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9.9 LIMIT, OFFSET
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9.10 ORDER BY
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9.12 WHERE, COMPARISON OPERATORS, NULL
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9.13 Logical Operators
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9.14 Aggregate Functions: COUNT, MIN, MWX, AVG, SUM
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9.17 ORDER OF KEYWORDS
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9.18 Join and Natural Join
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9.19 Inner, Left, Right and Outer joins
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9.20 Sub Queries/Nested Queries/Inner Queries
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9.21 DML: Insert
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9.22 DML:UPDATE, DELETE
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9.23 DDL: CREATE TABLE
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9.24 DDL: ALTER: ADD, MODIFY, DROP
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9.25 DDL: DROP TABLE, TRUNCATE, DELETE
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9.26 Data Control Language: Grant, Revoke
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9.27 - Learning resources
#Module 10 : Plotting for exploratory data analysis (EDA)
Section 10 is divided into sub sections
👉 10.1 Introduction to IRIS dataset and 2D scatter plot
👉 10.2 3D scatter plot
👉 10.3 Pair plots
👉 10.4 Limitations of Pair Plots
👉 10.5 Histogram and Introduction to PDF(Probability Density Function)
👉 10.6 Univariate Analysis using PDF
👉 10.7 CDF(Cumulative Distribution Function)
👉 10.8 Mean, Variance and Standard Deviation
👉 10.9 Median
👉 10.10 Percentiles and Quantiles
👉 10.11 IQR(Inter Quartile Range) and MAD(Median Absolute Deviation)
👉 10.12 Box-plot with Whiskers
👉 10.13 Violin Plots
👉 10.14 Summarizing Plots, Univariate, Bivariate and Multivariate analysis
👉 10.15 Multivariate Probability Density, Contour Plot
👉 10.16 Assignment-1: Data Visualization with Haberman Dataset
Section 10 is divided into sub sections
👉 10.1 Introduction to IRIS dataset and 2D scatter plot
👉 10.2 3D scatter plot
👉 10.3 Pair plots
👉 10.4 Limitations of Pair Plots
👉 10.5 Histogram and Introduction to PDF(Probability Density Function)
👉 10.6 Univariate Analysis using PDF
👉 10.7 CDF(Cumulative Distribution Function)
👉 10.8 Mean, Variance and Standard Deviation
👉 10.9 Median
👉 10.10 Percentiles and Quantiles
👉 10.11 IQR(Inter Quartile Range) and MAD(Median Absolute Deviation)
👉 10.12 Box-plot with Whiskers
👉 10.13 Violin Plots
👉 10.14 Summarizing Plots, Univariate, Bivariate and Multivariate analysis
👉 10.15 Multivariate Probability Density, Contour Plot
👉 10.16 Assignment-1: Data Visualization with Haberman Dataset