Master Python for Data Science
Offered By: LinkedIn Learning
Course Description
Overview
Python has quickly become the leading in-demand programming language for those in the data science and analytics sector. Python skills are bankable, and this learning path helps you add value to your skill set and to your resume.
- Build a machine-learning recommendation system.
- Learn the essentials of NumPy and Pandas.
Syllabus
Courses under this program:
Course 1: Advanced Python: Working with Databases
-Explore the database options for powering your Python apps. Learn how to create and connect to different types of databases, including SQLite, MySQL, and PostgreSQL.
Course 2: Python Data Structures: Stacks, Queues, and Deques
-Rock your next technical interview. Learn about the top three linear data structures—stacks, queues, and deque—and build your own data structures in Python.
Course 3: Python Data Structures: Linked Lists
-Rock your next technical interview by learning how to communicate your understanding of linked lists.
Course 4: Python Data Structures: Dictionaries
-Learn how to use dictionaries to store and retrieve unordered data in Python.
Course 5: Faster pandas
-Learn how to make your pandas code quicker and more efficient. This course covers vectorization, common mistakes, pandas performance, saving memory, Numba, Cython, and more.
Course 6: Advanced Pandas
-Learn the advanced functions in pandas that can help you more effectively work with your data.
Course 1: Advanced Python: Working with Databases
-Explore the database options for powering your Python apps. Learn how to create and connect to different types of databases, including SQLite, MySQL, and PostgreSQL.
Course 2: Python Data Structures: Stacks, Queues, and Deques
-Rock your next technical interview. Learn about the top three linear data structures—stacks, queues, and deque—and build your own data structures in Python.
Course 3: Python Data Structures: Linked Lists
-Rock your next technical interview by learning how to communicate your understanding of linked lists.
Course 4: Python Data Structures: Dictionaries
-Learn how to use dictionaries to store and retrieve unordered data in Python.
Course 5: Faster pandas
-Learn how to make your pandas code quicker and more efficient. This course covers vectorization, common mistakes, pandas performance, saving memory, Numba, Cython, and more.
Course 6: Advanced Pandas
-Learn the advanced functions in pandas that can help you more effectively work with your data.
Courses
-
Learn how to use dictionaries to store and retrieve unordered data in Python.
-
Explore the database options for powering your Python apps. Learn how to create and connect to different types of databases, including SQLite, MySQL, and PostgreSQL.
-
Learn how to make your pandas code quicker and more efficient. This course covers vectorization, common mistakes, pandas performance, saving memory, Numba, Cython, and more.
-
Rock your next technical interview by learning how to communicate your understanding of linked lists.
-
Learn about the top three linear data structures—stacks, queues, and deque—and build your own data structures in Python.
-
Learn the advanced functions in pandas that can help you more effectively work with your data.
Taught by
Kathryn Hodge, Erin Allard, Deepa Muralidhar, Miki Tebeka and Brett Vanderblock
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