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Get Started with Python
  • Level Expert
  • Duration 31 hours
  • Course by Google
  • Offered by

About

This is the second of seven courses in the Google Advanced Data Analytics Certificate. The Python programming language is a powerful tool for data analysis. In this course, you’ll learn the basic concepts of Python programming and how data professionals use Python on the job. You'll explore concepts such as object-oriented programming, variables, data types, functions, conditional statements, loops, and data structures. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Define what a programming language is and why Python is used by data scientists -Create Python scripts to display data and perform operations -Control the flow of programs using conditions and functions -Utilize different types of loops when performing repeated operations -Identify data types such as integers, floats, strings, and booleans -Manipulate data structures such as , lists, tuples, dictionaries, and sets -Import and use Python libraries such as NumPy and pandas

Modules

Get started with the course

    • 4 Videos
    • 2 Readings
    • 1 Quiz
Show info about module content

4 Videos

  • Introduction to Course 2
  • Welcome to module 1
  • Adrian: My path to a data career
  • Introduction to Python

2 Readings

  • Helpful resources and tips
  • Course 2 overview

1 Quiz

  • Test your knowledge: Get started with the course

The power of Python

    • 4 Videos
    • 3 Readings
    • 1 Quiz
    • 1 Lab
Show info about module content

1 Labs

  • Annotated follow-along guide: Hello, Python!

4 Videos

  • Discover more about Python
  • Jupyter Notebooks
  • Object-oriented programming
  • Hamza: How Python helped my data science career

3 Readings

  • Python versus other programming languages
  • How to use Jupyter Notebooks
  • More about object-oriented programming

1 Quiz

  • Test your knowledge: The power of Python

Use Python syntax

    • 3 Videos
    • 1 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Use Python syntax
  • Exemplar: Use Python Syntax

3 Videos

  • Variables and data types
  • Create precise variable names
  • Data types and conversions

1 Readings

  • Explore Python syntax

1 Quiz

  • Test your knowledge: Using Python syntax

Review: Hello, Python!

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from Module 1

1 Quiz

  • Module 1 challenge

Functions

    • 5 Videos
    • 1 Readings
    • 1 Quiz
    • 3 Lab
Show info about module content

3 Labs

  • Annotated follow-along guide: Functions and conditional statements
  • Activity: Functions
  • Exemplar: Functions

5 Videos

  • Welcome to module 2
  • Lateefat: Tips to address challenges when learning to code
  • Define functions and returning values
  • Write clean code
  • Use comments to scaffold your code

1 Readings

  • Reference guide: Functions

1 Quiz

  • Test your knowledge: Functions

Conditional statements

    • 2 Videos
    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Conditional statements
  • Exemplar: Conditional statements

2 Videos

  • Make comparisons using operators
  • Use if, elif, else statements to make decisions

2 Readings

  • Reference guide: Python operators
  • Reference guide: Conditional statements

1 Quiz

  • Test your knowledge: Conditional statements

Review: Functions and conditional statements

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from module 2

1 Quiz

  • Module 2 challenge

While loops

    • 3 Videos
    • 1 Readings
    • 1 Quiz
    • 3 Lab
Show info about module content

3 Labs

  • Annotated follow-along guide: Loops and strings
  • Activity: While loops
  • Exemplar: While loops

3 Videos

  • Welcome to module 3
  • Michelle: Approach problems with an analytical mindset
  • Introduction to while loops

1 Readings

  • Loops, break, and continue statements

1 Quiz

  • Test your knowledge: While loops

For loops

    • 2 Videos
    • 1 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: For loops
  • Exemplar: For loops

2 Videos

  • Introduction to for loops
  • Loops with multiple range() parameters

1 Readings

  • For loops

1 Quiz

  • Test your knowledge: For loops

Strings

    • 3 Videos
    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Strings
  • Exemplar: Strings

3 Videos

  • Work with strings
  • String slicing
  • Format strings

2 Readings

  • String indexing and slicing
  • String formatting and regular expressions

1 Quiz

  • Test your knowledge: Strings

Review: Loops and strings

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from module 3

1 Quiz

  • Module 3 challenge

Lists and tuples

    • 5 Videos
    • 3 Readings
    • 1 Quiz
    • 3 Lab
Show info about module content

