The ‘Complete Python 3 Masterclass Journey’ course is made to take you from a complete beginner to a proficient programmer who can use Python to execute real-world jobs. This course is absolutely unique since it uses a narrative story to interest students and give significance to the various activities they must complete.
To effectively teach Python and provide you with the knowledge to list Python on your CV, the course use project-based learning. The course offers a ton of projects and assignments for you to put what you are learning into practise. Also, the course contains chat channels where you can connect with other students to collaborate on projects, as well as Question & Answer forums where Instructor and teaching assistants are available to assist with any questions you may have. The course is usually available for INR 2,699 on Udemy but students can click on the link and get the ‘Complete Python 3 Masterclass Journey’ for INR 449.
Who all can opt for this course?
- Anyone who is interested in learning Python programming
Course Highlights
| Key Highlights | Details |
|---|---|
| Registration Link | Apply Now! |
| Price | INR 449 ( |
| Duration | 10.5 Hours |
| Rating | 4.6/5 |
| Student Enrollment | 20,912 students |
| Instructor | Jose Portilla https://www.linkedin.com/in/joseportilla |
| Topics Covered | Python Basics, Web Scraping, CSV files, Decryption with Python |
| Course Level | Beginner |
| Total Student Reviews | 3,163 |
Learning Outcomes
- Make your own Python programmes to perform things automatically
- Python’s CSV File Reading
- Python should be able to work with PDF files
- Python image manipulation
- Find out how to use Python to write functions
- Python should be used with object-oriented programming
- Python may be used to automatically send and receive emails
- Python’s encryption, hashing, and decryption functions
- Plot geographic locations using Python on Google Maps
- Python allows you to read files and use regular expressions
- Python may be used to scrape webpages for information
Course Content
| S.No. | Module (Duration) | Topics |
|---|---|---|
| 1. | Introduction (10 minutes) | Personal Welcome to the Course |
| Course Overview DO NOT SKIP THIS LECTURE! | ||
| Course Frequently Asked Questions (FAQs) | ||
| 2. | Recruitment (34 minutes) | Welcome to the Institute. |
| Introduction to Recruitment Bootcamp | ||
| Command Line Basics | ||
| Python Installation with Anaconda | ||
| Running Python Code | ||
| 3. | Recruitment Trials Bootcamp – Python Basics (01 hour 16 minutes) | Overview of the Recruitment Trials Bootcamp |
| Python Numbers | ||
| Python Strings | ||
| Python Lists | ||
| Python Dictionaries | ||
| Tuples | ||
| Python Sets | ||
| Python Booleans | ||
| Working with Files with Python | ||
| Conclusion of Working with Python Basics | ||
| 4. | Field Readiness Exam I (10 minutes) | Introduction to First FRE |
| Overview of Field Readiness Exam I | ||
| Solution Walkthrough of Field Readiness Exam I | ||
| 5. | Recruitment Trials Bootcamp – Working with Python (01 hour 00 minutes) | Introduction to Part Two of Recruitment Trials |
| Control Flow Basics if elif else | ||
| While Loops | ||
| For Loops | ||
| Useful Python Operators | ||
| List Comprehensions | ||
| Conclusion of Working with Python | ||
| 6. | Field Readiness Exam II (11 minutes) | Introduction to Second Field Readiness Exam |
| Overview Field Readiness Exam II | ||
| Quick note on FRE 2 Solutions | ||
| Field Readiness Exam II Solutions | ||
| Congratulations on your Second FRE! | ||
| 7. | Recruitment Trials Bootcamp – Part Three (01 hour 02 minutes) | Introduction to Part Three of Recruitment Trials |
| Python Functions | ||
| Function Tasks | ||
| Function Task Solutions | ||
| Nested Statements and Scope | ||
| Lambda Expressions, Map, and Filter | ||
| Conclusion of Recruitment Bootcamp Part 3 | ||
| 8. | Hacking Incident (16 minutes) | Incoming Message from Director Hopper |
| Hacking Incident Overview | ||
| Hacking Incident Debriefing | ||
| Message from Director Hopper | ||
| 9. | Final Recruitment Topics (01 hour 25 minutes) | Overview of Final Recruitment Topics |
| Object Oriented Programming Introduction | ||
| Object Oriented Programming – Part Two | ||
| Object Oriented Programming – Part Three | ||
| Object Oriented Programming – Exercises Overview | ||
| Object Oriented Programming – Exercises Solutions | ||
| Error Handling and Exceptions | ||
| Debugging and Datetime | ||
| Modules and Packages | ||
| __name__ and “__main__” | ||
| Conclusion Final Recruitment Topics | ||
| 10. | Final Field Readiness Exam (21 minutes) | Introduction to Final FRE – Message from Director Hopper |
| Overview of Final Field Readiness Exam | ||
| Solution Overview of Final Field Readiness Exam | ||
| Incoming Message – Welcome Agent! | ||
| 11. | Operation Rainbow Rogues (01 minutes) | Overview of Operation Rainbow Rogues |
| 12. | RED Mission – Web Scraping (44 minutes) | Introduction to Red Mission |
| Note about Installing Beautiful Soup Library | ||
| Webscraping with Python – Requests and BeautifulSoup | ||
