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Python 3 Data Science – Time Series with Pandas

Python 3 Data Science - Time Series with Pandas
Python 3 Data Science - Time Series with Pandas

Python 3 Data Science – Time Series with Pandas

Learn NumPy, Matplotlib, Jupyter, Pandas, Plotly, Altair, Seaborn, and Time Series Analysis in a single course

What you’ll learn

Python 3 Data Science – Time Series with Pandas

  • Understand the Scientific Python Ecosystem
  • Understand Data Science, Pandas, and Plotly
  • Learn basics of NumPy Fundamentals
  • 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

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 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:

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  • 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

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
  • Content From: https://www.udemy.com/python3-pandas-datascience-timeseries/
  • Python The Quickest Way: Python Essentials Course – Rapid!

Python 3 Data Science – Time Series with Pandas

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