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Mastering Python Pandas for Data Science & Visualization

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

Are you ready to elevate your data science skills. Mastering Python Pandas for Data Science & Visualization is a comprehensive, hands-on course designed to help you efficiently analyze, manipulate, and visualize data using Pandas, Matplotlib, and Jupyter Notebook. Whether you are a beginner or looking to refine your data analysis skills, this course provides practical, real-world experience to make you proficient in working with data.

Why Learn Pandas. Pandas is one of the most powerful and widely used Python libraries for data analysis. Whether you're working in machine learning, business intelligence, or scientific research, Pandas enables you to clean, process, and analyze datasets with ease.

It is an essential tool for every Data Scientist, Analyst, and Python Developer. What You Will LearnIntroduction to Python PandasOverview of Python for data analysisWhy Pandas is essential for data scienceIntroduction to the Pandas libraryInstallation & SetupInstalling Python on Windows and macOSSetting up virtual environments for Python projectsInstalling Pandas and Jupyter NotebookNavigating Jupyter Notebook and its featuresWorking with Pandas Data StructuresUnderstanding Series and DataFramesCreating Pandas Series from lists and dictionariesAccessing, slicing, and manipulating data in SeriesBuilding and managing DataFrames from structured dataData Manipulation & TransformationImporting and exporting data from CSV, Excel, JSON, and databasesCleaning and preparing data for analysisHandling missing values, duplicates, and outliersApplying transformations and aggregations for deeper insightsData Visualization with Pandas & MatplotlibCreating and customizing visualizationsGenerating bar charts, line graphs, scatter plots, and histogramsUsing Matplotlib to enhance Pandas visualizationsApplying visualization techniques for effective data storytellingWhy Take This Course. Hands-on Learning - Work with real datasets and practical examplesBeginner to Advanced Concepts - Learn step-by-step from fundamentals to expert techniquesInteractive Coding Exercises - Reinforce learning through practiceWho Should Enroll.

Aspiring Data Scientists - Build a strong foundation in data analysisPython Developers - Expand your skills with Pandas and Jupyter NotebookBusiness Analysts - Use Pandas to analyze and visualize business dataStudents & Researchers - Work with structured datasets efficientlyAnyone Interested in Data Science - No prior experience requiredEnroll Now and Build Your Data Science ExpertiseBy the end of this course, you will be able to confidently analyze, clean, and visualize datasets using Pandas and Matplotlib. Whether you're starting a career in data science or improving your analytical skills, this course will help you develop practical, in-demand data skills. Take the next step in your data science journey today.

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

Topics Covered

Data Science & AIPythonData ScienceVisualization

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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