Coursera

Coursera.org is one of the largest online learning platforms in the world, with over 45 million registered users. They offer courses and learning opportunities from some of the best universities and professors in the world, from the comfort of your own home. The platform is designed to help people grow personally and professionally, both for those just starting in their careers and for those who are established professionals looking to expand their knowledge base.
Total courses: 1422
Coursera
Building Deep Learning Models with TensorFlow
4.36

The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures...

  • Coursera
  • Flexible deadline
  • 13 hours
  • Certificate
Cluster Analysis in Data Mining
4.48

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based method...

  • Coursera
  • Flexible deadline
  • 17 hours
  • Certificate
Data Science in Real Life
4.44

Identify strengths and weaknesses in experimental designsLearn novel solutions for managing data pullsDescribe common pitfalls in communicating data analysesUnderstand a typical day in the life of a data analysis manager

  • Coursera
  • Flexible deadline
  • 7 hours
  • Certificate
Essential Design Principles for Tableau
4.44

Examine and improve an ineffective visualization Examine and improve an ineffective visualization Apply visualization best practices Create and design visualizations that work best for the target audience

  • Coursera
  • Flexible deadline
  • 13 hours
  • Certificate
Introduction to Data Analytics for Business
4.66

This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization...

  • Coursera
  • Flexible deadline
  • 12 hours
  • Certificate
Linear Regression and Modeling
4.74

This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical...

  • Coursera
  • Flexible deadline
  • 8 hours
  • Certificate
Microsoft Azure for Data Engineering
4.55

You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.

  • Coursera
  • Flexible deadline
  • 6 hours
  • Certificate
ML Pipelines on Google Cloud
3.51

In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or...

  • Coursera
  • Flexible deadline
  • 11 hours
  • Certificate
Statistics for Genomic Data Science
4.25

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

  • Coursera
  • Flexible deadline
  • 9 hours
  • Certificate
AI Applications in People Management
4.72

In this course, you will learn about Artificial Intelligence and Machine Learning as it applies to HR Management. You will explore concepts related to the role of data in machine learning, AI application, limitations of...

  • Coursera
  • Flexible deadline
  • 9 hours
  • Certificate
Mathematics for Machine Learning: PCA
4.02

Implement mathematical concepts using real-world dataDerive PCA from a projection perspectiveUnderstand how orthogonal projections workMaster PCA

  • Coursera
  • Flexible deadline
  • 18 hours
  • Certificate
Managing Big Data with MySQL
4.72

This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held...

  • Coursera
  • Flexible deadline
  • 32 hours
  • Certificate
Building AI Applications with Watson APIs
4.27

A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of...

  • Coursera
  • Flexible deadline
  • 17 hours
  • Certificate
How to Win a Data Science Competition: Learn from Top Kagglers
4.67

If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various...

  • Coursera
  • Flexible deadline
  • 54 hours
  • Certificate
Command Line Tools for Genomic Data Science
4.06

Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

  • Coursera
  • Flexible deadline
  • 12 hours
  • Certificate
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
4.74

The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge...

  • Coursera
  • Flexible deadline
  • 21 hours
  • Certificate
SQL for Data Science with R
4.03

Create and access a database instance on the cloudCompose and execute basic SQL statements - SELECT, INSERT, UPDATE, DELETE, CREATE, DROPConstruct SQL statements to filter, sort, group results, use built-in functions, compose nested queries, access...

  • Coursera
  • Flexible deadline
  • 16 hours
  • Certificate
Statistical Inference
4.24

Understand the process of drawing conclusions about populations or scientific truths from dataDescribe variability, distributions, limits, and confidence intervalsUse p-values, confidence intervals, and permutation testsMake informed data analysis de...

  • Coursera
  • Flexible deadline
  • 54 hours
  • Certificate
A Complete Reinforcement Learning System (Capstone)
4.69

In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component-problem formulation,...

  • Coursera
  • Flexible deadline
  • 16 hours
  • Certificate
Data Storage in Microsoft Azure
4.55

You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for your data.

  • Coursera
  • Flexible deadline
  • 16 hours
  • Certificate