Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 26 Minute(s)
Language
English
Taught by
Abhishek Pughazh
Rating
4 views
Course Overview
We start from absolute Python scratch and gradually progress into NumPy, Pandas, Matplotlib & Seaborn for data analysis
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 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 beginners 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 visualizations
Course Content
- 7 section(s)
- 70 lecture(s)
- Section 1 Introduction
- Section 2 Environment Setup
- Section 3 Basics Of Python (Refresher Course)
- Section 4 NumPy - Data Analysis
- Section 5 Pandas - Data Analysis
- Section 6 MatPlotLib - Data Visualization
- Section 7 Seaborn - Data Visualization
What You’ll Learn
- Learn Intermediate Python Programming Skills
- Using the Jupyter Notebook Environment
- Using the NumPy Library To Create & Manipulate Arrays
- Using The Pandas Module To Create & Structure Data
- Create Data Visualizations Using Matplotlib & Seaborn Modules With Python
- Learn To Work With Various Data Formats Within Python, Including: JSON,HTML, & MS Excel Worksheets.
Reviews
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EEva Nicole Briggs
This is all completely new to me; I have never used any of these programs or done anything like this. Because of my lack of experience with this, it was hard to find my footing, and some parts went fast, but eventually I was able to grasp the basic concepts. After that is was easy to follow and I feel like I have been learning and making progress.
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MMohit Mathur
n/a
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SSteve Job Pam
The introductory module is fantastic and provides a newbie with details of the Jupyter notebook.
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SShajitha Parveen J
The course was understandable through out and I wonder if someone could teach with this much clarity. Thanks for the clear and soft spoken lectures
