How you will learn
1.
Learning modelA 4 -week experiential learning and hands-on training session
2.
Training MethodologyLearn through real-life business cases and work on live projects
3.
Alumni NetworkJoin an ecosystem of talents and connect with leading employers.
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 Glassdoor.com and Careercast.com 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.
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 management and reporting using Data Assistant
Data Assistant is a conversational AI solution that analyses your existing data and generates immediate insights based on the questions you ask it. Whether you are in Human resources setting goal-oriented KPIs, or a digital marketing specialist measuring your marketing campaign reach, you can generate instant insights with no single line of code required. In this module, you will learn how to use Data Assistant to automate data monitoring and predict future outcomes.
This module is designed to provide you with in-depth knowledge on these:
Data Integration
Data Insights and Collaboration
Data Assistant KPIs
Data Assistant query
Data tracking and monitoring
Reporting with Data Assistant
Earn a Nano Degree in Data Analytics
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.
