Python for Data Science, AI & Development

BY
IBM via Coursera

Bring fresh ideas to the table with your learning of Python and data science with Python for Data Science, AI & Development by Coursera.

Lavel

Beginner

Mode

Online

Duration

5 Weeks

Quick Facts

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

Course overview

Python for Data Science, AI & Development Certification by Coursera will guide candidates through the basics and technical aspects of one of the most popular programming languages which is taught widely in educational institutions due to its relevance in the industry. This course is a perfect start for learning Python for data science and programming in general. It adopts a beginner-friendly pace so anyone willing to know about Python as a programming language can take up the course.

Python for Data Science, AI & Development Certification Syllabus has been designed to train individuals with zero knowledge of programming to master Python in a matter of a few hours. Throughout the course, candidates will learn numerous things like Python fundamentals and data structures and analysis, supported by rich hands-on exercises within the course modules and additional reading material to polish their learnings from the lectures.

By the end of this course, learners will be adept in creating basic programs, solving real-world problems in Python and working with data. This course is well-suited as a free online learning programme for more advanced learning as well wherein professionals with tight schedules can pursue the course at their own pace.

The highlights

  • Course offered by IBM
  • 25 hours of learning
  • Shareable certification
  • Free trial for seven days
  • Self-paced pattern
  • No eligibility requirement

Program offerings

  • Practice exercises
  • Expert training
  • Video modules
  • Quizzes.

Course and certificate fees

The fees for course Python for Data Science and AI and Development is - 

Certification 

Fee Amount in INR

Python for Data Science and AI and Development (Audit)

Free

Python for Data Science and AI and Development - 1 month

Rs.4,115 /- per month

Python for Data Science and AI and Development - 3 months

Rs.2,743 /- per month

Python for Data Science and AI and Development- 6 months

Rs.2,058 /- per month


certificate availability

Yes

certificate providing authority

Coursera

Eligibility criteria

Certification qualifying details

Python for Data Science, AI & Development Certification shall only be issued to learners who have their names/identities verified on Coursera. Further, they must secure passing grades or cumulative passing scores in all the course assignments. Ultimately, they must have subscribed to the course by paying the requisite fee.

What you will learn

Knowledge of python

Python for Data Science, AI & Development Certification Course offers a strong conceptual foundation for its learners along with enough exercises for them to gain acumen over the following topics and ideas-

  • Course participants can utilize mathematical operations, manipulating strings and store values in variables.
  • They shall examine the use of lists and tuples in Python programming
  • Learn about the fundamentals of Python, data structures of Python, and how to work with data in Python
  • They shall gain adequate skills in Python programming language to shape a career in the same
  • Practical training as to how to perform exception handling to catch errors will also be given to them
  • They will be able to build programmes on Python
  • Understand Python libraries and help in mathematical operations and data manipulation
  • Making candidates familiar with key Python functions, objects, and classes is another primary learning outcome
  • Learners will understand how to implement loops to iterate over sequences
  • They shall discover unique ways to collect data by the use of APIs and web scraping

The syllabus

Module 1: Python Basics

Videos
  • About this course
  • Course Overview
  • Helpful Tips for Course Completion
  • Introduction to Jupyter
  • Module 1 Summary: Python Basics 
Reading
  • About this course

assignments
  • Module 1 Graded Quiz: Python Basics
  • Practice Quiz: Types
  • Practice Quiz: Expressions and Variables
  • Practice Quiz: String Operations
app items
  • Hands-on Lab: Write Your First Program•
  • Hands-on Lab: Types
  • Hands-on Lab: Expression and Variables
  • Hands-On Lab: String Operations
plugins
  • (Optional) Reading: Format Strings in Python
  • Cheat Sheet: Python Basics 
  • Module 1 Glossary: Python Basics 

