Top 5 Data Science Courses at Udemy for Beginners

“Data Science is the sexiest job of the 21st century” is something that you heard many people said nowadays. A data scientist is a job title for an employee who excels at analyzing data, particularly large amounts of data (also called Big Data), to help a business gain a competitive edge. Normally, data scientist possesses a combination of analytic, machine learning, data mining and statistical skills as well as experience with algorithms and coding. Below are some recommendation of courses which you can take to kick start your career as data scientist. The suggested online courses are recommended for beginners and have received good ratings and also great feedbacks from many of their participants. It is offered by Udemy, the world’s online learning marketplace, where 6 million+ students are taking courses in everything from programming to yoga to photography–and much more. The courses is taught by an expert instructor, and is available on-demand, so students can learn at their own pace, on their own time, and on any device.

1. Want to be a Data Scientist?

Learn what Data Science is all about, if you are a good fit for that domain and how to become one.

Over 18 lectures and 3 hours of content.
Appreciate what Data Science is all about.
Understand how a typical data science project gets done.
Decide if this job is a right fit for you.
Learn the skills required to be a data scientist and how to acquire them.

2. Applied Data Science with Python

Learn how to execute an end-to-end data science project and deliver business results.

Over 43 lectures and 8.5 hours of content!
Appreciate what Data Science really is
Understand the Data Science Life Cycle
Learn to use Python for executing Data Science Projects
Master the application of Analytics and Machine Learning techniques

3. Applied Data Science with R

Learn how to execute an end-to-end data science project and deliver business result.

Over 54 lectures and 11 hours of content!
Appreciate what Data Science really is
Understand the Data Science Life Cycle
Learn to use R for executing Data Science Projects
Master the application of Analytics and Machine Learning techniques
Gain insight into how Data Science works through end-to-end use cases.

4. Learn Hadoop, MapReduce and BigData from Scratch

A Complete Guide to Learn and Master the Popular Big Data Technology.

Over 74 lectures and 15.5 hours of content!
Become literate in Big Data terminology and Hadoop.
Understand the Distributed File Systems architecture and any implementation such as Hadoop Distributed File System or Google File System
Use the HDFS shell
Use the Cloudera, Hortonworks and Apache Bigtop virtual machines for Hadoop code development and testing
Configure, execute and monitor a Hadoop Job

5. Become a Certified Hadoop Developer | Training | Tutorial

Learn Hadoop from an expert, get certified & bag one of the highest paying IT jobs in current times.

Over 49 lectures and 5 hours of content!
Code of all the programs discussed.
Builds strong MapReduce and Hadoop fundamentals.
200+ highly relevant questions to prepare for certification exams like Cloudera and Hortonworks.
Massive Q&A repository.

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