Master Python's Pandas library for data manipulation, analysis, and visualization. Perfect for analysts looking to enhance their data analysis skills.
Master Python's Pandas library for data manipulation, analysis, and visualization. Perfect for analysts looking to enhance their data analysis skills.
This comprehensive course is designed for data analysts, business professionals, and Python enthusiasts seeking to advance their data analysis capabilities. Using Pandas, participants learn to manipulate, clean, and analyze data effectively, working with real-world datasets including restaurant customer and sales data. The course emphasizes practical applications, combining fundamental concepts with hands-on experience in data manipulation and visualization.
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English
What you'll learn
Construct and manipulate data structures using Pandas
Analyze and visualize data sets to extract meaningful insights
Evaluate and apply advanced data analysis techniques
Master time series analysis and data aggregation
Develop proficiency in data cleaning and preparation
Gain expertise in data visualization techniques
Skills you'll gain
This course includes:
55 Minutes PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a comprehensive introduction to data analysis using Python's Pandas library. Students learn essential skills in data manipulation, cleaning, and analysis through practical applications. The curriculum covers fundamental concepts such as DataFrames, data filtering, handling missing data, and visualization techniques. Working with real-world datasets, participants gain hands-on experience in turning raw data into actionable insights.
Applying Python for Data Analysis
Module 1 · 1 Hours to complete
Fee Structure
Payment options
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Instructor
Analytics Expert Bridges Corporate Experience with Global Educational Impact
Diogo Resende is a distinguished data analytics and business intelligence professional who combines academic excellence with extensive industry experience. Armed with a Master's Degree in Management from ESMT Berlin, he has made significant contributions at Zalando Germany as a Senior Commercial Planning and Strategy Manager, where he was responsible for strategic planning of €4 billion in revenue. His expertise spans from corporate strategy to humanitarian efforts, notably working with the United Nations Development Program to enhance financial inclusion through mobile money initiatives in Ethiopia and Lesotho. As an educator, Resende has developed comprehensive courses in Business Analytics and Statistics on multiple platforms, including Zero To Mastery Academy, where he specializes in teaching practical applications of data mining, machine learning, and business analytics. His teaching methodology emphasizes real-world applications, combining theoretical knowledge with practical insights to help professionals master data analytics techniques and drive business decisions
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