STATS-ANALYTICS.AB1
Even You Can Learn Statistics and Analytics
Master key statistical methods and analytics skills with hands-on practice training.
- Practice in 20 Hands-On Labs — nothing to install
- 19 Interactive Lessons and 95 topics mapped to the official exam objectives
- 403 Practice Test Questions and 2 Full Length Tests
Intermediate Self-paced · 1 year access 5.0/5 (109 Reviews)
20 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
19Interactive Lessons
95Topics
20LiveLab
403Practice Test Questions
143Flashcards
143Glossary of terms
01 / Skills you'll get
What you will be able to do
Fully updated to cover “Big Data” analytics and the latest applications, this beginner-friendly analytics course offers a practical introduction.
You’ll master all the key statistical techniques for fields like finance, marketing, quality, science, social science, and more. This course also features gamified test preps and hands-on labs to make sure you grasp every concept.
With hands-on labs, you’ll get to polish your skills on the latest versions of Microsoft Excel. These practice labs are packed with real-world tasks and solutions that you can apply immediately in business or other settings.
- Master statistical tools to analyze massive datasets and generate actionable knowledge.
- Learn to build and interpret compelling statistical charts and tables using Excel or OpenOffice.org Calc 3.
- Explore fundamental statistical measures like mean, median, mode, standard deviation, Z scores, skewness, etc.
- Utilize probability and probability distributions.
- Use sampling distributions and confidence intervals to represent whole populations based on smaller samples.
- Test hypotheses with powerful techniques like Z, t, chi-square, and ANOVA.
- Apply regression analysis and modeling to forecast trends based on past data.
- Employ multiple regression to build models that account for the influence of multiple variables.
Course Highlights
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19 Structured Lessons Comprehensive coverage of core course objectives
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20 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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403 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
19 Interactive Lessons · 95 topics01 Introduction 2 topics +
- Mathematics Is Always Optional!
- Learning with the Concept-Interpretation Approach
02 Fundamentals of Statistics 8 topics +
- The First Three Words of Statistics
- The Fourth and Fifth Words
- The Branches of Statistics
- Sources of Data
- Sampling Concepts
- Sample Selection Methods
- One-Minute Summary
- References
03 Presenting Data in Tables and Charts 5 topics · 7 LiveLab +
- Presenting Categorical Variables
- Presenting Numerical Variables
- “Bad” Charts
- One-Minute Summary
- References
7 LiveLab in this lesson — see the labs panel →
04 Descriptive Statistics 7 topics · 3 LiveLab +
- Measures of Central Tendency
- Measures of Position
- Measures of Variation
- Shape of Distributions
- Important Equations
- One-Minute Summary
- References
3 LiveLab in this lesson — see the labs panel →
05 Probability 6 topics · 1 LiveLab +
- Events
- More Definitions
- Some Rules of Probability
- Assigning Probabilities
- One-Minute Summary
- References
1 LiveLab in this lesson — see the labs panel →
06 Probability Distributions 7 topics · 3 LiveLab +
- Probability Distributions for Discrete Variables
- The Binomial and Poisson Probability Distributions
- Continuous Probability Distributions and the Normal Distribution
- The Normal Probability Plot
- Important Equations
- One-Minute Summary
- References
3 LiveLab in this lesson — see the labs panel →
07 Sampling Distributions and Confidence Intervals 8 topics · 1 LiveLab +
- Foundational Concepts
- Sampling Error and Confidence Intervals
- Confidence Interval Estimate for the Mean Using the t Distribution (σ Unknown)
- Confidence Interval Estimation for Categorical Variables
- Confidence Interval Estimation When Normality Cannot Be Assumed
- Important Equations
- One-Minute Summary
- References
1 LiveLab in this lesson — see the labs panel →
08 Fundamentals of Hypothesis Testing 7 topics +
