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Learner Reviews & Feedback for Applying Python for Data Analysis by Coursera Instructor Network
10 ratings
About the Course
This course is perfect for data analysts, business professionals, and anyone looking to level up their Python skills using Pandas. Participants will dive deep into Pandas to gain expertise in data manipulation, cleaning, and analysis, turning raw data into actionable insights.
Python is the Goliath behind giants. We're talking Google, NASA, Netflix—all harnessing its power for web development, data crunching, AI, and more. And Python isn’t just popular; it’s a powerhouse. Dominating as the fastest-growing major programming language, it’s captured 28.3% of the developer community, thanks to its simplicity and versatility.
Learners will work with a real-world data set, analyzing customer data for a Burger restaurant, its sales data and demographics. This hands-on approach ensures learners are ready to handle complex data analysis tasks, make data-driven decisions, and communicate their findings effectively.
This course is tailored for Data Analysts, Business Analysts, and Python Programmers who are looking to advance their data analysis skills. It is ideal for professionals who regularly work with data, generate reports, and provide insights that support business decisions. Participants should have a strong interest in leveraging Python to enhance their analytical capabilities and improve their data-driven decision-making processes.
Participants should have basic proficiency in Python, as the course involves constructing and manipulating data structures using Python libraries. Additionally, an understanding of fundamental statistical concepts is necessary, including measures of central tendency and variation, normal distribution, and correlation. This foundational knowledge will enable participants to effectively grasp and apply more advanced data analysis techniques taught in the course.
After completing this course, learners will be able to construct and manipulate data structures using Pandas, analyze and visualize data sets to extract meaningful insights, and evaluate and apply advanced data analysis techniques such as time series analysis and data aggregation. This will empower them to handle complex data analysis tasks and make informed, data-driven decisions in their professional roles.
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1 - 6 of 6 Reviews for Applying Python for Data Analysis
By Md. A R
•Oct 9, 2024
It was fantastic starting with Python and Pandas. Its cover very crucial points of pandas.
By Erasyl A
•Sep 25, 2024
Very good course for everybody
By Abdul W
•Feb 7, 2025
good course
By Martin P
•Jan 1, 2025
Great way to explain and apply the learning. However, the python code should be shared and some of the final test-quest were about methods which were not mentioned in the course.
By Aviv R
•Oct 30, 2024
The technicality is great for beginners. However, without assignments with databases to handle and plot the data it feels lacking and very superficial.
By Prayagajith
•Sep 20, 2024
not really for beginners