-
-
-
Python Objects, Numbers & Booleans, Strings, Container objects, Mutability of objects Concept of Packages/Libraries – Important packages (Pandas, NumPy, SciPy, Scikit-learn, Seaborn, Matplotlib)
-
Operators – Arithmetic, Bitwise, Comparison and Assignment Operators
-
Conditions
-
Loops
-
Break and Continue Statement
-
Range Functions
-
-
-
-
-
-
-
Introduction exploratory data analysis
-
Descriptive statistics, Frequency Tables and summarization
-
Univariate Analysis (Distribution of data & Graphical Analysis)
-
Bivariate Analysis (Cross Tabs, Distributions & Relationships, Graphical Analysis)
-
Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density etc)
-
Important Packages for Exploratory Analysis (NumPy Arrays, Matplotlib, seaborn, Pandas and SciPy. stats etc)
-
-
-
-
-
-
-
-
-
-
-
-
This content is protected, please login and enroll course to view this content!
Categorical Data
Categorical Data
Cleansing Data with Python
Cleansing Data with Python