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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


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


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


4. Machine Learning for Business

2 hours Understood the fundamentals of Machine Learning and how it's applied in the business world.

Course Contente


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


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


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

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About

26+ Hourse of learning Data Science with Python and SQL career track. To prepare for the Data Scientist with Python Certification

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