×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Data analysis in Python

Course Reviews

Track :

Programming
Course Presenter :

Data School

Lessons no : 38

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master data collection, cleaning, and preprocessing techniques using Python libraries like pandas and NumPy
  • Perform data manipulation, filtering, grouping, and summarization for large datasets in Python
  • Create insightful data visualizations with Matplotlib and Seaborn to communicate findings effectively
  • Apply statistical analysis methods to interpret data and identify significant patterns or trends
  • Utilize Jupyter Notebook for interactive data analysis and reproducible research workflows
  • Handle missing data and outliers to improve data quality and analysis accuracy
  • Generate meaningful charts and graphs to support data-driven decision-making processes
  • Analyze sales, survey, and business performance data to extract actionable insights
  • Summarize complex datasets to facilitate clear understanding and reporting
  • Make informed conclusions based on statistical and visual data analysis techniques
  • Develop skills to perform real-world data analysis tasks across various industries
  • Build confidence in using Python for comprehensive data analysis and visualization

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 38
What is pandas Introduction to the Q A series
00:06:25

What is pandas Introduction to the Q A series
How do I read a tabular data file into pandas
00:08:55

How do I read a tabular data file into pandas
How do I select a pandas Series from a DataFrame
00:11:11

How do I select a pandas Series from a DataFrame
Why do some pandas commands end with parentheses and others don t
00:08:46

Why do some pandas commands end with parentheses and others don t
How do I rename columns in a pandas DataFrame
00:09:37

How do I rename columns in a pandas DataFrame
How do I remove columns from a pandas DataFrame
00:06:36

How do I remove columns from a pandas DataFrame
How do I sort a pandas DataFrame or a Series
00:08:57

How do I sort a pandas DataFrame or a Series
How do I filter rows of a pandas DataFrame by column value
00:13:45

How do I filter rows of a pandas DataFrame by column value
How do I apply multiple filter criteria to a pandas DataFrame
00:09:52

How do I apply multiple filter criteria to a pandas DataFrame
Your pandas questions answered
00:09:07

Your pandas questions answered
How do I use the axis parameter in pandas
00:08:34

How do I use the axis parameter in pandas
How do I use string methods in pandas
00:06:17

How do I use string methods in pandas
How do I change the data type of a pandas Series
00:07:29

How do I change the data type of a pandas Series
When should I use a groupby in pandas
00:08:25

When should I use a groupby in pandas
How do I explore a pandas Series
00:09:51

How do I explore a pandas Series
How do I handle missing values in pandas
00:14:28

How do I handle missing values in pandas
What do I need to know about the pandas index Part 1
00:13:37

What do I need to know about the pandas index Part 1
What do I need to know about the pandas index Part 2
00:10:38

What do I need to know about the pandas index Part 2
How do I select multiple rows and columns from a pandas DataFrame
00:21:47

How do I select multiple rows and columns from a pandas DataFrame
When should I use the inplace parameter in pandas
00:10:19

When should I use the inplace parameter in pandas
How do I make my pandas DataFrame smaller and faster
00:19:06

How do I make my pandas DataFrame smaller and faster
How do I use pandas with scikit learn to create Kaggle submissions
00:13:26

How do I use pandas with scikit learn to create Kaggle submissions
More of your pandas questions answered
00:19:24

More of your pandas questions answered
How do I create dummy variables in pandas
00:13:14

How do I create dummy variables in pandas
How do I work with dates and times in pandas
00:10:21

How do I work with dates and times in pandas
How do I find and remove duplicate rows in pandas
00:09:48

How do I find and remove duplicate rows in pandas
How do I avoid a SettingWithCopyWarning in pandas
00:13:30

How do I avoid a SettingWithCopyWarning in pandas
How do I change display options in pandas
00:14:56

How do I change display options in pandas
How do I create a pandas DataFrame from another object
00:14:26

