Data Science Tools
Learn about the most popular data science tools, including how to use them and what their features are.
ABOUT THIS COURSE
In this course, you’ll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.
With the tools hosted in the cloud, you will be able to test each tool and follow instructions to run simple code in Python or R. To complete the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio on Cloud and demonstrate your proficiency in preparing a notebook, writing Markdown, and sharing your work with your peers.
This hands-on course will get you up and running with some of the latest and greatest data science tools.
You will Learn:
How to use various data science and data visualization tools hosted on Skills Network Labs
How to use Jupyter Notebooks including its features and why it’s so popular
Popular tools used by R Programmers including RStudio IDE
IBM Watson Studio including its features and capabilities
How to create and share a Jupyter Notebook
COURSE SYLLABUS
Module 0 – Welcome and Course Introduction
Module 1 – Languages of Data Science
Module 2 – Data Science Tools
Module 3 – Packages, APIs, Data Sets and Models
Module 4 – GitHub
Module 5 – Jupyter Notebooks and JupyterLab
Module 6 – RStudio IDE
Module 7 – Watson Studio
You May Like
Autoencoders and Regularization – Learn and Implement
In this course, you'll explore how Autoencoders compress, denoise, and derive valuable features from data. You'll also delve into regularization to curb overfitting and...
Learn Recurrent Neural Networks Hands-On
In the real world, data often comes in sequences: text, speech, time-series data, and more. RNNs are the key to understanding and working with...
Convolutional Neural Networks with PyTorch
In this course you will gain practical skills to tackle real-world image analysis and computer vision challenges using PyTorch. Uncover the power of Convolutional...
Classification with PyTorch
Designed for students and enthusiasts, this course equips you with the knowledge and practical skills to build powerful and accurate classification models using PyTorch....
Generative Adversarial Networks and Reinforcement Learning
Generative adversarial networks (GANs) and Reinforcement Learning (RL) are highly sought-after skills in the job market. Companies across various industries are looking for professionals...
Course Features
- Lectures 0
- Quizzes 0
- Duration
- Skill level Principiante
- Language English
- Students 0
- Assessments Yes