Module 2: Python Data Structures

Videos
  • List and Tuples
  • Dictionaries
  • Sets
reading
  • Module 2 Summary: Python Data Structures
assignments
  • Module 2 Graded Quiz: Python Data Structures
  • Practice Quiz: Lists and Tuples
  • Practice Quiz: Dictionaries
  • Practice Quiz: Sets
app items
  • Hands-On Lab: Lists
  • Hands-On Lab: Tuples
  • Hands-On Lab: Dictionaries
  • Hands-On Lab: Sets
plugins
  • Cheat Sheet: Lists and Tuples
  • CheatSheet: Dictionaries & Sets
  • Module 2 Glossary: Python Data Structures

Module 3: Python Programming Fundamentals

Videos
  • Conditions and branching
  • Loops
  • Functions
  • Exception handling
  • Objects and classes
reading
  • Module 3 Summary: Python Programming Fundamentals
assignments
  • Module 3 Graded Quiz: Python Programming Fundamentals 
  • Practice Quiz: Conditions and Branching
  • Practice Quiz: Loops
  • Practice Quiz: Functions
  • Practice Quiz: Exception Handling
  • Practice Quiz: Objects and Classes
app items
  • Hands-On Lab: Conditions and Branching
  • Hands-On Lab: Loops
  • Hands-On Lab: Functions
  • Hands-On Lab: Exception Handling
  • Hands-On Lab: Objects and Classes
  • Practice Lab: Text Analysis
plugins
  • Reading: Conditions and Branching
  • Reading: Introduction to Loops in Python
  • Reading: Exploring Python Functions
  • Reading: Exception Handling
  • Reading: Objects and Classes
  • Cheat Sheet: Python Programming Fundamentals
  • Module 3 Glossary: Python Programming Fundamentals

Module 4: Working with Data in Python

Videos
  • Reading files with open
  • Writing files with open
  • Loading data with pandas
  • Pandas: working with and saving data
  • One dimensional Numpy
  • Two dimensional Numpy
reading
  • Module 4 Summary: Working with Data in Python
assignments
  • Module 4 Graded Quiz: Working with Data in Python
  • Practice Quiz: Reading and Writing Files with Open
  • Practice Quiz: Pandas
  • Practice Quiz: Numpy in Python
app items
  • Hands-On Lab: Reading Files with Open
  • Hands-On Lab: Writing Files with Open
  • Practice Lab: Selecting Data in a DataFrame
  • Hands on Lab: Loading Data with Pandas
  • Hands-On Lab: One Dimensional Numpy
  • Hands-On Lab: Two Dimensional Numpy
plugins
  • Reading: Reading Files with Open
  • Reading: Writing Files with Open
  • Reading: Pandas
  • Reading: Matrix Mathematics
  • Reading: Beginner's Guide to NumPy
  • Reading: Some Context on APIs
  • Cheat Sheet: Working with Data in Python
  • Module 4 Glossary: Working with Data in Python

Module 5: APIs, and Data Collection

Videos
  • Simple APIs (Part 1)
  • Simple APIs (Part 2)
  • REST APIs & HTTP Requests - Part 1
  • REST APIs & HTTP Requests - Part 2
  • Optional: HTML for Webscraping
  • Webscraping
  • Working with different file formats (csv, xml, json, xlsx)
Readings
  • Module 5 Summary: APIs and Data Collection
  • Congratulations and Next Steps
  • Python Cheat Sheet: The Basics
assignments
  • Module 5 Graded Quiz: APIs and Data Collection
  • Final Exam for the Course
  • Practice Quiz: Simple APIs 
  • Practice Quiz: REST APIs, Web Scraping, and Working with Files
app items
  • Hands-On Lab: Introduction to API
  • Practice Project: GDP Data Extraction and Processing
  • Hands-on Lab: Access REST APIs & Request HTTP
  • Hands-On Lab: API Examples
  • Hands-on Lab: Web Scraping
  • Hands-on Lab: Working with different file formats
plugins
  • Reading: Web Scraping and HTML Basics
  • Reading: Web Scraping - A Key Tool in Data Science
  • Reading: Web Scraping Tables using Pandas
  • Cheat Sheet: APIs and Data Collection
  • Module 5 Glossary: APIs and Data Collection

Admission details

Applicants interested in enrolling for for Python for Data Science, AI & Development Certification Training can do the same by following some simple steps-

Step 1: Check out the link given here - https://www.coursera.org/learn/python-for-applied-data-science-ai

Step 2: An “Enroll for Free” tab shall be visible on the top which will lead candidates to a prompt wherein have to ensure the desired course has been selected and then click “Next.”

