This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT ...
engineer looking to break into the field or an experienced professional seeking to enhance your Python skills, this Track is designed to meet your needs. With a focus on hands-on learning and real-world applications, you'll gain the confidence and expertise to tackle diverse data engineering ...
Data Analytics and Visualization: Using data for analysis and creating visualizations to communicate insights effectively. Familiarity with tools like Tableau, Power BI, or programming languages like Python and R. Understanding the fundamentals of data engineering is crucial for professionals working in dat...
- Demonstrate your Skills in Python - the language of choice for Data Engineering - Implement Webscraping, and use APIs to extract data in Python - Play the role of a Data Engineer working on a real project to extract, transform and load data using Jupyter notebook and Watson Studio Syllabu...
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 5h 26m | Size: 581 MB Get up and running with the basics of Python before progressing to more advanced topics specific to data engineering. In this hands-on, interactive course, join instructor Deepak Goyal to...
It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers, and other tasks common in science and engineering. 26. SCOOP SCOOPis a Python module for distributing concurrent parallel tasks on various environments, fr...
visualizationchartsdata-scienceanalyticsdata-visualizationdata-engineeringdata-analysisbusiness-analyticsdata-analysis-pythonflyfish UpdatedJun 11, 2024 JavaScript stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition Sponsor Star622 Materials for following along with Hands-On Data Analysis with Pandas – ...
Feature Engineering Vincent Warmerdam: Untitled12.ipynb - Using df.pipe() Vincent Warmerdam: Winning with Simple, even Linear, Models sklearn - Pipeline, examples. pdpipe - Pipelines for DataFrames. scikit-lego - Custom transformers for pipelines. categorical-encoding - Categorical encoding of variab...
The Specialization features a capstone project focused on using Databricks’ API to replicate an existing project. This provides hands-on experience working with Databricks to build a portfolio-ready data solution. You will apply Python to a variety of data engineering tasks. ...
We’re excited to announce that native support for evaluating Data Agents through the Fabric SDK is now available in Preview. You can now run structured evaluations of your agent’s responses using Python — directly from notebooks or your own automation