Stats for Data Analytics
Think statistics are intimidating? Think again! This beginner-friendly course will demystify the fundamentals of statistics and teach you how to leverage tools like Excel to analyze data confidently. From averages to regression analysis, you’ll learn the skills to make informed, data-driven decisions.
Access all courses starting at $25/month.
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3 hrs 13 mins
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42 Lessons
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5.5 NASBA CPE Credits
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Language: English
This Stats for Data Analytics Course provides a practical, hands-on introduction to the essential concepts of statistics for anyone looking to analyze data effectively. Designed with simplicity in mind, this course skips the intimidating formulas and focuses on teaching key statistical concepts using easy-to-understand definitions and Excel tools.
Participants will explore topics like descriptive and inferential statistics, variance, standard deviation, and regression analysis. Through interactive exercises and practical applications, learners will gain the confidence to interpret data and extract meaningful insights.
Whether you’re a beginner or looking to strengthen your data skills, this course is the perfect starting point for your analytics journey.
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In this course, you'll learn...
✅ Descriptive Statistics: Understand measures like mean, median, and mode to summarize and describe datasets effectively.
✅ Variance and Standard Deviation: Learn how to assess the spread of data and measure variability for better insights.
✅ Histograms and Data Visualization: Create visual representations of data to identify patterns and distributions.
✅ Inferential Statistics: Use sample data to make predictions and generalizations about larger populations.
✅ Regression Analysis: Perform simple regression analysis to uncover relationships and predict outcomes.
✅ Excel for Statistics: Master essential Excel formulas and tools to streamline statistical analysis and avoid manual calculations.
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How you'll apply these skills...
- Data Interpretation: Summarize complex datasets into actionable insights for business decisions.
- Predictive Analysis: Use inferential statistics to forecast trends and outcomes based on sample data.
- Effective Communication: Present data visually using histograms and scatter plots to clarify key findings.
- Real-World Application: Apply statistical concepts to workplace scenarios, improving decision-making and strategic planning.
- Personal Confidence: Demystify statistics and feel confident analyzing data in your professional and personal life.
Additional Info
📝 Format
3-6 minute videos, 5 quizzes, and a final exam
🖥️ Field of Study
Statistics
💼 CPEs
5.5
📋 Prerequisites
You should have an intermediate knowledge of Excel (e.g. IF statements, VLOOKUP, COUNTIFS, etc.). If you are not comfortable with Excel, we recommend taking our Microsoft Excel Bootcamp.
Also, we recommend taking our Intro to Data Analytics in conjunction with this course.
Access all courses starting at $25/month.