What you will learn
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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