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Applied Python Pandas

Develop essential data science & ai skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry StandardsPython
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Applied Python Pandas is a course on pandas library, which is used for data analysis using python programming language. The intent of this course is to learn data analysis with pandas by solving problems that can be encountered in real world. This course has following lectures.

Overview of PandasData StructuresData Selection & Data FilteringGroupby, Aggregation & Visualisation. Time SeriesWe will be answering below questions with scenario based examples. - What is Series and DataFrame in Pandas.

When to use them. - How would we inspect the structure of a DataFrame. - What methods would we use to summarize the statistical properties of the columns.

- What are the differences between. loc[],. iloc[],.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AIPython

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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