Duration: 4h 24m | 66 Lessons | Video: 1280x720, 44kHz | 3.3 GB
Genre: eLearning | Language: English | Level: Bner

We start from absolute Python scratch and gradually progress into NumPy, Pandas, Matplotlib & Seaborn for data analysis.

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PLEASE FIND THE RESOURCES YOU'LL NEED TO FOR THIS COURSE BELOW

(Make sure you and open them inside your Jupyter Notebook)

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What Will You Learn In This Course - ( Syllabus / Overview)

There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different! This course is truly step-by-step. In every new tutorial, we build on what had already been learned and move one extra step forward. After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This comprehensive course will be your guide to learning how to use the power of Python to analyze data and create beautiful visualizations. This course is designed for both bners with some programming experience or experienced developers looking to make the jump to Data Science!

"Data Scientist" has been ranked the Number #1 Job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will still be successful in this course! I can't wait to see you in class.

In This Course You'll Learn:

Programming with Python

NumPy with Python

Using pandas Data Frames to solve complex tasks

Use pandas to handle Excel Files

Use matplotlib and seaborn for data visualization

RESOURCES

(Python - Data Types & Arithmetic Operations) - Click Here

(Numpy - Universal Functions) - Click Here

(NumPy - Arrays) - Click Here

(NumPy - Indexing) - Click Here

(Pandas - Series I) - Click Here

(Pandas - Dataframes) - Click Here

(Pandas - Join, Merge & Concatenate) - Click Here

(Pandas - Operations) - Click Here

(Pandas - File Processing) - Click Here

(Matplotlib - Plotting A Simple Graph) - Click Here

(SeaBorn - Distribution Plots I) - Click Here






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