Online Data Science Courses
Big Data is the next gold rush and understanding its value and how to leverage its power will make or break businesses in the coming decades. Online Data Science courses are the surest way to learn the basic skills needed to survive in modern markets and professional workplaces. From deep learning technologies to advanced business analyticsâ€”the field of data science is growing at an unparalleled rate. Get started today with easyaccess free online data science courses and prepare to start advancing your professional skillset!
Data Science
Showing 145–180 of 180 results

Data Science
Probabilistic Graphical Models 1: Representation
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the
SKU: 54adc3186b49 
Data Science
Probabilistic Graphical Models 2: Inference
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the
SKU: 97919d492c8e 
Data Science
Probabilistic Graphical Models 3: Learning
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the
SKU: 84bc5cceb2fb 
Data Science
Problem Solving with Excel
This course explores Excel as a tool for solving business problems. In this course you will learn the basic functions of excel through guided demonstration. Each week you will build on your excel skills and be provided an opportunity to practice what youâ€™ve learned. Finally, you will have a chance to put your knowledge to
SKU: 60b56d341e5c 
Data Science
Process Mining: Data science in Action
Process mining is the missing link between modelbased process analysis and dataoriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.
Data science is the profession of the future, because organizations that are
SKU: cf575904172c 
Data Science
Python for Data Science
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginnerfriendly Python course will take you from zero to programming in Python in a matter of hours.
Module 1 – Python Basics
â€¢
o Your first program
o Types
o Expressions and Variables
o String Operations
Module 2 – Python Data Structures
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o Lists and Tuples
o Sets
o Dictionaries
Module 3 –SKU: 0c8224f8cfb6 

Data Science
Recommender Systems Capstone
This capstone project course for the Recommender Systems Specialization brings together everything you’ve learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project. You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender
SKU: cf2705bdf95f 
Data Science
Recommender Systems: Evaluation and Metrics
In this course you will learn how to evaluate recommender systems. You will gain familiarity with several families of metrics, including ones to measure prediction accuracy, rank accuracy, decisionsupport, and other factors such as diversity, product coverage, and serendipity. You will learn how different metrics relate to different user goals and business goals.
SKU: df3bca2d3390 
Data Science
Regression Modeling in Practice
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able
SKU: 0793c2c2fc47 
Data Science
Relational Database Support for Data Warehouses
Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you’ll use analytical elements of SQL for answering business intelligence questions. You’ll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and
SKU: 0d10601a7091 
Data Science
Reproducible Research
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is
SKU: fa80e2583bd1 
Data Science
Reproducible Templates for Analysis and Dissemination
This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to
SKU: fe5573e3d7ad 
Data Science
Research Data Management and Sharing
This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data
SKU: 347237110b28 
Data Science
Science Literacy – How Solid Science Can Help You Save the World
This course will help you become scientifically literate so that you can make better choices for yourself and the world. Unlike other courses on statistics and scientific methods, we explore global challenges – such as poverty or climate change – and then discuss how key approaches of statistics and scientific methods can help tackle these
SKU: 1bb462c1dadb 
Data Science
Sequence Models
This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others.
You will:
–SKU: 41ec93f4f273 
Data Science
Serverless Machine Learning with Tensorflow on Google Cloud Platform
This oneweek accelerated ondemand course provides participants a a handson introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and handon labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop handson skills in developing, evaluating, and productionizing ML models.
OBJECTIVES
This course teaches participants the
SKU: 7fa5892721f2 
Data Science
Social Media Data Analytics
Learner Outcomes: After taking this course, you will be able to:
– Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr.
– Process the collected data – primarily structured – using methods involving correlation, regression, and classification to derive insights about the sources and peopleSKU: 0cca29a83fb2 
Data Science
Spatial Data Science and Applications
Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists. Based
SKU: 3e0d81fe412f 
Data Science
SQL for Data Science
As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, â€œpart mathematician, part computer scientist, and part trend spotterâ€ (SAS Institute, Inc.). According to
SKU: 13a5157128e8 



Data Science
Statistics with R Capstone
The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data
SKU: 1453b56dd0df 
Data Science
Structuring Machine Learning Projects
You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team’s work, this course will show you how.
Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many
SKU: 392e4462ff71 
Data Science
Text Mining and Analytics
This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.
Detailed analysis of text data requires
SKU: 438d9b5fbbfc 
Data Science
Text Retrieval and Search Engines
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors,
SKU: df9366c8a220 
Data Science
The R Programming Environment
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to
SKU: e8d6ace561b3 
Data Science
The Unix Workbench
Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app. The means to these goals are sometimes carried out by writing software. Software canâ€™t be mined
SKU: 607e7b2b059e 
Data Science
Understanding Your Data: Analytical Tools
Are you trying to understand data from your research? Learn how and when to conduct mediation, moderation, and conditional indirect effects analyses? Or, perhaps, how to theorize and test your theoretical models? If so, this is the course for you! We will walk you through the steps of conducting multilevel analyses using a real dataset
SKU: 36ae04adb62c 
Data Science
What is Data Science?
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field
SKU: 8cee4db2716c