About

EdX is an online learning platform trusted by over 12 million users offering the Analyzing Data with Python in collaboration with IBMx. In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

Overview

Learn how to analyze data using Python. This Analyzing Data with Python course at IBMx 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!

What you will learn

Import data sets, clean and prepare data for analysis, summarize data, and build data pipelines

Use Pandas, DataFrames, Numpy multidimensional arrays, and SciPy libraries to work with various datasets

Load, manipulate, analyze, and visualize dataset

Build machine-learning models and make predictions with scikit-learn

Programme Structure

Courses include:

Importing Data Sets

Data Wrangling

Exploratory Data Analysis

Model Development

Model Evaluation

Key information

Duration

Part-time
- 35 days
- 2 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Self-paced

Campus Location

Portland, United States

Disciplines

Computer Sciences Data Analytics View 177 other Short Courses in Data Analytics in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Some prior experience required

To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

99 USD / full

≈ 99 USD / full
Out-of-State

99 USD / full

≈ 99 USD / full

Additional Details

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Limited access: free

Funding

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