30 Sections
30 Lessons
10 Weeks
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Introduction to Anaconda Installation, Notebook and Data Types
1
1.1
Introduction to Jupyter Notebook and Python Setup
6 Minutes
Fundamental of Pythons
1
2.1
Fundamentals of Basic Python
10 Minutes
Variables and Strings in Python
1
3.1
What are Variables and Strings Explained in Python
20 Minutes
Boolean Methods in Python
1
4.1
Boolean methods help in making logical decisions and formulating conditions
9 Minutes
Data Structure
1
5.1
Data Structure, Tuples,& Dictionaries in Python
22 Minutes
Append, Set, Insert and Remove Operation in Python
1
6.1
List Operations in Python
22 Minutes
Sort Function and Range Function in Python
1
7.1
How to define Sort Function and Range Function
5 Minutes
Loops
1
8.1
Defined Loops in Python
5 Minutes
Break, Continue, and Pass statements in Python
1
9.1
break, continue & pass Statements Explained in Python
10 Minutes
Funtions in Python
1
10.1
Introduction to Functions and built in Function in Python
14 Minutes
Funtions with Argument in Python
1
11.1
Functions with arguments, Variable Length Argument and Keyword Arguments
8 Minutes
Scope Variable and Global Variable in Python
1
12.1
Understanding Global and Local Scope in Python
8 Minutes
Prime number logic, control statements, functions, lambda, map, and filter in Python
1
13.1
Define of Prime Number, Lambda Function, Inline Function and Map Function in Python
28 Minutes
Comprehension of List and Dictionary in Python
1
14.1
How to define comprehension of list and dictionary
19 Minutes
Create an array by numpy
1
15.1
Introduction to NumPy Arrays
4 Minutes
Two and Three Dimensional array
1
16.1
What are 2D and 3D Arrays in Python
37 Minutes
Generate and Create a Random numbers in Python
1
17.1
How to Generate and Create a Random Numbers in Python
13 Minutes
Multiply Three Dimension Array, multiplication Operation and Matrix Multiplication in Python
1
18.1
What are Multiply of 3D array and Matrix-Multi Multiplication in Python
9 Minutes
Perform Exponential Operation
1
19.1
Introduction to Exponential Operations in NumPy
18 Minutes
Access Columns in Python
1
20.1
How to Access Columns in Python
10 Minutes
How to Create Your Own DataFrame in Python
1
21.1
What is a DataFrame?
12 Minutes
Reset Index and Set Index explained
1
22.1
Reset Index and Set Index in Python
7 Minutes
Create DataFrame and Imputation in Python
1
23.1
How to Create DataFrame and Imputation in Python
12 Minutes
GroupBy Operation, Function Application, Log, and Aggregation Functions in Python
1
24.1
GroupBy Operation and Function Application, Log, and Aggregation Functions in Python
27 Minutes
How to create inner join, outer join and pivot table
1
25.1
What are Inner Join, Outer Join, and Pivot Table in Python
8 Minutes
Histograms in Python
1
26.1
What is a Histogram?
7 Minutes
Univariate Analysis in Python
1
27.1
What is Univariate Analysis?
10 Minutes
Boxplot in Python
1
28.1
What is a Boxplot?
16 Minutes
Visualization tools, Ipl data Set, Categorical Column and Boolean Masking in Python
1
29.1
How to define Visualization Tools, Ipl Data Set , Categorical Columns and Boolean Masking?
24 Minutes
Define there a null values in a winner column?
1
30.1
Why are there a null values in a winner column?
50 Minutes
Data Analysis with Python
Curriculum
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