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Development Data Science Time Series Analysis

Python 3 Data Science: NumPy, Pandas, and Time Series

Learn NumPy, Matplotlib, Jupyter, Pandas, Plotly, Altair, Seaborn, and Time Series Analysis in a single course
Rating: 3.6 out of 53.6 (21 ratings)
2,441 students
Created by Ashwin Pajankar • 50,000+ Students Worldwide
Last updated 11/2019
English
English [Auto]
30-Day Money-Back Guarantee

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

25 sections • 103 lectures • 13h 9m total length

  • Preview03:08
  • Preview02:55
  • Please Leave your feedback
    00:59
  • Scientific Python Ecosystem
    06:16
  • Important URLs
    00:02

  • Python 3 on Windows
    07:48
  • Verify Python 3 environment on Windows
    04:50

  • What is Raspberry Pi
    08:39
  • Unboxing
    03:36
  • Important URLs used in the Setup of Raspberry Pi
    00:02
  • Raspbian OS Setup on Raspberry Pi Part 1
    16:49
  • Raspbian OS Setup on Raspberry Pi Part 2
    16:30
  • Remotely connect to RPi with VNC
    12:30
  • Commands used in the section
    00:04
  • Install IDLE3 on Raspberry Pi Raspbian
    02:50
  • Preview07:01

  • Hello World! on Windows
    03:04
  • Hello World! on Raspberry Pi
    05:07
  • Interpreter vs Script Mode
    09:06
  • IDLE
    12:27
  • Raspberry Pi vs PC
    05:51

  • PyPI and pip
    05:28
  • pip on Windows
    04:40
  • pip3 on Raspberry Pi
    08:36

  • Install NumPy and Matplotlib on Windows
    04:05
  • Install NumPy and Matplotlib on Raspberry Pi
    06:21

  • Jupyter and IPython
    12:48
  • Jupyter Installation on Windows
    06:31
  • Jupyter Installation on Raspberry Pi
    06:36
  • Remote connection with PuTTY
    04:01
  • Connect to a remote Jupyter Notebook
    07:59
  • A brief tour of Jupyter
    22:02
  • Commands used in the section
    00:03

  • Introduction to NumPy
    04:53
  • Ndarrays, Indexing and Slicing
    20:55
  • Ndarray Properties
    06:59
  • NumPy Constants
    02:51
  • NumPy Datatypes
    00:02

  • Ones and Zeros
    08:23
  • Matrices
    04:59
  • Introduction to Matplotlib
    03:53
  • Numerical Ranges and Matplotlib
    15:54

  • Random Sampling
    04:58

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 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 • 50,000+ Students Worldwide
Science Popularizer | Programmer | Maker | Author
Ashwin Pajankar • 50,000+ Students Worldwide
  • 4.0 Instructor Rating
  • 1,432 Reviews
  • 70,982 Students
  • 23 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.

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