- Promoted by: Anonymous
- Platform: Udemy
- Category: Data Science
- Language: English
- Instructor: Sara Academy
- Duration: 4 hour(s) 30 minute(s)
- Student(s): 26,267
- Rate 4.2 Of 5 From 319 Votes
- Expires on: 2025/11/04
-
Price:
19.990
Learn Data Analysis Techniques with Python, NumPy, and Pandas: From Data Cleaning to Advanced Visualization
Unlock your potential with a Free coupon code
for the "NumPy, Pandas, & Python for Data Analysis: A Complete Guide" course by Sara Academy on Udemy.
This course, boasting a 4.2-star rating from 319 reviews
and with 26,267 enrolled students, provides comprehensive training in Data Science.
Spanning approximately
4 hour(s)
30 minute(s)
, this course is delivered in English
and we updated the information on October 31, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
Unlock the full potential of data analysis with NumPy, Pandas, and Python in this comprehensive, hands-on course! Whether you're a beginner or looking to sharpen your skills, this course will guide you through everything you need to master data analysis using Python's most powerful libraries.
You will learn to:
Python for Data Analysis: Master the fundamentals of Python, the most popular language for data science, including core programming concepts and essential libraries.
NumPy Essentials: Dive deep into NumPy for fast numerical computations, array manipulation, and performance optimization.
Pandas Mastery: Learn how to efficiently work with large datasets using Pandas, the powerful data manipulation library. Handle, clean, transform, and analyze real-world data with ease.
Data Visualization: Understand how to represent your data visually to gain insights using Python libraries like Matplotlib and Seaborn.
Real-World Projects: Apply your knowledge to real-world datasets, tackling data challenges from start to finish—exploring, cleaning, and drawing insights.
What you'll learn:
Fundamentals of Python programming for data analysis
Introduction to NumPy: Arrays, operations, and performance techniques
Deep dive into Pandas: DataFrames, Series, and advanced data manipulation
Data cleaning and preprocessing techniques
Exploratory data analysis (EDA) with Pandas
Real-world case studies and hands-on projects
Enroll today and take the first step toward mastering data analysis with Python, NumPy, and Pandas!