Overview
This Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs Specialization is offered by Coursera in partnership with Google Cloud.
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Google Cloud
Skills you'll gain
- Cloud Data Fusion
- Data Management
- Data Pipelines
- Bigquery
- Data Processing
- SQL
- Data Visualization
- Data ingestion
- Data Analysis
- data
- Data Structure
- Data tables
- Data Warehouse
- Tensorflow
- Machine Learning
- Distributed Machine Learning
- Spark
Programme Structure
Courses include:
- To obtain additional information about the program, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Data Analytics View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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
- Recommended experience: You should have some familiarity with SQL and ML basics. Some course-based labs have recommended backgrounds. Please read them carefully.
Tuition Fees
-
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.