Online Course in Data Science

Best Online Courses in Data Science 2017/2018

An online course is a unit of learning that typically takes place completely online. However, some universities may require students meet in person once or twice per semester. Courses can be taken as a part of an undergraduate or graduate degree.

What is an online course in data science? This unit of study often looks at the processes used to extract knowledge from data. While many people interact with big data on a daily basis, not everyone knows what to do with this information. During an online course in data science, students may learn how to explore real-world problems within the data. Depending on the level of the course, students may cover topics, such as text mining, bar and scatter with GGPLOT2, and Hadoop. You should strive to take both introductory and advanced courses throughout your college degree if you want to learn more about data science.

By taking an online course in data science, you may better prepare yourself for a career in the industry. For example, students may gain both quantitative and statistical analysis skills, which can help increase their ability to think about business strategically. With this skill set, you may be better prepared for advancement.

The cost of taking an online course in data science can vary greatly from one school to the next. It may depend, in part, on the school’s location and the program used to virtually attend the class.

With an online course in data science, you may be better prepared for a number of careers in the big-data field. Your exact options will depend on the degree you obtain, whether it’s an undergraduate or graduate, and your field of study. Some students go on to be a data engineer, business analyst or statistician after taking courses in data science. If you want a management position, you may need to pursue a graduate degree.

Does this seem like the right course for you? Applying is easy. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.

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Fundamentals of Data Science (Technical) - an online course

Southampton Data Science Academy
Online Part time 60 hours September 2018 United Kingdom Cambridge

This course equips beginners with the theoretical knowledge and technical skills to apply the powerful insights of data science to their work, as well as providing the foundations for a career in Data Science. [+]

Top Online Courses in Data Science. This course equips beginners with the theoretical knowledge and technical skills to apply the powerful insights of data science to their work, as well as providing the foundations for a career in Data Science. Overview This course has been exclusively designed from the ground up by the world-leading Data Science team at the University of Southampton. The course emphasises a hands-on approach to learning data skills, offering a number of interactive, online exercises that will let you try out many of the techniques and concepts covered in the taught material. The technical aspects of the course are implemented using Python, and we strongly recommend you have some experience with Python or similar languages. Structure The course is broken into six weeks. In week 1, you will meet your tutor and the other participants on this course and find out more about what you will be doing over the next 6 weeks and how we will be supporting you. You will get "hands-on" experience of Jupyter, the web-based environment which you will use for the course exercises and assignments. This week also contains a Python Primer activity for those of you who are unfamiliar with the programming language or would like a refresher. In week 2, you will learn about the fundamental terminology and processes in data science, discovering the technology landscape that has helped fuel the data explosion, and the tools that data scientists use to unlock the hidden value in these vast amounts... [-]

Course: Basics Of Excel For Business

Coursera
Online Part time 8 weeks September 2018 USA USA Online

When you finish this course you will have achieved a great number of skills such as entering information, ordering, manipulating, performing calculations of various kinds (mathematical, trigonometric, statistical, financial, engineering, probabilistic), drawing conclusions, working with dates and hours, Print reports and many more. [+]

When you finish this course you will have achieved a great number of skills such as entering information, ordering, manipulating, performing calculations of various kinds (mathematical, trigonometric, statistical, financial, engineering, probabilistic), drawing conclusions, working with dates and hours, Print reports and many more. Likewise, the examples on which the contents dictated in this course are based have a profound applicability to the world of business, with which its immediate business use is at hand. Finally, the teachers who have designed and developed this course for you, not only give an academic view of the software but, due to their great professional career supported by a deep use of Excel, will transmit their own experience that will allow you to have a More concrete vision of the possibilities offered by this tool. This course is aimed at students, professionals and entrepreneurs who want to know, deepen and exploit the characteristics of Excel to apply it to their own everyday reality. [-]

Course in Python Data Structures

Coursera
Online Part time 7 weeks September 2018 USA USA Online

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. [+]

