8 hours per 4 weeks: Advanced Analytics Python Cloud Use Case Learning Service
Analytics for Living
8 hours per 4 weeks: Advanced Analytics Python Cloud Use Case Learning Service. Gain advanced analytics knowledge to build your cloud-based use cases with this 8-hour learning service. Our experts provide comprehensive coverage of Python programming and cloud technology, giving you the tools to create powerful solutions for your organization. Take the next step in your analytics career today.
This service provides 8hrs of support for learning advanced analytics coursework, allowing businesses to utilize cloud-based solutions for specific use cases. Sample data will created, shared or used to enable incorporation of Python code and uses cases via Google Cloud Colab which is transferable to Python Jupyter notebook.
Customer schedules appointments via the Analytics for Living calendar application. Time zone available in EST and IST to support and balance solving business needs; weekend hours available upon request. A 24-hour advanced scheduled appointment is established with more readily available support upon request. Questions and sharing of code to test, refine and adjust is available via the email and google drive platform with most questions utilized one service hour pending on the request.
Gain advanced analytics experience with our 4-week, 8-hour Python Cloud Use Case Learning Service. Our calendar application allows customers to easily set appointments in EST or IST, with weekend hours available if requested. Our 24-hour advanced scheduled appointment ensures you get the support you need quickly, with extra help available if requested. All questions and code sharing can be done via email or Google Drive with most questions answered in one service hour.
Hours are used within the time period and expire on a 4-week basis; hours booked for greater than 4 weeks are allocated and expire on 4-week increments. This Advanced Analytics Python Cloud Use Case Learning Service provides 8 hours of learning services per 4-week cycle. Hours can be used and automatically expire on the 4-week basis, while any hours booked for longer than 4 weeks are allocated and expire on 4-week increments.
Prerequisite is prior 12-week Advanced Analytics Learning or use of Use Case Learning Service Hours:
- 1.1 Statistics for Data Science with Python -and- 1:1 use case support to apply learning
- 2.1 Data Preparation using Python Pandas and NumPy in cloud environment -and- 1:1 use case support to apply learning
- 3.1 Machine Learning using Python in cloud environment -and- 1:1 use case support to apply learning
This advanced analytics Python cloud use case learning service offers 8 hours of learning per 4 weeks. Prerequisites are prior 12-week advanced analytics learning and use of use case learning service hours. It includes 1.1 Statistics for Data Science with Python, 2.1 Data Preparation using Python Pandas and NumPy in the cloud environment, and 3.1 Machine Learning using Python in the cloud environment accompanied by 1:1 use case support to apply the learning.