You will get Python for Engineering/Data Analytics from Zero to Expert
Project details
This course is aimed at people who want to learn how to use Python for efficient data transformation and preprocessing. What you will learn:
Basic concepts of Python for those who are taking their first steps in this language
NumPy library: how to understand the foundation behind all multidimensional arrays, indexing, filtering, replacement and other useful functions for creating and manipulating data.
Pandas library: one of the most used in the industry with many functionalities, many of them explained and applied with real use cases for data treatment. It contains from the most basic transformations to the most advanced and elegant.
Time series handling: this type of datasets have special care and a different treatment from conventional ones, in the course it is explained how to process them adequately for TSA applications.
Introduction to Apache Spark: a very important tool when it comes to parallelizing workloads and scaling to larger datasets and infrastructures.
Preprocessing with Scikit-Learn: a very powerful library designed to process features in Machine Learning, including explanations on categorical handling, data imputation, grouping, and dimensionality reduction.
Basic concepts of Python for those who are taking their first steps in this language
NumPy library: how to understand the foundation behind all multidimensional arrays, indexing, filtering, replacement and other useful functions for creating and manipulating data.
Pandas library: one of the most used in the industry with many functionalities, many of them explained and applied with real use cases for data treatment. It contains from the most basic transformations to the most advanced and elegant.
Time series handling: this type of datasets have special care and a different treatment from conventional ones, in the course it is explained how to process them adequately for TSA applications.
Introduction to Apache Spark: a very important tool when it comes to parallelizing workloads and scaling to larger datasets and infrastructures.
Preprocessing with Scikit-Learn: a very powerful library designed to process features in Machine Learning, including explanations on categorical handling, data imputation, grouping, and dimensionality reduction.
Data Tool
PythonWhat's included $20
These options are included with the project scope.
$20
- Delivery Time 1 day
- Number of Revisions 0
About Juan Camilo
Data Analyst | Data Scientist
Manizales, Colombia - 3:49 pm local time
machine learning, with a focus on time series forecasting, tabular data, tree-based gradient boosted models, and feature engineering.
Awarded a silver medal in the Kaggle competition "Optiver Trading at the Close."
Steps for completing your project
After purchasing the project, send requirements so Juan Camilo can start the project.
Delivery time starts when Juan Camilo receives requirements from you.
Juan Camilo works on your project following the steps below.
Revisions may occur after the delivery date.
Watch the course videos.
Further you purchase the course you watch all the videos and complete the exercises expoused.