Top Online Courses in Data Science. This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3. Chapter Six: Strings In this class, we pick up where we left off in the previous class, starting in Chapter 6 of the textbook and covering Strings and moving into data structures. The second week of this class is dedicated to getting Python installed if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head start. Unit: Installing and Using Python In this module you will set things up so you can write Python programs. We do not require installation of Python for this class. You can write and test Python programs in the browser using the "Python Code Playground" in this lesson. Please read the "Using Python in this Class" material for details. Chapter Seven: Files Up to now, we have been working with data that is read from the user or data in constants. But real programs process much larger amounts of data by reading and writing files on the secondary storage on your computer. In this chapter we... [-]

Course in Machine Learning Foundations: A Case Study Approach

Coursera
Online Part time 6 weeks September 2018 USA USA Online

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? [+]

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications. Learning Outcomes: By the end of this course, you will be able to: - Identify potential applications of machine learning in practice. - Describe the core differences in analyses enabled by regression, classification, and clustering. - Select the appropriate machine learning task for a potential application. - Apply regression, classification, clustering, retrieval, recommender systems,... [-]

Course : The Data Scientist’s Toolbox

Coursera
Online Part time 4 weeks September 2018 USA USA Online

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. [+]

Top Online Courses in Data Science. In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio. Week 1 During Week 1, you'll learn about the goals and objectives of the Data Science Specialization and each of its components. You'll also get an overview of the field as well as instructions on how to install R. Week 2: Installing the Toolbox This is the most lecture-intensive week of the course. The primary goal is to get you set up with R, Rstudio, Github, and the other tools we will use throughout the Data Science Specialization and your ongoing work as a data scientist. Week 3: Conceptual Issues The Week 3 lectures focus on conceptual issues behind study design and turning data into knowledge. If you have trouble or want to explore issues in more depth, please seek out answers on the forums. They are a great resource! If you happen to be a superstar who already gets it, please take the time to help your classmates by answering their questions as well. This is one of... [-]

Course in Introduction to Data Science in Python

Coursera
Online Part time 4 weeks September 2018 USA USA Online

This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. [+]

This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. This course is part of “Applied Data Science with Python“ and is intended for learners who have basic python or programming background, and want to apply statistics, machine learning, information visualization, social network analysis, and text analysis techniques to gain new insight into data. Only minimal statistics background is expected, and the first course contains a refresh of these basic concepts. There are no geographic restrictions. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in these courses valuable in their studies and careers. Week 1... [-]

MOS Excel 2016 Course

Distance Learning Centre
Online Part time 100 hours Open Enrollment United Kingdom UK Online

The MOS Excel 2016 Course (Desktop / Office 365) covers Microsoft Office Specialist exam objectives to help students prepare for the Excel 2016 77-727 Core Data Analysis, Manipulation, and Presentation Exam and the Excel 2016 Expert 77-728 Interpreting Data for Insights Exam. [+]

Top Online Courses in Data Science. The MOS Excel 2016 Course (Desktop / Office 365) covers Microsoft Office Specialist exam objectives to help students prepare for the Excel 2016 77-727 Core Data Analysis, Manipulation, and Presentation Exam and the Excel 2016 Expert 77-728 Interpreting Data for Insights Exam. Microsoft Excel is the industry standard for Spreadsheets and helps companies and individuals to calculate, analyse, revise, update, and present your data in a professional way and this course will show students how to accomplish their tasks in much less time, than if you used traditional pen-and-paper methods or non-specialised software. This course aims to provide you with a foundation for Excel knowledge and skills, which you will build upon this to eventually become an expert in data manipulation. The course Includes: Microsoft Excel 2016 - Course Book 1 Upon successful completion of this book, you will be able to create and develop Excel worksheets and workbooks in order to work with and analyse the data that is critical to the success of your organisation. Students will learn to: Get started with Microsoft Office Excel 2016. Perform calculations. Modify a worksheet. Format a worksheet. Print workbooks. Manage workbooks. Microsoft Excel 2016 - Course Book 2 Upon successful completion of this book, you will be able to leverage the power of data analysis and presentation in order to make informed, intelligent organisational decisions. Students will learn to: Work with functions. Work with lists. Analyse data. Visualize data with charts. Use PivotTables and PivotCharts.... [-]

ECDL Online Course

Distance Learning Centre
Online Part time 80 hours Open Enrollment United Kingdom UK Online

The European Computer Driving Licence (ECDL) is a relevant and internationally recognised qualification for computer users. ECDL improves your understanding and efficient use of computers. This distance learning course open up a variety of opportunities through the broad range of skills it provides. [+]

