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100% OFF Data Science ★ 4.3 237,422 students 16 hours

The Complete Data Analyst Bootcamp From Basics To Advanced

Work With Pandas, Python For Data Science, ML & Data Analysis, Data Prep With EDA &100+ Exercises & Real Life Projects

Description


Hi, dear learning aspirants welcome to “ Complete Data Analyst Bootcamp From Basics To Advanced | Python For Data Science A-Z: EDA With Real Exercises ” from beginner to advanced level. We love programming. Python is one of the most popular programming languages in today’s technical world. Python offers both object-oriented and structural programming features. Hence, we are interested in data analysis with Pandas in this course. 

This course is for those who are ready to take their data analysis skill to the next higher level with the Python data analysis toolkit, i.e. “Pandas”.

This tutorial is designed for beginners and intermediates but that doesn’t mean that we will not talk about the advanced stuff as well. Our approach of teaching in this tutorial is simple and straightforward, no complications are included to make bored Or lose concentration. 

In this tutorial, I will be covering all the basic things you’ll need to know about the ‘Pandas’ to become a data analyst or data scientist.   

We are adopting a hands-on approach to learn things easily and comfortably. You will enjoy learning as well as the exercises to practice along with the real-life projects (The projects included are the part of large size research-oriented industry projects).

I think it is a wonderful platform and I got a wonderful opportunity to share and gain my technical knowledge with the learning aspirants and data science enthusiasts.

What you will learn:

You will become a specialist in the following things while learning via this course

“Data Analysis With Pandas”.

  • You will be able to analyze a large file

  • Build a Solid Foundation in Data Analysis with Python

After completing the course you will have professional experience on;

  • Pandas Data Structures: Series, DataFrame and Index Objects

  • Essential Functionalities

  • Data Handling

  • Data Pre-processing

  • Data Wrangling

  • Data Grouping

  • Data Aggregation

  • Pivoting

  • Working With Hierarchical Indexing

  • Converting Data Types

  • Time Series Analysis

  • Advanced Pandas Features and much more with hands-on exercises and practice works.

  • Standard as like #Krish Naik and #KRISHAI

  • Series at a Glance

  • Series Methods and Handling

  • Introducing DataFrames

  • DataFrames More In Depth

  • Working With Multiple DataFrames

  • Going MultiDimensional

  • GroupBy And Aggregates

  • Reshaping With Pivots

  • Working With Dates And Time

  • Regular Expressions And Text Manipulation

  • Visualizing Data

  • Data Formats And I/O

Pandas and python go hand-in-hand which is why this bootcamp also includes a Pandas Coding In full length to get you up and running writing pythonic code in no time.

This is the ultimate course on one of the most-valuable skills today. I hope you commit to mastering data analysis with Pandas.

See you inside!

Regards

Pruthviraja L

Team UpGraduate


Total Students 237422
Duration 16 hours
Language English (US)
Original Price ₹1,889
Sale Price 0
Number of lectures 103
Number of quizzes 0
Total Reviews 1420
Global Rating 4.27
Instructor Name Pruthviraja L

Course Insights (for Students)

Actionable, non-generic pointers before you enroll

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Student Satisfaction

86% positive recent sentiment

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Momentum

🚀 Surging this month

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Time & Value

  • Est. time: 16 hours
  • Practical value: 10/10

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Roadmap Fit

  • Beginner → Beginner → Advanced

Key Takeaways for Learners

  • Hands-on practice
  • Real-world examples
  • Project-based learning
  • Hands On
  • Clear Explanation

Course Review Summary

Signals distilled from the latest Udemy reviews

What learners praise

  • Hands On
  • Clear Explanation
  • Project
  • Practical
  • Engaging

Watch-outs

  • Poor audio
  • Error
  • Missing project

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Difficulty

Beginner

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Best suited for

New learners starting from zero, Doers who prefer project-led learning

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