4.6
stars
246 ratings

Ramesh Sannareddy +1 more instructor

14,274 already enrolled

Offered By

IBM Skills Network

About this Course

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This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for analysis. Continue with the course and test your knowledge by implementing webscraping and extracting data with APIs all with the help of multiple hands-on labs. After completing this course you will have acquired the confidence to begin collecting large datasets from multiple sources and transform them into one primary source, or begin web scraping to gain valuable business insights all with the use of Python. 
PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data.

NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Basic Python Programming and using Jupyter Notebooks

Approx. 7 hours to complete

English

Subtitles: English

What you will learn

Demonstrate your skills in Python
Implement webscraping and use APIs to extract data in Python
Play the role of a Data Engineer working on a real project to extract, transform and load data using Jupyter notebook and Watson Studio

Skills you will gain

Extraction, Transformation And Loading (ETL)
Python Programming
Information Engineering
Web Scraping

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Basic Python Programming and using Jupyter Notebooks

Approx. 7 hours to complete

English

Subtitles: English

Instructors

Instructor rating

4.5/5 (80 Ratings)

Ramesh Sannareddy

Data Engineering Subject Matter Expert

Skill-up Technologies

73,405 Learners

10 Courses

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

759,771 Learners

24 Courses

Offered by

IBM Skills Network

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Syllabus - What you will learn from this course

Week

Week 1

7 hours to complete

Python Project for Data Engineering

7 hours to complete

1 video (Total 7 min), 6 readings, 9 quizzes

Reviews

4.6

43 reviews

5 stars
73.74%
4 stars
18.53%
3 stars
3.86%
2 stars
0.38%
1 star
3.47%

TOP REVIEWS FROM PYTHON PROJECT FOR DATA ENGINEERING

by RVAug 1, 2022

It was really well done and I found it difficult to complete. But I managed to complete it and it showed me my limitations and what I need to work on before moving onto the next course. Thanks a lot.

by IMJul 12, 2021

The rubric for grading is not correct for question 3. The instructions to the API questions is confusing. It asks for Country Name, but it seems that the quiz was looking for bank name.

by VBMay 30, 2021

Should update contents as the names of api changes.

by BTSep 20, 2021

This project helped me to review the previous course Python for Data science

View all reviews

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Python Project for Data Engineering