Data Analyst with Python – Data Science Course by DataCamp

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Level: Beginner
Duration: 47 Hours
Delivery: Online
Certification: Yes
Cost: 29
Course Provider: DataCamp

Overview

13 classes for one of the hottest career tracks available, beginning with an introduction to Python and covering all aspects of importing, cleaning and manipulating data in Python to extract relevant information from large datasets.

You will learn about creating a Python toolbox for data science, how to tidy, rearrange, and restructure your data using pandas, how to perform complex data visualisation techniques using Matplotlib and Seaborn, and much more or the essential theory and tools for a prospective data analyst.

Training Course Content

Intro to Python for Data Science

Master the basics of data analysis in Python. Expand your skill set by learning scientific computing with numpy.

Intermediate Python for Data Science

Level up your data science skills by creating visualisations using matplotlib and manipulating data frames with Pandas.

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Importing Data in Python (Part 1)

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Importing Data in Python (Part 2)

Improve your Python data importing skills and learn to work with web and API data.

Cleaning Data in Python

This course will equip you with all the skills you need to clean your data in Python.

pandas Foundations

Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

Manipulating DataFrames with pandas

You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.

Merging DataFrames with pandas

This course is all about the act of combining, or merging, DataFrames, an essential part your Data Scientist’s toolbox.

Introduction to Databases in Python

In this course, you’ll learn the basics of relational databases and how to interact with them.

Introduction to Data Visualisation with Python

Learn more complex data visualisation techniques using Matplotlib and Seaborn.

Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and to speak the language of your data.

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Who Is It For?

Beginners with some initial knowledge of basic math or statistics. However, most notions are discussed along the way. If you are interested in becoming a data analyst with Python, you can start here.

Cost

Free plan:

0 Access all free courses and the first chapter of the premium courses.

Yearly plan:

25/month Unlimited access to all DataCamp courses.

Monthly plan:

29/month Unlimited access to all DataCamp courses.

Payment Options

Scholarship opportunities available

About the Provider

Eight highly skilled instructors team up to teach this course for Udacity.

Udacity began as an experiment in online learning, when Stanford instructors Sebastian Thrun and Peter Norvig elected to offer their “Introduction to Artificial Intelligence” course online to anyone, for free. Over 160,000 students in more than 190 countries enrolled. The potential to educate at a global scale was awe-inspiring, and Udacity was founded to pursue a mission to democratize education. It would take several years of intensive iteration and experimentation to clarify our focus on career advancement through mastery of in-demand skills, but today, Udacity proudly offers aspiring learners across the globe the opportunity to participate in—and contribute to—some of the most exciting and innovative fields in the world.

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