How do I create a pandas DataFrame from another object
How do I apply a function to a pandas Series or DataFrame
00:17:58

How do I apply a function to a pandas Series or DataFrame
How do I use the MultiIndex in pandas
00:25:01

How do I use the MultiIndex in pandas
How do I merge DataFrames in pandas
00:21:49

How do I merge DataFrames in pandas
4 new time saving tricks in pandas
00:14:51

4 new time saving tricks in pandas
5 new changes in pandas you need to know about
00:20:55

5 new changes in pandas you need to know about
My top 25 pandas tricks
00:27:38

My top 25 pandas tricks
21 more pandas tricks
00:24:40

21 more pandas tricks
Data Science Best Practices with pandas PyCon 2019
01:44:17

Data Science Best Practices with pandas PyCon 2019
Your pandas questions answered webcast
01:56:02

Your pandas questions answered webcast

Recommended Courses



Data Analysis In Python
22 Lessons

Data Analysis In Python

Data Analysis in Python with Dask
8 Lessons

Data Analysis in Python with Dask



We Appreciate Your Feedback

Excellent
20 Reviews
Good
13 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
4.6
33 Reviews
DEIVY JULIAN VALENCIA C.C. 1125271495 

.
2025-12-03

Rafiullah 

thanks
2025-11-13

Zeel Vaghela 

it was nice learning with you
2025-11-12

Prateek BiSht 

BHOOT AACHA
2025-11-11

Shreya Patel 

good
2025-11-07

Bhavsar Umang Hitendrakumar 

good
2025-11-06

Maiz Shaikh 

very helpful
2025-11-05

Mahesh 

learn a lot
2025-10-25

BONNY PATEL 

It's an amazing course. As a student, i can easily understand the concept.
2025-10-10

Basmala Ahmed Abdelmonam Ahmed 

It's so helpfull
2025-10-04

kush 

That's a great teachers
2025-09-27

Winnifred Mgbonye 

The lesson was really helpful.
2025-09-25

Show More Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

React Projects Workshops
33 Lessons

React Projects Workshops

Node js back end JavaScript
34 Lessons

Node js back end JavaScript

Python programming language
15 Lessons

Python programming language

Social Network Theme UI With Sass
4 Lessons

Social Network Theme UI With Sass

Full Stack React Django
7 Lessons

Full Stack React Django

Build a Node js App With Sequelize
3 Lessons

Build a Node js App With Sequelize

GraphQL With React Apollo
4 Lessons

GraphQL With React Apollo

Node js REST API With Restify Mongoose JWT
2 Lessons

Node js REST API With Restify Mongoose JWT

Full Stack Vue js Express MongoDB
3 Lessons

Full Stack Vue js Express MongoDB

Exploring Docker
3 Lessons

Exploring Docker

Responsive Portfolio Website
7 Lessons

Responsive Portfolio Website

The MERN Stack
12 Lessons

The MERN Stack

PHP REST API High level
3 Lessons

PHP REST API High level

Up unning With Symfony 4
3 Lessons

Up unning With Symfony 4

JavaScript Workshops
3 Lessons

JavaScript Workshops

PHP MySQL Stripe API Payment App
3 Lessons

PHP MySQL Stripe API Payment App

Data analysis in Python, in this course we will learn about data analysis using Python, focusing on how to collect, clean, manipulate, and visualize data to uncover valuable insights. You will get hands-on experience with essential Python libraries such as pandas for data manipulation, NumPy for numerical computing, Matplotlib and Seaborn for data visualization, and Jupyter Notebook for interactive analysis. The course covers importing datasets, handling missing data, filtering and grouping, statistical analysis, and creating meaningful charts and graphs. You’ll also learn to summarize large datasets, draw conclusions, and make data-driven decisions. Whether you're analyzing sales data, survey results, or business performance, this course equips you with the practical skills to perform real-world data analysis. No prior experience required—just basic Python knowledge. Join now and start analyzing data with confidence. Data School