Data analysis is the process of extracting information from data. It involves multiple stages including establishing a data set, preparing the data for processing, applying models, identifying key findings and creating reports. The goal of data analysis is to find actionable insights that can inform decision making. Data analysis can involve data mining, descriptive and predictive analysis, statistical analysis, business analytics and big data analytics
Pre-requisite:
No knowledge of computer and/or IT is required to attend this program.
Benefits:
Allows for the identification of important (and often mission-critical) trends.
Helps businesses identify performance problems that require some sort of action.
Can be viewed in a visual manner, which leads to faster and better decisions.
Better awareness regarding the habits of potential customers.
It can provide a company with an edge over their competitor.
Duration: 72 hours over eight (8) weeks. Three (3) hours daily Mondays,Wednesday Fridays.
Morning : 9am. - 12p.m.
Afternoon : 2p.m. - 5p.m.
Evening : 6pm. - 8:30p.m.
Course Contents:
The courses that are covered in this program include:
Introduction to Data Science/Analysis
Tools for data Analysis:
i) Microsoft Excel (Advanced)
ii) Python
iii) SQL
Data visualization using MS Excel
Manipulating Data set using Python
SQL Fundamentals
Importing Data from user files to Microsoft/Oracle Database.
Exporting Data from Microsoft/Oracle Database to Microsoft Excel.
Administering Microsoft SQL Server Database.
Administering Oracle Database.
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Endurance
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Ayorinde Tomiwa
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Okeowo Iseoluwa
Who is this course for?
Data analysts
Marketing Executives
Software Developers
Accountants
Statisticians
Economists
Financial analysts
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