Data Analysis with Python

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

• 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