Pandas & Seaborn Data Science & Visualization course faq

star-rating
3.5
instructor Instructor: Ashwin Pajankar • 50,000+ Students Worldwide instructor-icon
duration Duration: 16.00 duration-icon

This Pandas & Seaborn Data Science & Visualization course is the most comprehensive course on Udemy to learn Data Science with Python 3. It covers topics from basics of Scientific Python Ecosystem, NumPy Fundamentals, Advanced Data Visualization, Data Acquisition Techniques, Linear Algebra and Matrices, and more. With over 105 lectures and 15.5 hours of video, this course will help you become a Master in Data Acquisition and Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century. Enroll now and start your journey to become a Data Science Professional!

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 31st, 2023]

Skills and Knowledge:
- Understanding of the Scientific Python Ecosystem
- Knowledge of Data Science, Pandas, and Altair
- Basics of NumPy Fundamentals
- Advanced Data Visualization
- Data Acquisition Techniques
- Linear Algebra and Matrices
- Installation of Python 3 on Windows
- Setting up Raspberry Pi
- Tour of Python 3 environment on Raspberry Pi
- Jupyter installation and basics
- NumPy Ndarrays
- Array Creation Routines
- Basic Visualization with Matplotlib
- Ndarray Manipulation
- Random Array Generation
- Bitwise Operations
- Statistical Functions
- Installation of SciPy and Pandas
- Linear Algebra with NumPy and SciPy
- Data Acquisition with Python 3
- MySQLand Python 3
- Data Acquisition with Pandas
- Basics of Seaborn
- Configuring Charts with Seaborn
- Multi-plot Grid
- Visualize Linear Relationships
- Multi Color Plot
- Visualizing the distribution of a dataset

Professional Growth:
This Pandas & Seaborn Data Science & Visualization course provides professionals with the skills and knowledge necessary to acquire data with NumPy and Pandas and visualize it with Matplotlib and Seaborn. Professionals will learn the basics of Scientific Python Ecosystem, Data Science, Pandas, and Altair, as well as advanced topics such as Data Acquisition Techniques, Linear Algebra and Matrices. This course will help professionals become a master in Data Acquisition and Visualization with Python 3, which is a highly sought-after skill in the 21st century. Professionals will gain the knowledge and skills necessary to advance their career and increase their knowledge in a fun and practical way.

Further Education:
This course is suitable for preparing for further education. It covers a wide range of topics related to data science, including data acquisition, data visualization, and linear algebra. It also provides practical examples and exercises to help you apply the concepts you learn. Additionally, the course offers lifetime access to the lectures, PDFs, and Jupyter notebooks, allowing you to review the material at any time.

Course Provider

Provider Udemy's Stats at AZClass

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faq FAQ for Data Visualization Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is 16.00 hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Data Visualization courses and certifications, our extensive collection at azclass.net will help you.

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