- The Null and Alternative Hypotheses
- Hypothesis Testing Issues
- Decision-Making Risks
- Performing Hypothesis Testing
- Types of Hypothesis Tests
- One-Minute Summary
- References
09 Hypothesis Testing: Z and t Tests 6 topics · 1 LiveLab +
- Test for the Difference Between Two Proportions
- Test for the Difference Between the Means of Two Independent Groups
- The Paired t Test
- Important Equations
- One-Minute Summary
- References
1 LiveLab in this lesson — see the labs panel →
10 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA) 5 topics · 1 LiveLab +
- Chi-Square Test for Two-Way Tables
- One-Way Analysis of Variance (ANOVA): Testing fo...ferences Among the Means of More Than Two Groups
- Important Equations
- One-Minute Summary
- References
1 LiveLab in this lesson — see the labs panel →
11 Simple Linear Regression 8 topics · 1 LiveLab +
- Basics of Regression Analysis
- Developing a Simple Linear Regression Model
- Measures of Variation
- Inferences About the Slope
- Common Mistakes When Using Regression Analysis
- Important Equations
- One-Minute Summary
- References
1 LiveLab in this lesson — see the labs panel →
12 Multiple Regression 7 topics · 1 LiveLab +
- The Multiple Regression Model
- Coefficient of Multiple Determination
- The Overall F Test
- Residual Analysis for the Multiple Regression Model
- Inferences Concerning the Population Regression Coefficients
- One-Minute Summary
- References
1 LiveLab in this lesson — see the labs panel →
13 Introduction to Analytics 5 topics · 1 LiveLab +
- Basic Concepts
- Descriptive Analytics
- Typical Descriptive Analytics Visualizations
- One-Minute Summary
- References
1 LiveLab in this lesson — see the labs panel →
14 Predictive Analytics 7 topics +
- Predictive Analytics Methods
- More About Predictive Models
- Tree Induction
- Clustering
- Association Analysis
- One-Minute Summary
- References
15 Appendix A: Microsoft Excel Operation and Configuration 2 topics +
- Conventions for Keystroke and Mouse Operations
- Microsoft Excel Technical Configuration
16 Appendix B: Review of Arithmetic and Algebra 1 topics +
- Symbols
17 Appendix C: Statistical Tables +
18 Appendix D: Spreadsheet Tips 2 topics +
- Chart Tips
- Function Tips
19 Appendix E: Advanced Techniques 2 topics +
- Advanced How-To Tips
- Analysis ToolPak Tips
Hands-On Labs Our edge
20 LiveLabs- Creating a Bar Chart
- Creating a Pie Chart
- Creating a Pivot Table
- Modifying and Refreshing the Pivot Table
- Creating a Bar Chart
- Creating a Line Chart
- Creating a Scatter Plot
- Calculating Mean
- Calculating Median and Mode
- Calculating First Quartile
- Working with Probability
- Calculating the Value of a Normal Random Variable
- Using the Poisson Distribution
- Computing Binomial Probabilities
- Calculating the Confidence Interval
- Analyzing the Hypothesis Test for the Pooled-Variance t-Test
- Analyzing the Hypothesis Test for the Chi-Square Test
- Creating a Histogram
- Using Multiple Regression
- Creating a Sparkline
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
What is big data analytics?+
Big data analytics is the process of examining large columns of data to discover patterns, trends, and insights. It involves using advanced statistical techniques and machine learning algorithms to extract meaningful information from complex datasets.
Why is it important to learn statistics and analytics?+
Statistics and analytics for beginners are essential for making data-driven decisions in various fields such as business, finance, healthcare, and science.
What are the benefits of taking this course?+
By taking this course, you’ll gain hands-on experience in using statistical software and tools and pursue careers in data science, analytics, and related fields.
Will I need to buy additional software or tools for this course?+
No, you don’t need to purchase any additional software. This simple analytics and statistics learning course contains simulations and non-production virtual machines that can be assessed through your browser.
Develop Advanced Data and Statistical Skills
Get hands-on experience with big data analytics and statistical methods to solve real-world problems.
- 1 year of full access
- 20 LiveLab included
- Certificate of completion