Data Analysis Essentials - Starter Plan

Data Analysis Essentials - Starter Plan

₦120,000.00
₦150,000.00
Starter Plan: Data Analysis Essentials
Description:
The Data Analysis Essentials plan is designed for beginners who want to build a strong foundation in data analysis. This plan covers the basics of data analysis, including understanding data types, using essential tools like Excel and Google Sheets, and learning fundamental techniques for data cleaning, visualization, and basic statistical analysis.

Course Outline:

Introduction to Data Analysis

Understanding Data Types and Formats
Overview of Data Analysis Process
Data Handling with Excel and Google Sheets

Data Entry and Management
Basic Formulas and Functions
Sorting, Filtering, and Pivot Tables
Fundamentals of Data Cleaning

Identifying and Handling Missing Data
Data Formatting and Standardization
Removing Duplicates and Outliers
Introduction to Data Visualization

Creating Charts and Graphs in Excel/Google Sheets
Understanding Key Data Visualization Principles
Basic Statistical Analysis

Descriptive Statistics (Mean, Median, Mode, etc.)
Introduction to Probability and Distributions
Simple Hypothesis Testing
This plan equips learners with the essential skills needed to start their journey in data analysis, making them ready
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Data Analysis Essentials - Starter Plan

Description: The Data Analysis Essentials plan is designed for beginners who want to build a strong foundation in data analysis. This plan covers the basics of data analysis, including understanding data types, using essential tools like Excel and Google Sheets, and learning fundamental techniques for data cleaning, visualization, and basic statistical analysis.

Course Outline:

  1. Introduction to Data Analysis

    • Understanding Data Types and Formats
    • Overview of Data Analysis Process
  2. Data Handling with Excel and Google Sheets

    • Data Entry and Management
    • Basic Formulas and Functions
    • Sorting, Filtering, and Pivot Tables
  3. Fundamentals of Data Cleaning

    • Identifying and Handling Missing Data
    • Data Formatting and Standardization
    • Removing Duplicates and Outliers
  4. Introduction to Data Visualization

    • Creating Charts and Graphs in Excel/Google Sheets
    • Understanding Key Data Visualization Principles
  5. Basic Statistical Analysis

    • Descriptive Statistics (Mean, Median, Mode, etc.)
    • Introduction to Probability and Distributions
    • Simple Hypothesis Testing

This plan equips learners with the essential skills needed to start their journey in data analysis, making them ready for more advanced topics.