NumPy, Pandas, & Python for Data Analysis: A Complete Guide

Master Python for Data Analysis with NumPy and Pandas! Learn the fundamentals of Python, high-speed computations using NumPy, and advanced data manipulation with Pandas. Visualize data with Matplotlib and Seaborn, apply it to real-world datasets, and learn by hands-on practice in cleaning, preprocessing, and analyzing data. Apply now and uncover hidden data insights to boost your analysis skills!

Instructor: Sara Academy
Language: English

Requirements:

No prior knowledge is required.

Description:

Unlock the full potential of Python for Data Analysis with NumPy and Pandas in this hands-on course! Whether you start from scratch or want to advance your skills, this course is a complete guide to mastering data analysis using Python’s most powerful libraries.

You will learn to:

Python for Data Analysis: Learn to set up a foundation in Python to understand essential programming concepts and special libraries created with data analysis in mind.
NumPy Essentials: Know how to explore the high-performance numerical computations array operations, and learn about performance optimizations in NumPy.
Pandas Mastery: Master all aspects of using Pandas on large datasets easily. Clean and transform real-world data with Pandas.
Data Visualization: Learn how to create insightful visualizations using Python libraries like Matplotlib and Seaborn to tell compelling data stories. * Real-World Projects: Get real-world experience using practical datasets, solving data challenges from start to finish; you’ll get your hands dirty: you will clean, analyze, and visualize.
NumPy techniques: arrays, operations and performance optimization, and more advanced data handling with Pandas
Advanced data cleaning and preprocessing
Comprehensive methods in EDA techniques using Pandas
Hands-on real-world projects and case studies