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Applying Python for Data Analysis
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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.

Course Cost

Free course

Beginner

Skill Level

3 Hours

Self-paced lessons

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.

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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Share your certificate with prospective employers and your professional network on LinkedIn.

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Applying Python for Data Analysis

Beginner

Skill Level

3 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.