Online Course in Data Science

Best Online Courses in Data Science 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 (Non-Technical) - an online course

Southampton Data Science Academy
Online Part time 6 weeks March 2018 United Kingdom Cambridge

Developed to provide you with the theoretical knowledge, alongside the practical and technical skills, needed to take part in the data revolution, the six-week course helps you to contribute to and benefit from the expanding data-driven economy. It takes a hands-on approach to the learning of data skills through a number of interactive, online exercises, designed to allow you to experience real examples of the techniques and concepts covered in the taught material. [+]

About this course

Developed to provide you with the theoretical knowledge, alongside the practical and technical skills, needed to take part in the data revolution, the six-week course helps you to contribute to and benefit from the expanding data-driven economy. It takes a hands-on approach to the learning of data skills through a number of interactive, online exercises, designed to allow you to experience real examples of the techniques and concepts covered in the taught material.

The course is delivered online, and each week is taught using a mixture of self-study and tutor-led material, activities and practical exercises.

If you are interested in the technical approaches to this topic, we currently have a parallel course in Fundamentals of Data Science (Technical)... [-]


Data Analysis Circuit Course

General Assembly
Online Part time 10 weeks January 2019 USA USA Online

Gather, analyze, and tell stories through data with SQL, Excel, and visualization. [+]

Learn to gather, analyze, and tell stories through data with SQL, Excel, and visualization.

Model Behavior

Whether you’re using data to make business, technology, or design decisions – the process is the same.

Problem Formulation & Experiment Design

Properly define a problem and design tests that get valid results.

Extraction & Scrubbing

Use SQL to extract data from databases, then clean and prepare it for analysis.

Data Analysis

Use basic statistics and Excel to manipulate data in order to find patterns and answer questions.

Narrative & Visualization

Communicate findings effectively using data visualization, dashboards, and presentations.... [-]


Fundamentals of Data Science (Technical) - an online course

Southampton Data Science Academy
Online Part time 60 hours March 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. [+]

Developed to provide the foundations of a career in Data Science, the six-week course equips beginners with technical skills and the theoretical knowledge needed to apply the powerful insights of data science to their work.

Overview

The course, exclusively designed by the world-leading Data Science team at the University of Southampton, provides a hands-on approach to learning data skills. Through a number of interactive, online exercises, you will be able to try out many of the concepts and techniques studied in the taught material.

We use Python to implement technical aspects of the course and we strongly advise all applicants have some experience with Python or similar languages.... [-]


Python For Data Science And Machine Learning - Complete

Udemy
Online Part time 17 hours September 2018 USA USA Online Turkey Turkey Online Ireland Ireland Online + 4 more

Learn the main methods of Machine Learning, Data Science and Python in this COMPLETE course! [+]

Learn the main methods of Machine Learning, Data Science and Python in this COMPLETE course!

What will I learn? Using Python for Data Science and Machine Learning Professional Data Visualization with Matplotlib Learn about intuitive data visualization with Plotly Learning to use Seaborn for statistical analysis of data Use of Pandas for data analysis Using Numpy for vector and dot matrix operations Logistic Regression K-Nearest-Neighbors (KNNs) K-means-clustering Support-Vector-Machines (SVM) Neural Networks (Neural Networks) Using Spark for Big-Data Natural Language Processing and Spam Filtering Systems Recommendation systems (used in NetFlix, Spotify, etc) ... Projects with real data Requirements Programming basics Basic English (due to the main datasets used and methods of Python being in English) Description ... [-]

Data Science From A To Z - The Complete Course

Udemy
Online Part time 16 hours September 2018 USA USA Online Turkey Turkey Online Ireland Ireland Online + 4 more

Data Scientist? We will see Statistics, Machine Learning, Python, R, ETL, SQL and NoSQL - Everything here! [+]

Data Scientist? We will see Statistics, Machine Learning, Python, R, ETL, SQL and NoSQL - Everything here!

What will I learn? Use Applied Statistics Define Machine Learning, Big Data and Data Science Data Analysis with R Data Analysis with Python Graphics with R and Python Requirements Computer basics, the rest we teach here! A little SQL helps a lot! Description

Data Science from A to Z

The essential thing you need to know about this course is: It is geared towards beginners. This is my audience and I love working with him..

So if: You want to get into the Data Science area and do not know where to start, if you did some great course but found it too advanced and understood nothing, if you who know all the important concepts surrounding that area, if you are UNIVERSITY looking for knowledge about the areas, if you want to have an overview is an EXCELLENT BASIS to know how to walk alone, your place is here. We will learn in a didactic way even for those who have never seen the subject.... [-]


The Data Sciences From A To Z

Udemy
Online Part time 20 hours September 2018 USA USA Online Turkey Turkey Online Ireland Ireland Online + 4 more

Data Science, Business Analytics, Data Analysis, Data Mining, Tableau, Statistics, Modeling, Regression, SQL, SSIS. [+]

Data Science, Business Analytics, Data Analysis, Data Mining, Tableau, Statistics, Modeling, Regression, SQL, SSIS.

