Data Analysis In Python Course

22 Lessons
44 Students
Certificate of completion

Track:

Programming

Data Analysis with Python is delivered through lecture, hands-on labs, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets.

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

What You'll Learn

Master data manipulation using Pandas DataFrames for efficient analysis and reporting in Python
Perform numerical computations with Numpy multi-dimensional arrays for complex data analysis tasks
Apply SciPy libraries to perform statistical analysis, optimization, and scientific computing in Python
Utilize Python for cleaning, transforming, and preprocessing datasets for accurate insights
Implement data visualization techniques to communicate findings effectively using Python tools
Analyze large datasets to identify patterns, trends, and correlations with Python libraries
Develop automated data analysis workflows to improve efficiency and reproducibility in Python
Solve real-world data problems by applying Python-based data analysis techniques and libraries
Interpret and present data insights clearly to support data-driven decision-making processes
Enhance data analysis skills for careers in data science, analytics, and research using Python

Course Content

22 Lessons • 4 h 32 m total

Python Pandas Tutorial 1 What is Pandas python Introduction and Installation

9:23

Python Pandas Tutorial 2 Dataframe Basics

20:58

Python Pandas Tutorial 3 Different Ways Of Creating DataFrame

7:40

Python Pandas Tutorial 4 Read Write Excel CSV File

27:03

Python Pandas Tutorial 5 Handle Missing Data fillna dropna interpolate

22:07

Python Pandas Tutorial 6 Handle Missing Data replace function

13:21

Python Pandas Tutorial 7 Group By Split Apply Combine

10:34

Python Pandas Tutorial 8 Concat Dataframes

15:14

Python Pandas Tutorial 9 Merge Dataframes

7:41

Python Pandas Tutorial 10 Pivot table

11:26

Python Pandas Tutorial 11 Reshape dataframe using melt

5:16

Python Pandas Tutorial 12 Stack Unstack

5:53

Python Pandas Tutorial 13 Crosstab

9:35

Python Pandas Tutorial 14 Read Write Data From Database read sql to sql

12:14

Pandas Time Series Analysis Part 1 DatetimeIndex and Resample

10:24

Pandas Time Series Analysis Part 2 date range

13:46

Pandas Time Series Analysis 3 Holidays

14:24

Pandas Time Series Analysis 4 to datetime

7:24

Pandas Time Series Analysis 5 Period and PeriodIndex

21:38

Pandas Time Series Analysis 6 Timezone Handling

13:05

Pandas Time Series Analysis 6 Shifting and Lagging

7:51

Python Pandas Tutorial 15 Handle Large Datasets In Pandas | Memory Optimization Tips For Pandas

5:43

How to Get The Certificate

You must have an Account on the platform.
Complete all lessons.
Watch at least 50% of Lesson Duration.
Get your Certificate free 🎉 !

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Data analysis in Python

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Data School 4.3

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4.2 (58 reviews)

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Reviews

M Shoaib Ashraf

· 4mos ago

thanks

G Hariharan

· 7mos ago

good

Patil Siddhi Manoj

· 1yr ago

It was nice and easy to understand the concepts

Kavidass

· 1yr ago

Finish it

Mayilvaganan j

· 1yr ago

Easy to learn

Kandekar Suvarna Bajirao

· 1yr ago

Good

Akhouri Rakesh Kumar

· 3yrs ago

Good

Data Analysis In Python Course Description

Data Analysis with Python is delivered through lecture, hands-on labs, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets.

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