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Udacity-Programming-For-Data-Science-With-Python-Nanodegree

A course to learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.

Course 1: Introduction to SQL Disusses Learingn the SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.

Course 2: Introduction to Python Programming In this part, focusses on learninhg to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. You’ll define and document your own custom functions, write scripts, and handle errors. You will also learn to use two powerful Python libraries - Numpy, a scientific computing package, and Pandas, a data manipulation package.

Course 3: Introduction to Version Control Learn how to use version control and share your work with other people in the data science industry

Date : 27/09/2022

Post your work on Github - Bikeshare

In this project focuses on posting two different versions of a Jupyter Notebook capturing the learnings from the course.

bikeshare.py template washington.csv chicago.csv new_york_city.csv

Udacity resources https://stackoverflow.com/