What will I learn? Perform all the steps of a complex Data Science project correctly Create Visualizations in Tableau Doing Data Mining in Tableau Understand how to apply the chi-square test Apply the Ordinary Least Squares method to make Linear Regressions Evaluate all types of models thanks to the R-Squared Evaluate all types of models thanks to Adjusted R-Squared Create a Simple Linear Regression Model Create a Multiple Linear Regression Model Create Dummy Variables Interpreting the coefficients of Multiple Linear Regression Read Outputs of Linear Regression Models Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models Create a Logistic Regression Model Integrate the intuition of Logistic Regression Analyze the False Positives & False Negatives and understand the difference Read a Confusion Matrix Create a Robust Model of Geo-Demographic Segmentation Transform independent variables for modeling Derive independent variables for modeling Check the presence of multicollinearity using VIF (Variance Inflation Factor) Have an intuition of multicollinearity Use the Cumulative Accuracy Profile (CAP) to evaluate models Build the CAP curve in Excel Use the Training Set and the Test Set to build robust models Draw insights from your CAP curve Understanding the Odds Ratio Getting business insights from the coefficients of a Logistics Regression Understand what pattern deterioration looks like Apply three levels of model maintenance to prevent model deterioration Install and use SQL Server Install and use Microsoft Visual Studio Shell Clean up data... [-]

Python Bootcamp: From Beginner To Professional, Incl. Data Science

Udemy
Online Part time 28 hours September 2018 USA USA Online Turkey Turkey Online Ireland Ireland Online + 4 more

Learn all the basics of Python, develop webapps, crawlers, desktop apps with Qt, Numpy, Pandas, image recognition with OpenCV, ... [+]

Learn all the basics of Python, develop webapps, crawlers, desktop apps with Qt, Numpy, Pandas, image recognition with OpenCV, ...

What will I learn? From 0 to 100: From beginner to Python allrounder Everything explained by simple examples Become a sought after developer Understand the "why" behind it Write real desktop applications with Qt Evaluate data and create DataScience evaluations Extract data from web pages with a crawler Learn and understand object orientation Challenge yourself with quizzes and exercises conditions You should have access to a Mac / Windows / Linux computer No programming skills are required You should have at least 2GB of free hard disk space (for tools like Anaconda, Qt, etc.) - we'll install everything for you as part of this course Description ... [-]

Advanced MS Excel 2010

Edureka
Online Part time Open Enrollment India India Online

This is a self-paced online course designed to develop your Advance Excel skills and practically implement your learning in MS Excel to make you an MS Excel Expert. [+]

This is a self-paced online course designed to develop your Advance Excel skills and practically implement your learning in MS Excel to make you an MS Excel Expert.

Edureka's Advanced MS Excel Course 2010 course covers all the Excel functions to perform financial, mathematical or statistical calculations such as DSUM, DCOUNT, Pivot Table, Pivot Chart, Formulas, Functions, and Macros. You will also get to implement an Excel project towards the end of the course.

Course Objectives

After the completion of Advanced MS Excel 2010 course at Edureka, you will be able to:

Understand Excel Abilities and its Functions. Explain Data Security, Formatting and Analyzing concepts. Understand the specialized functions like DSUM, DMAX etc. Explain the advanced options of Pivot Table. Summarize data by using Sparklines. Record and play a macro. Edit a macro using VBA Editor. Explain how to manage scenarios. Describe the restrictions and manipulating techniques. Prerequisites ... [-]

Functional Testing using Ranorex

Edureka
Online Part time Open Enrollment India India Online

Master concepts such as Ranorex XPath, Ranorex Spy, Suites, and Data-driven testing to become a Ranorex Automation tool expert. [+]

Master concepts such as Ranorex XPath, Ranorex Spy, Suites, and Data-driven testing to become a Ranorex Automation tool expert.

Functional Testing using Ranorex course is designed to provide an extra edge to Manual Mobile testers. After the completion of this course, participants will be able to automate complex scenarios while testing Android devices with in-depth knowledge of all the concepts.

Course Objectives

After the completion of this course at Edureka, you will be able to:

Set up testing environment with devices

Record and execute simple test cases

Create and manage test suites

Write code for complex test scenarios

Automate Data Driven testing... [-]


Statistics Essentials for Analytics

Edureka
Online Part time Open Enrollment India India Online

A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights. [+]

A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights.

The self-paced Statistics Essentials for Analytics Course is designed for the learners to understand and implement various statistical techniques. These techniques are explained using dedicated examples. The use case is taken up at the end of each module and insights are gathered, thus at the end of the course, we have a Project which is consistently worked upon throughout the course.

