Data Science – The Complete Guide (incl. Python & R)
- 3.1
-
![]()
![]()
![]()
Brief Introduction
Learn how to develop and deploy your data science projects with the most popular end-to-end platform - Anaconda.Description
Welcome to this course: Data Science – The Complete Guide (incl. Python & R). Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. This course gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world.
In this course, you'll learn:
Understanding the Key Concepts
Learn and Understand Python Pandas
Learn and Understand Bokeh
Learn How to Manage Packages
Machine Learning With Scikit-Learn
Learn How to Analyze your data efficiently with the most powerful data science stack
Learn How to Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda
At the end of the course, you'll have an in-depth understanding of how to use Anaconda to find solutions for clustering, classification, and linear regression. So let's get started.
Requirements
- Requirements
- A PC or Mac
- Internet Access
Thinkahead Academy, LLC.
3.1 Raiting
Data Science & Real World Computing with Jupyter Notebook
- 3.6
-
![]()
![]()
![]()
![]()
![]()
Gain hands-on experience in data analysis and visualization with Jupyter Notebook Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents....
R: Neural Nets and CNN Architecture in R - Masterclass!
- 3.6
-
![]()
![]()
![]()
![]()
![]()
One stop guide to implement cutting-edge CNN architectures and build Neural Network models to solve complex problems! You’ll also apply supervised and unsupervised learning to your daily projects....
Data Science – The Complete Guide (incl. Python & R)
- 3.1
-
![]()
![]()
![]()
![]()
![]()
Learn how to develop and deploy your data science projects with the most popular end-to-end platform - Anaconda. Welcome to this course: Data Science – The Complete Guide (incl....
A Complete Guide to ArcGIS: 4 in 1
- 3.8
-
![]()
![]()
![]()
![]()
![]()
Learn various ArcGIS services and common issues to make web maps using data in your geodatabase Contents and Overview x....
