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Learn Data Science with Python Part 2: Analyze, Visualize & Present data

KEY FEATURES

After being introduced to Python, this Learn Data Science with Python Part 2 is an essential step to keep moving forward. Right out of the gate, you will learn Python visualizations skills that you can apply in the real world. You will learn how to master Matplotlib to produce several plots and graphs. The course will cover Python dictionaries, Pandas DataFrame, Boolean logic, and more. All lessons are created using Jupyter Notebooks which means that you can download the Python code, experiment and improve upon.

  • Access 10 lectures & 1 hour of content 24/7
  • Learn how to create Python dictionaries to harness & manipulate massive amounts of data
  • Import CSV files w/ Pandas DataFrame
  • Combine different comparison operators w/ Boolean logic

PRODUCT SPECS

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels

Requirements

  • Internet access required

THE EXPERT

Instructor

Tony Staunton is a Python development and productivity consultant, helping over 20,000 students. Tony created and ran his own software business and won several awards from, a most innovative startup to the best product.

Learn Data Science with Python Part 3: Functions, Iterators & Generators

KEY FEATURES

This 1-hour course will take your data science skills to the next level to help you develop a deeper understanding of the Python programming language. You’ll start by learning how to write simple functions, then move on to writing functions that accept multiple arguments and return multiple values. You’ll then proceed to write functions with default arguments, learn Lambda functions, and work with iterators and generators. The course ends with a final project to apply what you’ve learned.

  • Access 11 lectures & 1 hour of content 24/7
  • Write your own functions to solve problems w/ data
  • Write functions w/ default & variable-length arguments
  • Learn how to handle errors that your functions will generate from time-to-time throw
  • Look at how iterators & generators can help you deal w/ large amounts of data

PRODUCT SPECS

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels

Requirements

  • Internet access required

THE EXPERT

Instructor

Tony Staunton is a Python development and productivity consultant, helping over 20,000 students. Tony created and ran his own software business and won several awards from, a most innovative startup to the best product.

Practical Data Pre-Processing & Visualization Training with R

KEY FEATURES

This course is designed to equip you to use some of the most important R data wrangling and visualization packages such as dplyr and ggplot2. You’ll discover data visualization concepts in a practical manner that will help you apply them for practical data analysis and interpretation. You’ll also be able to determine which wrangling and visualization techniques are best suited to specific problems.

  • Access 51 lectures & 6 hours of content 24/7
  • Read in data into the R environment from different sources
  • Carry out basic data pre-processing & wrangling in R Studio
  • Learn to identify which visualizations should be used in any given situation
  • Build powerful visualizations & graphs from real data

Note: Software not included

PRODUCT SPECS

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels

Requirements

  • Internet access required

THE EXPERT

Instructor

Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a Data Scientist on the side. As a part of her research, she has to carry out extensive data analysis, including spatial data analysis using tools like R, QGIS, and Python. Minerva also holds an MPhil degree in Geography and Environment from Oxford University.

Master PyTorch For Artificial Neural Networks (ANN) & Deep Learning

KEY FEATURES

This is a complete neural network and deep learning training with PyTorch in Python. It’s a full 6-hour PyTorch Bootcamp that will help you learn basic machine learning, how to build neural networks and explore deep learning using one of the most important Python Deep Learning frameworks. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and the advent of frameworks such as PyTorch is revolutionizing deep learning. By gaining proficiency in PyTorch, you can give your company a competitive edge and boost your career to the next level.

  • Access 52 lectures & 6 hours of content 24/7
  • Learn implement deep learning models w/ PyTorch
  • Implement PyTorch based deep learning algorithms on imagery data
  • Configure the Anaconda Environment for getting started w/ PyTorch
  • Implement common machine learning algorithms for Image Classification

Note: Software not included

PRODUCT SPECS

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels

Requirements

  • Basic knowledge of Python programming syntax & concepts
  • Prior exposure to Python data science concepts will be useful

THE EXPERT

Instructor

Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a Data Scientist on the side. As a part of her research, she has to carry out extensive data analysis, including spatial data analysis using tools like R, QGIS, and Python. Minerva also holds an MPhil degree in Geography and Environment from Oxford University.

Keras Bootcamp for Deep Learning & AI in Python

KEY FEATURES

This is a full 3-hour Python Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using one of the most important Deep Learning frameworks—Keras. This course is your complete guide to the practical machine and deep learning using the Keras framework in Python. This means, this course covers the important aspects of Keras (Google’s powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Keras based data science.