Step 3: You can now pursue the course for free for a week.

Step 4: You can also audit the course for free below, choosing which you will get immediate course access without the option to receive a certificate.

Scholarship Details

After going through the seven-day free trial, learners willing to get professional certification under Python for Data Science, AI & Development Certification Programme may apply for financial aid if they cannot arrange the certification fee. They may first receive relevant information by visiting the “Learn more and apply” option next to the “Information about Financial Aid or Scholarships” tab on the course page. After making certain declarations as to completing their course in entirety and registering accurate personal details by selecting checkboxes, candidates have to click on “Continue”.

Course participants need to draft their 150-word application wherein they will be required to register information like a short note on how they will utilise the learning outcomes, a minimum fee that they can afford, educational specifications, their annual income, reasons specifying the need for financial aid and present employment status. Selected and rejected candidates will be notified accordingly within 15 days via mail.

Note: Alternatively, learners can also select the “Enroll for Free” option on their course page and then “Financial Aid Available” option. They will be led to a dialogue box after which they will have to complete their application in the manner as above.

How it helps

Python is undoubtedly one of the world’s most abundantly used programming languages which are used in-app and website management as well. People even slightly connected to programming and computer science must mandatorily possess at least basic knowledge of Python. At the same time, it is important to pursue the right course which offers a memorable learning experience for learners to excel in their respective fields professionally.

Python for Data Science, AI & Development Certification Benefits are immense when it comes to applying Python fundamentals to drive business solutions transcending industries. This course focuses more on exercises and self-assessment, providing participants with the chance to create a final project to demonstrate their new skills. This can also be added to their portfolio. Python is trending not merely because of its utility but also because anybody can develop skills therein to help advance their career.

Completing this course will contribute towards the candidate's learning in IBM Applied AI Professional Certificate, IBM Data Science Professional Certificate, and Applied Data Science Specialisation. Completing any of these programmes additionally will grant candidates a Specialisation Completion certificate from Coursera and a digital badge from IBM as an accreditation of their expertise in the field.

Instructors

Mr Joseph Santarcangelo

Mr Joseph Santarcangelo
Data Scientist
IBM

Ph.D

FAQs

What to do if a candidate is unable to pay for the certification?

A learner who is unable to make the payment can check the payment troubleshooting page through the course URL.

Can subscription payments be cancelled?

Except for certain one-time subscriptions, other subscription payments cannot be cancelled or refunded.

Can a learner receive a certification after expiration of his subscription?

If a learner wants to receive a certification after his subscription expires, he will have to pay for the course again.

Can a learner transfer the payment he made for Python for Data Science, AI & Development Certification Online Course to some other course for certification?

Payment made for one course can be used only to pursue that course and cannot be transferred.

Do candidates have to enter their billing information before their free trial ends?

Candidates who opt for the certification will have to enter their credit information beforehand. The fee will be charged automatically on the 8th day after the free trial ends.

Will candidates receive a hard copy of Python for Data Science, AI & Development Certification?

No, it will only be a shareable, soft copy certification.

Can a candidate pursue the course again once he has completed the same?

If the candidate is a subscribed user, he can pursue this course multiple times as long as his subscription of 180 days remains active.

If a candidate pursues the course again, will he be able to attempt the quizzes again?

Some quizzes can be re-attempted while the progress of some carries over wherein the highest grade obtained will be saved.

Can learners download video modules to watch offline?

Yes, video lectures can be downloaded by clicking on the "Downloads" section and further clicking "Lecture video" below each video.

What are the recommended browsers for this course?

Learners need to have the latest versions of Internet Explorer 11 or Safari or Google Chrome (recommended) or Firefox or Microsoft Edge.

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