IBM - Tools for Data Science

4.5 /5

(8 Ratings)

Offered byCoursera

Tools for Data Science
at
Coursera
Overview

Duration	22 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Tools for Data Science
at
Coursera
Highlights

36% started a new career after completing these courses.
39% got a tangible career benefit from this course.
20% got a pay increase or promotion.
Earn a shareable certificate upon completion.

Tools for Data Science
at
Coursera
Course details

Skills you will learn

Open source R Python Data Science Apache GIT Statistics Scala

More about this course

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.
LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

Tools for Data Science
at
Coursera
Curriculum

Data Scientist's Toolkit

Course Introduction

Languages of Data Science

Introduction to Python

Introduction to R Language

Introduction to SQL

Other Languages

Categories of Data Science Tools

Open Source Tools for Data Science - Part 1

Open Source Tools for Data Science - Part 2

Commercial Tools for Data Science

Cloud Based Tools for Data Science

Libraries for Data Science

Application Programming Interfaces (API)

Data Sets - Powering Data Science

Sharing Enterprise Data - Data Asset eXchange

Machine Learning Models

The Model Asset Exchange

Practice Quiz - Languages

Practice Quiz - Tools

Practice Quiz - Packages, APIs, Data Sets, Models

Graded Quiz

Open Source Tools

Overview of Git/GitHub

GitHub - Getting Started

GitHub - Working with Branches

Git and GitHub via command line (Optional)

Branching and merging via command line (Optional)

Contributing to repositories via pull request (Optional)

Getting Started with Jupyter Notebook

Getting Started with JupyterLab

Jupyter Architecture

What is RStudio IDE?

Installing Packages and Loading Libraries in RStudio IDE

Plotting Within RStudio IDE

Practice Quiz - GitHub

Practice Quiz - Jupyter Notebook

Practice Quiz - RStudio IDE

Graded Quiz

IBM Tools for Data Science

What is IBM Watson Studio?

Watson Studio Introduction

Creating an Account on IBM Watson Studio

Jupyter Notebook in Watson Studio - Part 1

Jupyter Notebook in Watson Studio - Part 2

Linking GitHub to Watson Studio

Other IBM Tools for Data Science

IBM Watson Knowledge Catalog

Data Refinery

SPSS Modeler Flows in Watson Studio

IBM SPSS Modeler

SPSS Statistics

Model Deployment with Watson Machine Learning

Auto AI in Watson Studio

IBM Watson OpenScale

Practice Quiz - Watson Studio

Practice Quiz - Other IBM Tools

Graded Quiz

Final Assignment: Create and Share Your Jupyter Notebook

IBM Digital Badge

Tools for Data Science
at
Coursera
Admission Process

Important Dates

May 25, 2024

Course Commencement Date

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Students Ratings & Reviews

4.5/5

8 Ratings

4-5
5
3-4
2
2-3
1

JAGDISH DILIP CHAVAN

Tools for Data Science

Offered by Coursera

Learning Experience: Cource content is really great with dedicated platform and training is also career oriented

Faculty: Faculty approach is also good Resources, assessment, structure, assignments are upto date

Course Support: Its just for knowledge and resume purpose

Reviewed on 10 Sep 2022Read More

Aditya Mayekar

Tools for Data Science

Offered by Coursera

Learning Experience: Learning Experience was great along with the content, videos & mentors, specially live classes. The content, videos & examples used were pretty awesome, easy to understand. Pace of the program was also moderate to catch up with

Faculty: Faculty was quite polite & approachable, doubt solving was apt & amazing Course Curriculum was timely updated & notifications were quite prominent to keep us on the edge

Course Support: No, that's something I am a little upset with after delivering such an excellent session, Job Assistance or Job Fair should have been by default.

Reviewed on 12 Aug 2022Read More

pritee

Tools for Data Science

Offered by Coursera

Learning Experience: amazing and quite interesting

Faculty: ya there was peers in this course, there was no any live session and quality of lectures is also good yes I like the presentation and the teaching way, in this course the videos are there with the therotical part as well there are quizes also there

Course Support: no

Reviewed on 24 Jul 2022Read More

Abhinav A B

Tools for Data Science

Offered by Coursera

Learning Experience: It was a great experience to learn about the data analysing with the help of SQL server

Faculty: Faculty there was excellent... He used to teach each and every topics ina crystal clear way. They were giving me weekly assessment tests and Quiz questions so that i can learn more about data analysis

Course Support: Career support was helpful

Reviewed on 22 Jun 2022Read More

Ashfaque Ahmad

Tools for Data Science

Offered by Coursera

Other: Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. The course video contents and the tools versions are not the same, there are some significant differences videos should be updated

Reviewed on 8 Sep 2021Read More

View All 5 Reviews