32 hours for 8 weeks: Advanced Analytics Python Cloud 1:1 Use Case Learning Service

32 hours for 8 weeks:  Advanced Analytics Python Cloud Use Case Learning Service. Our Advanced Analytics Python Cloud Use Case Learning Service offers 32 hours of cloud use case training over 8 weeks. With our service, you can learn the fundamentals of Python cloud analytics and develop the skills necessary to successfully implement cloud-based solutions. Hours support applied learning of advanced analytics learning coursework to support use cases to solve business needs. This 8-week program with 32 hours of support facilitates the advanced analytics education required to meet business objectives by solving use cases. Sample data will be created, shared or used to enable incorporation of Python code and uses cases via Google Cloud Colab which is transferable to Python Jupyter notebook. Gain advanced analytics knowledge with our 8-week Python Cloud Use Case Learning Service. Receive hands-on experience with sample data and learn how to incorporate Python code into Google Cloud Colab and Jupyter notebooks. 32 hours of instruction and practice provided. 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.  Leverage expert analytics services with our 32-hour, 8-week Python learning service. Customers can easily schedule appointment times in EST and IST via the Analytics for Living calendar, with extended weekend hours available upon request. 24-hour advance appointment and support options are available, with questions and code sharing via the email and Google Drive platform utilizing one hour per request. 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.   Our 32 hours for 8 weeks Advanced Analytics Python Cloud Use Case Learning Service is designed to meet your professional goals. Hours are booked for individual use and allocated on a four-week basis, expiring after each four-week period. This service offers an efficient way to gain the knowledge and experience you need. 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 Our 32 hours for 8 weeks Advanced Analytics Python Cloud Use Case Learning Service is perfect for data science aspirants with prior 12-week Advanced Analytics Learning or use of Use Case Learning Service Hours. This service provides 1:1 use case support to apply learning and covers Statistics for Data Science with Python, Data Preparation using Python Pandas and NumPy in cloud environment, and Machine Learning using Python in cloud environment.   Courses:   1.1 Statistics for Data Science with Python in cloud environment 2.1 Advanced Python Data Preparation using Pandas and NumPy in cloud environment 3.1 Machine Learning using Python in cloud environment This comprehensive course helps ensure proficiency in cloud computing, data analysis and machine learning, so you can make the most of your data-driven initiatives.   1.1 Statistics for Data Science with Python - Gain the skills you need to implement your data science projects with Statistics for Data Science with Python. With 10 hours of personalized support from experts, you'll get step-by-step guidance on using Python to extract and analyze data, plus become comfortable using Google Colab and Jupyter Notebooks for all your data science needs. 2.1 Advanced Python Data Preparation using Pandas and NumPy in cloud environment. Course 2.1 offers advanced instruction in Python Data Preparation using the Pandas and NumPy frameworks in a cloud environment. It also provides up to 20 hours of 1:1 use case support to enable you to directly apply your learning. Harness the power of this industry-standard toolset and get the support you need to become an expert in data preparation. 3.1 Machine Learning using Python in cloud environment. Learn to apply machine learning to real-world problems with this 15-25 hour online course. Gain the skills to select, recommend, and perform machine learning using Python in the cloud environment. Benefit from the included 1:1 use case support to help you succeed.