Python for Data Analysts

This course covers the basics of getting started with Python, including the semantics of variables, simple and complex data types, and the use of loops for iteration and functions for code reuse. You will also conceptually understand some of Python’s strengths, relative to other technologies.
Course info
Rating
(47)
Level
Intermediate
Updated
Oct 29, 2019
Duration
3h 33m
Table of contents
Course Overview
Getting Started with Python for Data Analysis
Leveraging Built-in Functions and Complex Data Types
Using Python for Complex Interconnected Calculations
Implementing Code Reuse Using Functions in Python
Loading and Saving Data Using Python
Description
Course info
Rating
(47)
Level
Intermediate
Updated
Oct 29, 2019
Duration
3h 33m
Description

Python has exploded in popularity in recent years and has emerged as the technology of choice for data analysts and data scientists.

In this course, Python for Data Analysts, you will gain the ability to write Python programs and utilize fundamental building blocks of programming and data analysis. First, you will learn how programming languages such as Python, spreadsheets such as Microsoft Excel, and SQL-based technologies such as databases differ from each other, and also how they inter-operate.

Next, you will plunge into Python programming, installing Python and getting started with simple programs. You will then understand the ways in which variables are used to hold data, and how simple and complex data types in Python differ in their semantics.

Finally, you will round out your knowledge by working with conditional evaluation using if statements, loops and functions. You will learn how Python treats functions as first-class entities, a key enabler of functional programming.

When you’re finished with this course, you will have the skills and knowledge to identify situations when Python is the right choice for you, and to implement simple but solid programs using Python.

About the author
About the author

A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
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