Python for Data Analysis: Pandas & NumPy

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Python for Data Analysis: Pandas & NumPy
at
Coursera
Overview

Duration	2 hours
Mode of learning	Online
Difficulty level	Beginner
Credential	Certificate

Python for Data Analysis: Pandas & NumPy
at
Coursera
Course details

Skills you will learn

Python Operations Data analysis Data Science

What are the course deliverables?

With this guided project, students will:
Understand python programming fundamentals for data analysis
Define single and multi-dimensional NumPy arrays
Import HTML data in Pandas DataFrames

More about this course

In this hands-on project, learner 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
They offer high-performance, easy to use structures and data analysis tools

Python for Data Analysis: Pandas & NumPy
at
Coursera
Curriculum

Task #1: define single and multi-dimensional NumPy arrays

Task #2: leverage NumPy built-in methods and functions

Task #3: perform mathematical operations in NumPy

Task #4: perform arrays slicing and indexing

Task #5: perform elements selection (conditional)

Task #6: understand pandas fundamentals

Task #7: pandas with csv and html data

Task #8: pandas operations

Task #9: pandas with functions

Task #10: perform sorting and ordering in pandas

Python for Data Analysis: Pandas & NumPy
at
Coursera
Faculty details

Ryan Ahmed, Adjunct Professor & AI Enthusiast

Ryan Ahmed is a professor who is passionate about education and technology. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business. Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 70,000+ students globally. He has over 25 published journal and conference research papers on state estimation, AI, Machine learning, battery modeling and EV controls. He is the co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA.