Data Analysis for Business
- Offered byCoursera
Data Analysis for Business at Coursera Overview
Duration | 26 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Analysis for Business at Coursera Highlights
- Earn a certificate after completion of the course
- Assessment and quizzes
- Financial aid available
Data Analysis for Business at Coursera Course details
- The Data Science in Business course equips participants with the tools and techniques to leverage data for informed decision-making in the corporate world. Covering data analysis, and data-driven strategies, this course empowers individuals to extract valuable insights, enhance business processes, and drive strategic initiatives through data-driven approaches
- Combining theoretical foundations with hands-on applications, learners will be well-prepared to navigate the intersection of data science and business analytics.
Data Analysis for Business at Coursera Curriculum
Introduction to Data Analysis
Information, Database and Statistics
Types of Variable and Measurement Scales
Types and Sources of Data
Types of Data Analysis
Example in Excel of a Database Construction
My Bio
Syllabus
Week 1 - Slide deck
Statistics and its role in business
Data, data analysis, and descriptive statistics
Information, database and statistic
Types of data
Data Analysis
Types of variables
Database construction
Why being data-driven is so important?
Organizing and Visualizing Data
Tables
Charts for Categorical Variables
Charts for Numerical Variables - Part 1
Charts for Numerical Variables - Part 2
Other Types of Chart and the Pitfalls of DCOVA
Excel Example
Recording of Data Analysis for Business Live Session on 22-03-17 20:07:20 [21:09]
Week 2 - Slide deck
Week 2 reading: Data Visualization
Pitfalls of DCOVA
Tables
Chart
Numerical Charts
What is a good data visualization?
Descriptive measures: univariate and bivariate
Measures of Central Tendency
Measures of Variation and Shape
Skewness and Kurtosis
Quartiles and Percentiles
Boxplot
Population and Sample
Covariance and Correlation
Excel Example
Week 3 - Slide deck
Week 3 reading: Descriptive Measures
Boxplot
Population and sample
Central Tendency
Shape
Assigment 2
Sampling
Statistical Inference
Probability Basics for Inferential Statistics
Main probability distributions: uniform, binomial, Poisson, normal, and exponential
Sampling and Confidence Interval
Confidence Interval for the Mean
Hypothesis Testing Fundamentals
T and Z Test for the Mean
Recording of Data Analysis for Business Live Session on 22-03-31 20:01:35 [04:00]
Week 4 - Slide deck
Probability Fundamentals
Probability fundamentals - part 2
Confidence Interval
Hypothesis testing
Confidence Interval
Hypothesis testing
Probability
Probability
Predictive vs. Analytics
Regression Analysis
Linear Models and Regressions
Measures of Variation and Coefficient of Determination
Regression Assumptions
Point and Interval Estimates
Multiple Regression Model
Evaluating Multiple Regression Models
Excel example
Qualitative Variables in Multiple Regressions
Week 5 - Slide deck
Week 5 reading: Linear Models and Regression Analysis
Causation and correlation
OLS - Ordinary Least Squares
Multiple Regression
Dummies
Assigment 3
How linear models could predict real life?
Data Analysis for Business at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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