- 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
Beginner
Online
₹ 3,252
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 four 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
Fees information
- Coursera’s Tools for Data Science is free to audit programme. If you want full access, you can avail of the free trial period of seven days but will have to pay the monthly fee to continue after that.
Note: Coursera also provides financial aid for the certificate.
Tools for Data Science fee structure
Course Name | Fee Amount in INR |
Tools for Data Science (audit only) | Free |
Data Visualization with Python - 1 month | Rs. 3,252/- |
Data Visualization with Python - 3 months | Rs. 6,504/- |
Data Visualization with Python - 6 months | Rs. 9,756/- |
certificate availability
certificate providing authority
Eligibility criteria
You can achieve the certificate for Tools for Data Science training by completing the graded assignments and the curriculum.
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.
The syllabus
Module 1: Overview of Data Science Tools
Videos
Readings
- Learning goals for the course
- Module 1 Summary
Quizzes
- Practice Quiz - Data Science Tools
- Graded Quiz - Data Science Tools
Plugin
- Open source tool board
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
Quizzes
- 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
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
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
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.
You can complete the Tools for Data Science certification programme in approximately 18 hours.
The free trial period is for seven days only.
The videos will be available in English, with subtitles in multiple languages.
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