Course / Course Details

Data Analysis with Python

  • Gabriel Simeon image

    By - Gabriel Simeon

  • 3 Hours 10 Min
  • (0)

Course Requirements

Course Requirements:

-No Prior Coding Experience Needed: This course is designed for beginners, and no programming knowledge is required.

-Mathematics and Statistics Basics

-Jupyter Notebooks: A popular environment for interactive data analysis. It’s part of the Anaconda Distribution, which is highly recommended as it comes with Python and essential libraries (NumPy, Pandas, Matplotlib, etc.).

-Time Commitment



Course Description:

This course provides a comprehensive introduction to data analysis using Python, a powerful and versatile programming language. You will learn how to extract, clean, manipulate, visualize, and analyze data efficiently, leveraging popular Python libraries like NumPy, Pandas, Matplotlib, and Seaborn.

Throughout the course, you will work with real-world datasets to understand fundamental data analysis concepts, including statistical analysis, data visualization, and exploratory data analysis (EDA). By the end of this course, you will be able to apply Python-based techniques to derive meaningful insights from data and solve complex problems.



Course Curriculum

  • 2 chapters
  • 8 lectures
  • 0 quizzes
  • 3 Hours 10 Min total length
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1 Overview of Data Analysis
3 Min

1 Python setup for data science
Preview
2 Min

2 Python Essentials(Variables, Multiple assignments, data types...)
Preview
30 Min

3 Data Structure
29 Min

4 Data Structure - List
19 Min

5 Data Structure - Dictionary
14 Min

6 Data Structure - Set
17 Min

7 Functions in Python
21 Min

Instructor

Gabriel Simeon

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  • Duration 3 Hours 10 Min

  • Lectures 8 lessons

  • Category: Technology & IT

  • 0 Quizzes

  • Language: English

  • Skill Level Beginner

  • Certificate of Completion

  • Full lifetime access

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