Master Python for Data Science

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.

Practice accessing and analyzing data using Python.
Understand abstract data types.
Improve your efficiency and speed coding in Pandas.

Syllabus

Courses under this program:
Course 1: Python Statistics Essential Training
-Learn to use Python to unlock the power of data and use it to inform decisions.

Course 2: Advanced Python: Working With Data
-Learn about the features of Python that can help you make sense of your data.

Course 3: 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 4: Advanced Python: Practical Database Examples
-Level up as a Python developer working with databases in this advanced, skills-based course.

Course 5: Python Data Structures and Algorithms
-Visually study the relationship of data structures and algorithms. Learn how stacks, queues, and 2D lists are used with depth-first, breadth-first, and A-star search algorithms.

Course 6: Python Data Structures: Linked Lists
-Get an introduction to linked lists, a popular and useful dynamic data structure.

Course 7: Python Data Structures: Dictionaries
-Learn how to use dictionaries to store and retrieve unordered data in Python.

Course 8: Python Data Structures: Stacks, Deques, and Queues
-Learn about the top three linear data structures—stacks, queues, and deque—and build your own data structures in Python.

Course 9: Python Data Structures: Trees
-Learn about binary search trees in Python and how to create, navigate, modify, and use them in a real-world context.

Course 10: 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 11: Advanced Pandas (2021)
-Learn the advanced functions in pandas that can help you more effectively work with your data.