Introduction to Statistics

o o What is Statistics ?

o o Population and Sample

o o Measures of Central Tendency

o o Mean (Average)

o o Mode

o o Quartile

o o Standard Deviation


Probability Distributions

o o Introduction to Probability

o o Conditional Probability

o o Normal Distribution

o o Uniform Distribution

o o Exponential Distribution

o o Skewed Distribution

o o Random Distribution

o o Central Limit Theorem


Hypothesis Testing

o o Normality Test

o o P Value

o o T-Test

o o Z – Test

o o ANOVA Test

o o Pearson’s Chi-Square Test

o o Variance, Covariance, and Correlation


Numpy Package

o o Difference Between List and Numpy Array

o o Vector and Matrix Operations

o o Array Indexing and Slicing

Panda Package

o o Introduction to Pandas

o o Label Encoding in Python

o o Series and Dataframe

How to Load Datasets

o o From Excel/Spreadsheet

o o From CSV

o o From HTML Table

Accessing Data from Dataframe

o o at and iat

o o loc and iloc

o o head() and tail()

Exploratory Data Analysis (EDA)

o o describe()

o o groupby()

o o crosstab()

o o boolean slicing / query()

Data Manipulation & Cleaning

o o Map () , Apply ()

o o Combining Data Frames

o o Adding Removing Rows and Column

o o Sorting Data

o o Handling Missing Values

o o Handling Duplicacy

o o Handling Data Error

Categorical Data Encoding

o o Label Encoding

o o One Hot Encoding

o o Handling Date and Time

Data Visualization using matplotlib and seaborn packages

o o Scatter Plot, Line Plot, Bar Plot

o o Histogram(Bar), Pie Chart

o o Jointplot, Pairplot, Heatmap

o o Outlier Detection using Boxplot

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