Online Big Data Science

Analyst + Co-op

Hadoop, Spark, Pig, Hive, Impala, YARN, MapReduce

The Online Big Data and Data Science analyst course is designed to give you in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Python, Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.


You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various forms of databases like SQL & No SQL for creating, transforming, and querying data.


Want to attend an In-class training instead? See the in-class Big Data course. 


Why should you register with us? See FAQ and Testimonials. See our Gallery to view us in action and also check out our social side on Facebook.


What You Get

8 hours weekly Online

10 Weeks of training

Open 6 days a week (9am-6pm)

5 days online access to teacher

120 hours (10 Weeks) in total

Saturday & Sunday classes

24x7 access to Lab

Installation of all required software

Have fun in a high energy class

1 months Work Term placement

Job Referral and Hiring

Flexible Payment Plan
Group & Corporate Discount

What You'll Learn 

Module 1:  Data warehousing, ETL & Big Data concepts 

Module 2: Linux & Shell scripting

Module 3: Java/Python Essentials for Hadoop Java

Module 4: Hadoop HDFS, MapReduce & Yarn 

Module 5: Querying Data using Hive 

Module 6: Ingesting Data using Apache Sqoop 

Module 7: Data streaming using Apache flume & Kafka 

Module 8: Processing and transforming Data using Apache Pig

Module 9: NoSQL Databases 

Module 10: Apache Spark

Module 11: Scala for Apache Spark

Module 12:  Hadoop/Big Data testing 


We also offer Full Stack Developer, DevOps, Automation Testing and  Scrum Master Training. View our classes page to see a full list of our classes. Contact us for any questions. Due to COVID-19, we understand you may have more time and want to create a custom fast tracked curriculum. This is also possible. Contact us for more details.




Big Data + Co-op (Online)
20 sessions 
9:00AM - 1:00PM EST
1- 4 Yrs
5 - 9 Yrs
10+ Yrs

Career Roadmap

  • Big Data Analyst 

  • Big Data Developer 

  • Big Data Tester

  • Salary up to $75k

  • Big Data Architect

  • Big Data Developer Lead

  • Big Data Test Lead 

  • Data Scientist 

  • Salary up to $100k

  • Big Data Manager

  • Data Project Manager

  • Hadoop Data & Analytical Manager

  • Salary up to $130k

BusyQA Alumni have been hired by some of the largest companies in Canada

Know your Instructor

Big Data/Data Science Expert. PHD


Maher Selim is a data science and machine learning postdoctoral fellow at Trent University. He worked in many Big Data and Data Science projects. Maher also is lecturing in the machine learning, data science, and Big Data subjects in Trent University.  He received his PhD. in physics from the University of Western Ontario, and his M.Sc. and B.Sc. in physics from Egypt. His research is focusing on developing of a confident and accurate forecasting system using deep learning artificial neural network on big data platforms.



Hi, I'm Maher Selim

Head office :

Suite 1532

4 Robert Speck Parkway
Mississauga ON L4Z 1S1 

Training Centers  (appointment only):



Iceland Mississauga
705 Matheson Blvd E, Mississauga

ON L4Z 3X9


Ivor Woodlands Room

South Common Community Centre

2233 South Millway, Mississauga

ON, L5L 3H7


Swansea Town Hall Community Center

95 Lavinia Ave, Toronto

ON M6S 3H9


Program Room 1/2

Thornhill Community Centre Library

7755 Bayview Ave, Thornhill

L3T 4P1


Library Room
Grace Place

156 Main St. N.
Brampton ON L6V 1N9


Kitchener Public Library                      

Central Library
85 Queen St N

Kitchener ON N2H 2H


Tel: 1-905-499-3705

Open Mon - Fri : 9AM- 6PM

Sat: 9AM- 2 PM

Sun: Closed

© 2020

busyQA Inc


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