Python for Data Analysis
0 (0 Ratings)
Enrolled:31
$53
$80
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LevelBeginner
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Duration5 hours 30 minutes
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Last UpdatedNovember 13, 2023
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Enrollment validityEnrollment validity: 365 days
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CertificateCertificate of completion
Hi, Welcome back!
About Course
This comprehensive course introduces you to the world of data analysis using Python. Discover why Python has become a leading language in this field, with its strong community support, rich library ecosystem, ease of use, and interoperability. Whether you're a student, data analyst, scientist, or business professional, this course equips you with the skills to leverage libraries like NumPy, Pandas, Matplotlib, Plotly and Seaborn. From data cleaning and visualization to communicating insights, this course empowers you to excel in data analysis.
What will I learn?
- Learn core Python syntax, coding, and execution.
- Define variables and work with diverse data types.
- Perform operations on data using assignments.
- Take user input and create meaningful outputs.
- Explore arithmetic, comparison, and logical operators.
- Use conditional statements for decision-making.
- Define, call functions, and grasp their parameters.
- Master lists, dictionaries, and tuples for data storage.
- Utilize loops for iteration, with control statements.
- Learn Pandas, NumPy for data manipulation.
- Create plots charts and beautiful visuals using Matplotlib, Seaborn, and Plotly.
- Apply Python for large data analysis and decision-making.
Course Curriculum
Introduction to Python
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00:35
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06:28
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05:09
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Code Editor
06:38
Variables and Data Types
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Using Replit for Coding
08:01 -
Understanding Variables
08:01 -
Variable Types (String)
03:48 -
Variable Types (Integers)
00:00 -
Variable Type (Float)
03:16 -
Variable Type (Boolean)
04:56
Input Function and String Concatenation
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Input Functions
05:16 -
String Concatenation
05:51 -
Converting Data Types
08:45 -
Input Function Return Type
00:00 -
Task 1
01:31 -
Task 1 (Solution)
00:00
Python Operators
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Arithmetic Operator
04:59 -
Order of Operation
07:52 -
Comparison Operators
05:41 -
Logical Operators
04:54
Conditional Statements
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Conditional Statement
06:24 -
Conditional Statement – Exercise
08:27 -
Conditional Statement 2
00:00 -
Conditional Statement 3
00:00
Functions
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Functions
00:00 -
Functions with Parameters
00:00 -
Positional and Keyword Argument
00:00 -
Optional Parameters
00:00 -
Return Functions
00:00 -
Lesson Exercise
00:00 -
Function Exercise Solution
00:00
Lists
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List
00:00 -
Adding Items to a List
00:00 -
Removing Items from List
00:00 -
List Slicing
00:00 -
List Mutability
00:00 -
List Exercise
00:00 -
List Exercise Solution
00:00
Dictionary and Tuples
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Dictionary
00:00 -
Adding and Deleting from Dictionary
00:00 -
Nesting of Dictionary
00:00 -
Dictionary Mutability
00:00 -
Dictionary Exercise
00:00 -
Dictionary Exercise (Solution)
00:00 -
Tuples
00:00 -
Tuples Immutability
00:00 -
Set
00:00
Loops
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For Loops
00:00 -
While Loop
00:00 -
More on For Loop
00:00 -
Module Vs. Package
00:00 -
Random Module
00:00 -
DateTime
00:00
Anaconda Installation and Numpy
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DOWNLOAD ACCOMPANYING FILE & NOTE !
00:00 -
Anaconda Installation
00:00 -
Alternate Installation
00:00 -
Numpy I
00:00 -
Numpy II
00:00 -
Numpy III
00:00 -
Numpy Exercise
00:00 -
Numpy Exercise – Solution
00:00
Pandas
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DOWNLOAD ACCOMPANYING FILE !
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Pandas Series
00:00 -
Pandas DataFrame
00:00 -
Pandas Exercise
00:00 -
Pandas Exercise – Solution
00:00 -
NaN Values and Groupby
00:00 -
Combining DataFrame
00:00 -
Pandas Methods and Pivot Tables
00:00 -
Times Series
00:00 -
Time Series Exercise
00:00 -
Time Series Exercise – Solution
00:00 -
Reading Data
00:00
Pandas Exercise
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DOWNLOAD ACCOMPANYING FILE !
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Pandas Exercise
00:00 -
Pandas Exercise – Solution
00:00
Matplotlib
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DOWNLOAD ACCOMPANYING FILE !
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Matplotlib
00:00 -
Matplotlib – Introduction
00:00 -
Matplotlib Exercise
00:00 -
Matplotlib Exercise – Solution
00:00
Seaborn
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Seaborn Relationship Plot
00:00 -
Seaborn Distribution Plot
00:00 -
Seaborn Categorical Plot
00:00 -
Seaborn Regression Plot
00:00 -
Seaborn Multi-Plot Grid
00:00 -
Seaborn Figure Theming
00:00 -
Seaborn Color Palette
00:00 -
Seaborn Matrix Plot
00:00
Seaborn exercise
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DOWNLOAD ACCOMPANYING FILE !
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Seaborn Exercise
00:00 -
Seaborn Exercise – Solution
00:00
Plotting with Pandas
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DOWNLOAD ACCOMPANYING FILE !
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Plotting with Pandas
00:00 -
Plotting with Pandas Exercise
00:00 -
Plotting with Pandas Exercise – Solution
00:00
Plotly Express
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DOWNLOAD ACCOMPANYING FILE !
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Plotly Express
00:00 -
Plotly Express Exercise
00:00 -
Plotly Express Exercise – Solution
00:00
CAPSTONE PROJECT
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Superstore Data Analysis with Python
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