Tutorials > Coursera - Google Data Analysis With Python Specialization
Coursera - Google Data Analysis With Python SpecializationDate: 29 September 2025 | Posted by: 0nelove |
![]() Coursera - Google Data Analysis With Python Specialization Released 9/2025 By Google Professional Certificates MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 58 Lessons ( 5h 46m ) | Size: 1.4 GB 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. https://rapidgator.net/file/e3275de172c4003ae9217b7d3a8b22ae/Google_Data_Analysis_with_Python_Specialization.part2.rar.html
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