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DV-TECH221.AE1
TECH221: Data-Driven Decision-Making
Beginner Self-paced · 1 year access
72 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
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01 / Lessons & labs
See exactly what you will learn and practice
Lessons
27 Interactive Lessons · 122 topics01 Today's Data Analyst 7 topics · 1 LiveLab +
- Welcome to the World of Analytics
- Careers in Analytics
- The Analytics Process
- Analytics Techniques
- Data Governance
- Analytics Tools
- Summary
1 LiveLab in this lesson — see the labs panel →
02 Understanding Data 5 topics · 3 LiveLab +
- Exploring Data Types
- Common Data Structures
- Common File Formats
- Summary
- Exam Essentials
3 LiveLab in this lesson — see the labs panel →
03 Databases and Data Acquisition 6 topics · 8 LiveLab +
- Exploring Databases
- Database Use Cases
- Data Acquisition Concepts
- Working with Data
- Summary
- Exam Essentials
8 LiveLab in this lesson — see the labs panel →
04 Data Quality 5 topics · 3 LiveLab +
- Data Quality Challenges
- Data Manipulation Techniques
- Managing Data Quality
- Summary
- Exam Essentials
3 LiveLab in this lesson — see the labs panel →
05 Data Analysis and Statistics 6 topics · 2 LiveLab +
- Fundamentals of Statistics
- Descriptive Statistics
- Inferential Statistics
- Analysis Techniques
- Summary
- Exam Essentials
2 LiveLab in this lesson — see the labs panel →
06 Data Analytics Tools 7 topics · 4 LiveLab +
- Spreadsheets
- Programming Languages
- Statistics Packages
- Machine Learning
- Analytics Suites
- Summary
- Exam Essentials
4 LiveLab in this lesson — see the labs panel →
07 Data Visualization with Reports and Dashboards 7 topics · 3 LiveLab +
- Understanding Business Requirements
- Understanding Report Design Elements
- Understanding Dashboard Development Methods
- Exploring Visualization Types
- Comparing Report Types
- Summary
- Exam Essentials
3 LiveLab in this lesson — see the labs panel →
08 Data Governance 4 topics · 1 LiveLab +
- Data Governance Concepts
- Understanding Master Data Management
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
09 The Art and Science of Business Statistics 4 topics · 2 LiveLab +
- Representing the Key Properties of Data
- Probability: The Foundation of All Statistical Analysis
- Using Sampling Techniques and Sampling Distributions
- Statistical Inference: Drawing Conclusions from Data
2 LiveLab in this lesson — see the labs panel →
10 Pictures Tell the Story: Graphical Representations of Data 3 topics · 9 LiveLab +
- Analyzing the Distribution of Data by Class or Category
- Histograms: Getting a Picture of Frequency Distributions
- Checking Out Other Useful Graphs
9 LiveLab in this lesson — see the labs panel →
11 Finding a Happy Medium: Identifying the Center of a Data Set 4 topics · 8 LiveLab +
- Looking at Methods for Finding the Mean
- Getting to the Middle of Things: The Median of a Data Set
- Comparing the Mean and Median
- Discovering the Mode: The Most Frequently Repeated Element
8 LiveLab in this lesson — see the labs panel →
12 Searching High and Low: Measuring Variation in a Data Set 3 topics · 5 LiveLab +
- Determining Variance and Standard Deviation
- Finding the Relative Position of Data
- Measuring Relative Variation
5 LiveLab in this lesson — see the labs panel →
13 Measuring How Data Sets Are Related to Each Other 2 topics · 3 LiveLab +
- Understanding Covariance and Correlation
- Interpreting the Correlation Coefficient
3 LiveLab in this lesson — see the labs panel →
14 Probability Theory: Measuring the Likelihood of Events 4 topics · 7 LiveLab +
- Working with Sets
- Betting on Uncertain Outcomes
- Looking at Types of Probabilities
- Following the Rules: Computing Probabilities
7 LiveLab in this lesson — see the labs panel →
15 Probability Distributions and Random Variables 3 topics · 3 LiveLab +
- Defining the Role of the Random Variable
- Assigning Probabilities to a Random Variable
- Characterizing a Probability Distribution with Moments
3 LiveLab in this lesson — see the labs panel →
16 The Binomial, Geometric, and Poisson Distributions 3 topics · 4 LiveLab +
- Looking at Two Possibilities with the Binomial Distribution
- Determining the Probability of the Outcome That Occurs First: Geometric Distribution
- Keeping the Time: The Poisson Distribution
4 LiveLab in this lesson — see the labs panel →
17 The Uniform and Normal Distributions: So Many Possibilities! 3 topics · 5 LiveLab +
- Comparing Discrete and Continuous Distributions
- Working with the Uniform Distribution
- Understanding the Normal Distribution
5 LiveLab in this lesson — see the labs panel →
18 Sampling Techniques and Distributions 3 topics · 3 LiveLab +
- Sampling Techniques: Choosing Data from a Population
- Sampling Distributions
- The Central Limit Theorem
3 LiveLab in this lesson — see the labs panel →
19 Confidence Intervals and the Student’s t-Distribution 1 topics · 2 LiveLab +
- Almost Normal: The Student’s t-Distribution
2 LiveLab in this lesson — see the labs panel →
20 Testing Hypotheses about the Population Mean 1 topics · 3 LiveLab +
- Applying the Key Steps in Hypothesis Testing for a Single Population Mean
3 LiveLab in this lesson — see the labs panel →
21 Testing Hypotheses about Multiple Population Means 2 topics · 1 LiveLab +
- Getting to Know the F-Distribution
- Using ANOVA to Test Hypotheses
1 LiveLab in this lesson — see the labs panel →
