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Youssef Hatem Salem
By the end of this project, you will create your own Extract, Transform and Load (ETL) process by using Python on Visual Studio Code
During the course of this project, you will be using Python over VS code as the main tool to build your very own ETL process from courses and ratings dataset over SQLite3. The learner will copy the data into his own created database, extract specific records, transform them and finally load them onto a new database.
ETL process is viewed as the core of any application, as any further step that requires dealing with the data stored such as: data Analytics, data processing or applying any sort of...
Read more
By the end of this project, you will create your own Extract, Transform and Load (ETL) process by using Python on Visual Studio Code
During the course of this project, you will be using Python over VS code as the main tool to build your very own ETL process from courses and ratings dataset over SQLite3. The learner will copy the data into his own created database, extract specific records, transform them and finally load them onto a new database.
ETL process is viewed as the core of any application, as any further step that requires dealing with the data stored such as: data Analytics, data processing or applying any sort of...
Read more
By the end of this project, you will create your own Extract, Transform and Load (ETL) process by using Python on Visual Studio Code
During the course of this project, you will be using Python over VS code as the main tool to build your very own ETL process from courses and ratings dataset over SQLite3. The learner will copy the data into his own created database, extract specific records, transform them and finally load them onto a new database.
ETL process is viewed as the core of any application, as any further step that requires dealing with the data stored such as: data Analytics, data processing or applying any sort of Machine Learning algorithms will inevitably point out to the start point, which is the ETL process.
This guided project is for people who are aiming to start their career in the broad field of Data Engineering and the specific field of Data Management. It will also be of interest for people who are keen on enhancing their programming skills using Python.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/1xfyzs/extract
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps learners develop foundational data engineering and data management skills using Python
Guides learners through building an ETL process from scratch, providing hands-on practice
Covers essential data engineering concepts such as data extraction, transformation, and loading
Suitable for aspiring data engineers and programmers seeking to enhance their Python skills
Limited availability outside the North America region
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Reviews summary
Highly recommended etl python course
This course is highly recommended for those interested in starting a career in data engineering or enhancing their Python programming skills. Students will learn how to create their own ETL process using Python on Visual Studio Code. The course is particularly relevant for learners in North America, but the provider is working on expanding to other regions.
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Extract, Transform & Load using Python with these
activities:
Review Python Basics
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Brush up on your Python skills by reviewing the basics
Browse courses on
Python
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-
Review Python syntax
-
Practice writing simple Python programs
Review Data Science for Dummies
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Build a stronger foundation of data science concepts with this book
View
Artificial Intelligence For Dummies (For...
on Amazon
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-
Read Chapter 1
-
Complete the exercises at the end of Chapter 1
-
Find a real-world dataset and start exploring it
Read An Introduction to Statistical Learning
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Gain a deeper understanding of statistical learning concepts
View
An Introduction to Statistical Learning: with...
on Amazon
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-
Read Chapter 1
-
Complete the exercises at the end of Chapter 1
-
Find a real-world dataset and apply the concepts from Chapter 1
Five other activities
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Show all eight activities
Complete LeetCode Problems
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Practice coding and problem-solving skills with LeetCode problems
Browse courses on
Python
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-
Pick a problem and read the problem statement
-
Start coding your solution
-
Submit your solution
Build a Machine Learning Model
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Apply your skills to build a machine learning model
Browse courses on
Machine Learning
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-
Identify a machine learning problem
-
Collect and prepare data
-
Choose and train a machine learning model
-
Evaluate and deploy your model
Volunteer at a Data Science Hackathon
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Gain practical experience and collaborate with others at a data science hackathon
Browse courses on
Data Science
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-
Find a data science hackathon to attend
-
Form a team or work individually
-
Work on a data science project
-
Present your project to the judges
Build a Data Visualization Dashboard
Show steps
Create a data visualization dashboard to demonstrate your skills and understanding of data visualization concepts
Browse courses on
Data Visualization
Show steps
-
Identify a dataset and explore it
-
Choose a visualization tool (e.g., Tableau, Power BI, Google Data Studio)
-
Design and create your dashboard
-
Share your dashboard with others
Mentor a Junior Data Analyst
Show steps
Share your knowledge and skills by mentoring a junior data analyst
Browse courses on
Data Analysis
Show steps
-
Find a mentee
-
Set up a regular meeting schedule
-
Provide guidance and support
Review Python Basics
Show steps
Brush up on your Python skills by reviewing the basics
Browse courses on
Python
Show steps
Show steps
Show steps
- Review Python syntax
- Practice writing simple Python programs
Review Data Science for Dummies
Show steps
Build a stronger foundation of data science concepts with this book
View
Artificial Intelligence For Dummies (For...
on Amazon
Show steps
Show steps
Show steps
- Read Chapter 1
- Complete the exercises at the end of Chapter 1
- Find a real-world dataset and start exploring it
Read An Introduction to Statistical Learning
Show steps
Gain a deeper understanding of statistical learning concepts
View
An Introduction to Statistical Learning: with...
