Data Science is a rapidly accelerating field that combines expertise in the management, analysis and visualization of large-scale and complex data. Data Scientist is called the sexiest job of 21st century. 1.5 million data-savvy managers and analysts will be needed in the next 5 years  , but there is no major or school you go to learn to be a data scientist  . With new Coursera and Udacity Data Science tracks things are about to change."is primarily for anyone who wants to build competence in data science with a learning toward statistics," said one of the instructors, Brian Caffo."What makes the specialization unique is that we cover the complete set of skills for data science from soup to nuts," added Roger Peng, "After taking this course series, you'll have everything you need to start answering questions with data."
Coursera's Data Science Specialization
Coursera's Data Science Specialization
The program instructors Brian Caffo,PhD, Jeff Leek,PhD, and Roger D. Peng,PhD of
The Johns Hopkins Bloomberg School of Public Health are not novices to MOOC teaching. Roger D. Peng taught Computing for Data Analysis, Brian Caffo - Mathematical Biostatistics BootCamp, and
Jeff's Data Analysis was on the list of Top 10 Coursera Courses with Highest Enrollment.
The program consists of 9 courses from introduction to data scientist's tools to extracting, cleaning and exploring data using R, to modeling and developing data products.
Some programming experience and prior knowledge of Algebra or Calculus will be helpful.
Each course costs $49 plus additional $49 for the final capstone project. All courses are also available for free but no certificate will be given.
First 3 courses start on April 7th, 2014. All 9 courses will be offered multiple times through August 4th, 2014.
Each course runs for 4 weeks . Final project will take additional 4 weeks.
Students enrolled into the program via Signature Track will receive Verified Certificate upon completion of each course and Specialization Certificate authorized by Johns Hopkins University through coursera after completing all courses and the final project.
In the end of the program students will develop a public data product that can be used to demonstrate acquired skills to potential employers.
Udacity's Data Science Track
is the first Data Science and Big Data curriculum built directly with industry pioneers. You can learn the latest techniques, tools, and concepts developed at the companies such as Cloudera, MongoDB or Facebook that made Big Data big. "Udacity’s mission is to educate people so they can live a better life. In an era of declining employment opportunities in many traditional areas, we are empowering our students to acquire the necessary skills to excel in the high-growth tech industry," said Udacity CEO Sebastian Thrun.
Industry professionals Dave Holtz, Data Scientists at Yub; Sarah Sproehnle, VP of Educational Services at Cloudera; Dean Eckles, statistician at Facebook; Shannon Bradshaw, Director of Education at MongoDB are teaching the courses.
The program consists of 6 courses (including prerequisites) from introduction to data science, extracting and cleaning, exploring, summarizing and visualizing data, to processing big data using MapReduce and Apache Hadoop. In addition you will learn how to program in Python and R.
Udacity's well-known Intro to Computer Science with Dave Evans and Intro to Statistics with Sebastian Thrun are prerequisites for following Data Science courses. Prerequisite courses and Introduction to MapReduce are already available. One can join any time. Remaining courses start in February.
While everybody can study udacity's free courseware, students who decide to enroll into the course will receive a personal coach who will provide code and project feedback, and the opportunity to earn a Verified certificate endorsed by the Open Education Alliance. The price of each course varies from $0 to $140/month.
Outcome of each course is the working real-life product you’ll be proud of and one that employers will value. You can also share your resume on Udacity and get a chance to get a job with Udacity's partners, prospective employers, and Udacity itself.
To learn more about these and other Data Science courses please visit http://www.topfreeclasses.com/collection/1080796395/Data-Science