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Python Data Analytics
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Python Data Analytics

This course is part of multiple programs. Learn more.

Course Cost

Free course

Beginner

Skill Level

20 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Meta Data Analyst Professional Certificate or Meta Marketing Analytics Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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10,682 Enrolled

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4.3

10,682 Enrolled

English

What you'll learn

  • Use Python to construct loops and manage data structures

  • Manipulate and analyze data using Pandas library

  • Create effective data visualizations with Python

  • Apply statistical analysis and modeling techniques

Skills you'll gain

Python Programming
Pandas Library
Data Visualization
Statistical Analysis
Data Manipulation
Jupyter Notebook
Data Structures
OSEMN Framework
Data Modeling
Data Interpretation

This course includes:

5 Hours PreRecorded video

14 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate
Certificate

Get a Completion Certificate

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

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PROVIDED BY

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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 are 5 modules in this course

This comprehensive course introduces Python programming for data analysis, following the OSEMN (Obtain, Scrub, Explore, Model, and iNterpret) framework. Students learn to use Python's Pandas library for data manipulation and analysis, create visualizations with Matplotlib, and perform basic statistical analysis. The curriculum covers fundamental programming concepts, data structures, and practical applications in data analytics. Through hands-on exercises and programming assignments, learners develop skills in data manipulation, visualization, and interpretation using Python tools and libraries.

Introduction to Python

Module 1 · 2 Hours to complete

Basic Python Concepts

Module 2 · 5 Hours to complete

Obtaining and Scrubbing Data with Pandas

Module 3 · 4 Hours to complete

Exploring Data with Python

Module 4 · 5 Hours to complete

Modeling and Interpreting Data with Python

Module 5 · 4 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Meta Data Analyst Professional Certificate, Meta Marketing Analytics Professional Certificate

Reviews

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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.

Python Data Analytics

Beginner

Skill Level

20 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.