2.1 Advanced Python Data Preparation using Pandas and NumPy in cloud
2.1 Advanced Python Data Preparation using Pandas and NumPy in cloud environment -and- 1:1 use case support to apply learning (10-20 hours)
Application of statistics tools in python using Google Colab similar to Jupyter notebook. Application using all other tools available with specialization using python. (10-20 hours)
Advanced Python Data Preparation using Pandas and NumPy in cloud environment -and- 1:1 use case support to apply learning (10-20 hours)
- Objectives of Advanced Python Data Preparation course will enable participants to select, recommend and perform Python Pandas and NumPy in cloud environment.
- Five (5) 2.5 hours sessions; 2.0 hour session integrated with coding exercises; 0.5 hour summary session to apply learning.
- Material provided in MS Powerpoint, Google Slides and Python Google Colab environment with prepared code; see enrollment email for instructions.
- Complimentary 4-hour 1:1 applied learning / use case support included; additional support can be purchased in 4-week blocks from www.analyticsforliving.org.
Session 1: Python, Google Colab, Jupyter Notebook and Numpy
NumPy - core library for scientific computing in Python providing high-performance multidimensional array object, and tools for working these arrays in cloud.
Session 2: Python Data Preparation Numpy and Pandas
Pandas - provides fast, flexible and expressive data structures designed to work with relational, other wise called labeled in the cloud.
Session 3: Python Data Preparation with Pandas and use cases using Numpy with Pandas
Numpy and Pandas Use Cases: Cloud, Data Preparation, Ad Hoc, Automation, Efficiencies
Session 4: Advanced Python Data Preparation and Visualization
- GGPlot2 - system for creating graphics based on a catalog of graphics.
- MatPlotLib - library for creating static, animated, and interactive visualization using python in the cloud.
- Seaborn - visualization library based on matplotlib providing interface for drawing informative statistical graphics.
- Scipy - library to solve scientific and mathematical problems.
Session 5: Advanced Python Use Cases Course Sessions
- Solving problems using python learned skills from Data Preparation, Cloud, Scientific Mathematical Statistical solution, Visualization and Introduction to Machine Learning and Natural Language Processing
- Scikit Learn introduction - library to implement machine learning models and statistical modeling including regression, classification, clustering and statistical tools.
1:1 Sessions: Use Case support to apply Advanced Python Learning
- Use case support to apply learning to your custom business challenges using illustrative data to support your application and success.
- Support available in your time zone and able to connect via google live meeting. (4-hours within 4 weeks of purchase)
Note: Prerequisite 1.1 Statistics for Data Science with Python
Submit enrollment for customized quote of business needs. Proposal and introductory meeting will be scheduled within 24-48 hours.
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.
Develop advanced data preparation skills with this comprehensive 10-20 hour course. Get hands-on experience with Pandas and NumPy in a cloud environment, plus 1:1 use case support to apply your learning. Explore the potential of Python's statistical tools and see the full power of the cloud.
Unlock the power of data preparation using Python's Pandas and NumPy libraries, all from a cloud environment. Receive 1:1 use case support to apply up to 10-20 hours of learning. Get the full insight of your data with advanced libraries in an efficient and secure cloud environment.
This 2.1 Advanced Python Data Preparation course gives you all the tools and techniques you need to select, recommend, and perform Python Pandas and NumPy operations in a cloud environment. With 1:1 use case support for up to 10-20 hours, you can apply your learning immediately. Discover the power of Python Pandas and NumPy today!
Master data preparation techniques with this online course that uses advanced Python tools like Pandas and NumPy. Get 10-20 hours of 1:1 use case support to help apply your learning. The course includes five 2.5-hour sessions, a 2.0-hour session with coding exercises, and a 0.5-hour summary session.
This 10-20 hour advanced Python data preparation program offers five 2.5-hour sessions and two additional hours of integrated coding exercises. The program culminates with a 0.5-hour summary session to apply the learning. The cloud environment allows for a flexible, anytime, anywhere learning experience. With 1:1 use case support, you'll be equipped with the necessary skills to master Python data preparation.
Learn data preparation with Pandas and NumPy in a cloud-based environment with expert guidance. Receive the material both as MS Powerpoint and Google Slides, and practice in a Python Google Colab environment with prepared code. Benefit from 1:1 use case support to apply your newly-learned skillset over 10-20 hours.
This advanced 10-20 hour course teaches Python data preparation using Pandas and NumPy tools in a cloud environment. Complimentary 4-hour 1:1 applied learning and use case support is included to help learners apply their learning. Additional support can be purchased in blocks of 4 weeks from www.analyticsforliving.org.
Session 1: Python, Google Colab, Jupyter Notebook and Numpy. Learn data preparation and Manipulation in Python using Pandas and NumPy with our 2.1 Advanced Python Data Preparation course. We will cover core library for scientific computing in Python, including high-performance multidimensional array and tools for working in a cloud environment. Plus, you'll receive one-on-one use case support to apply your learning for up to 20 hours.
Session 2: Python Data Preparation Numpy and Pandas. Learn advanced techniques to prepare data with Python in a cloud environment. This course covers the powerful data analysis libraries NumPy and Pandas and offers 1:1 use case support to ensure learning success. Perfect for data scientists and engineers who need to create data models quickly and efficiently.
Session 3: Python Data Preparation with Pandas and use cases using Numpy with Pandas. This 2.1 advanced course offers specialized instruction on Python data preparation using Pandas and NumPy in a cloud environment. Further, it provides 1:1 use case support to apply learning with 10–20 hours of dedicated instruction. Topics include Numpy and Pandas use cases from cloud, data preparation, ad hoc analysis, automation, and increasing efficiency.
Session 4: Advanced Python Data Preparation and Visualization. This 10-20 hour course provides an in-depth training on using the Python-based cloud environment for advanced data preparation and visualization. You'll learn the GGPlot2 system, MatPlotLib library, Seaborn library, and Scipy library to create static, animated, and interactive graphics. Plus, get 1:1 use case support to apply your learning.
Session 5: Advanced Python Use Cases Course Sessions. This comprehensive course featuring advanced Python data preparation and NumPy in a cloud computing environment provides tools to tackle real-world use cases. Get hands-on experience working with Data Preparation, Cloud, Scientific Mathematical Statistics, Visualization, Machine Learning, and Processing with Scikit Learn libraries. Put your skills to the test with 10-20 hours of 1:1 support and use case practice.
1:1 Sessions: Use Case support to apply Advanced Python Learning. Receive personalized 1:1 sessions and use case support to apply Advanced Python Learning with Pandas and NumPy in a cloud environment. These 4-hour sessions are within 4 weeks of purchase and available in your local time zone. Use illustrative data to shape your application for success.
Boost your data preparation skills with this advanced training program in Python, Pandas, and NumPy. Receive a customized quote and schedule a proposal and introductory meeting within 48 hours. Get 1:1 use case support for up to 20 hours to apply your learning.
Equip yourself with the powerful tools of advanced Python data preparation using Pandas and NumPy in cloud environment! Our program includes a 10-20 hour 1:1 use case support, with prerequisite 1.1 Statistics for Data Science with Python. Gain valuable hands-on experience and learn the essential skills to become an expert in data preparation.