on Amazon
Show steps
Show steps
Show steps
- Read Chapter 1
- Complete the exercises at the end of Chapter 1
- Find a real-world dataset and apply the concepts from Chapter 1
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete LeetCode Problems
Show steps
Practice coding and problem-solving skills with LeetCode problems
Browse courses on
Python
Show steps
Show steps
Show steps
- Pick a problem and read the problem statement
- Start coding your solution
- Submit your solution
Build a Machine Learning Model
Show steps
Apply your skills to build a machine learning model
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify a machine learning problem
- Collect and prepare data
- Choose and train a machine learning model
- Evaluate and deploy your model
Volunteer at a Data Science Hackathon
Show steps
Gain practical experience and collaborate with others at a data science hackathon
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Find a data science hackathon to attend
- Form a team or work individually
- Work on a data science project
- Present your project to the judges
Build a Data Visualization Dashboard
Show steps
Create a data visualization dashboard to demonstrate your skills and understanding of data visualization concepts
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a dataset and explore it
- Choose a visualization tool (e.g., Tableau, Power BI, Google Data Studio)
- Design and create your dashboard
- Share your dashboard with others
Mentor a Junior Data Analyst
Show steps
Share your knowledge and skills by mentoring a junior data analyst
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a mentee
- Set up a regular meeting schedule
- Provide guidance and support
Career center
Learners who complete Extract, Transform & Load using Python will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
As a Data Engineer, you are responsible for designing, building, and maintaining the data pipelines that power data-driven organizations. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for analysis and reporting.
Data Analyst
Data Analyst
Data Analysts help businesses make better decisions by collecting, analyzing, and interpreting data. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for analysis and reporting.
Data Scientist
Data Scientist
Data Scientists use data to solve complex problems and make predictions. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for data mining and machine learning.
Database Administrator
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of databases. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be stored in a database.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used to build data-driven applications.
Data Architect
Data Architect
Data Architects design and implement the architecture for data systems. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used to build a data warehouse or data lake.
Business Analyst
Business Analyst
Business Analysts help businesses understand their data and make better decisions. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for business intelligence and reporting.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used to understand customer needs and develop new products.
Marketing Analyst
Marketing Analyst
Marketing Analysts help businesses understand their customers and target their marketing campaigns. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for customer segmentation and campaign optimization.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make financial decisions. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for financial modeling and analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts help businesses optimize their operations. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for operational modeling and analysis.
Supply Chain Analyst
Supply Chain Analyst
Supply Chain Analysts help businesses manage their supply chains. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for supply chain modeling and analysis.
Risk Analyst
Risk Analyst
Risk Analysts help businesses identify and manage risks. This course will provide you with the skills you need to extract, transform, and load data from a variety of sources, using Python and Visual Studio Code, so that it can be used for risk modeling and analysis.
Project Manager
Project Manager
Project Managers plan and execute projects. This course may provide you with skills that are useful for managing data-related projects, such as data integration projects or data warehousing projects.
Technical Writer
Technical Writer
Technical Writers document technical information. This course may provide you with skills that are useful for writing documentation for data-related systems or processes.
For more career information including salaries, visit:
OpenCourser.com/course/1xfyzs/extract
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Extract, Transform & Load using Python .
Provides a comprehensive introduction to data analysis with Python, covering topics such as data cleaning, manipulation, and visualization. It great resource for learners who want to gain a strong foundation in data analysis and Python programming.
Save
Provides a comprehensive guide to data manipulation with Python, covering topics such as data cleaning, transformation, and merging. It valuable resource for learners who want to gain a strong foundation in data manipulation and Python programming.
Provides a comprehensive guide to data extraction with Python, covering topics such as web scraping, API integration, and data mining. It valuable resource for learners who want to gain a strong foundation in data extraction and Python programming.
Save
Provides a comprehensive guide to data transformation with Python, covering topics such as data cleaning, manipulation, and aggregation. It valuable resource for learners who want to gain a strong foundation in data transformation and Python programming.
This cookbook provides a collection of recipes for data manipulation with Python, covering topics such as data cleaning, transformation, and merging. It valuable resource for learners who want to gain hands-on experience with data manipulation.
Save
This cookbook provides a collection of recipes for data transformation with Python, covering topics such as data cleaning, manipulation, and aggregation. It valuable resource for learners who want to gain hands-on experience with data transformation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1xfyzs/extract
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Youssef Hatem Salem
Good to know
Helps learners develop foundational data engineering and data management skills using Python
Guides learners through building an ETL process from scratch, providing hands-on practice
Covers essential data engineering concepts such as data extraction, transformation, and loading
Suitable for aspiring data engineers and programmers seeking to enhance their Python skills
Limited availability outside the North America region
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