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Data Analysis with Pandas and Python 2025

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

Learn Data Analysis with Pandas and Python with hands on experience. We will walk you step-by-step instructions on how to download and install Python Anaconda Distribution, Python/PyCharm IDE, Jupyter notebook, various fundamental concepts of Python programming. You will develop new skills and improve your understanding of all the concepts.

We will cover the following topics:Python Anaconda distribution, Jupyter notebook overviewCreating Pandas dataframes by reading data from the datasets and writing the data back to the datasetsHow to apply Pandas functions like head, tail, describe, info and shape, etc. Perform data selection, filtering dataCleaning data, treating missing values. How to use isin, drop, drop_duplicates, rename, etc to do data analysisHow to group the data, pivoting, sorting, concat, merge, join the dataPandas Series with examplesPython introduction, installation and setupPython indentation, comments, escape characters and constantsPython flow control - if statement, else statement, for loop, while loopPython pattern programs using loopsPython datatypes - int, float, complex, bool, str, range, list, tuple, set, frozenset, dict, bytes, bytearray, NonePython operators - Arithmetic, Relational, Equality, Logical, Bitwise, Assignment, Ternary, SpecialPython statements - Input and output statementsAnd many more.

You will get lifetime access and more to come. This course comes with a 30 day money back guarantee. If you are not satisfied in any way, you'll get your money back.

This course is designed to give you the Python skills you need to get a job as a software engineer or a developer. By the end of the course, you will understand Python so well and be able to build your own Python applications. After going through this course, several students have got enough knowledge to get their first job or promote to the next level in their career.

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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