Top 4 Best Online Data Science Programs 2019
Data analysis and data sciences have become one of the essential; elements of our day to day life. With the emphasis on Big Data Analysis, there has been a huge demand for the data scientist in varied fields of interests. The Data analysis companies world over have been looking for the talent in data sciences and allied aspects of Big Data analysis. The data analysis has been an area that is still developing, but soon on the road to becoming a force in its own right. Let us check out a few data science programs that would place you in the race and possibly ahead of the race for being part of the next-gen technology.
Best Online Data Science Programs
You may make a choice between a course of specialization, like Coursera, Udacity and other options – or even choose specialized topics of your choice like artificial intelligence, data mining, web scraping and a host of other courses and topics of your choice.
You can also opt for some additional learning by means of online books available. You would get something for your needs.
Having gone through that introduction, let us now move ahead to check out a few best online data programs that you can choose.
Data Science Specialization
Coursera offers you a specialized program on data science specialization. It will help you gain an efficient knowledge of data science. It offers you a perfect understanding of R Programming language.
The requirements include a fair knowledge of programming and a perfect flare for algebra. You need not be an expert in algebra, but a fair understanding will do. The course covers
- The Data Scientist’s Toolbox
- R Programming
- Getting and Cleaning Data
- Exploratory Data Analysis
- Reproducible Research
- Statistical Inference
- Regression Models
- Practical Machine Learning
- Developing Data Products
- Data Science Capstone
More details at
Data Science Specialization.
Johns Hopkinson Data Science Course
The service covers a host of services that includes R programming, exploratory data analysis and cleaning data modules. The Project Swirl makes learning R a refreshing experience.
You will need to have a basic knowledge of mathematics and a good knowledge of algebra. Some programming knowledge would be desirable so that you can grasp the concepts quite easily. However, the course depends too much on statistics and can be a little too traditional in its way of teaching.
Data Scientist with Python
The course comes from Datacamp, a capable knowledge provider in the field of data science training. The course comes under the career tracks stream of the several plans they have.
What makes this program one of the excellent options is the fact that you can take up the course even you are new to Python. The course begins with the basics of Python and moves on to impart advanced data manipulation techniques. The course comes with over 19 sections that spread over 67 hours in total.
Check it out at
Data Scientist with Python.
Data Science Career Track
Springboard is one of the best platforms in its genre. It emphasizes the career training in a 1 to 1 scenario. It offers courses in Career Tracks and Workshops.
The data science career track program is an all in one program with a single focus. It aims at getting you employed as a data scientist and succeeds in most part in its ability. The career track program ensures that you will get a job within around 6 months. In fact, if you fail to get one, your tuition fees will be refunded, or at least that is what Springboard claims. It offers you personalized coaching and interview preparations. You are expected to have a prior brief knowledge of statistics and a little experience in programming.
Get more info at
Data Science Career track From Springboard.
Microsoft Professional Program Certificate in Data Science
In fact, the Microsoft course contains more material and more diverse courses than any other options like Coursera or Springboard. You can choose between the programming languages R or Python depending upon your preferences. And continue with a course in the particular language.
There are several options you can dabble in. In fact, the courses focus on all the fundamentals before initialising into data science or big data analysis. Some of the fundamentals covered include data exploration in Excel, to SQL databases, to Azure Machine Learning with Spark.
The course is divided into four units each covering a specific part of the certificate course. You can get more information by getting in touch with
Microsoft Professional Program Certificate in Data Science.
In Conclusion
Well, that would bring us to the end of our compilation of a few great online data science courses that would help you hook on to a few good paying options in huge companies. However, the compilation is far from being comprehensive. We would think we have only touched the tip of what could be a huge knowledge base.
You can even try a host of services, courses, classes, websites and YouTube channels for the best in class options in data sciences. In fact, we have been witnessing better computational methods. Try out the options and do let us know of your opinions and experiences with the world-class level of professionalism that these courses induce into you.
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