Courses Details

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Definition

Data analysis is the process of systematically applying statistical and logical techniques to describe, illustrate, and evaluate data. The goal is to discover useful information, suggest conclusions, and support decision-making by identifying patterns, trends, and relationships within the data.

Key Terms

  • Dataset
  • Variables
  • Key Performance Indicators (KPIs)
  • Qualitative Data
  • Quantitative Data
  • Primary Data
  • Secondary Data
  • Data Cleaning
  • Exploratory Data Analysis (EDA)
  • Statistical Analysis
  • Data Visualization
  • Dashboard
Introduction to Data Analysis
  • Overview and purpose of data analysis
  • Key concepts: datasets, variables (dependent and independent)

Types of Data

  • Qualitative vs. Quantitative data
  • Primary vs. Secondary data

Key Performance Indicators (KPIs)

  • Definition and importance
  • Developing KPIs for business objectives

Data Cleaning

  • Importance of data cleaning
  • Common methods: handling missing data, removing duplicates

Exploratory Data Analysis (EDA)

  • Overview of EDA
  • Visual methods: charts, graphs, basic statistical summaries

Statistical Analysis

  • Introduction to descriptive and inferential statistics
  • Hypothesis testing and correlation analysis

Data Visualization and Dashboards

  • Importance of visualization in data analysis
  • Building simple dashboards to track KPIs

Industry-Specific Data Analysis

  • Adapting data analysis to industries like healthcare and finance
  • Example use cases

Career Paths in Data Analysis

  • Roles for entry-level, experienced, and senior data analysts
  • Transitioning into data science or business intelligence

Q&A and Wrap-up

  • Review of key points
  • Final discussion and resources for further learning
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Amoo Sunday

Data Analyst
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Course Preview
  • Price free
  • Mode scolarship
  • Instructor Amoo Sunday
  • Duration 1 days
  • Attendance Offline (In-person) & Online (Remote)

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