| Web Scraping with Python – Part One | ||
| Web Scraping with Python – Part Two | ||
| RED Mission Overview | ||
| RED Mission Debrief | ||
| Conclusion of Red Mission | ||
| 13. | Orange Mission – Regular Expressions and Reading Files (01 hour 16 minutes) | Introduction to Orange Mission |
| Regular Expressions – Part One | ||
| Regular Expressions – Part Two | ||
| Regular Expressions – Part Three | ||
| Reading and Writing to Files with OS | ||
| Zip Files with Python | ||
| Orange Mission Overview | ||
| Orange Mission Debrief | ||
| Conclusion of Orange Mission | ||
| 14. | Yellow Mission – Working with CSV Files (30 minutes) | Introduction to Yellow Mission |
| Working with CSVs with Python | ||
| Working with PDFs with Python | ||
| Yellow Mission Overview | ||
| Yellow Mission Debrief | ||
| Conclusion of Yellow Mission | ||
| 15. | Green Mission – Sending Emails with Python (33 minutes) | Introduction to Green Mission |
| Sending Emails with Python | ||
| Checking Received Emails with Python | ||
| Green Mission Overview | ||
| Green Mission Debrief | ||
| Conclusion to Green Mission | ||
| 16. | Blue Mission – Working with Images with Python (19 minutes) | Introduction to Blue Mission |
| Working with Images using Python | ||
| Blue Mission Overview | ||
| Blue Mission Debrief | ||
| Conclusion of Blue Mission | ||
| 17. | Indigo Mission – Decryption with Python (22 minutes) | Introduction to Indigo Mission |
| Introduction to Encryption and Hashing | ||
| Encryption and Hashing with Python | ||
| Indigo Mission Overview | ||
| Indigo Mission Debrief | ||
| Conclusion of Indigo Mission | ||
| 18. | Violet Mission – Mapping Out Locations with Python (24 minutes) | Introduction to Violet Mission |
| Notes on Google Maps API and Folium | ||
| Geographical Plotting in Python | ||
| Violet Mission Overview | ||
| Violet Mission Debrief | ||
| 19. | Final Debrief (02 minutes) | Conclusion of Violet Mission |
| Final Debriefing | ||
| 20. | BONUS SECTION: THANK YOU! (10 seconds) | Bonus Lecture: |
Resources Required
- An internet-connected computer
- Permission to install Python and files on your computer
Featured Review
Carlos Borrero (5/5) : Very clear and makes it easy to stick in the mind without much effort. As the missions advance they get so interesting and the last one is mind blowing, very interesting and light to go thru. Good for fundamentals and a beginner in Python as me. Jose is a really good instructor and the methodology is engaging and light to go thru. Thank you Jose for all the effort making this awesome training.
Pros
- Jesús Fonseca (5/5) : Great course! I felt like in the Command & Conquer series.
- Simon Marriott (3/5) : However, the spy theme and incoming messages were distracting at best.
- TJ Khara (5/5) : I am in section 9 and till now this has been an excellent course.
- Luis Silva (5/5) : Best course I’ve taken for beginners in python!! To the point and not verbose/boring.
Cons
- Cameron Scott (2/5) : Ultimately it comes across as an ugly coat of paint to mask the real problem and that is the teaching.
- Colin Simon (1/5) : not interactive enough! Using a story to substitute real actual learning is not a good method.
- Magdalena Labori (2/5) : Sometimes goes too fast and skips around a lot. The concepts are not well explained, and this is definitely not beginner level friendly at all
About the Author
The instructor of this course is Jose Portilla who is a Head of Data Science at Pierian Training. With 4.6 Instructor Rating and 1,023,193 Reviews on Udemy, he/she offers 60 Courses and has taught 3,294,076 Students so far.
- Jose Marcial Portilla holds degrees in mechanical engineering from Santa Clara University (BS and MS), and he has years of experience working as a qualified instructor and trainer for Python programming, machine learning, and data science
- He has written articles and received patents in a number of disciplines, including data science, materials science, and microfluidics
- He has acquired a set of abilities for data analysis throughout the course of his career, and he wants to combine both his teaching and data science knowledge to educate others the power of programming, how to analyse data, and how to display the data in attractive visualisations
- He currently serves as the Head of Data Science for Pierian Training, where he trains people at prestigious organisations like General Electric, Cigna, The New York Times, Credit Suisse, McKinsey, and others in data science and python programming on-site
- Please click the website link to learn more about the available training options
Comparison Table
| Parameters | Complete Python 3 Masterclass Journey | The Modern Python 3 Bootcamp | Python for Data Structures, Algorithms, and Interviews! |
|---|---|---|---|
| Offers | INR 455 ( | INR 455 ( | INR 455 ( |
| Duration | 10.5 hours | 30.5 hours | 17 hours |
| Rating | 4.6/5 | 4.7 /5 | 4.5 /5 |
| Student Enrollments | 20,862 | 108,963 | 79,272 |
| Instructors | Jose Portilla | Colt Steele | Jose Portilla |
| Register Here | Apply Now! | Apply Now! | Apply Now! |
Leave feedback about this