DIPLOMA IN BUSINESS COMPUTING - BIG DATA ANALYTICS

This specialization course has been specifically designed by industry experts with the emerging data trends and technologies which affect business models and inform IT strategies in mind.


 COURSE DESCRIPTION

This specialization course has been specifically designed by industry experts with the emerging data trends and technologies which affect business models and inform IT strategies in mind. Participant on this course will be equipped with the state-of -the-art technologies, tools, and techniques to generate value out of big data.

COURSE OBJECTIVES
By the end of this course, a participant will be able to:

  1. Set up Hadoop on a single node cluster

  2. Perform analysis on data stored in HDFS using Pig or Hive

  3. Load and read data from Hadoop Distributed File System (HDFS)

  4. Install and configure Apache Spark

  5. Perform data analysis on Resilient Distributed Data sets using python

  6. Compare batch vs. real-time analytics

  7. Use data science libraries like Pandas, Numpy and Jupyter notebook

  8. Use machine learning libraries such as scikit-learn and statistical models

  9. Use Python data science ecosystem on several practical case studies,

  10. Extract, load and transform data from various sources using R

  11. Use ggplot2 package to visualize data

  12. Do exploratory analysis on data sets using R

 

TARGET GROUP 
The target group for the FSD programme includes:

 

  • Certificate in Software Development/Foundation of Software Development
  • HND/Degree holders with knowledge in SQL and a programming


COURSE MODULES 

  • Big data and components

  • Hadoop application & HDFS

  • Hadoop and architecture

  • Introduction to spark

  • R-language

  • Python for Data science

  • Django


COURSE DELIVERY MODE

This course will be delivered through an instructor led hands-on training with supervised labs, online project sessions, and project.


CAREER OPTIONS

  • Hadoop / Big Data Developer

  • Hadoop Administrator

  • Spark Developer

  • Big Data Architect

  • Machine Learning Engineer

  • Big data Engineer

  • R- programmer.

  • Graduates aspiring to build a career in analytics

 

SESSION

  • Weekdays ( 8am- 5pm) Monday- Friday    
  • Weekends ( 9am- 6pm) Saturday & Sunday
  • Evenings ( 5:30pm- 8pm)
 

DURATION

11  Weeks

 

PREREQUISITES

  • Certificate of Software Development
  • Knowledge in Java or Python

  • Basic knowledge in Structured Query Language(SQL)


ELIGIBILITY

  • 1. Certificate in Software Development (CSD)
  • 2. Foundation of Software Development
  • 3. Aiti-kace old DBC holders
  • 4. Degree /HND in Computer Science, engineering or its equivalents


 

ASSESSMENT

Participant will be assessed through quizzes, exams, and hands-on projects throughout the course.



FEES: GHC 4,500

REGISTRATION: GHC 80

 
CLICK HERE TO REGISTER