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.
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. [+]
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. [+]
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. [+]
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 down-to-earth, shy but confident take on machine learning techniques that you can put to work today [+]
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. [+]
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 zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel. [+]
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. [+]
Gather, analyze, and tell stories through data with SQL, Excel, and visualization. [+]
The Big Data Hadoop and Spark Developer course has been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. [+]
MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become a MongoDB experienced professional.
[+]The data science with SAS certification training is designed to impart an in-depth knowledge of SAS programming language, SAS tools, and various advanced analytics techniques. The training provides a solid base for implementing these techniques. The course is packed with real-life projects and case studies to give a hands-on and practical experience to the participants. [+]
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. [+]
Learn how to fully utilise the features of the Perl programming language in web application development with this course from CIW. [+]
