What will you in Beginner Statistics for Data Analytics – Learn the Easy Way! Course
- Understand the fundamentals of statistics without memorizing complex formulas
- Make better, more accurate data-driven decisions using descriptive and inferential techniques
- Plot different types of data using scatter plots and histograms to reveal patterns
- Calculate correlation, standard deviation, and other key measures of variability
- Make estimates using confidence intervals to quantify uncertainty
- Carry out regression analysis to spot trends and build simple forecasting models Udemy
Program Overview
Module 1: Getting Started & Excel Setup
⏳ 30 minutes
Installing Excel and configuring the environment for statistical analysis
Overview of the course structure and definitions of key statistical terms
Module 2: Descriptive Statistics & Central Tendency
⏳ 45 minutes
Calculating mean, median, mode, and understanding data distributions
Measuring variability with range, variance, and standard deviation
Module 3: Data Visualization
⏳ 45 minutes
Building histograms, bar charts, and scatter plots in Excel
Interpreting visual cues to identify outliers and trends
Module 4: Correlation & Covariance
⏳ 1 hour
Computing covariance and correlation coefficients
Assessing strength and direction of relationships between variables
Module 5: Inferential Statistics & Confidence Intervals
⏳ 45 minutes
Understanding sampling distributions and the Central Limit Theorem
Constructing and interpreting confidence intervals for means and proportions
Module 6: Regression Analysis & Forecasting
⏳ 1 hour
Performing simple linear regression in Excel using built-in tools
Interpreting regression output: slope, intercept, R², and p-values
Module 7: Combining Descriptive and Inferential Methods
⏳ 45 minutes
Integrating analysis techniques to draw actionable insights
Case study: applying both descriptive and inferential methods to real data
Module 8: Final Project & Next Steps
⏳ 30 minutes
Capstone exercise: end-to-end statistical analysis in Excel
Resources for further learning in statistics and analytics
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Job Outlook
Data Analyst and Business Analyst roles routinely require these core statistical skills to interpret business metrics
Marketing Analysts and Operations Specialists use confidence intervals and regression to optimize campaigns and processes
Foundational for careers in Data Science, Financial Analysis, and Quality Control across industries
Equips you with the toolkit to participate in data-driven decision-making, a top-requested skill in today’s job market
Specification: Beginner Statistics for Data Analytics – Learn the Easy Way!
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