  • Access 35 lectures & 3 hours of content 24/7
  • Get started w/ Jupyter notebooks for implementing data science techniques in Python
  • Understand the basics of Keras syntax
  • Create artificial neural networks & deep learning structures w/ Keras

Note: Software not included

PRODUCT SPECS

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels

Requirements

  • Prior exposure to Python-based data science will be beneficial
  • Prior exposure to basic statistical concepts & implementation will be useful
  • Prior exposure to common machine learning terms such as cross-validation

THE EXPERT

Instructor

Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a Data Scientist on the side. As a part of her research, she has to carry out extensive data analysis, including spatial data analysis using tools like R, QGIS, and Python. Minerva also holds an MPhil degree in Geography and Environment from Oxford University.

GUI Automation Using Python

KEY FEATURES

This course is designed to take the system administrators to an advanced level in Python Scripting & Automation. You will find ways to automate your daily work using the advantages of Python scripting. The professional who wants to start with Python automation and have some basic idea of the command line will find it extremely easy to understand the underlying concepts related to GUI automation. The course is intended to clear the things happening in the background so that automation ideas using Python comes from within. This journey will take you from a complete beginner to a GUI automation expert.

  • Access 37 lectures & 4 hours of content 24/7
  • Identify & automate the manual task
  • Automate day-to-day task using simple Python scripting
  • Simulate Mouse & Keyboard actions using PyAutoGUI
  • Learn to use automation for replacing manual activities at work using Python
  • Learn to make use of scripting in daily life & enhance your productivity

Note: Software not included

PRODUCT SPECS

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels

Requirements

  • PC/laptop w/ Windows OS
  • Some basic understanding of command line (Win CMD/Unix Shell) will help quickly picking up
  • Basic awareness/idea of any scripting language is a plus

THE EXPERT

Instructor

Vijay Saini is an IT professional who has diversified knowledge across multiple domains in the industry. Working in a leading cloud service provider company, he has truly shown potential in automating small to large scale automation which truly resulted in cost benefits for the business and a successful career.

Learning Automation Using Python Scripting

KEY FEATURES

This course is designed for both absolute beginners or people with some programming experience looking to learn Python, which is one of the highest in-demand skills by employers in the IT industry. The key point which makes this course unique is that it is fast yet detailed. This course provides sufficient details for you to design and develop your own Python solutions. Unlike many other Python courses, this 34-lecture course is concise and you can complete it over a weekend.

  • Access 34 lectures & 4 hours of content 24/7
  • Use both Python Console & Jupyter notebook for creating Python Scripts
  • Design & implement scalable automation solutions using Python
  • Build an expert level understanding of Python starting from scratch

Note: Software not included

PRODUCT SPECS

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels

Requirements

  • PC/laptop installed with Windows OS
  • Some basic understanding of command line (Win CMD/Unix Shell) will help quickly picking up

THE EXPERT

Instructor

Vijay Saini is an IT professional who has diversified knowledge across multiple domains in the industry. Working in a leading cloud service provider company, he has truly shown potential in automating small to large scale automation which truly resulted in cost benefits for the business and a successful career.

Learn Data Science with Python – Part 1: Python Basics, Anaconda Installation &

KEY FEATURES

Welcome to Learning Data Science with Python. This is part 1 of a learning series that will guide you step by step on your journey to becoming a data scientist.

My name is Tony Staunton and I have thought over 20,000 online students how to program using Python and I am thrilled that you have decided to become one of them.

I have over 10 years experience working as Python programmer and 4 years experience teaching online.

If you didn?t already know it, data science is terrific skill to master and a great career choice. A recent survey by the online recruitment firm Glassdoor found that becoming a Data scientist is one of the top career paths in the United States. The survey also found that data science graduates earn an average base salary of $95,000. As an entry level salary that?s even higher than a Wall Street analyst.

PRODUCT SPECS

Complete hands-on data science tutorial with Python, Anaconda Development Environment and Jupyter Notebooks

Python For Beginners : Quick Start Guide to Python 3

KEY FEATURES

Python is a one-stop shop.There’s a Python library or package for pretty much anything, from web apps to data analysis. Python is often heralded as the easiest programming language to learn, with its simple and straightforward syntax. Python has risen in popularity due to Google’s investment in it over the past decade (in fact, one recent study has shown Python to be the most commonly taught programming language in U.S. schools). Other applications built with Python include Pinterest and Instagram.

PRODUCT SPECS

Begin your Python journey here. Over the years I have tried to learn many programming languages. Most of the time I never got past the basics. But Python is different. Python is beautifully simple and yet incredibly powerful. It’s also easy to read which I love.

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