Practical Statistics For Business and Data Science
In the course, we will cover all the foundational concepts needed to begin your journey in data science, and business analytics and learn the concepts and techniques required to use statistics effectively to make better decisions.
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Segment 00 - Message from Instructor
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Segment 1 - Mean average
Segment 2 - Median average
Segment 3 - Mode average
Segment 4 - Comparing averages
Segment 5 - Quantiles, range and IQR
Segment 6 - Standard deviation and variance
Segment 7 - Coefficient of variation
Segment 8 - Skew
Segment 9 - Kurtosis
Segment 10 - Correlation
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Segment 11 - Anomalies and outliers
Segment 12 - Coding data
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Segment 13 - Line graphs
Segment 14 - bar charts
Segment 15 - dual axis charts
Segment 16 - pie charts
Segment 17 - histograms
Segment 18 - box plots
Segment 19 - cumulative frequency
Segment 20 - comparing visualizations
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Segment 21 - populations and samples
Segment 22 - Random sampling 1
Segment 23 - non random sampling
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Segment 24 - what is probability
Segment 25 - independent events
Segment 26 - mutually exclusive events
Segment 27 - tree diagrams
Segment 28 - venn diagrams
Segment 29 - conditional probability
Segment 30 - set notation
Segment 31 - bayes theorem