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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Tableau

TACT-Technology Academy for Competency Training
Online 4 weeks May 2019 USA California

Tableau is the most popular data visualization, reporting, and business intelligence tool in the world. It is the tool that is chosen by multiple enterprises when it comes to brilliant visualization capabilities. The Tableau Basic to Advanced Training by Collabera TACT ensures that the participants are well acquainted with all the features of Tableau and can take up any job that requires expertise in Tableau application. Tableau training focuses on various skills like visualization, analytics, and business intelligence. [+]

Top Online Courses in Data Science. Overview

Tableau is the most popular data visualization, reporting, and business intelligence tool in the world. It is the tool that is chosen by multiple enterprises when it comes to brilliant visualization capabilities. The Tableau Basic to Advanced Training by Collabera TACT ensures that the participants are well acquainted with all the features of Tableau and can take up any job that requires expertise in Tableau application. Tableau training focuses on various skills like visualization, analytics, and business intelligence.

Why take Tableau Training?

Data has become the most important asset of organizations worldwide. Tableau is the most-popular application for analyzing this huge amount of data and extract meaningful information from it.... [-]


Data Science

TACT-Technology Academy for Competency Training
Online 5 weeks June 2019 USA California

Data Science course enables you to understand the practical foundations, helps you to effectively execute and take up Big Data and other analytics projects. The program covers topics from Big Data to Data Analytics Life Cycle. Understanding these topics helps in addressing business challenges that leverage Big Data. Another aspect of this course is that it covers basic as well as advanced analytic methods and also introduces the participant to Big Data Technology and tools like MapR and Hadoop. [+]

Overview

Data Science course enables you to understand the practical foundations, helps you to effectively execute and take up Big Data and other analytics projects. The program covers topics from Big Data to Data Analytics Life Cycle. Understanding these topics helps in addressing business challenges that leverage Big Data. Another aspect of this course is that it covers basic as well as advanced analytic methods and also introduces the participant to Big Data Technology and tools like MapR and Hadoop. Our state-of-the-art-infrastructure allows students to understand the applications of these methods and tools by getting hands-on experience working alongside real-time data scientists. This program has an open approach including a final lab session which explains various Big Data Analytics challenges by applying the concepts covered during the program with respect to Data Analytics Lifecycle.... [-]


Data Science Masters Course

ACADGILD
Online Full time Part time 24 weeks March 2019 USA USA Online + 1 more

The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data. [+]

Intensive 6-Month Program Collaborative Assignments with Mentors Master Statistics, Machine Learning, Deep Learning, and AI Learn Tools like Python, TensorFlow, Spark, R, and Tableau

DURATION

24 Weeks

EFFORT

10-15 Hrs/Week

CAREERS

Business Analyst, Data Analyst, Data Architect, Data Administrator, Data Manager, Data Scientist

The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data.

Why You Should Take This Course Acadgild Experience What You Will Learn in This Course Programming in Python and R Python & R basics Conditional and loops String and list objects Functions & OOPs concepts Exception handling Database programming*Sessions on R are not live, but self-paced Data Wrangling Reading CSV, JSON, XML and HTML files using Python NumPy & pandas Scipy libraries Loading, cleaning, transforming, merging, and reshaping data Statistics and Probability Descriptive statistics Inferential statistics Hypothesis testing Statistical concepts in Python Machine Learning Models with Python Building models using algorithms Linear and logistics regression Decision trees Support vector machines (SVMs) Random forests XGBoost K nearest neighbor & hierarchical clustering Principal component analysis Text analytics and time series forecasting Deep Learning using TensorFlow Introduction to deep learning Understanding neural network through TensorFlow Convolution & recurrent neural networks Data Visualization using Matplotlib and Tableau Interactive visualizations with Matplotlib, Data visualizations using Tableau Tableau dashboard and storyboard Tableau and R integrationSessions on Tableau are not live, but self-paced Handling Big Data with Spark Introduction to Big Data & Spark... [-]

