This course is the first part of a learning series that will guide you step by step on your journey to becoming a data scientist. Data scientist is one of the top career paths in the US and this class will introduce you to Python for data science. You’ll start by installing Python via the Anaconda development environment and then you’ll take a comprehensive tour of the program you’ll use to write code, Jupyter Notebooks. Before you know it, you’ll be ready to start using Python for data science.
- Access 9 lectures & 1 hour of content 24/7
- Explore Python basics
- Discuss Python lists, functions & packages
- Take a deep dive into NumPy
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 and even popular applications like Pinterest and Instagram are built using it. This course is a step by step guide through the Python 3 programming language. You will go from a complete Python beginner, installing Python to creating your own programs.
- Access 131 lectures & 7 hours of content 24/7
- Explore Python Variables, Strings, Numbers, & Comments
- Take a deep dive into Lists, User input, Conditional tests, Dictionaries, & more
- Understand how to use Functions, Classes, Files, Tests, & more
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
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
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
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
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
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
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
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