Data Analysis Using NumPy and Pandas
About this Course
This course will introduce you to the world of data analysis. You'll learn how to go through the entire data analysis process, which includes:
You'll also learn how to use the Python libraries NumPy, Pandas, and Matplotlib to write code that's cleaner, more concise, and runs faster.
This course is part of the Data Analyst Nanodegree.Course Cost
Approx. 6 weeksSkill Level
Included in Product
Rich Learning Content
Taught by Industry Pros
What You Will Learn
Prerequisites and Requirements
To take this course, you should be comfortable programming in Python and familiar with Python concepts like classes, objects, and modules. The Introduction to Python Programming course would be a good place to start learning that material.
See the Technology Requirements for using Udacity.
Why Take This Course
This course is a good first step towards understanding the data analysis process as a whole. Before delving into each individual phase, it is important to learn the difference between all phases of the process and how they relate to each other. After taking this course, you will be better positioned to succeed in other courses in the Data Analyst Nanodegree program. For example, a student who started with Data Analysis with R, which covers the exploratory data analysis phase, might not understand at that point the difference between data exploration and data wrangling. By taking this course first, you will learn what each phase accomplishes and how it fits into the larger process.
This course also covers the Python libraries NumPy, Pandas, and Matplotlib, which are indispensable tools for doing data analysis in Python. Their many convenient functions and high performance make writing data analysis code a lot easier!
What do I get?
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Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:
Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
1) Importing Datasets
Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:
Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.
If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.
LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
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Which Python course is best for data analysis?
Out of roughly 3000 offerings, these are the best Python courses according to this analysis:.
Learn Python by Codecademy..
Introduction to Python Programming by Udacity..
Programming for Everybody (Getting Started with Python) by Coursera..
Introduction to Python for Data Science by Datacamp..
How do I learn data analysis in Python?
How to Learn Python for Data Science.
Step 1: Learn Python fundamentals. Everyone starts somewhere. ... .
Step 2: Practice with hands-on learning. ... .
Step 3: Learn Python data science libraries. ... .
Step 4: Build a data science portfolio as you learn Python. ... .
Step 5: Apply advanced data science techniques..
Can I do data analysis in Python?
In the Data Analysis with Python Certification, you'll learn the fundamentals of data analysis with Python. By the end of this certification, you'll know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Is there any free course for Python?
Learn Python - Full Course for Beginners In this freeCodeCamp YouTube Course, you will learn programming basics such as lists, conditionals, strings, tuples, functions, classes and more. You will also build several small projects like a basic calculator, mad libs game, a translator app, and a guessing game.