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.
This week, you’ll learn the impact of data analysis and its elements on business. Also, the diferences of variables, measurement scales and types of data analysis.
涵盖的内容
5个视频5篇阅读材料4个作业1个讨论话题
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5个视频•总计24分钟
Information, Database and Statistics•7分钟
Types of Variable and Measurement Scales•5分钟
Types and Sources of Data•5分钟
Types of Data Analysis•3分钟
Example in Excel of a Database Construction•5分钟
5篇阅读材料•总计127分钟
My Bio•2分钟
Syllabus•10分钟
Week 1 - Slide deck•45分钟
Introduction•30分钟
Data, data analysis, and descriptive statistics•40分钟
4个作业•总计45分钟
Information, database and statistic•10分钟
Types of data•10分钟
Data Analysis•15分钟
Types of variables•10分钟
1个讨论话题•总计10分钟
Why being data-driven is so important?•10分钟
Organizing and Visualizing Data
第 2 单元•小时 后完成
单元详情
This week, you’ll learn how to tell something through data. Managing data in graphs and tables, and the principals pitfalls about data visualization.
涵盖的内容
7个视频2篇阅读材料4个作业1个讨论话题
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7个视频•总计62分钟
Tables•7分钟
Charts for Categorical Variables•4分钟
Charts for Numerical Variables - Part 1•2分钟
Charts for Numerical Variables - Part 2•2分钟
Other Types of Chart and the Pitfalls of DCOVA•7分钟
Excel Example•5分钟
Recording of Data Analysis for Business Live Session on 22-03-17 20:07:20 [21:09]•35分钟
2篇阅读材料•总计135分钟
Week 2 - Slide deck•45分钟
Week 2 reading: Data Visualization •90分钟
4个作业•总计45分钟
Pitfalls of DCOVA•15分钟
Tables•10分钟
Chart•10分钟
Numerical Charts•10分钟
1个讨论话题•总计10分钟
What is a good data visualization?•10分钟
Descriptive measures: univariate and bivariate
第 3 单元•小时 后完成
单元详情
This week, you’ll learn how to deal with data and how to describe data in terms of some parameters: the differences between dispersion and central tendcy measures.
涵盖的内容
8个视频2篇阅读材料4个作业1个讨论话题
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8个视频•总计30分钟
Measures of Central Tendency•5分钟
Measures of Variation and Shape•5分钟
Skewness and Kurtosis•2分钟
Quartiles and Percentiles•3分钟
Boxplot•1分钟
Population and Sample•3分钟
Covariance and Correlation•3分钟
Excel Example•7分钟
2篇阅读材料•总计120分钟
Week 3 - Slide deck•45分钟
Week 3 reading: Descriptive Measures•75分钟
4个作业•总计55分钟
Boxplot•15分钟
Population and sample•15分钟
Central Tendency•15分钟
Shape•10分钟
1个讨论话题•总计10分钟
Sampling•10分钟
Statistical Inference
第 4 单元•小时 后完成
单元详情
In this week you will see some probability principles which are linked with datasets and data visualization. Also, statistical principles which are applied in data analysis.
涵盖的内容
7个视频5篇阅读材料4个作业1个讨论话题
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7个视频•总计85分钟
Probability Basics for Inferential Statistics•9分钟
Main probability distributions: uniform, binomial, Poisson, normal, and exponential•11分钟
Sampling and Confidence Interval•5分钟
Confidence Interval for the Mean•10分钟
Hypothesis Testing Fundamentals•5分钟
T and Z Test for the Mean•19分钟
Recording of Data Analysis for Business Live Session on 22-03-31 20:01:35 [04:00]•25分钟
5篇阅读材料•总计225分钟
Week 4 - Slide deck•45分钟
Probability Concepts and their analysis•30分钟
Probability fundamentals - part 2•30分钟
Sampling and Confidence Interval•90分钟
Hypothesis testing•30分钟
4个作业•总计55分钟
Confidence Interval•10分钟
Hypothesis testing•20分钟
Probability•15分钟
Probability•10分钟
1个讨论话题•总计10分钟
Predictive vs. Analytics•10分钟
Regression Analysis
第 5 单元•小时 后完成
单元详情
In this week you will see topics in linear regressions. Regression analysis is used to investigate the relationship between two or more variables. Often used in predicting some characteristic using one or more independent variables .
涵盖的内容
8个视频2篇阅读材料4个作业1个讨论话题
显示有关单元内容的信息
8个视频•总计45分钟
Linear Models and Regressions•8分钟
Measures of Variation and Coefficient of Determination•4分钟
Regression Assumptions•4分钟
Point and Interval Estimates•5分钟
Multiple Regression Model•4分钟
Evaluating Multiple Regression Models•6分钟
Excel example•5分钟
Qualitative Variables in Multiple Regressions•8分钟
2篇阅读材料•总计120分钟
Week 5 - Slide deck•45分钟
Week 5 reading: Linear Models and Regression Analysis•75分钟
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