In today's data-driven world, Python is an essential tool for unlocking insights. This Specialization will guide you from a Python beginner to someone who can confidently apply Python to solve complex data problems. You'll gain hands-on experience with core Python syntax, data structures, and essential libraries like NumPy and pandas.
Google experts will guide you through this Specialization 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.
You will learn to:
Frame analysis problems using structured thinking and SMART questions
Write efficient Python code in Jupyter Notebooks, mastering variables, functions, and data structures
Manipulate and analyze datasets with pandas and NumPy, learning to filter, group, and aggregate data
Clean and prepare real-world data, handling missing values and validating data quality
Summarize and interpret data using descriptive statistics to support business decisions
By the time you're finished, you'll be able to confidently apply Python to solve complex data problems and communicate your findings to stakeholders.
Applied Learning Project
Apply your Python skills through hands-on projects that simulate real data professional workflows. You'll work with authentic datasets to perform exploratory data analysis, implement data cleaning and validation techniques, and create reusable code solutions that address common data challenges in professional settings.