Introduction to Data Science with Python
Beginner
85 Lessons
4h 10min
Certificate of Completion
Takeaway Skills
A deep familiarity with various data functions of Python
The ability to visualize statistical data using Matplotlib and Plotly libraries
A working knowledge of the pandas and NumPy libraries for data cleaning and analysis
A strong proficiency in the basics of data science and the Python programming language
Course Overview
Python is one of the most popular programming languages for data science and analytics. It’s used across a wide range of industries. It’s easy to learn, highly flexible, and its various libraries can expand functionality to natively perform statistical functions and plotting. This course is a comprehensive introduction to statistical analysis using Python. You’ll start with a step-by-step guide to the fundamentals of programming in Python. You’ll learn to apply these functions to numerical data. You’ll fir...Show More
Course Content
Introduction
Python Essentials
NumPy: Data Analysis
Pandas: Data Analysis
Matplotlib: Data Visualization
Seaborn: Statistical Data Visualization
14 Lessons
Pandas: Data Visualization
5 Lessons
Plotly: Interactive Data Visualization
3 Lessons
Project 1: Oil vs Banks During Recession
7 Lessons
Project 2: Emergency Calls Dataset
7 Lessons
In Closing
1 Lesson
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