Applying Python for Data Analysis
This course is perfect for data analysts, business professionals, and anyone looking to level up their Python skills using Pandas. Participants will master Pandas to turn raw data into actionable insights.
Overview
This course includes:
- 1 hour and 45 minutes of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
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.
By the end of this course, learners will be able to demonstrate use of Pandas, making them valuable assets in their professional fields. They will be able to transform raw data into compelling insights, driving business strategies and achieving better outcomes.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Construct and manipulate data structures using Pandas.
- Analyze and visualize data sets to extract meaningful insights.
- Evaluate and apply advanced data analysis techniques such as time series analysis and data aggregation.
Prerequisites
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.
Who Should Attend
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.
