Tools for Data Science

BY
IBM via Coursera

Learn most popular data science tools and their features by enrolling in the Tools for Data Science offered by IBM on Coursera.

Lavel

Beginner

Mode

Online

Duration

7 Weeks

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Some popular data science tools used today include JupyterLab, RStudio IDE, Jupyter Notebooks, Git, GitHub, and more. Tools for Data Science by Coursera will introduce you to these data science tools and their features.

The Tools for Data Science certification is a part of a series of certification programmes related to data science and can be applied to different specialisations. Over the period of seven weeks, you will learn 18 hours of content in the form of video lessons and will receive extra readings and quizzes. You will have to create a final project at the end of the programme to showcase your skills and proficiency.

The Coursera Tools for Data Science programme is offered by IBM. It is easy to comprehend as it is a beginner-level course with flexible deadlines. You can earn digital badges and a shareable certificate that will help you enhance your resume and can be shared on LinkedIn.

The highlights

  • Data science programme
  • Enrol for free
  • Shareable certificate 
  • Digital badges
  • 100% online medium
  • Graded quizzes and assignments
  • Flexible deadlines
  • Beginner-friendly course 
  • Offered by IBM
  • Hands-on projects
  • Subtitles in multiple languages
  • Financial aid is provided

Program offerings

  • Enrol for free
  • Shareable certificate
  • Data science course
  • Digital badges
  • Flexible deadlines
  • Professional course
  • Beginner level
  • 100% online
  • Multiple language subtitles
  • Quizzes
  • Graded assignments
  • Financial aid available
  • Extra readings.

Course and certificate fees

The fees for course Tools for Data Science is - 


Certification 

Fee Amount in INR

Tools for Data Science (Audit)

Free

Tools for Data Science - 1 month

Rs.4,115 /- per month

Tools for Data Science - 3 months

Rs.2,743 /- per month

Tools for Data Science- 6 months

Rs.2,058 /- per month
certificate availability

Yes

certificate providing authority

Coursera

Eligibility criteria

You can achieve the certificate for Tools for Data Science training by completing the graded assignments and the curriculum. 

What you will learn

Data science knowledge R programming Knowledge of python

The Tools for Data Science syllabus course will help you get familiar with these concepts:

  • Toolkits used in data science
  • Open source tools
  • Data science tools 
  • Languages of data science
  • Introduction to Python and R languages

The syllabus

Module 1: Overview of Data Science Tools

Videos
  • Course Introduction
  • 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
Readings
  • Learning goals for the course
  • Module 1 Summary
  • Model Development
Assignments
  • Practice Quiz - Data Science Tools
  • Graded Quiz - Data Science Tools
Plugins
  • Open source tool board
  • Summary: Open Source Tools for Data Science

Module 2: Languages of Data Science

Videos
  • Languages of Data Science
  • Introduction to Python
  • Introduction to R Language
  • Introduction to SQL
  • Other Languages for Data Science
Reading
  • Module 2 Summary
Assignments
  • Practice Quiz - Languages
  • Graded Quiz - Languages

Module 3: Packages, APIs, Datasets and Models

Videos
  • Libraries for Data Science
  • Application Programming Interfaces (APIs)
  • Data Sets - Powering Data Science
  • Sharing Enterprise Data - Data Asset eXchange
  • Machine Learning Models – Learning from Models to Make Predictions
  • The Model Asset eXchange
Reading
  • Module 3 Summary
Quizzes
  • Practice Quiz - Libraries, APIs, Data Sets, Models
  • Graded Quiz - Libraries, APIs, Data Sets, Models
Plugins
  • Additional Sources of Datasets
  • Reading: Getting started with the Model Asset eXchange and the Data Asset Exchange

Module 4: Jupyter Notebooks and JupyterLab

Videos
  • Introduction to Jupyter Notebooks
  • Getting Started with Jupyter
  • Jupyter Kernels
  • Jupyter Architecture
  • Additional Anaconda Jupyter Environments
  • Additional Cloud Based Jupyter Environments
Reading
  • Module 4 Summary
Quizzes
  • Practice Quiz - Jupyter Notebooks and Jupyter Lab
  • Graded Quiz - Jupyter Notebooks and JupyterLab
App Items
  • Hands-on Lab: Getting Started with Jupyter Notebooks
  • Hands-on Lab: Using Markdown in Jupyter Notebooks
  • Hands-on Lab: Working with Files in Jupyter Notebooks
Plugins
  • (Optional):Hands-on Lab: Download & Install Anaconda
  • Jupyter Notebooks on the Internet

