Python Data Analysis: Import, Wrangle, Explore, Model & Evaluate
In this module, you will learn how to understand data and learn about how to use the libraries in Python to help you import data from multiple sources. You will then learn how to perform some basic tasks to start exploring and analyzing the imported data set.
Data Analysis & Python Courses Online
Transform you career with Coursera's online Data Analysis & Python courses. Enroll for free, earn a certificate, and build job-ready skills on your schedule. Join today!
Data Analysis with Python Specialization - Coursera
The Data Analysis specialization will provide a comprehensive overview of various techniques for analyzing data. The courses will cover a wide range of topics, including Classification, Regression, Clustering, Dimension Reduction, and Association Rules.
Data Science Fundamentals with Python and SQL - Coursera
Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis. Apply Python fundamentals, Python data structures, and working with data in Python. Build a dashboard using Python and libraries like Pandas, Beautiful Soup …
Python Data Analytics - Coursera
You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to the Python library, Pandas, and how …
Data Analysis Using Python - Coursera
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib.
Data Analysis and Visualization with Python - Coursera
Description: This course delves into the world of data analysis with Python. You'll learn how to use libraries like pandas and Matplotlib to manipulate, analyze, and visualize data, extracting valuable insights and communicating findings effectively.
Data Analysis with Pandas and Python | Coursera
This course covers Python programming and data analysis with Pandas, including installation, core Python concepts, Series and DataFrame manipulation, text data handling, GroupBy methods, DataFrame merging, date and time management, I/O operations, data visualization, and Pandas customization.
Google Advanced Data Analytics Professional Certificate
Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months.
Python for Data Analysis: Pandas & NumPy - Coursera
In this hands-on project, we will understand the fundamentals of data analysis in Python and we will leverage the power of two important python libraries known as Numpy and pandas. NumPy and Pandas are two of the most widely used python libraries in data science.