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freeCodeCamp

Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)

via freeCodeCamp

Overview

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Embark on a comprehensive 4-5 hour journey into data analysis with Python, designed for beginners. Explore the entire data analysis process, from reading data from various sources like CSVs, SQL, and Excel to processing it with NumPy and Pandas. Learn to visualize data using Matplotlib and Seaborn, and master data cleaning techniques for creating insightful reports. Dive into a thorough Jupyter Notebook tutorial and refresh your Python skills with a quick reference guide. Gain hands-on experience through practical exercises and real-life examples, covering topics such as introduction to data analysis, NumPy fundamentals, Pandas essentials, data cleaning strategies, and reading data from diverse sources. By the end of this course, you'll have the skills to tackle data analysis projects using powerful, open-source Python libraries.

Syllabus

⌨️ Part 2: Real Life Example of a Python/Pandas Data Analysis project
⌨️ Part 3: Jupyter Notebooks Tutorial
⌨️ Part 4: Intro to NumPy
⌨️ Part 5: Intro to Pandas
⌨️ Part 6: Data Cleaning
⌨️ Part 7: Reading Data from other sources
⌨️ Part 8: Python Recap

Taught by

freeCodeCamp.org

Reviews

4.5 rating, based on 4 Class Central reviews

Start your review of Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)

  • The course is suitable for anyone who wants to learn or improve their data analysis skills using Python. You don’t need to have any prior experience with NumPy or Pandas, but you should have some basic knowledge of Python programming and mathematics. The course is well-structured and easy to follow.
  • MD. ARFANUL HAQUE
    FreeCodeCamp's Data Analysis with Python course is a valuable resource for beginners looking to acquire the skills necessary to work with data using Python. The clear explanations, hands-on exercises, and comprehensive coverage make it an excellent starting point for individuals interested in pursuing a career in data science or data analysis.
  • Hardik Gediya
    It’s amazing course for whoever want to enhance their knowledge in python language with analytical perception.
  • Samruddhi Patil
    Great Course!!!!!
    Everything is well explained with simple examples and very helpful for the beginners in Data Analysis with Python.

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