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Data Visualisation in Python (Codecademy)

Matplotlib is the most commonly used graphing tool in Python. You will learn how to: Create line graphs, bar charts, pie graphs, add error bars to graphs, add labels and styling to graphs. You will learn how to choose color schemes for your graphs and take them to the next level.

Introduction to Statistics with NumPy (Codecademy)

In this set of courses, you will learn the basics of NumPy, a Python module for performing numerical operations on large quantities of data.

Python 3 Tutorial (Codecademy)

This course is a great introduction to both fundamental programming concepts and the Python programming language. Python 3 is the most up-to-date version of the language with many improvements made to increase the efficiency and simplicity of the code that you write.

Learn R (Codecademy)

In this course, you'll be exposed to fundamental programming concepts in R. After the basics, you'll learn how to organize, modify and clean data frames, a useful data structure in R. Then you'll learn how to create data visualizations to showcase insights in data! Finish up with statistics and hypothesis testing to become a data analysis expert.

Learn Machine Learning (Codecademy)

This course covers the foundational machine learning algorithms that will help you advance in your career. Whether you're trying to analyze a dataset using machine learning, or you're a data analyst trying to upgrade your skills, this course is the best place to start.

Data Science Learning Path (Codecademy)

Companies are looking for data-driven decision makers, and this Career Path will teach you the skills you need to become just that. You'll learn to analyze data, communicate your findings, and even draw predictions using machine learning. Along the way, you'll build portfolio-worthy projects that will help you get job-ready.

Learn Python

In this path you will learn the basics of Python and more advanced topics such as object-oriented design and code organization.

Python Introduction

Python is a widely used high-level dynamic programming language. It is a very simple, friendly and easy to learn programming language. It is the best choice for a beginner programmer. Python source code is also available under GNU General Public License (GPL).

Machine Learning Course | Deep Learning Training

Remember how you learned to ride a bicycle? Now learn how to teach that process to a machine. Also, get a high paying job.

Python for Data Science | CodingElements

Learn the fundamentals of programming, data structures, web development, and data science using Python - The hottest language.

R Tutorial

Welcome to R Tutorial! R is an open source statistical language used for Data Science. R provides inbuilt functions like mean, median etc and data structures like Array, Matrix and Data Frame to help with statistics.

Accounting Analytics (Coursera)

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton's acclaimed accounting professors, you'll learn how data is used to assess what drives financial performance and to forecast future financial scenarios.

Managerial Accounting: Cost Behaviors, Systems, and Analysis (Coursera)

In this course, you will learn how to use accounting to facilitate and align decisions made by owners, managers, and employees. You will learn how accountants create, organize, interpret, and communicate information that improves internal processes, and allows organizations to identify and leverage opportunities to create value within the supply chain and with customers.

Accounting Analysis I: The Role of Accounting as an Information System (Coursera)

This course is the first course in a five-course Financial Reporting Specialization that covers the collection, processing, and communication of accounting information (via financial reports) about economic entities to interested parties (i.e., managers and external stakeholders such as stockholders and creditors).

Data Visualization with Advanced Excel by PwC (Coursera)

In this course, you will get hands-on instruction of advanced Excel 2013 functions. You'll learn to use PowerPivot to build databases and data models. We'll show you how to perform different types of scenario and simulation analysis and you'll have an opportunity to practice these skills by leveraging some of Excel's built in tools including, solver, data tables, scenario manager and goal seek.

AI For Everyone (Coursera)

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

Machine Learning With Big Data (Coursera)

This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

Mathematical Biostatistics Boot Camp 1 (Coursera)

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Mathematical Biostatistics Boot Camp 2 (Coursera)

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

Building Resilient Streaming Analytics Systems Systems on Google Cloud Platform (Coursera)

This course covers how to build streaming data pipelines on Google Cloud Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis.

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