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Overview
This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization.
This Basic Data Processing and Visualization course offered by Coursera in partnership with UC San Diego will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models.
At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
What you will learn
- Develop data strategy and process for how data will be generated, collected, and consumed
- Load and process formatted datasets such as CSV and JSON.
- Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.
- Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests
Skills you'll gain
- Computer Programming
- Python Programming
- Data Analysis
- Programming Principles
- Data Visualization
Programme Structure
Courses include:
- Data Products
- Reading Data in Python
- Data Processing in Python
- Python Libraries and Toolkits
- Final Project
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Data Science & Big Data Machine Learning View 525 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- Basic knowledge of programming (any language)
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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