The European Computer Driving Licence (ECDL) is a relevant and internationally recognised qualification for computer users. ECDL improves your understanding and efficient use of computers. This distance learning course open up a variety of opportunities through the broad range of skills it provides. The qualification is widely recognised by employers as proof of ability and competence when working with IT. The ECDL is designed for novice and intermediate computer users. It assumes no prior expertise, and offers a flexible working programme. ECDL Test Options The ECDL qualification can be completed in the following formats: ECDL Essentials: is a Level 1 ITQ Award and consists of modules 1, 2 & 7. ECDL Extra is a Level 2 ITQ Award and consists of modules 3, 4, 6 and the new Improving Productivity Using IT Module. ECDL 7 Unit consists of Modules 1 to 7 and excludes the Productivity in IT module. The qualification is widely recognised by employers as proof of ability and competence when working with computers. The course has the following Modules: Module 1 - Security for IT Users Module 2 - IT User Fundamentals Module 3 - Word Processing Module 4 - Spreadsheets Module 5 - Database Software Module 6 - Presentation Software Module 7 - Internet and Email Module 8 - Improving Productivity Using IT [-]

AWS Database Migration Service Course

Simplilearn
Online Part time Open Enrollment USA USA Online

Get an understanding on how easily and securely you can move databases onto cloud, understand how the AWS Schema Conversion tool works and learn how the AWS Database Migration service supports both homogenous and heterogeneous migrations. [+]

Top Online Courses in Data Science. Get an understanding on how easily and securely you can move databases onto cloud, understand how the AWS Schema Conversion tool works and learn how the AWS Database Migration service supports both homogenous and heterogeneous migrations. For individuals Self-Paced Learning 180 days of access to high-quality, self-paced learning content designed by industry experts For business/Corporate training solutions Blended learning delivery model (self-paced e-learning and/or instructor-led options) Course, category, and all-access pricing Enterprise-class learning management system (LMS) Enhanced reporting for individuals and teams 24x7 teaching assistance and support Key features 3 hours of self-paced learning 5 live demos 1 hands-on practice project What is the focus of this course? AWS Database Migration Service is an innovative service that helps you easily migrate your databases to the AWS cloud. This course will demonstrate the key functionality of AWS Database Migration Service and will help you understand how to easily and securely move databases into the AWS cloud platform to take advantage of the cost savings and scalability of AWS. You will also learn how the AWS Database Migration Service supports both homogenous and heterogeneous migrations and will see a demonstration of a SQL Server to MySQL database migration. What are the course objectives? The main objectives of this course are: Get an overview of AWS DMS Understand how the AWS Schema Conversion tool works Understand the three types of AWS Database Migration Service Review the AWS Database Migration Service Who should take this course? AWS absolute... [-]

Online Course: Open Data Governance, from Policy to Use

TU Delft Open & Online Education
Online 5 weeks Netherlands Netherlands Online

Are you an administrator, policy advisor, developer, government official or professional in an agency that is interested in opening, governing and using open data? If you want to obtain professional knowledge and experience in the area of open data provision and use, then this course will teach you the potential of open data, as well as the challenges that need to be faced. [+]

Online Course: Open Data Governance, from Policy to Use OVERVIEW Despite the fact that more open data is available, its potential to generate benefits is often not fully realized. The governance and use of data is complex and challenging since data is derived from a wide variety of sources. How do we ensure that open data is used effectively? Which metadata should be opened up with the dataset? How should data providers and users treat privacy issues? How can we assess data quality? Which are the best tools with which to analyze data? To harness the power of open data new approaches are required. In order to benefit from increased transparency, greater understanding of public and private problems (through advanced data analytics), enhanced innovation and economic growth we need strong guidelines and innovative ideas for open data policy making as well as its development and use. Who is this course for? This course empowers both policy makers and developers so they can produce better open data policies and make better use of open data. This course is primarily geared towards working professionals such as administrators, consultants, policy advisors, developers, government officials or professionals in agencies, think tanks, research groups that are interested in opening, governing and using open data. Choose your own track and receive personal feedback During week 2 and 3 of the course, you can choose to follow a track of your choice. It is also possible to follow both tracks. Participants will receive feedback on the case... [-]

