Google Advanced Data Analytics Certificate: Python Programming for Data Analysis
This is the second course in the Google Advanced Data Analytics Certificate program. Python is a powerful and versatile programming language that is widely used by data professionals. In this course, you will learn the fundamental concepts of Python programming and how data scientists use Python to solve real-world problems.
Throughout the course, you will gain hands-on experience with Python through a variety of activities and exercises. You will also learn from Google employees who currently work in the field of data analytics. These experts will share their insights and best practices, helping you to develop the skills you need to succeed in your career.
By the end of this course, you will be able to:
- Define what a programming language is and why Python is a valuable tool for 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 and manipulate data types such as integers, floats, strings, and booleans
- Import and use Python libraries such as NumPy and pandas
This course is designed for learners who have prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. If you are looking to gain a deeper understanding of Python programming and how it can be used for data analysis, then this course is for you.
Enroll today and take the next step towards a career in data analytics!
| Week 1 | Hello, Python! |
| Week 2 | Functions and conditional statements |
| Week 3 | Loops and strings |
| Week 4 | Data structures in Python |
| Week 5 | Course 2 end-of-course project |