1. Data Analytics Certificate Program
AIT Analytics academy
Data Analytics Certificate Program

2. Introducing the Data Analytics Certificate Program
The job outlook is incredible -- now and for the foreseeable future:
Why Data Analytics? In a word—jobs!
McKinsey: The U.S. alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers with the skills to understand and make decisions based on the analysis of big data.
According to IBM, the number of jobs for all US data professionals will increase by 364,000 to 2,720,000 by 2020.
There are jobs in marketing, finance, insurance, medicine, engineering, energy, transportation, agriculture, manufacturing…every role in every sector of the economy!

3. How the Data Analytics Certificate Program Works
The Data Analytics Certificate Program is:
100% project-based, learn by doing
A series of five online, collaboration-driven courses that provide real-world, skills-based training
Taught by live, virtual mentors who coach students, rather than lecturing, and evaluate based on the work produced
You will leave the program with end-to-end experience working on nine projects resulting in an impressive portfolio of professional work.

4. Unique Program Approach
Story-centered curricula: Proven highly effective in skill-building programs, developed with industry pioneers.
Student work is framed in a realistic story of professional practice and the work situation to which they aspire.
Students receive feedback on projects from mentors.
Students reflect on lessons learned from their experiences, then move to the next “scene” in the story, which links to and builds on what they have done.

5. Unique Program Approach
Faculty mentors enhance the online experience
One-to-one coaching nurtures excellence.
Strong emphasis on job skills beyond the technical
Principled decision making, teamwork, verbal and written communication, negotiation and self-directed learning.
Students build a portfolio of professional-quality work
Deliverables roll up into a portfolio that can be presented to employers.

6. Course Outline Program Duration Part-time: 40 weeks (15 hours/week)
Module
Topic
Tools you will learn 1
Data Analytics: Understanding Customers and Predicting Product Profitability
RapidMiner 2
Data Analytics: Predicting Customer Preferences and Making Recommendations
R, R Studio, R statistics and machine learning packages, SQL 3
Deep Analytics and Visualization
Advanced R packages for data visualization, SQL, time series analysis, and machine learning 4
Big Data: Web Mining
Amazon Web Services, Elastic Map Reduce, Hadoop 5
Data Science with Python
Introduction to Python, Numpy, Pandas, MatPlotLib, Sci-Kit Learn
Program Duration
Part-time: 40 weeks (15 hours/week)
Full-time: 20 weeks (30 hours/week)

7. Module 1: Customer Behavior and Product Profitability
You are a member of the Data Analytics team in an electronics company who will use machine learning to provide insight into customer buying trends and preferences. Your tasks are to:
Analyze differences in customer behavior
Predict the profitability of potential new products
Tool used:
RapidMiner

8. Module 2: Predicting Customer Preferences
You continue working for the electronics company. Your tasks are to:
Develop predictive models to predict customer product preferences.
Build a recommender system using association rules
Tools used:
R, R Studio, R statistics and machine learning packages, SQL

9. Module 3: Deep Analytics and Visualization
You are working for an “Internet of Things” analytics firm. Your tasks are to:
Model smart energy usage
Develop an indoor locationing solution
Tools used:
Advanced R packages for data visualization, SQL, time series analysis and machine learning

10. Module 4: Big Data – Web Mining
You are working for a big data consulting firm.
Your client is an app developer that has hired you to conduct a web sentiment analysis of users’ attitudes towards various models of smartphones.
Tools used:
Amazon Web Services, Elastic Map Reduce, Hadoop

11. Module 5: Data Science with Python
You are working as a Data Scientist for a third-party credit rating firm. Your tasks are to:
Develop a predictive model to better classify “at-risk” potential customers.
Complete a capstone project of your choice.
Tools used:
Python, Jupyter Notebooks, Numpy, Pandas, MatPlotLib, Sci-Kit Learn

12. Program Requirements Prerequisites: Computer requirements:
One year of work experience (no need to be technical).
High level of computer literacy.
Familiarity with Windows, Mac or Linux operating systems, specifically:
Creating and managing folders within folders.
Creating and extracting files from zip archives.
Elementary administrative tasks (e.g., installing software requiring admin privileges).
Basic familiarity with Microsoft Office or equivalent.
Computer requirements:
Modern laptop or desktop computer with high-speed Internet connection.

13. Suggested Prep Work Prior to Course Start Date
Take a tour of RapidMiner
Read Section 1 in Data Mining for the Masses, 3rd edition
Work through designated exercises in the RapidMiner Learn tutorials
Additional recommended reading: “Statistics For Absolute Beginners” by O. Theobald

14. Registration and Start Date
A registration portal will be available shortly online at:
Course dates:
Data Analytics Certificate Program, 18/09/2019

15. Cost Program Cost Price point 1 Price point 2 Criteria
Price point 1
Price point 2
Criteria
Citizens from outside the ASEAN and SAARC countries
Citizens from ASEAN or SAARC countries
Full time course price
5,900 USD / 177,000 THB
4,130 USD / 123,900 THB
Part time course price
6,900 USD / 207,000 THB
4,830 USD / 144,900 THB

16. Payment Plan Options
Data Analytics Certificate Program - A 30% deposit is required upon registration. The next month, ½ of the remaining balance is due. The third month, the remaining balance is due.