Python 3 Data Science – Time Series with Pandas Course

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 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
• The 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