Introduction to Data Analytics

Beginner
5 sections
40 topics
Duration: 10 weeks

N60000

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What you'll learn

  • Data exploration, cleaning, and visualization.
  • Gain skills in descriptive statistics, inferential statistics, and correlation/regression analysis.
  • Develop the ability to interpret and draw insights from data, with practical applications and exposure to data analysis tools.

Course content

  • Overview of Data Analytics
  • Definition and importance of data analytics
  • Applications in various industries
  • Data Analytics Lifecycle
  • Understanding the data analytics process
  • Identifying business problems and opportunities
  • Types of Data and Data Sources
  • Structured vs. unstructured data
  • Common data sources

  • Data Collection Methods
  • Surveys, sensors, web scraping, etc.
  • Ethical considerations in data collection
  • Data Cleaning and Preprocessing
  • Handling missing data
  • Data normalization and transformation
  • Introduction to Data Cleaning Tools
  • Overview of tools like Excel, OpenRefine, etc.

  • Exploratory Data Analysis Overview
  • Purpose and techniques of EDA
  • Visualizations and summary statistics
  • Data Visualization Tools
  • Introduction to tools like Matplotlib, Seaborn, and Tableau
  • Creating basic visualizations
  • Case Study: EDA in Action
  • Applying EDA to a real-world dataset

  • Basic Statistical Concepts
  • Mean, median, mode
  • Variance and standard deviation
  • Hypothesis Testing
  • Introduction to p-values
  • Conducting basic hypothesis tests
  • Regression Analysis Overview
  • Simple linear regression
  • Understanding correlation

  • Overview of Data Analytics Software
  • Introduction to tools R and Python
  • Choosing the right tool for the task
  • Hands-On: Data Analysis in Python
  • Basic data manipulation and analysis using Pandas
  • Jupyter notebooks and Python environments

Requirements

Participants should have a basic understanding of mathematics and access to a computer with internet connectivity

Description

Explore the fundamentals of data analysis in this course. Covering data exploration, cleaning, and visualization, it provides hands-on experience with descriptive and inferential statistics, correlation, and regression analysis. Learn to interpret data insights and apply analysis tools in real-world scenarios.

Who this course is for:

This course is designed for individuals at all levels seeking to develop or strengthen their data analysis skills.