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numpy,pandas and data visualisation course

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numpy,pandas and data visualisation course, available at $19.99, has an average rating of 3.9, with 13 lectures, based on 40 reviews, and has 10460 subscribers.

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You will learn about Go deeper to understand complex topics in python numpy, pandas and data visualisation become expert in pandas,numpy and matplotlib learn to analyse data in depth using pandas Go from absolute beginner to become a confident python numpy, pandas and matplotlib user Acquire the required python numpy, pandas and matplotlib knowledge you need to excel in data Science, machine Learning, ai and deep learning learn to visualise data like pro in matplotlib and pandas This course is ideal for individuals who are Students interested towards data science career path or Students interested towards data analyst career path or This course is for you if you want to learn NumPy, Pandas, and Matplotlib for the first time or get a deeper knowledge of NumPy and Pandas to increase your productivity with deep and Machine learning. or This course is for you if you are coming from other programming languages and want to learn Python NumPy and Pandas fast and know it really well. or This course is for you if you are tired of NumPy, Pandas, and Matplotlib courses that are too brief, too simple, or too complicated. or This course is for you if you want to build real-world applications using NumPy or Panda and visualize them with Matplotlib. or This course is for you if you want to master the in-and-out of NumPy, Pandas, and data visualization. or Existing Software Programmers who want to shift to Data Science career or This course is for you if plan to pass an interview soon. It is particularly useful for Students interested towards data science career path or Students interested towards data analyst career path or This course is for you if you want to learn NumPy, Pandas, and Matplotlib for the first time or get a deeper knowledge of NumPy and Pandas to increase your productivity with deep and Machine learning. or This course is for you if you are coming from other programming languages and want to learn Python NumPy and Pandas fast and know it really well. or This course is for you if you are tired of NumPy, Pandas, and Matplotlib courses that are too brief, too simple, or too complicated. or This course is for you if you want to build real-world applications using NumPy or Panda and visualize them with Matplotlib. or This course is for you if you want to master the in-and-out of NumPy, Pandas, and data visualization. or Existing Software Programmers who want to shift to Data Science career or This course is for you if plan to pass an interview soon.

Enroll now: numpy,pandas and data visualisation course

Summary

Title: numpy,pandas and data visualisation course

Price: $19.99

Average Rating: 3.9

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

  • Go deeper to understand complex topics in python numpy, pandas and data visualisation
  • become expert in pandas,numpy and matplotlib
  • learn to analyse data in depth using pandas
  • Go from absolute beginner to become a confident python numpy, pandas and matplotlib user
  • Acquire the required python numpy, pandas and matplotlib knowledge you need to excel in data Science, machine Learning, ai and deep learning
  • learn to visualise data like pro in matplotlib and pandas

Who Should Attend

  • Students interested towards data science career path
  • Students interested towards data analyst career path
  • This course is for you if you want to learn NumPy, Pandas, and Matplotlib for the first time or get a deeper knowledge of NumPy and Pandas to increase your productivity with deep and Machine learning.
  • This course is for you if you are coming from other programming languages and want to learn Python NumPy and Pandas fast and know it really well.
  • This course is for you if you are tired of NumPy, Pandas, and Matplotlib courses that are too brief, too simple, or too complicated.
  • This course is for you if you want to build real-world applications using NumPy or Panda and visualize them with Matplotlib.
  • This course is for you if you want to master the in-and-out of NumPy, Pandas, and data visualization.
  • Existing Software Programmers who want to shift to Data Science career
  • This course is for you if plan to pass an interview soon.

Target Audiences

  • Students interested towards data science career path
  • Students interested towards data analyst career path
  • This course is for you if you want to learn NumPy, Pandas, and Matplotlib for the first time or get a deeper knowledge of NumPy and Pandas to increase your productivity with deep and Machine learning.
  • This course is for you if you are coming from other programming languages and want to learn Python NumPy and Pandas fast and know it really well.
  • This course is for you if you are tired of NumPy, Pandas, and Matplotlib courses that are too brief, too simple, or too complicated.
  • This course is for you if you want to build real-world applications using NumPy or Panda and visualize them with Matplotlib.
  • This course is for you if you want to master the in-and-out of NumPy, Pandas, and data visualization.
  • Existing Software Programmers who want to shift to Data Science career
  • This course is for you if plan to pass an interview soon.

Nearly every scientist working in Python draws on the power of NumPy.

NumPybrings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

We’ll start with a NumPy primer to introduce arrays and array properties, practice common operations like indexing, slicing, filtering and sorting, and explore important concepts like vectorization and broadcasting.

Pandasis an open-source library that is made mainly for working with relational or labeled data both easily and intuitively. It provides various data structures and operations for manipulating numerical data and time series. This library is built on top of the NumPy library. Pandas is fast and it has high performance & productivity for users.

Why learn pandas?

If you’ve spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!

Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandasis a powerhouse tool that allows you to do anything and everything with colossal data sets — analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it “Excel on steroids”!

Over the course of more than 19 hours, I’ll take you step-by-step through Pandas, from installation to visualization! We’ll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We’ll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Whether you’re a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Pythonoffers you an incredible introduction to one of the most powerful data toolkits available today!

Matplotlibis easy to use and an amazing visualizing library in Python. It is built on NumPy arrays and designed to work with the broader SciPy stack and consists of several plots like line, bar, scatter, histogram, etc.

Matplotlib Anatomy

As the name implies, in this section you will learn how Matplotlib works and how a variety of charts are generated.

It gives you a solid understanding and a lot of aha-moments when it comes to creating and / or customizing charts that you haven’t dealt with before.

Create 2D Charts

In this section, you will generate plethora of charts using Matplotlib OOP, and Pandas and mix them together to achieve the maximum efficiency and granular control over graphs.

Axes Statistical Charts

Here we will learn how to make statistical charts such as Auto Correlation, Boxplots, Violinplots and KDE plots with Matplotlib OOP and Pandas.

Seaborn

Seaborn, a high-level interface to Matplotlib helps make statistical plots with ease and charm. It is a must-know library for data exploration and super easy to learn. And in this section, we will create Regression plots, Count plots, Barplots, Factorplots, Jointplots, Boxplots, Violin plots and more.

Course Curriculum

Chapter 1: Pandas

Lecture 1: Lecture 6

Lecture 2: Lecture 5

Lecture 3: Lecture 4

Lecture 4: Lecture 3

Lecture 5: Lecture 2

Lecture 6: Lecture 1

Chapter 2: Numpy

Lecture 1: Lecture 3

Lecture 2: Lecture 2

Lecture 3: Lecture 1

Chapter 3: Matplotlib

Lecture 1: Lecture 4

Lecture 2: Lecture 3

Lecture 3: Lecture 2

Lecture 4: Lecture 1

Instructors

Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 3 votes
  • 3 stars: 7 votes
  • 4 stars: 11 votes
  • 5 stars: 16 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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