Module 5: RStudio & GitHub

Videos
  • Introduction to R and RStudio
  • Plotting in RStudio
  • Overview of Git/GitHub
  • Introduction to GitHub
  • GitHub Repositories
  • GitHub - Getting Started
  • GitHub Branches
  • GitHub - Working with Branches
App Items
  • R Basics with RStudio
  • Getting started with RStudio and Installing packages
  • Creating Data Visualizations using ggplot
  • Plotting with RStudio
  • [Optional] Getting Started with Branches using Git Commands
Plugins
  • Optional Reading: Download & Install R and RStudio
  • Hands-on Lab: Getting Started with GitHub
  • Hands-On Lab: Branching and Merging (Web UI)

Module 5: RStudio & GitHubModule 5: RStudio & GitHub

Readings
  • Module 5 Summary
  • Glossary
Quizzes
  • Practice Quiz - RStudio
  • Practice Quiz - GitHub
  • Graded Quiz - RStudio & GitHub

Module 6: Create and Share your Jupyter Notebook

Module 7: [Optional] IBM Watson Studio

Videos
  • Introduction to Watson Studio
  • Optional: Creating an account on IBM Watson Studio
  • Jupyter Notebooks in Watson Studio - Part 1
  • Jupyter Notebooks in Watson Studio - Part 2
  • Linking GitHub to Watson Studio
Reading
  • Summary
Quiz
  • Practice Quiz - Watson Studio
App Item
  • (Optional)Obtain IBM Cloud Feature Code and Activate Trial Account
Plugins
  • Creating a Watson Studio Project with Jupyter Notebooks
  • Assignment using Watson Studio

Admission details

  • You can visit the Tools for Data Science page by clicking on the link here: https://www.coursera.org/learn/open-source-tools-for-data-science
  • Make sure you have signed up on Coursera and are logged into your account.
  • Next, you must click on the ‘Enroll for free’ option and choose the right programme.
  • After clicking on ‘Next’, you can start your free 7-day trial, audit the course, or pay the monthly fee to keep learning after that.

Filling the form

You just have to sign up on Coursera with your full name, email address and password for the Tools for Data Science classes certification course application form. After signing up, keep yourself logged in to your account and join any free course or avail of a free trial. To sign up, you can either use your Google or Facebook account. Else, create a Coursera account by providing your name, email address, and password. 

Scholarship Details

Coursera offers financial aid for the Tools for Data Science online certification if you cannot pay the fee. You can use this aid to pay the course fee. To apply, click on 'financial aid available on the course page, fill the application form, and Coursera will review your application and reply in about two weeks.

How it helps

Data science plays a crucial role in the IT and corporate sector as it enables companies to interpret gigantic data from numerous sources and make better decisions. Top universities and companies have designed the Tools for Data Science programme to help you master data science tools and accelerate your career. The course also lets you apply your knowledge to create a final project and provides a certificate after that. 

Besides, this certificate is shareable in the LinkedIn certifications section. You can enrol for free and go through the course material during your free trial period to decide whether you wish to buy the course. Upon completing this course and securing certification, you can advance your career in the IT and corporate sector. 

Instructors

Ms Aije Egwaikhide

Ms Aije Egwaikhide
Senior Data Scientist
IBM

Other Bachelors, Other Masters

Ms Svetlana Levitan
Senior Developer
IBM

M.S, Ph.D

Mr Romeo Kienzler
Data Scientist
IBM

Other Masters

FAQs

What are the other courses in the data science specialisation?

Some of the other data science courses in this series include Introduction to Data Science Specialisation, IBM Data Science Professional Certificate, and Data Science Fundamentals with Python and SQL Specialisation.

How many hours will it take to finish the online Tools for Data Science live course?

You can complete the Tools for Data Science certification programme in approximately 18 hours.

How long is the free trial period for online Tools for Data Science classes programme ?

The free trial period is for seven days only.

What language is used in the video content for online Tools for Data Science certification programme?

The videos will be available in English, with subtitles in multiple languages. 

Will there be subtitles in German and Spanish?

Yes, the subtitles are available in multiple languages, including GermanSpanishFrench, European Portuguese, Italian, Vietnamese, Russian, and more.

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