About

This Data Analysis with Python offered by Coursera in partnership with IBM takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations.

Overview

As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. If you choose to take this Data Analysis with Python offered by Coursera in partnership with IBM you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement.

Key facts:

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts!This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions.

Programme Structure

Courses include:

Importing Datasets

Data Wrangling

Exploratory Data Analysis

Model Development

Model Evaluation

Final Assignment

IBM Digital Badge

Key information

Duration

Part-time
- 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Self-paced

Campus Location

Mountain View, United States

Disciplines

Computer Sciences Software Engineering Data Analytics View 525 other Short Courses in Computer Sciences 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

Beginner Level
You should have a working knowledge of Python and Jupyter Notebooks.

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

Free
Out-of-State

Free

Additional Details

Audit: free access to course materials except graded items
Certificate: a trusted way to showcase your skills
A year of unlimited access with Coursera Plus $399

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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Data Analysis with Python Coursera