Course Objectives

After the completion of this course at Edureka, you should be able to:

Learn various statistical techniques like Sampling Methods, Conditional Probability, Bayesian Theorem, etc.... [-]


Tableau Training & Certification

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

edureka's online training on Tableau will cover various concepts of data visualization in depth, Tableau Dashboard including conditional formatting, scripting, linking charts, dashboard integration, Tableau integration with R and more. This Tableau training includes a hands-on project that will help you master your BI tools knowledge by working on Tableau Desktop and Tableau Public. [+]

About Tableau Training

edureka's online training on Tableau will cover various concepts of data visualization in depth, Tableau Dashboard including conditional formatting, scripting, linking charts, dashboard integration, Tableau integration with R and more. This Tableau training includes a hands-on project that will help you master your BI tools knowledge by working on Tableau Desktop and Tableau Public. You will be completely prepared to clear Tableau Certification post the completion of this Tableau training.

Why Learn Tableau?

After the successful completion of Data Visualization with Tableau Training by edureka, you will be able to:

Understand the need for data visualization Make advance insightful visuals Perform scripting Create comprehensive tableau dashboards Connect with multiple sources Integrate Tableau with R Who should go for this training? ... [-]

AWS Development Certification Training

Edureka
Online Part time 6 weeks Open Enrollment India India Online

Edureka's AWS Training will introduce the participants to explore and master AWS concepts and services offered by AWS. [+]

About The Course

Edureka's AWS Training will introduce the participants to explore and master AWS concepts and services offered by AWS.

Participants will be offered guidance and will share a lot of demos on each topic with real-time examples of high availability, load balancing, data redundancy and day to day operations in managing cloud services.

Participants will also get to implement one project towards the end of the course.

Course Highlights 12 Instructor-led Interactive online classes of 3 hours each. Assignments at end of each class to reinforce the concepts Project work at end of the course to give a complete hands-on experience to participants in the implementation of various AWS services. Lifetime access to Class recordings and presentations on edureka! Learning Management System (LMS). Lifetime access to installation guides, sample codes and project documents edureka! Learning Management System (LMS). 24x7 online support team available to help participants with any technical queries they may have during the course. A skill certificate in AWS Development Training from edureka! Course Objectives ... [-]

Data Science Certification Training

Edureka
Online Full time Part time 15 days Open Enrollment India India Online + 1 more

This Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. [+]

About The Course

This Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

Course Objectives

After the completion of the Data Science course, you should be able to:

Gain insight into the 'Roles' played by a Data Scientist Analyse Big Data using R, Hadoop and Machine Learning Understand the Data Analysis Life Cycle Work with different data formats like XML, CSV and SAS, SPSS, etc. Learn tools and techniques for data transformation Understand Data Mining techniques and their implementation Analyse data using machine learning algorithms in R Work with Hadoop Mappers and Reducers to analyze data Implement various Machine Learning Algorithms in Apache Mahout Gain insight into data visualization and optimization techniques Explore the parallel processing feature in R Who should go for this course? ... [-]

Splunk Developer & Admin Certification Training

Edureka
Online Part time 3 weeks Open Enrollment India India Online

The Splunk training course is specially designed to provide the requisite knowledge and skills to become a Splunk expert. The course encompasses fundamental concepts of Licensing, Indexing, Roles & Authentication, along with advanced topics like Clustering, Reports & Dashboards. [+]

About the Course

The Splunk training course is specially designed to provide the requisite knowledge and skills to become a Splunk expert. The course encompasses fundamental concepts of Licensing, Indexing, Roles & Authentication, along with advanced topics like Clustering, Reports & Dashboards.

Course Objectives

After completion of the Splunk course at Edureka, you will be able to:

Understand Splunk Admin/Developer concepts Apply various Splunk techniques to visualize data in different kinds of graphs and dashboards Implement Splunk in the organization to analyze and monitor systems Configure alerts and reports for monitoring purposes Troubleshoot different application issues using SPL (Search Processing Language) Who should go for this Course? ... [-]

Data Analytics with R Certification Training

Edureka
Online Full time Part time 12 days Open Enrollment India India Online + 1 more

The Edureka Mastering Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It starts with the fundamental concepts of Data Manipulation, Exploratory Data Analysis etc before moving over to advance topics like [+]

About the Course

The Edureka Mastering Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It starts with the fundamental concepts of Data Manipulation, Exploratory Data Analysis etc before moving over to advance topics like the Ensemble of Decision trees, Collaborative filtering, etc.

Course Objectives

After the completion of the Edureka Mastering Data Analytics with R course, you should be able to:

Understand concepts around Business Intelligence and Business Analytics Explore Recommendation Systems with functions like Association Rule Mining, user-based collaborative filtering, and Item-based collaborative filtering among others Apply various supervised machine learning techniques Perform Analysis of Variance (ANOVA) Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc Use various packages in R to create fancy plots Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights Who should go for this Course? ... [-]