Get Started with Python

This course is part of Google Advanced Data Analytics Professional Certificate

Instructor: Google Career Certificates

What you'll learn

  •   Explain how Python is used by data professionals
  •   Explore basic Python building blocks, including syntax and semantics
  •   Understand loops, control statements, and string manipulation
  •   Use data structures to store and organize data 
  • Skills you'll gain

  •   Data Structures
  •   Data Analysis
  •   Data Manipulation
  •   Pandas (Python Package)
  •   Algorithms
  •   Programming Principles
  •   Scripting
  •   Object Oriented Programming (OOP)
  •   Jupyter
  •   Python Programming
  •   NumPy
  • There are 5 modules in this course

    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

    Functions and conditional statements

    Loops and strings

    Data structures in Python

    Course 2 end-of-course project

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