Course Deploying and Managing Windows 10 Using Enterprise Services Training

Simplilearn
Online Part time Open Enrollment USA USA Online

This course provides administrators with the knowledge and skills necessary to deploy and manage Windows 10 desktops, devices, and applications in an enterprise environment. Students learn how to plan and implement Windows 10 deployments in large organizations. [+]

Top Online Courses in Data Science. Course description What’s the focus of this course? This course provides administrators with the knowledge and skills necessary to deploy and manage Windows 10 desktops, devices, and applications in an enterprise environment. Students learn how to plan and implement Windows 10 deployments in large organizations. Students also learn how to manage the Windows 10 installations after deployment to provide secure identity and data access using technologies related to Group Policy, Remote Access, and Workplace Join. To support a variety of device and data management solutions, Microsoft Azure Active Directory, Microsoft Intune, and Microsoft Azure Rights Management are introduced. These services are part of the Enterprise Mobility Suite, which provides identity and access management, and cloud-based device, application, and update management. In addition, Enterprise Mobility Suite offers more secure data access to information stored both in the cloud and on location within corporate networks. What are the course objectives? After completing this course, you will be able to: Describe the challenges and solutions for desktop and device management in an enterprise environment Deploy Windows 10 Enterprise desktops Manage user profiles and user state virtualization Manage desktop and application settings by using Group Policy Manage Windows 10 sign-in and identity Manage data access for Windows-based devices Manage remote access solutions Manage Windows 10 devices by using enterprise mobility solutions Manage desktop and mobile clients by using Intune Manage updates and Endpoint Protection by using Intune Manage application and resource access by using Intune Configure and manage... [-]

Course: Infrastructure Provisioning with System Center Virtual Machine Manager Training

Simplilearn
Online Part time Open Enrollment USA USA Online

Learn how to install and configure Microsoft System Center 2012 R2 Virtual Machine Manager and manage enterprise datacenter resources with this five-day course. This course is part two in a series of two courses that provides the skills and knowledge necessary to implement an enterprise virtualization solution. [+]

Course description What’s the focus of this course? Learn how to install and configure Microsoft System Center 2012 R2 Virtual Machine Manager and manage enterprise datacenter resources with this five-day course. This course is part two in a series of two courses that provides the skills and knowledge necessary to implement an enterprise virtualization solution. This course will cover implementing, managing, maintaining and provisioning services and infrastructure in a Windows Server 2012 and Windows Server 2012 R2 environment using System Center 2012 R2 Virtual Machine Manager. This course primarily covers the advanced and enterprise-level technologies and solutions available through Microsoft virtualization, networking and storage. What are the course objectives? After completing this course, you will be able to: Perform initial configuration tasks in Virtual Machine Manager including:Review and prepare the Hyper-V environment for Virtual Machine Manager Add Hyper-V Hosts to Virtual Machine Manager Configuring Host Groups Use Virtual Machine Manager PowerShell Cmdlets Configure High Availability for Hyper-V and Virtual Machine Manager including:Reviewing Distributed Key Management Configuring SQL AlwaysOn Clustering Hyper-V Hosts Configuring High Availability for the management Virtual Machines Update the Virtual Machine Manager environment including:How to update Virtual Machine Manager Configuring and using Baselines to update the Virtual Machine Manager infrastructure Configure advanced networking in Virtual Machine Manager including:Creating Logical Networks Creating Uplink and Virtual Port Profiles Creating and deploying Logical Switches Creating VM Networks Configure Storage in Virtual Machine Manager including:Discovering, classifying, creating and allocating storage Configure the Virtual Machine Manager Library and Library objects including:Creating Library Servers... [-]

Course: Cloud & Datacenter Monitoring with System Center 2012 R2 Operations Manager Training

Simplilearn
Online Part time Open Enrollment USA USA Online

This course equips you with the skills that is required to deploy and configure System Center 2012 R2 Operations Manager. [+]

