Advanced Data

This program is designed to help AI specialists master concepts in machine learning and deep learning and prepare them for a career in artificial intelligence.

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Course Brochure

What you will find in the brochure

(1) About the program(2) Our approach to delivery(3) Course Syllabus

How you will learn


Learning model

An 8 -week experiential learning and hands-on training session


Training Methodology

Learn through real-life business cases and work on live projects


Alumni Network

Join an ecosystem of talents and connect with leading employers.

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Learn Data Analytics Best Practices Live

We’re in a digital economy where data is more valuable than ever. It’s the key to the smooth functionality of everything from the government to local companies. Without it, progress would halt. As a result of the growing importance of data in the digital economy, companies are looking for bright individuals that will help them extract and take advantage of their data. [AI] Academy’s programs are designed to introduce beginners to data analytics from the foundation to an advanced level. At the end of this course, you will be able to work with databases, create visualizations and perform analysis..

Salary and Job Outlook

As one of the fields where the demand for talent far outstrips the supply, it is no surprise that data analytics provides promising career growth and as a result pays handsomely. According to Glassdoor, in 2021 the annual average salary for a Data Analyst was $73,000 in the United States. While in Nigeria, in 2021 the annual average salary for a Data Analyst was ₦3m according to Salary Explorer. Data science is one career that has long been foreseen as one that will trend in the future because of its impact on our daily lives. Some top career and professional websites like and rated data science as the No.1 best job in America for 2020. Many persons have become interested in building a successful career in data science as a result of recent trends.

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What you will learn

Module 1

Data Analytics using Microsoft Excel

In this module, you will learn how to use the most versatile Data Analytics tool—Microsoft Excel. We will explore everything from basic formulas to advanced functions that provide efficient analysis and reliable results, taking your Microsoft Excel skills to the next level. At the end of this module, you’ll be able to Create dynamic reports by mastering one of the most popular tools, PivotTables.

This module is designed to provide you with in-depth knowledge on these:

  • Introduction to Data Analytics

  • Getting started with Excel

  • Data entry, Editing, and Formatting in Excel

  • Using Formulas and Functions

  • Worksheet Management

  • Data Validation, Data Sorting and Filtering

  • Conditional Formatting

  • Introduction to Excel Charts

  • Advanced Excel Charts

  • Pivot Tables

  • Excel Macros

Module 2

Data Analytics using Microsoft Power-BI

In this module, you will learn how to use one of the worlds most robust business analytics tools that allows you to connect to over 70 data sources. You will understand the flow of using Power BI, from connecting to various data sources, importing these into Power BI, transforming the data and then presenting it effectively. At the end of this course, you will be able to build interactive dashboards and publish them to the web and mobile app.

This module is designed to provide you with in-depth knowledge on these:

  • Set up and Introduction to Power BI

  • Power Query for data transformation

  • Data Visualization with Power BI

  • Data Modelling and Data Analysis Expression (DAX)

  • Setup and Integration with Power BI services

Module 3

Structured Query Language

Everything uses a database, and MySQL is one of the most popular databases out there. It is free and Open Source; MySQL is a great database for just about everything. Likewise, Python is one of the most popular and powerful programming languages today. Pairing the two together is a powerful combination! In this course you'll learn the basics of using MySQL with Python. You'll learn how to create databases and tables, add data, sort data, create reports, pull specific data, and more.

This module is designed to provide you with in-depth knowledge on these:

  • MySQL Get Started

  • MySQL Create Database

  • MySQL Create Table

  • MySQL Insert

  • MySQL Select

  • MySQL Where

  • MySQL Where

  • MySQL Order By

  • MySQL Delete

  • MySQL Drop Table

  • MySQL Update

  • MySQL Limit

  • MySQL Join

Module 4

Data Visualization with Python

Write your first Python program by implementing the concepts of variables, strings, functions, loops, and conditions. Understand the nuances of lists, sets, dictionaries, conditions and branching, objects, and classes. Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas. Data visualization plays an essential role in the representation of both small and large-scale data. In this Data Visualization with Python course, you will learn how to create impressive graphics and charts and customize them to make them more productive and more pleasing to your audience. You will gain expertise in several data visualization libraries in Python, namely Matplotlib and Seaborn to extract information, better understand the data, and make more effective decisions. Learn data visualization and best practices when creating plots and visuals Master basic plotting with Matplotlib. Generate different visualization tools using Matplotlib such as line plots, area plots, histograms, bar charts, box plots, and pie charts Understand Seaborn, a data visualization library in Python, and how to use it to create attractive statistical graphics. Understand Folium and how to use it to create maps and visualize geospatial data.

This module is designed to provide you with in-depth knowledge on these:

  • System environment setup

  • Python Basics

  • Python Data Structures

  • Python Programming Fundamentals

  • Working with Data in Python

  • Working with NumPy Arrays

  • Introduction to Visualization Tools

  • Basic Visualization Tools

  • Specialized Visualization Tools

  • Advanced Visualization Tools

  • Creating Maps and Visualizing Geospatial Data

  • Statistical Computing

  • Mathematical Computing using NumPy

  • Data Manipulation with Pandas

  • Data visualization with Python

  • Intro to Model Building

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Get Trained, Get Skills, Get Hired

Accelerate Your Growth. Start now, become it with AI Academy.

Price of the program – N25,000

Earn a Nano Degree in Data Science

Upon completing [AI] Academy’s Data Incubator Program, you'll receive an industry-recognized, professional certification to share with your network and showcase all that you've learned. AI Academy certificates are formatted for sharing on LinkedIn.

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