Data Analytics Professional

Internet of Things (IoT) and Analytics courses are an extremely hot area of technology right now for any business undergoing a digital transformation. In this course, you will enjoy being on the leading edge of the technology transformation, solving business problems.

What we will cover:

  • Build and Manage Databases.
  • Effectively structure and organize large quantities of data to conduct a high-quality analysis.
  • Identify Dataset Trends.
  • Use a diverse range of techniques and formulas to recognize patterns and uncover relationships between data points.
  • Present Insights.
  • Build visually dynamic dashboards in Tableau to communicate the results of your analysis.

Why Are We The Best?

Intensive e-Learning

Our advanced e-learning management system, provides an interactive hub for all your learning activities, making it easy to manage your studies and access a wealth of course material, quizzes, assignments, and live classrooms. Best of all, you can log in from anywhere, at any time using any computer or smartphone.

Professor Led-Classroom Hands-on Training

Our teachers are not just great teachers and motivators – they also have years of real-world experience working in their chosen sector. That means that they can offer the kind of first-hand knowledge that makes the theory come alive and show you how what you’re learning links directly to your own experience in the workplace.

Professor Led-Simulation

We believe in providing students with as much real-world experience as possible in an academic environment, by using the business simulators.

Certification

You will receive the following industry certifications:

  • Python Certified Associate Programmer Certification (PCAP)
  • Tableu Certificate
  • Data Analytics Certificate
  • Internet of Things Specialist – Cisco

Curriculum

Data Analytics Fundamentals

MST IoT 200 IoT (Internet of Things) – Data Analytics Process

MST CDE 200 Collecting Data & Essential Statistics

Tableau

MST TBL 200 Tableau -Dashboards

MST BDC 200 Big Data Business Capstone- Applying the Analytics Process

Excel

MST EXL 200 Excel Functions & Lookups

MST BDAP 200 Big Data & Analytics Programming Project

Tuition

$5,500 per quarter

$10,000 per 2 quarters

Schedule

Total Program Length– 2 quarters

First quarter: 18 hours/week for 10 weeks = 180 hours

Second quarter: 18 hours /week for 10 weeks = 180 hours

Sample Internships Opportunities in New York

Data Analyst

Kepler – New York, NY

We are looking for a Data Analyst to work in a fast-paced startup-like environment sourcing, creating, and analyzing data for an equities investment process.

Responsibilities and Duties

  • Source for alternative data sources that are relevant for investment signals.
  • Work with third-party service providers to coordinate analytics projects.
  • Interpret data, analyze results using statistical techniques, and provide ongoing reports
  • Write pipelines to convert raw data into aggregated data that can be used as signals.
  • Develop and implement databases and build data collection and maintenance systems for data from disparate systems.
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Program taught in:
English

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Last updated February 26, 2019
This course is Campus based
Start Date
Open Enrollment
Duration
20 weeks
Full-time
Price
5,500 USD
per quarter/10,000 USD per 2 quarters
Deadline
By locations
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Start Date
Open Enrollment
End Date
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Open Enrollment

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