Introductory PYTHON for Data Science with Exercises and Quiz
What you'll learn
- Start with Basics of Python like Lists and Function and move up to Numpy
- Coding Exercises for Python
- Learn the best practices of using Python for Data Science
- Complete Numpy Basics
- Practice in coding exercises and participate in quizzes
- Grasp on how to summarize large data using NumPy
- Statistical Analysis using NumPy for Data Analysis
- Summarizing using Numpy on large dataset
- Basic understanding of programming knowledge is preferred.
The new gold is data. This statement demonstrates how data capture, storage, and analysis are at the heart of every modern IT system. It doesn't matter if you're making a business choice, forecasting the weather, investigating protein structures in biology, or creating a marketing strategy. All of these scenarios call for a multidisciplinary approach that includes the use of mathematical models, statistics, graphs, databases, and, of course, the commercial or scientific rationale that underpins the data analysis. As a result, we need a programming language that can handle all of these different data science requirements. Python stands out as one of these languages since it comes with a plethora of libraries and built-in capabilities that make it simple to meet the demands of data research.
This beginner-friendly introduction to Python will help you get started learning Python for data science and programming in general. Python is one of the most widely used programming languages in the world, and there has never been a bigger demand for individuals who can apply Python basics to drive business solutions in a variety of industries.
In this course, you'll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you'll get hands-on with some of the most popular Python libraries, including NumPy.This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary!
What you'll learn:
Programming with Python
NumPy with Python
The basic process of data science
Python IDEs and notebooks
An applied understanding of how to manipulate and analyze uncurated datasets
Basic statistical analysis
How to visualize the results
30+ coding exercises and quizzes
Gain the career-building Python skills you need to succeed as a data scientist. No prior coding experience is required.
By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.
Who this course is for:
- Beginner Python developers curious about Data Science
- Python interested
- Data Science enthusiast
- Data Engineer students
I'm Biplov (22) an Electrical Engineering graduate and now working as a System Design Engineer at a reputed company in Japan.
I spend my free time making videos that I have interests in. I have a few startups with my friends where we provide space for design thinking and ideate upon new events where I have gained varieties of knowledge and experience. My interests follow topics related to modern disruptive technology that has the potential to become a game-changer. I create courses related to Web Development, Graphics Designing, Blockchain, and so on.
Throughout school (and even now), I have utilized Udemy to learn new skills and overall develop myself, but now I am on a mission to utilize this platform to share my skillset with the world. I enjoy taking on new challenges.
Within 2 months of joining this platform, I have gained the trust of more than 30,000 + students throughout the world.
If you could vibe with me and would like to share insights and inspirations on different related or unrelated topics with me then, please do <follow/contact> me at different Social handles. And if you've got ideas for classes that you'd find useful, drop me a message/email and I'll see what I can do.
Let's learn and have fun.