Python Project for Data Engineering

This course is part of the Data Engineering Foundations Specialization

4.7
stars
34 ratings

Ramesh Sannareddy +1 more instructor

1,801 already enrolled

Offered By

Data Engineering Foundations SpecializationIBM

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

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Course 3 of 5 in the

Data Engineering Foundations Specialization

Intermediate Level

Basic Python Programming and using Jupyter Notebooks

Approx. 5 hours to complete

English

Subtitles: English

What you will learn

Demonstrate your Skills in Python - the language of choice for Data Engineering

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 ProgrammingInformation EngineeringWeb 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.

Course 3 of 5 in the

Data Engineering Foundations Specialization

Intermediate Level

Basic Python Programming and using Jupyter Notebooks

Approx. 5 hours to complete

English

Subtitles: English

Instructors

Instructor rating

4.54/5 (12 Ratings)

Ramesh Sannareddy

Data Engineering Subject Matter Expert

Skill-up Technologies

11,054 Learners

5 Courses

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

498,903 Learners

21 Courses

Offered by

IBM

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

5 hours to complete

Python Project for Data Engineering

5 hours to complete

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

Reviews

4.7

6 reviews

5 stars
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4 stars
26.47%

TOP REVIEWS FROM PYTHON PROJECT FOR DATA ENGINEERING

by VBMay 30, 2021

Should update contents as the names of api changes.

View all reviews

About the Data Engineering Foundations Specialization

Data engineering is one of the fastest-growing tech occupations, where the demand for skilled data engineers far outweighs the supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision making. This Specialization from IBM will help anyone interested in pursuing a career in data engineering by teaching fundamental skills to get started in this field. No prior data engineering experience is required to succeed in this Specialization.

The Specialization consists of 5 self-paced online courses covering skills required for data engineering, including the data engineering ecosystem and lifecycle, Python, SQL, and Relational Databases. You will learn these data engineering prerequisites through engaging videos and hands-on practice using real tools and real-world databases. You'll develop your understanding of data engineering, gain skills that can be applied directly to a data career, and build the foundation of your data engineering career. Upon successfully completing these courses, you will have the practical knowledge and experience to delve deeper into data engineering and work on more advanced data engineering projects.

Frequently Asked Questions

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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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Python Project for Data Engineering