22 Testing Hypotheses about the Population Mean 4 topics · 1 LiveLab +
- Staying Positive with the Chi-Square Distribution
- Testing Hypotheses about the Population Variance
- Practicing the Goodness of Fit Tests
- Testing Hypotheses about the Equality of Two Population Variances
1 LiveLab in this lesson — see the labs panel →
23 Simple Regression Analysis 6 topics · 3 LiveLab +
- The Fundamental Assumption: Variables Have a Linear Relationship
- Defining the Population Regression Equation
- Estimating the Population Regression Equation
- Testing the Estimated Regression Equation
- Using Statistical Software
- Assumptions of Simple Linear Regression
3 LiveLab in this lesson — see the labs panel →
24 Multiple Regression Analysis: Two or More Independent Variables 3 topics · 2 LiveLab +
- The Fundamental Assumption: Variables Have a Linear Relationship
- Estimating a Multiple Regression Equation
- Checking for Multicollinearity
2 LiveLab in this lesson — see the labs panel →
25 Forecasting Techniques: Looking into the Future 6 topics · 1 LiveLab +
- Defining a Time Series
- Modeling a Time Series with Regression Analysis
- Forecasting a Time Series
- Changing with the Seasons: Seasonal Variation
- Implementing Smoothing Techniques
- Comparing the Forecasts of Different Models
1 LiveLab in this lesson — see the labs panel →
26 Ten Common Errors That Arise in Statistical Analysis 10 topics +
- Designing Misleading Graphs
- Drawing the Wrong Conclusion from a Confidence Interval
- Misinterpreting the Results of a Hypothesis Test
- Placing Too Much Confidence in the Coefficient of Determination (R2)
- Assuming Normality
- Thinking Correlation Implies Causality
- Drawing Conclusions from a Regression Equation when the Data do not Follow the Assumptions
- Including Correlated Variables in a Multiple Regression Equation
- Placing Too Much Confidence in Forecasts
- Using the Wrong Distribution
27 Ten Key Categories of Formulas for Business Statistics 10 topics +
- Summary Measures of a Population or a Sample
- Probability
- Discrete Probability Distributions
- Continuous Probability Distributions
- Sampling Distributions
- Confidence Intervals for the Population Mean
- Testing Hypotheses about Population Means
- Testing Hypotheses about Population Variances
- Using Regression Analysis
- Forecasting Techniques
Hands-On Labs Our edge
72 LiveLabs- Understanding Data Analytics Techniques
- Understanding Data Types
- Identifying Categories of Data
- Understanding Common Data Structures
- Creating a Data Model through ERD
- Normalizing Data from 2NF to 3NF
- Normalizing Data from 1NF to 2NF
- Normalizing Unnormalized Data to 1NF
- Sorting Data
- Removing Unnecessary Data
- Updating Existing Data
- Retrieving Specific Data
- Eliminating Redundant Data
- Concatenating Data
- Understanding Data Quality
- Performing Data Analysis
- Understanding Descriptive Statistics
- Saving Data in Excel
- Representing Data
- Analyzing Data Using Python
- Identifying SQL Commands in Data Analytics
- Visualizing Data Using a Line Chart
- Visualizing Data Using a Histogram
- Visualizing Data Using a Bar Chart
- Understanding Laws in Data Governance
- Visualizing the Temperature Fluctuations
- Visualizing Exam Grades Distribution
- Exploiting a Website Using SQL Injection
- Calculating the Relative Frequency
- Figuring the Class Width
- Calculating the Cumulative Frequency
- Illustrating a Cumulative Frequency
- Illustrating a Relative Frequency
- Illustrating a Frequency Distribution
- Representing Fluctuations of Gold Price
- Draw a scatter chart using the calculated XY coo...he given equation y=x-1, where -2 < x < 2.
- Calculating the Arithmetic Mean
- Calculating the Geometric Mean
- Calculating the Weighted Geometric Mean
- Calculating the Weighted Arithmetic Mean
- Calculating the Median
- Representing Positively Skewed Data Set
- Representing Negatively Skewed Data Set
- Representing Symmetrical Data Set
- Finding Sample Variance and Sample Standard Deviation
- Calculating Population Variance and Standard Deviation
- Calculating Percentiles
- Finding Quartiles
- Finding Coefficient of Variation
- Finding Sample Covariance
- Calculating the Sample Covariance
- Finding Population Covariance and Correlation Coefficient
- Performing Set Operations
- Looking at Types of Probabilities
- Finding Unconditional Probabilities
- Finding Joint Probabilities
- Finding the Conditional Probability
- Calculating the Multiplication Rule
- Calculating the Complement Rule
- Calculating the Probability Distribution
- Calculating the Expected Value
- Calculating the Binomial Probability
- Representing the Binomial Distribution
- Calculating Geometric Probabilities
- Computing Poisson Probabilities
- Representing the Discrete Distribution
- Uniform Distribution: Computing Variance and Standard Deviation
- Calculating the Expected Value
- Computing Uniform Probabilities with Formulas
- Portraying Sampling Distributions Graphically
- Calculating the Moments a Sampling Distribution
- Converting Random Variable into a Standard Normal Random Variable
- Calculating the Variance of a t-distribution
- Determining the Two-Tailed Hypothesis Test
- Determining the Test Statistic
- Calculating the Error Sum of Squares (SSE)
- Testing Hypotheses about the Population Variance
- Calculating Total Sum of Squares (TSS)
- Calculating Coefficients and Predicting Sales Revenue in Simple Linear Regression
- Analyzing User Growth Trends
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