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Data Analytics Training (Hybrid)

November 3, 2021 - February 12, 2022

data analytics training

Data analytics training using Hybrid Learning allow interns/trainees to experience BOTH in-class and online internship. You will connect with other interns remotely in real-time ONCE mid-week and have a full practical session on Weekends (Saturdays). This Hybrid Learning is ideal for the busy working individuals occupied on their jobs on weekdays, could manage to take ONE class online mid-week and then come to our training center for their practical/lab sessions on Saturdays when they will be freer.  Interns will have face-to-face interaction with their instructors on weekends for practicals.


What you will Gain from the Hybrid Training Program in Data Analytics

  • Acquire the skills needed to create innovative Data and AI solutions
  • Best and World-Class Teaching Resources online and offline
  • Weekend Access to our New Data Science Library with state-of-the-art books
  • Space to study and practice on Saturday at our training center
  • Weekend Class with Face-to-Face interaction with your instructor to solidify your learning
  • Escape from 100% online program by having face to face practical on Saturdays
  • Free software and free wireless network


Careers Prospects

Data analytics training offers monthly webinars by inviting experts and practicing Data Scientists in Nigeria or abroad to discuss various topics which help prepare our interns for career or change of career. We also recommend our interns to companies for employment, which is also extended to our alumni after leaving us. We have a track record of our interns assuming roles such as data scientist, data analyst, data engineer or business analyst in various companies in Nigeria and abroad.


Project-Based Learning

Data analytics training with our hybrid method is fully project-oriented, you will learn to work on practical projects that would be attractive to hiring managers or form a strong portfolio for you. Some current areas of product development at DataLab include the following:

  • Artificial intelligence Chatbot
  • Business Intelligence Dashboards
  • Customer Segmentation and Product Recommendation
  • Time Series Modelling and Forecasting
  • Anomaly Detection with Machine Learning
  • Natural language Processing for Intelligent Systems
  • Mobile and Web Application Development for Data Product
  • Data Science for Cybersecurity


Data Analytics and Business Intelligence Tools you will Learn:

  1. Python Programming
  2. R Programming
  3. SQL
  4. Microsoft Power BI



data analytics training


Python Programming

This course equips you with skills in python programming language. You will be able to understand problems through data and build machine learning models to solve problems from diverse fields from health, finance, marketing, business, etc.


Python Programming from Scratch

  1. Data Types and Variables
  2. Control Flow with Conditionals
  3. Lists and Loops
  4. Functions
  5. Python Dictionaries

Data Science with Python

  1. Working with arrays and matrices with Numpy
  2. Data Manipulation with Pandas
  3. General Data Processing in Python
  4. Data Cleaning Essentials for Building Predictive Models with Python
  5. Introduction to Machine Learning Algorithms (Simulations)
  6. Selected Projects using Machine Learning with Supervised Algorithms
  7. Explainable Artificial Intelligence with Python (XAI)
  8. Business Intelligence Solution using Python (Final Project)


R Programming

R is a powerful tool for data science. You will learn the basic to advanced R programming which will enable you to implement sophisticated data mining and deploy interactive machine learning-powered dashboards.


  1. Introduction to Basic and Logical Operations in R
  2. Manipulate, Clean and Summarize unstructured data (basic methods, Dplyr and Plyr)
  3. Introduction to Interactive Data Visualizations with Plotly in R
  4. Building Business Intelligence Dashboard (Final Project)
  5. Machine Learning in R (Classification and Regression)
  6. Sampling Techniques and Model Evaluations
  7. Introduction to Explainable Machine Learning in R



You would master Power BI to design a fully interactive dashboard and gain powerful insights from data visualizations. You will master Basic to Advanced Power BI to become a business intelligence expert.


  1. Introduction to Data Visualization and Power BI
  2. Data Preprocessing and Transformation in Power BI
  3. Introduction to Relationships and Model
  4. Creating Tabular Model in Power BI
  5. More on Data Preprocessing and Transformation
  6. Introduction to DAX, measures and calculated columns.
  7. Creating Stunning Visualizations and Dashboards



This course provides a comprehensive study of the language of relational databases: Structured Query Language (SQL).

SQL is the language of database and a MUST know for every Data Scientists. This course will equip you with practical skills in working with a popular database to extract, transform and load data from the database.


  1. Introduction to Relational Database Management System
  2. Hands-on my MySQL Database
  3. Creating SQL Database
  4. Grouping and Summarizing Data with SQL
  5. Using SQL to Select Data from More Than One Table
  6. Grouping and Summarizing Data with SQL
  7. Using SQL to Select Data from More Than One Table
  8. Joining SQL Tables
  9. Managing  SQL Tables
  10. Using SQL Views
  11. Using SQL Sub-Queries
  12. Using SQL to Insert Data
  13. Using SQL to Update Data
  14. Using SQL to Delete Data
  15. Using SQL Transactions


SCHEDULE: Wednesday (Online, 8 pm – 10 pm) and Saturday (Physical Class, 10am – 4pm)


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


LOCATION: ONLINE (once weekly) and In-class (Saturdays in Abuja).




November 3
February 12, 2022
Event Category:


Datalab Training Centre
Suite 33 Mazfalah Plaza
Karu Site Round-About Abuja, F.C.T 23401 Nigeria


Datalab Technology Limited