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freeCodeCamp

Data Analysis with Python

via freeCodeCamp

Overview

Data Analysis has been around for a long time. But up until a few years ago, developers practiced it using expensive, closed-source tools like Tableau. But recently, Python, SQL, and other open libraries have changed Data Analysis forever.

In the Data Analysis with Python Certification, you'll learn the fundamentals of data analysis with Python. By the end of this certification, you'll know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.

Major Topics:
  • Data Analysis with Python Course
  • Numpy
  • Data Analysis with Python Projects

Syllabus

  • Introduction to Data Analysis
  • Data Analysis Example A
  • Data Analysis Example B
  • How to use Jupyter Notebooks Intro
  • Jupyter Notebooks Cells
  • Jupyter Notebooks Importing and Exporting Data
  • Numpy Introduction A
  • Numpy Introduction B
  • Numpy Arrays
  • Numpy Operations
  • Numpy Boolean Arrays
  • Numpy Algebra and Size
  • Pandas Introduction
  • Pandas Indexing and Conditional Selection
  • Pandas DataFrames
  • Pandas Conditional Selection and Modifying DataFrames
  • Pandas Creating Columns
  • Data Cleaning Introduction
  • Data Cleaning with DataFrames
  • Data Cleaning Duplicates
  • Data Cleaning and Visualizations
  • Reading Data Introduction
  • Reading Data CSV and TXT
  • Reading Data from Databases
  • Parsing HTML and Saving Data
  • Python Introduction
  • Python Functions and Collections
  • Python Iteration and Modules
  • What is NumPy
  • Basics of Numpy
  • Accessing and Changing Elements, Rows, Columns
  • Initializing Different Arrays
  • Initialize Array Problem
  • Copying Arrays Warning
  • Mathematics
  • Reorganizing Arrays
  • Loading Data and Advanced Indexing
  • Mean-Variance-Standard Deviation Calculator
  • Demographic Data Analyzer
  • Medical Data Visualizer
  • Page View Time Series Visualizer
  • Sea Level Predictor

Taught by

freeCodeCamp Team

Reviews

5.0 rating, based on 4 Class Central reviews

Start your review of Data Analysis with Python

  • Very precise and cleanly thought. It goes into technical details which I like since I have a Comp Sci degree with over 20 years of experience. At first I thought it was overwhelming, but I realize that I am able to associate it with previous experience...
  • Profile image for Prashant Saini
    Prashant Saini
    At the center of a good story are the characters in it. In this course aspiring writers will discover how to build and bring to life complex, vivid and unforgettable characters. We will study the choices a writer makes to bring all characters to life...
  • Usman Aziz
    Very precise and cleanly thought. It goes into technical details which I like since I have a Comp Sci degree . At first I thought it was overwhelming, but I realize that I am able to associate it with previous experience on a data science team supporting Data Scientist with Anaconda.

    For those that are new to this stuff don't get intimidated. You may have to repeat the material if you really want to learn it. It is worth it. I am doing this while I refresh my Hadoop admin skills, and learning data engineering and AI, so if you focus on one fundamentals you will overcome it. I am an Architect consulting role now so I have to really step up to deliver to client's needs.
  • Profile image for Gaurav Shirke
    Gaurav Shirke
    Very precise and cleanly thought. It goes into technical details which I like since I have a Comp Sci degree with over 20 years of experience. At first I thought it was overwhelming, but I realize that I am able to associate it with previous experience including the 1.5 years on a data science team supporting Data Scientist with Anaconda, and Jupyter Notebooks

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