En route to become Big Data Intelpreneur
| Big Data market is expected to reach USD 50 billion by 2017. Fortune 500 companies already initiated to extract intelligence from Big Data for their business [Ref]. Google, Facebook, Twitter, Amazon and LinkedIn are the success stories with the extensive use of Big data analytics. Nearly 7 billion smart phones (3G and 4G) will be used worldwide in 2018, which will only accelerate the digital footprint size, which currently doubles every 15 months. To visualize this rapid growth rate, let’s consider this. From dawn of human civilization till A.D. 2003, only 5 Exabytes of data was produced by the entire world. Now, Google alone collects 20 exabytes of data every day. |
| On the other hand, Neurologists agree that one may become world class expert, if she practices a game, art or skill for 10000 hours. This requires 8 years of rigorous practice (50 hours weekly) in their preferred profession. This article may help your kid jump start their travel to be the data expert from age 12. |
Step I: Know your kid’s strength
Let your kid discover their strengths using Gallup Strengths Explorer For Ages 10 to 14. It is highly recommended to buy the new book and get the access code to take the test. Alternatively, they may use a free version for adults.
Your kid may be encouraged more to aspire to be the big data mining professional, if she has one or more of the following strengths in her Top 5 list: Dig Information, Analyze, Learn, Intellect, Ideate and/or Deliberate – More the merrier.
Step II: Travel through (Big) Data for 8-14 years
Personalized online home education is gaining popularity because of varied reasons such as accelerated learning, willingness to learn employable skills, independent problem solving skills, specialized career, medical issues, requiring extra attention and time to understand and the need to travel frequently. Personalized self learning style is increasingly adopted, as companies prefer to hire 50% of their workforce as freelancers [ref] in 2020. Already 3 million students in USA have home based education as of now.
Your kid needs to thoroughly understand the basic mathematics, while learning the computer science aspects of big data. The recommended learning path is stated below.
- Life of Fred Algebra Series
- AP- Statistics [ Details]
The course introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. There are four themes in the AP Statistics course: exploring data, sampling and experimentation, anticipating patterns, and statistical inference. - AP- Computer Science Principles [Intro Video][Details][Lessons]
AP Computer Science Principles introduces students to the fundamental concepts of computer science and challenges them to explore how computing and technology can impact the world. With a unique focus on creative problem solving and real-world applications, AP Computer Science Principles prepares students for college and career.- Big Idea 1: Creativity
- Big Idea 2: Abstraction
- Big Idea 3: Data
- Big Idea 4: Algorithm
- Big Idea 5: Programming
- Big Idea 6: Internet
- Big Idea 7: Global Impact
- A first course in Big Data Intelligence [ book]
- Further reading: Mining of massive Datasets [book]
If you are interested to get the co-teaching/ mentoring support to learn AP-Computer Science Principles and get interesting ideas for performance tasks, please visit my new course page for a CS Kid, which is under construction, after few weeks.
For any queries, please contact me [Prof. Ashok, +91-9943900101, bigdata.ashok@gmail.com ].
Disclaimer: The College Board owns the registered trademark of AP® and doesn’t endorse the content of my online course and book materials.My online course and book materials may only be used as supplementary for additional learning, exam preparation and performance tasks. It can not be substituted for full fledged class room teaching. But, it will definitely give a different perspective for enduring understanding.
You may also consider reading my book titled the first course in Big data Intelligence. Then one may consider doing a graduate level program in BDI analytics in one of the leading Universities.
| University | Program |
| Stanford University | M.S-CS (Analytics), graduate certificate in mining massive datasets |
| Northwestern University | Master of Science In Analytics |
| DePaul University | Master of Science in Predictive Analytics |
| North Carolina State University | Master of Science In Analytics |
| University of Ottawa, Canada | M.Sc in Analytics |
| University of Connecticut | MS in Business Analytics and Project Management |
Recommended by IBM Director Dr. Spohrer [Ref]
Big Data Training in Coimbatore 
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