Welcome to Data Science with Python

Learn coding in Python for Data Science and Data Analytics with extensive hands on tutorials. The skills acquired with this course are Statistical Analysis, Data Importing and Visualization with different libraries. This course will move your way up from the basics, ranging from touching all the aspects of integer, float, strings, logical functions and other types along with learning loops which is for() and while() loops to understanding the complete syntax and applying them through our use cases and exercises for the exact purpose for practice in Jupyter Notebook. This course is uniquely structured, with each section building upon the last, ensuring a gradual stepwise progression. You will learn a constructive concept and you can apply the concepts that we have learned right away in our real-life examples while facing some valuable analytical challenges which you will learn to solve and gain practical experience, some of them will be demonstrated in the lecture and the others will be homework exercise. This course is beginner-friendly, you'll progress confidently through exercises and quizzes, even without prior programming skills.

• Harnesses data to gain insights, make informed decisions and plan for the future
• Python is the go-to language for data scientists due to its stepwise code output, scalability and community-driven library development
• Python's flexibility empowers data scientists to tackle diverse problems
• Python's rich ecosystem and visualization tools, like Matplotlib, aid in creating expressive data representations
• Data science is a stable, long-term career choice in a data-driven world

• Programmers, developers and architects
• Business analysts
• Those seeking a practical, hands-on approach to learning Python, especially if other Python courses have felt overly complex

Prerequisites