3 Labs

  • Annotated follow-along guide: Data structures in Python
  • Activity: Lists & tuples
  • Exemplar: Lists & tuples

5 Videos

  • Welcome to module 4
  • Introduction to lists
  • Modify the contents of a list
  • Introduction to tuples
  • More with loops, lists, and tuples

3 Readings

  • Reference guide: Lists
  • Compare lists, strings, and tuples
  • zip(), enumerate(), and list comprehension

1 Quiz

  • Test your knowledge: Lists and tuples

Dictionaries and sets

    • 3 Videos
    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Dictionaries & sets
  • Exemplar: Dictionaries & sets

3 Videos

  • Introduction to dictionaries
  • Dictionary methods
  • Introduction to sets

2 Readings

  • Reference guide: Dictionaries
  • Reference guide: Sets

1 Quiz

  • Test your knowledge: Dictionaries and sets

Arrays and vectors with NumPy

    • 3 Videos
    • 3 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Arrays and vectors with NumPy
  • Exemplar: Arrays and vectors with NumPy

3 Videos

  • The power of packages
  • Introduction to NumPy
  • Basic array operations

3 Readings

  • Understand Python libraries, packages, and modules
  • Python’s new versions and features
  • Reference guide: Arrays

1 Quiz

  • Test your knowledge: Arrays and vectors with NumPy

Dataframes with pandas

    • 5 Videos
    • 3 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Dataframes with pandas
  • Exemplar: Dataframes with pandas

5 Videos

  • Introduction to pandas
  • pandas basics
  • Boolean masking
  • Grouping and aggregation
  • Merging and joining data

3 Readings

  • The fundamentals of pandas
  • Boolean masking in pandas
  • More on grouping and aggregation

1 Quiz

  • Test your knowledge: Dataframes with pandas

Review: Data structures in Python

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from module 4

1 Quiz

  • Module 4 challenge

Apply your skills to a workplace scenario

    • 2 Videos
    • 1 Readings
Show info about module content

2 Videos

  • Welcome to module 5
  • Introduction to your Course 2 end-of-course portfolio project

1 Readings

  • Explore your Course 2 workplace scenarios

Automatidata scenario

    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Course 2 Automatidata project lab
  • Exemplar: Course 2 Automatidata project lab

2 Readings

  • Course 2 end-of-course portfolio project overview: Automatidata
  • Activity Exemplar: Create your Course 2 Automatidata project

1 Quiz

  • Activity: Create your Course 2 Automatidata project

TikTok scenario

    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Course 2 TikTok project lab
  • Exemplar: Course 2 TikTok project lab

2 Readings

  • Course 2 end-of-course portfolio project overview: TikTok
  • Activity Exemplar: Create your Course 2 TikTok project

1 Quiz

  • Activity: Create your Course 2 TikTok project

Waze scenario

    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Course 2 Waze project lab
  • Exemplar: Course 2 Waze project lab

2 Readings

  • Course 2 end-of-course portfolio project overview: Waze
  • Activity Exemplars: Create your Course 2 Waze project

1 Quiz

  • Activity: Create your Course 2 Waze project

End-of-course portfolio project wrap-up

    • 1 Videos
    • 1 Quiz
Show info about module content

1 Videos

  • End-of-course project wrap-up and tips for ongoing career success

1 Quiz

  • Assess your Course 2 end-of-course project

Course review: Get Started with Python

    • 1 Videos
    • 3 Readings
Show info about module content

1 Videos

  • Course wrap-up

3 Readings

  • Reflect and connect with peers
  • Course 2 glossary
  • Get started on the next course

Auto Summary

"Get Started with Python" is a dynamic course within the Google Advanced Data Analytics Certificate series. Tailored for those in Big Data and Analytics, it focuses on Python programming—a vital skill for data analysis. Guided by experienced Google professionals, you'll delve into object-oriented programming, data types, functions, loops, and data structures. Practical, hands-on activities will enhance your skills, preparing you for roles in data science and advanced analytics. The course lasts approximately 1860 minutes and is available through Coursera with Starter and Professional subscription options, designed for expert-level learners.

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