Learn NumPy, Matplotlib, Jupyter, Pandas, Plotly, Altair, Seaborn, and Time Series Analysis in a single course.
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
Requirements
Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Basic Programming and Python Programming Basics
basic mathematics knowledge will be greatly appreciated
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 95 lectures and more than 10 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
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

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