Python 3 Data Science: NumPy, Pandas, and Time Series
What you'll learn
- Understand the Scientific Python Ecosystem
- Understand Data Science, Pandas, and Plotly
- Learn basics of NumPy Fundamentals
- Learn Advanced Data Visualization
- Learn Data Acquisition Techniques
- Linear Algebra and Matrices
- Time Series with Pandas
- Time Series with Plotly, Matplotlib, Altair, and Seaborn
Course content
- Preview03:08
- Preview02:55
- 00:59Please Leave your feedback
- 06:16Scientific Python Ecosystem
- 00:02Important URLs
Description
Become a Master in Data Acquisition, Visualization, and Time Series Analysis 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 and Time Series 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 Pandas Time Series with Python 3, this course is for you! In this course we will teach you Data Science and Time Series 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 100 lectures and more than 13 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Time Series Analysis!
This course will teach you Data Science and Time Series 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.
We cover a wide variety of topics, including:
Basics of Scientific Python Ecosystem
Basics of Pandas
Basics of NumPy and Matplotlib
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
Basics of Matplotlib
Installation of SciPy and Pandas
Linear Algebra with NumPy and SciPy
Data Acquisition with Python 3
MySQL and Python 3
Data Acquisition with Pandas
Dataframes and Series in Pandas
Time Series in Pandas
Time Series analysis with Matplotlib, Plotly, Seaborn, and Altair
You will get lifetime access to over 100 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!
So what are you waiting for? Learn Data Science and Time Series with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for:
- Data Science Professionals: Data Scientists and Data Engineers
- AI and Machine Learning Professionals
- Scientists, Mathematicians, Physicists, and Engineers
- Python Developers and Programmers
- Managers and Business Professionals
- Anyone who wants to learn
Instructor
![Ashwin Pajankar • 75,000+ Students Worldwide](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.1 Instructor Rating
- 1,499 Reviews
- 76,838 Students
- 22 Courses
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.