In recent years, with increase in scope of Big Data Technology, the demand of data scientists have increased gradually. All the big companies around the world are looking for skilled data scientists and ready to pay them big bucks. Well, it’s just the initial stage, soon it will spread more to reach its peak. It won’t be wrong to sat that it’s the right time to leverage various aspects of data science as the need for data scientists is increasing day by day.

If you are interested to learn data science and become a data science expert, check out the following courses to introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data.

5 Data Science Online Training Courses

1. Harvard

This course is taught by two Harvard Professors Hanspeter Pfister (Computer Science) and Joe Blizsten (Statistics). Here you’ll be using Python programming language for programming assignments and projects through the class. To opt this course you must have some programming experience and working knowledge of Cs50 and Stat 100. This course isn’t short and one has to spend 4 months of duration to finish it entirely. During the span of these 4 months you’ll be introduces to the five major key aspects of Data Science.

• data wrangling, cleaning, and sampling
• data management to be able to access big data quickly and reliably;
• exploratory data analysis to generate hypotheses and intuition;
• prediction based on statistical methods such as regression and classification;
• communication of results through visualization, stories, and summaries.

Quick Details

• Course Duration: 4 Months
• Level: Difficult
• Programming Language: Python
• Instructor: Hanspeter Pfister (Computer Science) and Joe Blizsten (Statistics)

2. Analytics Edge

To opt this course all you need is basic knowledge of Mathematics. Here everything from lectures to assignments are well structured to have a detailed knowledge of many different analytics methods, including linear regression, logistic regression, clustering, CART and data visualization. During the time span of 11 weeks you’ll learn how to implement all the methods in R. If you want to have a knowledge of an applied understanding of mathematical optimization, then opt this course.

Quick Details:

• Course Duration: 11 Weeks
• Level: Difficult
• Programming Language: R, Libre office/Excel
• Instructor: Dimitris Bertsimas and Allison Kelly O’Hair

3. Coursera – Machine Learning Course

Coursera offers Machine Learning course, a 11 week course where you’ll be introduced to the theoretical & practical knowledge of most effective machine learning techniques, data mining,  statistical pattern recognition and guide of how to make them work for yourself. For better understanding, it good to have a knowledge of Basic linear algebra and Calculus. This course will be taught in Octave programming language, videos of lectures are available there on how to use Octave.

Quick Details:

• Course Duration: 11 Weeks
• Level: Low
• Programming Language: Octave
• Instructor: Andrew Ng

4. Udacity- Data Analyst Nano Degree

Udacity offer Data Analyst Nano Degree where you can earn a certificate in 12 months(10 hours per week). Before taking this course you must have a knowledge of Descriptive statistics, Inferential statistics,  R, machine learning, data wrangling, data science basics, data visualization,  computer science basics. During this course you’ll learn how to,

• Wrangle, extract, transform, and load data from various databases, formats, and data sources
• Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets
• Classify unlabeled data or predict into the future with applied statistics and machine learning algorithms
• Communicate data analysis and findings through effective data visualizations

Quick Details:

• Course Duration: 1 Year (10 hours per week)
• Level: Very High
• Instructor: Chen Hang Lee and Miriam Swords Kalk

5. Coursera Intro to Data Science

This course introduces to a various aspects of Data Science. In order to have a better understand during the class, it would be great if you already have knowledge of Basics of Python, statistics, basic knowledge of databases. Syllabus includes Introduction, Data Manipulation at Scale, Analytics, Communicating Results, Special Topics. There will be four programming assignments: two in Python, one in SQL, and one in R.

Quick Details:

• Course Duration: 3 months
• Level: Intermediate
• Programming Language: Python and R
• Instructor: Bill howe

So these are the few courses that one can opt to enhance their data science skills or just begun to get the basic idea of data science. The demand of data scientist across the world is huge and this field is on the way towards growth only and companies are desperately looking for qualified & skilled data scientists. Grab any course from the above mentioned options to get started & to have a good knowledge of data science. These courses aren’t free and one has to pay a particular amount as a fee and each course has some Prerequisites that a person should have in order to have a better understanding of the course.

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