Top Online Courses in Data Science. Course description What’s the focus of this course? This course equips you with the skills that is required to deploy and configure System Center 2012 R2 Operations Manager. What are the course objectives? After completing this course, you will be able to: Plan for the deployment of System Center 2012 R2 Operations Manager including:Defining hardware and software requirements Describing security considerations Architect a highly available System Center and Microsoft SQL Server platform utilizing Microsoft SQL Server Always On Planning for migration and upgrade scenarios to System Center 2012 R2 Operations Manager. Customize the Operations Console with User Roles Perform different methods of Agent deployment with System Center 2012 R2 Operations Manager Implement key Management Pack concepts and elements including Management Packs Templates Configure Notifications, Reporting, and Service Level Tracking in System Center 2012 R2 Operations Manager Configure the following:Audit Collection Services Agentless Exception Monitoring Operations Manager SharePoint Web Part in System Center 2012 R2 Operations Manager Configure Application Performance Monitoring and Network Device monitoring in System Center 2012 R2 Operations Manager Configure dashboards and widgets in System Center 2012 R2 Operations Manager Describe how to use new cloud-based features including System Center Global Service Monitor and System Center Advisor Configure integration between System Center 2012 R2 Operations Manager and other System Center 2012 R2 components Troubleshoot an Operations Manager Management Group Perform disaster recovery in System Center 2012 R2 Operations Manager Who should take this course? The primary audience for this course is cloud... [-]

AWS Database Migration Service Course

Simplilearn
Online Part time Open Enrollment USA USA Online

AWS Database Migration Service is an innovative service that helps you easily migrate your databases to the AWS cloud. [+]

Key features 3 hours of self-paced learning 5 live demos 1 hands-on practice project Course description What is the focus of this course? AWS Database Migration Service is an innovative service that helps you easily migrate your databases to the AWS cloud. This course will demonstrate the key functionality of AWS Database Migration Service and will help you understand how to easily and securely move databases into the AWS cloud platform to take advantage of the cost savings and scalability of AWS. You will also learn how the AWS Database Migration Service supports both homogenous and heterogeneous migrations and will see a demonstration of a SQL Server to MySQL database migration. What are the course objectives? The main objectives of this course are: Get an overview of AWS DMS Understand how the AWS Schema Conversion tool works Understand the three types of AWS Database Migration Service Review the AWS Database Migration Service Who should take this course? AWS absolute beginners Developers SysOps professionals What project will you be working on? As part of the coursework, you will complete the following project based on the industry use case. Project #1: Migrate SQL Server database to MySQL using AWS DMS Domain: Development Install AWS Schema Conversion Tool Use AWS Schema Conversion Tool to verify migration efforts Fix migration issues Verify that the Database Assessment report is clean Use AWS Schema Conversion Tool to apply converted schema to MySQL Configure AWS DMS for the database migration Run the SQL Server to MySQL database... [-]

Course Developing Solutions for Google Cloud Platform (CPD200) Training

Simplilearn
Online Part time Open Enrollment USA USA Online

This Developing Solutions for Google Cloud Platform (CPD200) course will introduce you to solution development for Google Cloud Platform. Through instructor-led online classrooms, demonstrations, and hands-on labs, you’ll learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. [+]

Top Online Courses in Data Science. Key features 24 hours of instructor-led training 10 lab exercises with Google cloud platform Hands-on practice projects, with GCP Authorised training partner of Google Course description What’s the focus of this course? This Developing Solutions for Google Cloud Platform (CPD200) course will introduce you to solution development for Google Cloud Platform. Through instructor-led online classrooms, demonstrations, and hands-on labs, you’ll learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. What are the course objectives? When you have completed the CPD200 training course, you’ll be able to: Manage Google Cloud Source Repositories using the Google Cloud Platform Console Test a Cloud Endpoint API using the API Explorer Deploy an application to App Engine using the App Engine SDK Design, structure, and configure an App Engine application using multiple services Create Client IDs using the Google Cloud Platform Console Secure App Engine services and Cloud Endpoints APIs using authentication Configure and upload new versions of App Engine services Integrate Google Cloud Logging into App Engine applications Review quota usage in a Google Cloud Platform project Integrate different types of storage with App Engine applications Create and implement a data model for use with Google Cloud Datastore Implement a variety of queries in Google Cloud Datastore Update the index configuration in Google Cloud Datastore Implement transactions using Google Cloud Datastore Review Google Cloud Trace reports in the Google Cloud Platform Console Integrate the Memcache API into an App Engine... [-]