Data Analyst to Data Scientist

What you will learn

The Data Analyst to Data Scientist journey takes a learner on a path that starts with courses covering areas that data analysts typically are involved with on a day to day basis. By the end of the 90+ hour journey, the learner will have worked up to visualization, APIs, machine learning and deep learning algorithms. Sign up for free access today and sample 7,151 courses, 110+ Practice Labs, and 10+ live online bootcamps across 67 subjects.


Python - Using Pandas to Work with Series & DataFrames

Course | 1h 11m 29s

Python has become the preferred programming language for data science. In this course, you will discover how to perform data transformations, data cleaning, and statistical aggregations using Pandas DataFrames.

Free Access

Python - Manipulating & Analyzing Data in Pandas DataFrames

Course | 44m 39s

Pandas is a Python software library used for data science and big data that is used for data manipulation and analysis. In this course, you will explore different ways to iterate over and sort Pandas DataFrames. Discover how to handle missing data and perform grouping operations, as well as how to combine data from different DataFrames using join and concatenate operations.

Free Access

LAB: Implementing Data Ops with Python

Practice Lab | 8h

Perform data ops tasks with Python including working with row subsets, creating new columns with Regex, performing joins and spreading rows. Then, test your skills by answering assessment questions after working with field subsets and computed columns, and performing set operations and binding rows. This lab provides access to several tools commonly used in data science, including VS Code, Anaconda, Jupyter Notebook + JupyterHub, Pandas, NumPy, SiPy, Seaborn Library, and Spyder IDE.

Dig Deeper

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