Coursera – Google Data Analysis with Python Specialization

Solve complex data problems with Python.. Learn to frame analysis problems, write Python code, analyze datasets with pandas and NumPy.
What you'll learn
Learn Python programming fundamentals including syntax, functions, loops, and data structures
Apply exploratory data analysis techniques to discover insights and approaches to cleaning real-world datasets
Use industry-standard Python libraries (NumPy, pandas) for professional data manipulation workflows
Write clean and efficient Python code in Jupyter Notebooks, mastering variables, functions, and data structures
Skills you'll gain
Software Design
Algorithms
Computational Logic
Data Structures
Data Transformation
Data Validation
Unstructured Data
JSON
Data Import/Export
Data Wrangling
Data Science
Computer Programming
Mathematical Software
Package and Software Management
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.
Homepage

https://www.coursera.org/specializations/google-data-analysis-with-python

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