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https://github.com/sondosaabed/datacamp-data-scientist-track
26+ Hourse of learning Data Science with Python and SQL career track. To prepare for the Data Scientist with Python Certification
https://github.com/sondosaabed/datacamp-data-scientist-track
data-science datacamp intermediate-sql joining machine-learning python python-packages sql
Last synced: 2 days ago
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26+ Hourse of learning Data Science with Python and SQL career track. To prepare for the Data Scientist with Python Certification
- Host: GitHub
- URL: https://github.com/sondosaabed/datacamp-data-scientist-track
- Owner: sondosaabed
- License: mit
- Created: 2024-07-11T17:30:10.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-07-12T00:36:50.000Z (4 months ago)
- Last Synced: 2024-07-12T20:30:03.130Z (4 months ago)
- Topics: data-science, datacamp, intermediate-sql, joining, machine-learning, python, python-packages, sql
- Homepage: https://www.datacamp.com/completed/statement-of-accomplishment/track/4c629e8bd837f48572b7b9a3ef6605f9c161b7a6
- Size: 6.61 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DataCamp-Data-Scientist-Track
## Courses Accomplishes with their Repos.
### 1. Intermediate Importing Data in Python
**2 hours** Improved my Python data importing skills and learned how to work with web and API data.
> [Repo, Intermediate-Importing-Data-In-Python ](https://github.com/sondosaabed/Intermediate-Importing-Data-In-Python)
### 2. Preprocessing for Machine Learning in Python
**4 hours**
Learned how to clean and prepare data for machine learning!
> [Repo. Preprocessing-for-Machine-Learning-in-Python](https://github.com/sondosaabed/Preprocessing-for-Machine-Learning-in-Python)
### 3. Developing Python Packages
**4 hours**
Learned how to create my own Python packages to make the code easier to use and share with others.
> [Repo. Developing-Python-Packages](https://github.com/sondosaabed/Developing-Python-Packages)
### 4. Machine Learning for Business
**2 hours**
Understood the fundamentals of Machine Learning and how it's applied in the business world.
> [Course Contente](https://github.com/sondosaabed/DataCamp-Data-Scientist-Track/tree/main/Machine-Learning-for-Business)
### 5. Introduction to SQL
**2 hours**
Learned how to create and query relational databases using SQL in two hours.
> This course was skipped with a skill assessment.
### 6. Intermediate SQL
**4 hours**
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
> [Repo. Intermediate-SQL](https://github.com/sondosaabed/Intermediate-SQL)
## 7. Joining Data in SQL
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
> [Repo. Joining-Data-in-SQL](https://github.com/sondosaabed/Joining-Data-in-SQL)
## 8. Introduction to Git
**4 hours**
Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.
>
## Statement Of Accomplishment
![image](https://github.com/sondosaabed/DataCamp-Data-Scientist-Track/assets/65151701/b729d31a-f075-4e3d-9a23-63fb03a4782c)