Data Analytics Module 1

Introduction to Data Analytics

Learning Outcomes: Data helps us make decisions in everyday life and in business. In this first part of the course, you’ll learn how data analysts use data analytics and the tools of their trade to inform those decisions.

Program Description and course syllabus
Introduction to the course
Helpful resources to get started
What is Data Ecosystem
How Data Informs better decisions

The Data Analysis Process

Learning Outcomes: Data has its own life cycle, and the work of data analysts often intersects with that cycle. In this part of the course, you’ll learn how the data life cycle and data analysts’ work both relate to your progress through this program. You’ll also explore analytical thinking and how it relates to data-driven decision-making.

Key Data Analyst skills
Stages of Data life cycle
Phases of Data Analysis

The Data Analysis Tool Box

Learning Outcomes: Data analysts balance many different roles in their work. In this part of the course, you’ll learn about some of these roles and the key skills used by analysts. You’ll also be introduced to applications used in the data analysis process. You will also explore why structured thinking helps analysts better understand problems and come up with solutions.

The Data Analysis Tool box
Structured thinking
Problem solving and Effective questioning: SMART questions
Data analyst job opportunities

Mastering Spreadsheet

Learning Outcomes: Spreadsheets are a very important data analytics tool. In this part of the course, you will learn about how data analysts use spreadsheets in their work every day.

Working with spreadsheet: Columns, rows, and cells, attributes & observation
Formulas in spreadsheet
Functions in spreadsheet

Tools Required

Microsoft excel or Google sheet
MySQL
Power BI

Requirements

Ability to use the computer
Availability of internet

Course Details

N200,000

AGE

ADULT

DELIVERY

ONLINE

MODE

INSTRUCTOR-LED

DURATION

5 WEEEKS

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