Tools for Data Science

Categories: Data Programs, Data Science Professional Certificate

Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.

Course Content

Module 1: Overview of Data Science Tools

Course Introduction

00:00
Categories of Data Science Tools

00:00
Open Source Tools for Data Science – Part 1

00:00
Open Source Tools for Data Science – Part 2

00:00
Commercial Tools for Data Science

00:00
Cloud Based Tools for Data Science

00:00

2 readings

2 quizzes

1 plugin

Module 2: Languages of Data Science

1 reading

2 quizzes

Module 3: Packages, APIs, Datasets and Models

1 reading

2 quizzes

2 plugins

Module 4: Jupyter Notebooks and JupyterLab

1 reading

2 quizzes

3 app items

2 plugins

Module 5: RStudio and GitHub

2 readings

3 quizzes

5 app items

3 plugins

Module 6: Create and Share your Jupyter Notebook

Module 7: (Optional) Watson Studio

1 reading

1 quiz

1 app item

2 plugins

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