pursue specialized roles in your field.
The average salary for a data analyst with EDA skills ranges from $70,000 to $100,000 per year, depending on experience, location, and industry.
By mastering EDA with Python, you’ll enhance your ability to interpret and present data, making you a valuable asset in any data-driven organization. Career opportunities include roles such as Data Analyst, Data Scientist, Business Analyst, and Data Engineer, where EDA skills are highly valued.