Data Analysis with Python

Coursera Data Analysis with Python

Platform
Coursera
Provider
IBM
Effort
2 hours/week
Length
6 weeks
Language
English
Credentials
Paid Certificate Available
Part of
Course Link
Overview
Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

Topics covered:

1) Importing Data sets
2) Cleaning the Data
3) Data frame manipulation
4) Summarizing the Data
5) Building machine learning Regression models
6) Building data pipelines

Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:

Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.

If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.

Syllabus
WEEK 1

Importing Datasets

WEEK 2
Data Wrangling

WEEK 3
Exploratory Data Analysis

WEEK 4
Model Development

WEEK 5
Model Evaluation

Taught by
Joseph Santarcangelo
Author
Coursera
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