Data Warehousing & Big Data

PROGRAM DESCRIPTION

Qualification: Certificate
Duration: 12 Weeks
Delivery: Blended
Video: 240 Hours
Practicum: No

Our Data Science Program certificate focuses on job orientation technical skills, and the technical knowledge necessary to consolidate, cleanse, and standardize enterprise data into SAP-HANA data warehouse systems. As a data science student, you will gain the skills needed to store, manage, process & analyze large data sets, design advanced data systems, structures & algorithms and develop machine learning models to discover new Insights and hoard big data using the SAP-HANA system. Moreover, with our program, you will boost your career potential and put yourself on the right path to become a certified data science expert.

CAREER PATHS

MACHINE LEARNING ENGINEER

Machine Learning Engineers are required to build machine learning systems as well as implement and maintain machine learning market applications in technology and business products. Using Keras library in TensorFlow, the key focus of the system is scale-ability. This career path requires expert-level programming skills in ‘R’ or Python and comprehensive knowledge in machine learning models and their applications according to the business sector needs.

DATA ENGINEER

Data Engineers design, build and maintain data structures for large-scale technology applications, as well as supervise and manage an entire data life cycle. This career path requires strong software engineering and learning skills.

DATA SCIENTIST

Data Scientists perform advanced technical analysis to understand complex systems and make related forecasts about them. This is done by using scientific and mathematical methods such as statistics, mathematics and computer science with the main mission of extracting useful patterns and insights from data. The results are demonstrated using statistical models, visualizations and product data.

DATA ANALYST

Data Analysts are expected to use and implement tools such as Excel, SQL, ‘R’ or Python and conclude data to answer specific questions. Data Analysts must have a deep understanding of the organizations’ data. This career path requires some visualization of data to guide the organization to make valuable judgments by taking and implementing key business decisions.

ADMISSIONS REQUIREMENTS

Education

Alberta High School Diploma, General Education Diploma G.E.D., or Equivalent:

  • Verified By Transcript
  • Prioritize Aptitude for Technology and Programming 

English Proficiency

English as a Second Language ESL must pass one of the following

  • International English Language Testing System IELTS score of 5
  • Canadian Language Benchmark C.L.B. level 5
  • Listening 5
  • Speaking 5
  • Reading 5
  • Writing 5

PROGRAM OUTLINE

This Program will cover the following

  • Fundamental Python programming
  • Statistical concepts such as probability, inference, and modeling and how to apply them in practice
  • Gain experience with the Numpy, including data visualization with Matplotlib and data wrangling with pandas
  • Become familiar with essential tools such as Hadoop, Hive, R Implement machine learning algorithms
  • In-depth knowledge of fundamental data science concepts through motivating real-world case studies

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