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Published 5/2025
Created by Harsh Gadhiya
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 78 Lectures ( 12h 26m ) | Size: 9.99 GB
Master Python fundamentals, NumPy, Pandas, and real-world data analysis techniques - no prior experience needed.
What you'll learn
Understand and apply core Python programming concepts such as data types, loops, functions, and file handling, specifically tailored for data analysis tasks.
Manipulate structured data using powerful libraries like NumPy and Pandas, including working with arrays, data frames, filtering, grouping, and summarizing data
Visualize data effectively using Matplotlib and Seaborn to create insightful graphs and plots such as bar charts, histograms, heatmaps, and line plots.
Work with databases using SQLite3 in Python to store, query, and manage data efficiently, integrating SQL queries into data analysis workflows.
Requirements
No prior experience required. I Just need your dedication, time and willingness to learn.
Description
Are you ready to start your journey into the world of data? Whether you're a complete beginner or looking to solidify your foundation, this course is the perfect place to begin. "Learn Python for Data Analysis" is designed to help you master Python programming and apply it to real-world data problems.Python is one of the most popular and in-demand programming languages, especially in the fields of data science, machine learning, and analytics. In this course, you'll start from the basics and gradually move into powerful libraries like NumPy and Pandas, which are essential tools for any data analyst.This course is practical, hands-on, and beginner-friendly. You'll not only learn how to write Python code, but also how to analyze, manipulate, and visualize data effectively. Throughout the course, you'll work on mini-projects and exercises to apply what you've learned.What you'll learn
Who this course is for
This course is designed for everyone. Even if you're just getting started with python, or you're an intermediate developer, or an advanced user, this course will help you understand how python is usefull for data analysis
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