Data Science and Big Data

Learn the the foundations on big data integration and processing on Hadoop, retrieve data and apply data integration patterns, design and apply learning techniques to model data, and apply techniques to handle streaming data.

Data Science and Big Data Diploma Course in mississauga, brampton, toronto

Our Data Science and Big Data program introduces the core concepts behind big data problems, applications, and systems. The course will provide students with the ability to identify the characteristics of datasets and the ability to select and implement Big Data models. The course provides insights to techniques for data collection, monitoring, storage, representation and modeling of data, data analytics with Hadoop and MapReduce, predictive modeling and anomaly detection with Hadoop, and building data solution in clustering, and Natural Language Processing.

The students will learn to develop applications using high-level API and compute data with interactive usage. The topics include getting started with Spark, developing and protyping applications, application execution on clusters and High-level libraries such as Spark SWL and MLib.

The program will primarily use the Python programming language and assumes familiarity with linear algebra, probability theory, and programming in Python.

KNOWLEDGE & SKILLS GAINED

Data Science and Big Data students will understand the foundations on big data integration and processing on Hadoop, retrieve data and apply data integration patterns, design and apply techniques to model data, and handle streaming data. Student will be able to identify Big Data problems, use Spark Shell and write Spark Applications, interact with HDFS, execute Spark applications on clusters, and operate production applications.

Students will be able to perform pre-processing and integration of different sensor data, design and create dashboard for IoT data, apply data processing technologies and perform feature engineering on IoT data.

The project work will build your technical skills by providing a methodological approach towards problem solving using tools and techniques in Data Science and Big Data.

NEXT PROGRAM START DATES

Call for Online Schedule
START DATE END DATE DAY TIMING CAMPUS STATUS REGISTER
October 5, 2020 January 18, 2021 MON, TUE, WED, THU, FRI 9:00 AM - 2:00 PM Mississauga - Malton Campus Register Now
October 14, 2020 February 3, 2021 MON, TUE, WED, THU, FRI 9:00 AM - 2:00 PM Online Campus Register Now
February 16, 2021 June 1, 2021 MON, TUE, WED, THU, FRI 9:00 AM - 2:00 PM Mississauga - Malton Campus Register Now
View All Schedules
Contact us directly for other start dates
Seats Available
Limited Seats
Class Full

PRE-REQUISITES: Computer Knowledge

PROGRAM OUTLINE

Professional Skills - Trains on interpersonal skills required for successful induction and working in professional world.

Project+:  This CompTIA training course helps you to prepare for CompTIA Project+ exam.

Introduction to Programming - This instructor-led course is intended for students who want to learn how to write Python code that logically solves a given problem.

Statistical Inference: The course introduces the fundamental concepts for understanding statistical analysis and its use in testing hypothesis and exploratory data analysis.

Data Processing and Manipulation - This course will introduce the concepts of data processing, wrangling, manipulation, transformation, and operations on data using Pandas Library.

Data Visualization - This course will provide the necessary skills to interpret and present data clearly and visually appealing using Python libraries.

Big Data Analytics with Hadoop - The course will provide the ability to identify the characteristics of datasets and to select and implement Big Data models.

Big Data Tools and Techniques - This course will introduce students with Apache Spark, which improves Big Data Processing and will provide insights to developing and protyping applications, application execution on clusters and High-level libraries such as Spark SWL and MLib.

Data Analytics for IoT - This course provides an understanding towards analytics on IoT data and covers topics such as IoT Devices and Networking protocols, IoT Analytics for Cloud, Strategies to collect and Explore IoT data, Visualization and Dashboards for IoT data, Geospatial Analytics to IoT Data, and organizing data for Analysis.

Capstone Project for Data Analysis and Big Data - This capstone project provides a hands-on learning experience for students to work independently on a specialized topic from Data Analysis and Big Data.

WHY THIS PROGRAM?

Earning a Diploma in Data Science and Big Data opens doors to a vast array of opportunities in IT industry. This diploma is a merging of the courses in Data Science and Big Data. Students are therefore trained in Big Data tools and techniques required for processing data, along with necessary skills to interpret and process data. Top IT employers are looking for software engineers who understand the complexity of data problems in industry and can collaborate towards problem solving using Data Science and Big Data techniques.

LEARNING STEPS TOWARDS OTHER SIMILAR PROGRAMS

Steps to Obtain PG Diploma in Artificial Intelligence and Machine Learning

ASSOCIATED NATIONAL OCCUPATION CLASSIFICATION (NOC) CODES

After earning a diploma in Data Science and Big Data, graduates are eligible for positions falling under the following NOC Codes.