Advance MATLAB Data Types and Data Structures

Simpliv
Online Full time Part time 3 hours Open Enrollment USA Fremont + 1 more

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. While teaching to students and observing different MATLAB related courses on Simpliv for more than six months now. I realized that there is a need for a course which should cover the key data types such as Cells, tables, timetables, structures and Map containers which should provide the students with the essential skills for taking full advantage of MATLAB strengths in data analysis and programming. In this course, we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience. [+]

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. While teaching to students and observing different MATLAB related courses on Simpliv for more than six months now. I realized that there is a need for a course which should cover the key data types such as Cells, tables, timetables, structures and Map containers which should provide the students with the essential skills for taking full advantage of MATLAB strengths in data analysis and programming.

In this course, we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience.... [-]


From 0 to 1: Hive for Processing Big Data

Simpliv
Online Full time Part time 15 hours Open Enrollment USA Fremont + 1 more

Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing. [+]

Prerequisites: Hive requires knowledge of SQL. The course includes an SQL primer at the end. Please do that first if you don't know SQL. You'll need to know Java if you want to follow the sections on custom functions.

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data.

Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing.

Let's parse that

A new friend with an old face: Hive helps you leverage the power of Distributed computing and Hadoop for Analytical processing. Its interface is like an old friend: the very SQL like HiveQL. This course will fill in all the gaps between SQL and what you need to use Hive.... [-]


Learn By Example: Statistics and Data Science in R

Simpliv
Online Full time Part time 9 hours Open Enrollment USA Fremont + 1 more

This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples. [+]

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples.

Let’s parse that.

Gentle, yet thorough: This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analyzing and preparing raw data to visualize your findings.

Data Science, Statistics, and R: This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R.... [-]


From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase

Simpliv
Online Full time Part time 20 hours Open Enrollment USA Fremont + 1 more

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today [+]

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Let’s parse that.

The course is down-to-earth: it makes everything as simple as possible - but not simpler The course is shy but confident: It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff. You can put ML to work today: If Machine Learning is a car, this car will have you driving today. It won't tell you what the carburetor is. The course is very visual: most of the techniques are explained with the help of animations to help you understand better. This course is practical as well: There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python. The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall.... [-]

From 0 to 1: Spark for Data Science with Python

Simpliv
Online Full time Part time 8 hours Open Enrollment USA Fremont + 1 more

If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to produce your code. [+]

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

Get your data to fly using Spark for analytics, machine learning, and data science

Let’s parse that.

What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.

Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Data frames to manipulate data with ease.... [-]


GCP: Complete Google Data Engineer and Cloud Architect Guide

Simpliv
Online Full time Part time 29 hours Open Enrollment USA Fremont + 1 more

his course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos. The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google. [+]

This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.

The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.

What's Included: Compute and Storage - AppEngine, Container Engineer (aka Kubernetes) and Compute Engine Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained. DevOps stuff - StackDriver logging, monitoring, cloud deployment manager Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase) Who is the target audience? Yep! Anyone looking to use the Google Cloud Platform in their organizations Yep! Anyone who is interesting in architecting computers, networking, loading balancing and other solutions using the GCP Yep!Anyone who wants to deploy serverless analytics and big data solutions on the Google Cloud Yep! Anyone looking to build TensorFlow models and deploy them in the cloud BASIC KNOWLEDGE Basic understanding of technology - superficial exposure to Hadoop is enough. WHAT YOU... [-]

Learn By Example: Hadoop, MapReduce for Big Data problems

Simpliv
Online Full time Part time 7 - 8 hours Open Enrollment USA Fremont + 1 more

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel. [+]

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel.

Let’s parse that.

Zoom-in, Zoom-Out: This course is both broad and deep. It covers the individual components of Hadoop in great detail and also gives you a higher level picture of how they interact with each other.

