Data Analyst Internship

Data analyst internship program uses a hybrid learning approach and it is ideal for busy individuals who want to learn online mid-week and in class on weekend. This training program offers robust content that you will be able to apply to your job straight away or to get a high-paying data analytics job.

Data analyst internship offers you opportunities to meet with your instructors online once every mid-week and have a face-to-face session on Saturdays at our data analytics training center in Abuja, Nigeria. 

This program is a Weekend Program and is ONLY available in Nigeria (Abuja only) for now.

What you will Gain from the Data Analyst Internship

  • ● Supportive and innovative teaching environment
  • ● Extra support session weekly
  • ● World-class data analytics books and resources in our Office
  • ● Practical teaching from resourceful and internationally trained instructors
  • ● Certification and Solid Project Portfolio
  • ● Employability skills
  • ● Job coaching and vacancies newsletter for job seekers
  • ● Course content that aligns with the data analytics industry internationally.

Technology Tools in this Internship

  • ● R Programming
  • ● Python
  • ● Microsoft Power BI
  • ● SQL

Course Outlines

R Programming

You will learn the concepts of programming in R, data cleaning, data analysis, and building machine learning models for prediction using R language. You will solve real-life problems with R relevant to the workplace.

Introduction to R and R Studio
Data Wrangling with R Part 1 & 2
Statistical and Exploratory Data Analysis in R
Introduction to Machine Learning
Machine Learning with Classification in R
Machine Learning with Regression in R
Practical Project using Machine Learning Regression in R
Practical Project using Machine Learning Classification in R
Practical Project using Machine Learning Clustering in R
R Final Industry Project

Python and Application Programming

You will learn to understand decision support systems using data insights. You will work your way up from learning to code, and application development to leveraging data to automate decision-making processes across various industries and fully understand the end-to-end process of it.

Statistics for Data Science
Git and GitHub for Version Control
Data Types, Arithmetic Operations, Python Lists, and List Comprehension
Conditional Statements (If Else, Elif, For Loops and While Loops)
Python Function Basics to Advanced
Project Design
Building and Deploying your First Python Application
Working with Numpy
Working with Pandas 1 & 2
Data Quality Assessment, Cleaning, Transformation and Reduction 1 & 2
Exploratory Data Analysis (EDA)
Data Visualization
Reading Data from SQL Databases using Python
Data Science in Industries
Introduction to Machine Learning and Machine Learning Algorithms
Introduction to Deep Learning and Advances in Deep Learning
Machine Learning with Regression
Machine Learning with Classification
Time Series Modeling
Final Industry Project


Microsoft power bi training will equip you with powerful skills for visualizing data from various sources by aggregating them on a dashboard for data-driven insights. You will build a fully interactive business intelligence dashboard for real-life use cases.


  • ● Introduction to Data Visualization in Power BI for Decision Intelligence.
  • ● Data Preprocessing and Transformation in Power BI.
  • ● Introduction to Relationships and Model.
  • ● More on Data Preprocessing and Transformation.
  • ● Introduction to DAX, measures and calculated columns.
  • ● Creating Data-Driven Reports and Dashboards.


SQL is the language of databases. This course will equip you with practical skills in working with a popular database. You will learn how to query databases, extract data and transform data for further analysis.


  • ● Introduction to Relational Database Management System
  • ● Creating SQL Database
  • ● Grouping and Summarizing Data with SQL
  • ● Using SQL to Select Data from More Than One Table
  • ● Joining SQL Tables
  • ● Managing  SQL Tables
  • ● Using SQL Views
  • ● Using SQL Sub-Queries
  • ● Using SQL to Insert Data
  • ● Using SQL to Update Data
  • ● Using SQL to Delete Data
  • ● Using SQL Transactions

CLASS DAYS (Hybrid Mode, Weekend Program):

  • ● Wednesday (Online, 8 pm – 10 pm)
  • ● Saturday (Physical Class, 10 am – 3 pm)


COURSE FEE: N200,000 (Payable in two Equal Instalments)

LOCATION: Only Available in Abuja, Nigeria.

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