Data Analysis With Python For Beginners: Learn By Practice

  • Overview
  • Curriculum
  • Instructor
  • Review

About This Course

Use Python for data analysis, learn Python libraries like pandas and learn to perform data analysis.

Data Science With Python

Learn how to perform data analysis in Python using the powerful Pandas library.

Here Is What You Get By Enrolling In This Course:

Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.

Awesome Quality Content: Over 5+ hours of HD(1080p) Videos.

Well Structured & Easy To Learn: This course teaches you the exact process of performing analysis on a set of data and drawing meaningful conclusions from it.

24 X 7 Support: I will always be there to guide you in your journey to become Python project expert.

Note: Student queries and problems will be answered immediately.


Here Is Everything You Will Learn In This Complete Course:

The Complete Course is divided into 10 Major sections:

Section 1: Introduction to Numpy.

Section 2: Series & Data Frames.

Section 3: Arithmetic between series and data frame.

Section 4: Functions, sorting & ranking.

Section 5: Handling data & Indexing.

Section 6: Data loading.

Section 7: Merging & reshaping.

Section 8: Data visualization.

Section 9: Data transformation.

Section 10: Time series.


So let's begin the journey of becoming an expert in Data Analysis.

In addition to the Udemy 30-day money back guarantee, you have my personal guarantee that you will love what you learn in this course. If you ever have any questions please feel free to message me directly and I will do my best to get back to you as soon as possible!


Make sure to enrol in the course before the price changes.

Take yourself one step closer towards becoming a professional Data Analyst by clicking the "take this course button" now!

Join the journey.

Sincerely,

Ashutosh Pawar

  • How to use Numpy & Pandas to perform data analysis.

  • How data is manipulated in the form of series and Data Frames.

  • How to extract, clean and load data for analysis.

Course Curriculum

Instructor

Profile photo of Ashutosh Pawar
Ashutosh Pawar

Ashutosh Pawar is a software engineer & entrepreneur.He holds a bachelor's degree in Information Technology (Computer Science) Engineering and has multiple years of developing scalable software infrastructure across multiple domains which include real estate, medicine & finance.Along with being an engineer, he always had a passion for teaching and his goal is to pass on his knowledge to his students...

Review
4.9 course rating
4K ratings
ui-avatar of Oliver Pham
Oliver P.
5.0
3 years ago

The presentation is easy to understand.

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ui-avatar of Jeenu Jose
Jeenu J.
2.5
4 years ago

Yes

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ui-avatar of Chioma Ekejiuba
Chioma E.
5.0
4 years ago

I am pleased to inform you that the instructor did a good job. He broke it down very well to my understanding. In fact, he is good at what he is doing. Great job sir!

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ui-avatar of Eduardo Marrero
Eduardo M.
5.0
4 years ago

Yes, the course was certainly a good match for me and introduced me to new topics on Data Analysis with Python that I added to my skillset.

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ui-avatar of Prathibha Shakya Rajapaksha
Prathibha S. R.
5.0
5 years ago

Super course to learn python for a beginner

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ui-avatar of Nirmal Kumar
Nirmal K.
5.0
5 years ago

A very good intro course for Data Analytics. Teaches a lot of functions used in numpy and pandas. Explanation about Dataframes is very good.

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ui-avatar of Josh Moody
Josh M.
1.0
6 years ago

Cant use on a chromebook, so used a windows laptop. Outdated as the software on the videos is completely different

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ui-avatar of Davinder Singh
Davinder S.
5.0
6 years ago

Very Good! Each concept explained very well. i'm beginner and i did learn lots for this course. Thanks lots

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ui-avatar of Harald Hovde Buberg
Harald H. B.
2.0
6 years ago

Up until this point the course have very few real life examples.
A dataset that was promised was not supplied.

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ui-avatar of Marcelo Peres
Marcelo P.
3.0
6 years ago

Bom curso para iniciantes,mas senti falta de datasets reais para praticar mais exercícios.

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