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Applying Python for Data Analysis

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.

1,155 already enrolled

Instructors:

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Applying Python for Data Analysis

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

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

data cleaning
data manipulation
data analysis
advanced data analysis
data visualization
pandas
python
statistics

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

Financial Aid

Instructor

Diogo Resende
Diogo Resende

3.6 rating

7 Reviews

1,239 Students

3 Courses

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

Applying Python for Data Analysis

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.