2173-Software engineers and designer’s research, design, evaluate, integrate and maintain software applications, technical environments, operating systems, embedded software, information warehouses and telecommunications software. They are employed in information technology consulting firms, information technology research and development firms, and information technology units throughout the private and public sectors, or they may be self-employed.

2171- Information systems analysts and consultants analyze and test systems requirements, develop and implement information systems development plans, policies and procedures, and provide advice on a wide range of information systems issues. They are employed in information technology consulting firms and in information technology units throughout the public and private sectors, or they may be self-employed.

2172-Database analysts design, develop and administer data management solutions using database management software. Data administrators develop and implement data administration policy, standards and models. They are employed in information technology consulting firms and in information technology units throughout the private and public sectors.

2161-Mathematicians and statisticians research mathematical or statistical theories, and develop and apply mathematical or statistical techniques for solving problems in such fields as science, engineering, business and social science. Actuaries apply mathematics, statistics, probability and risk theory to assess potential financial impacts of future events. Mathematicians, statisticians and actuaries are employed by universities, governments, bank and trust companies, insurance companies, pension benefit consulting firms, professional associations, and science and engineering consulting firms.

1254- Statistical officers and related research support occupations in this unit group provide statistical and research support services to a wide range of businesses and organizations. These workers conduct statistical routines, monitor trends, compile data and prepare charts, graphs, summaries and reports in support of organizational information needs and research activities. They are employed throughout the private and public sectors. Statistical officers who are also supervisors are included in this unit group.

JOB FUNCTIONS

Software Engineers and Information Technology Associates perform some or all of the following duties:

Database analysts design, develop and administer data management solutions using database management software. Mathematicians and statisticians research mathematical or statistical theories, and develop and apply mathematical or statistical techniques for solving problems in such fields as science, engineering, business and social science. Actuaries apply mathematics, statistics, probability and risk theory to assess potential financial impacts of future events. Mathematicians, statisticians and actuaries are employed by universities, governments, bank and trust companies, insurance companies, pension benefit consulting firms, professional associations, and science and engineering consulting firms.

  • Collect and document users' requirements and develop logical and physical specifications
  • Compile tables, charts, graphs and summarized statistics for integration in research papers and reports.
  • Process data using statistical software to conduct basic analyses of trends in support of research activities
  • Collect, consolidate, cross-tabulate and format data from various sources to prepare draft reports for review by supervisors or researchers
  • Assist in collection and tracking of data from monitored use of services and provide information to management and client groups
  • May prepare technical documents and monitoring reports on volumetric and other trend analyses
  • May supervise statistical and research support workers.
  • Apply mathematical techniques to the solution of problems in scientific fields such as physical science, engineering, computer science or other fields such as operations research, business or management.
  • Collect, consolidate, cross-tabulate and format data from various sources to prepare draft reports for review by supervisors or researchers.
  • Process data using statistical software to conduct basic analyses of trends in support of research activities
  • Describe, prepare, format and scale the data infrastructure for analysis and implementation.

May lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models.

JOB REQUIREMENTS

A bachelor's degree or college diploma in Data Science and Big Data.

Job openings in the field of Information Technology usually seek a person with diploma in Data Science and Big Data or have studied related fields of study. Since majority of the IT companies are looking with software engineers who can work with large datasets to provide data visualization expertise and interpretation of data into meaningful insights and create a broad range of data driven solutions by applying a variety of techniques to build out complex models.

Job openings in the field of Data Science and Big Data usually seek a person who can design and develop complex reports, dashboards and scorecards to support business needs. The person can Design, implement, and deploy high-performance, custom applications at scale on Hadoop.

EMPLOYMENT AREAS & PROSPECTS

Completing the Diploma in Data Science and Big Dataexposes students to various fields for hire, predominately for data analysis, data engineer, big data developer, software engineers, information systems, information analysts, research analyst, and data management, in various IT industries. The technology sector in Canada is growing at an expansive rate which is allowing for new opportunities to arise this field.

The job market for graduates with understanding in Data Science and Big Data in IT industry is projected to grow 56% in the next few years and create new jobs as the number of companies expanding their IT departments, are growing.

  • facebook icon
  • facebook icon
  • twitter icon
Duration 15 Weeks - Full Time
Campus Mississauga - Malton
Course Fees Contact Us
Faculty IT
Course Level Intermediate
Features In Class, Assignment
Language English

Quick Application Form









Call Now
CIMT College - Mississauga, Brampton, Toronto, Scarborough - Celebrating 20 Years

Careers Start At Cimt College - Mississauga, Brampton, Toronto

AFFILIATED PARTNERS

Our Affiliated Partners