Data Science : Plotly, NumPy, Matplotlib, and Pandas

Name: Data Science : Plotly, NumPy, Matplotlib, and Pandas
Brand: Udemy
SKU: 59046
Price: 11.99 USD
Availability: InStock

$11.99Track price

Ashwin Pajankar 50,000+ Students Worldwide 54 Python Udemy

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Reviews (5)

8.1/10 (Our Score)

Product is rated as #431 in category Python

Become a Master in Data Acquisition and Visualization with Python 3 and acquire employers’ one of the most requested skills of 21st Century! An expert level Data Science Professional can earn minimum $100000 (that’s five zeros after 1) in today’s economy.

This is the most comprehensive, yet straight–forward course for the Data Science with Python 3 on Udemy! Whether you have never worked with Data Science before, already know basics of Python, or want to learn the advanced features of Plotly and Pandas with Python 3, this course is for you! In this course we will teach you Data Science with Python 3, Jupyter, NumPy, Pandas, Matplotlib, and Plotly .

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

With over 120 lectures and more than 13.5 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Plotly!

This course will teach you Data Science in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, Jupyter, Pandas, and Plotly installed on your Windows computer and Raspberry Pi.

Instructor Details

Ashwin Pajankar 50,000+ Students WorldwideScience Popularizer | Programmer | Maker | Author

Votes: 0

Courses : 3

Ashwin Pajankar is a Science Popularizer, a Programmer, a Maker, and an Author. He has a Master of Technology in Computer Science and Engineering from International Institute of Information Technology Hyderabad (IIIT-H). Ashwin has published more than a dozen of books on Python Programming, Test Automation, Raspberry Pi, Computer Vision, Arduino, and Supercomputing with reputed global publishers like Packt, Apress, Leanpub, and BPB. He has reviewed five books on Data Mining, Machine Learning, Python 3 Programming, and Raspberry Pi for Packt. He has also reviewed a video course on Raspberry Pi for Packt. He has earned many professional certifications in the areas of development, administration, and testing from Oracle, IBM, Informatica, Teradata, and ISTQB. He has more than twenty five years of experience in STEM (Science, Technology, Engineering, and Mathematics), Programming, and Innovation. He started tinkering with electronics, home computers, programming, and science experiments at the tender age of 8. He began his programming journey with BASIC and Assembly Language of 8085 and x86 family. He has over a decade of work experience in a few big brands like Cisco Systems and Cognizant in technical roles. He also has worked in a couple of startups in technical leadership roles. Ashwin has trained thousands of professionals on the topics like Python Programming, Test Automation, Innovation, and IoT. He is committed to the vision of bringing Science and Technology education to masses. He has won several awards at university and workplaces for social initiatives and community service.

Specification: Data Science : Plotly, NumPy, Matplotlib, and Pandas

Duration	14 hours
Year	2019
Level	Intermediate
Certificate	Yes
Quizzes	No

5 reviews for Data Science : Plotly, NumPy, Matplotlib, and Pandas

3.2 out of 5

★★★★★

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★★★★★
Sumit Kumar – March 27, 2019
This is a really good course for beginners. when you have done this course than you know how to use python libraries.if you expect advanced level than this is not for you.
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★★★★★
Alain Kabera Linga – July 26, 2019
Very good! I really appreciate.
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★★★★★
Abhrajit PaL – November 8, 2019
Not up to the mark
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★★★★★
Shubham Agarwal – December 31, 2019
The course was good, wide area of topics were covered but explanation of the code was not that great, At some points the tutor just skipped the explanation. This course is particularly for learners who are wiling to get the very basics of data visualization.
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★★★★★
Ravikiran Warad – June 14, 2020
I understood new things in this course..it was good…
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