Data Analytics Fundamentals

By Justice Akorede Uncategorized

About Course

This comprehensive course introduces students to data analytics foundations, combining theoretical knowledge with practical applications. The course features interactive lessons, hands-on projects, and live classes to ensure deep understanding and practical skill development.

Course Content

Foundations of Data Analytics
Objectives Understand the fundamentals of data analytics and its business applications Learn key terminology and concepts in the field Identify different types of data analytics and their use cases

Introduction to Data Analytics
Types of Data Analytics
The Data Analytics Lifecycle
Project: Business Case Analysis
Live Class

Understanding and Collecting Data
Objectives Differentiate between various types of data Master data collection methods Understand data quality and integrity

Data Preparation and Cleaning
Objectives Master data cleaning techniques Learn data transformation methods Understand data preprocessing

Exploratory Data Analysis (EDA)
Objectives Perform comprehensive EDA Create effective visualizations Extract meaningful insights

Data-Driven Decision Making
Objectives Transform data insights into actions Master data presentation skills Understand ethical considerations

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About Course

Course Content

Foundations of Data Analytics Objectives Understand the fundamentals of data analytics and its business applications Learn key terminology and concepts in the field Identify different types of data analytics and their use cases

Introduction to Data Analytics

Types of Data Analytics

The Data Analytics Lifecycle

Project: Business Case Analysis

Live Class

Understanding and Collecting Data Objectives Differentiate between various types of data Master data collection methods Understand data quality and integrity

Types of Data

Data Collection Methods

Data Quality and Integrity

Project: Data Collection and Quality Assessment

Live Class

Data Preparation and Cleaning Objectives Master data cleaning techniques Learn data transformation methods Understand data preprocessing

Data Cleaning Fundamentals

Data Transformation

Data Preparation Tools

Project: Data Cleaning Challenge

Live Class

Live Class

Exploratory Data Analysis (EDA) Objectives Perform comprehensive EDA Create effective visualizations Extract meaningful insights

EDA Fundamentals

Data Visualization

Statistical Analysis

Project: Complete EDA Project

Live Class

Data-Driven Decision Making Objectives Transform data insights into actions Master data presentation skills Understand ethical considerations

From Insights to Actions

Data Presentation

Ethics and Responsibility

Final Project: End-to-End Analytics Project

Live Class

Earn a certificate

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Foundations of Data Analytics
Objectives Understand the fundamentals of data analytics and its business applications Learn key terminology and concepts in the field Identify different types of data analytics and their use cases

Understanding and Collecting Data
Objectives Differentiate between various types of data Master data collection methods Understand data quality and integrity

Data Preparation and Cleaning
Objectives Master data cleaning techniques Learn data transformation methods Understand data preprocessing

Exploratory Data Analysis (EDA)
Objectives Perform comprehensive EDA Create effective visualizations Extract meaningful insights

Data-Driven Decision Making
Objectives Transform data insights into actions Master data presentation skills Understand ethical considerations