What you will learn in Get Started with Python By Google Course
Understand how Python is utilized by data professionals in various industries.
Explore fundamental Python concepts, including syntax, semantics, variables, and data types.
Implement control structures such as loops and conditional statements to manage program flow.
Manipulate strings and utilize data structures like lists, tuples, dictionaries, and sets.
Import and apply Python libraries such as NumPy and pandas for data analysis tasks.
Program Overview
Hello, Python!
⏱️3 hours
- Introduction to Python and its applications in data analysis.
- Understanding object-oriented programming concepts: objects, classes, methods, and attributes.
- Working with variables and data types.
- Utilizing Jupyter Notebooks for interactive coding.
Functions and Conditional Statements
⏱️3 hours
Defining and invoking functions to perform specific tasks.
Implementing conditional statements to control program execution based on logical conditions.
Writing clean and reusable code.
Data Structures
⏱️6 hours
- Exploring data structures such as lists, tuples, dictionaries, and sets.
- Organizing and managing data efficiently using appropriate structures.
Working with Libraries
⏱️8 hours
- Importing and utilizing Python libraries like NumPy and pandas.
- Performing data analysis tasks, including data loading, cleaning, and binning.
- Applying library functions to real-world datasets.
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Job Outlook
- Proficiency in Python is essential for roles such as Data Analyst, Data Scientist, and Machine Learning Engineer.
- Skills acquired in this course are applicable across various industries, including technology, healthcare, finance, and more.
- Completing this course can enhance your qualifications for positions that require expertise in data analysis and Python programming.
Specification: Get Started with Python By Google
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FAQs
- The course comprises 5 modules, including hands-on assignments and practice labs.
- A reputable source estimates a total duration of around 25 hours.
- Coursera recommends a pace of 2 weeks at 10 hours per week, meaning it’s flexible for self-paced learning.
- Learners can take more or less time, depending on their schedule and pace.
- You’ll gain proficiency in:
- Experienced Python building blocks like syntax, variables, data types, loops, functions, and conditional statements.
- Working with data structures: lists, tuples, dictionaries, and sets.
- Using key data libraries like NumPy and pandas for data manipulation.
- Leveraging Jupyter Notebooks to write and execute Python interactively.
Strengths:
- Delivers job-relevant skills authored by professionals at Google.
- Includes hands-on labs and real-world examples designed for aspiring data analysts.
- Highly rated on Coursera with a score of 4.8 from 1,670 reviews.
Limitations:
- Focuses on foundational Python and isn’t designed to teach advanced programming or software engineering.
- Best used in conjunction with broader data analytics learning paths, like the full Google Professional Certificate.
- Ideal for aspiring data analysts, business professionals, or anyone transitioning into analytics, especially those who completed the Google Data Analytics Certificate.
- Reinforces your foundation in Python—a key skill for data-driven roles.
- Upon completion, earn a shareable Coursera certificate that enhances your resume or LinkedIn profile.