Hands-on workout involving Hadoop, MapReduce: This course will get you hands-on with Hadoop very early on. You'll learn how to set up your own cluster using both VMs and the Cloud. All the major features of MapReduce are covered - including advanced topics like Total Sort and Secondary Sort.... [-]


Learn by Example: HBase - The Hadoop Database

Simpliv
Online Full time Part time 5 hours Open Enrollment USA Fremont + 1 more

Do you feel like your relational database is not giving you the flexibility you need anymore? Column-oriented storage, no fixed schema, and low latency make HBase a great choice for the dynamically changing needs of your applications. [+]

Top Online Courses in Data Science. Prerequisites: Working with HBase requires knowledge of Java Taught by a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing jobs. Relational Databases are so stuffy and old! Welcome to HBase - a database solution for a new age. HBase: Do you feel like your relational database is not giving you the flexibility you need anymore? Column-oriented storage, no fixed schema, and low latency make HBase a great choice for the dynamically changing needs of your applications. What's Covered: 25 solved examples covering all aspects of working with data in HBase. CRUD operations in the shell and with the Java API, Filters, Counters, MapReduce Implement your own notification service for a social network using HBase HBase and it’s role in the Hadoop ecosystem, HBase architecture and what makes HBase different from RDBMS and other Hadoop technologies like Hive. Using discussion forums ... [-]

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.... [-]


Course: CIW Perl Specialist Training with Exam (1D0-437)

E-Careers
Online Part time Open Enrollment United Kingdom UK Online Slough

Take your knowledge of Perl programming language up to a level of mastery with this CIW Perl Specialist course and prove your abilities working with the web app development tool with the official certification. [+]

What are the objectives of this course?

The course will run students through the functions of Perl which is one of the original program languages and fully prepare them for their 1D0-437 exam. The examination has a time limit of 75 minutes, in which candidates have 50 questions to answer. In order to pass, you must achieve a minimum pass mark of 75%.

Introduction to Perl The uses of the Perl interpreter and understand how to operate the interpreter. Understand the concepts of statements, loops, and Boolean expressions. Learn how to manipulate strings using regular expressions and store program data using arrays. Manipulate data with keys and use hashes to organize the data. Use subroutines to organize code to make it more logical and easier to debug. Implement object-orientated programming techniques using Perl. Debugging Perl. Basics of database programming Who is it intended for? ... [-]

Course: CIW Perl Specialist Training (1D0-437)

E-Careers
Online Part time Open Enrollment United Kingdom UK Online Slough

Learn how to fully utilise the features of the Perl programming language in web application development with this course from CIW. [+]

What are the objectives of this course?

This course will help programmers of all levels get to grips with every function that the Perl programming language has to offer.

Perl language essentials including syntax, regular expressions, and data types. Server scripting, focusing on Perl language. Perl code development including access and manipulating input and output files. Implement websites including database connectivity and debugging techniques. Improve and maintain hypertext-based websites. Understand how to debug Perl Object-Oriented Perl Database connectivity and Perl Who is it intended for?

This course is suitable for anyone, from beginners looking to learn about Perl programming language to IT programmers who are looking to enhance their skill set by learning new web scripting techniques.... [-]


Course: Microsoft MCSE - Data Platform (70-464, 70-465) with Live Labs

E-Careers
Online Part time Open Enrollment United Kingdom UK Online Slough

Search for opportunities in the IT industry using the knowledge gained in this MCSE Data Platform course. Upon completion, you will be able to build and administer SQL Server and data solutions in an enterprise environment. [+]

What are the objectives of this course?

In this course, candidates will fully understand the concepts behind Microsoft SQL Server 2012 and how to build and query complex database solutions in a real-world environment. Students will also get 12 months access to our dedicated Live Labs where they will be able to recreate course scenarios and design new database solutions without building a costly lab of their own.

Microsoft 70-641: Querying SQL Server 2012 Microsoft 70-462: Administering SQL Server 2012 Databases Microsoft 70-643: Implementing a Data Warehouse with SQL Server 2012

After completing the three MCSA SQL Server 2012 modules, students will then shift focus to the elements that make the MCSE SQL 2012 Data Platform with two additional modules.... [-]