Udemy

Data Science : Python Bootcamp for Data Analysis with Pandas

立即報名
  • 140 名學生
  • 更新於 1/2023
4.4
(14 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
6 小時 50 分鐘
教學語言
英語
授課導師
Anmol Tomar
評分
4.4
(14 個評分)
4次瀏覽

課程簡介

Data Science : Python Bootcamp for Data Analysis with Pandas

A Pandas crash course with Industry focused curriculum | Hands on coding Assignment | 13 Quizes having 50+ questions

Hello and welcome to the course !

I hope you are exited to start this journey of learning python for data analysis.


By the end of this course you be able to comfortably manipulate and visualize your data.

I just want a commitment from you that you will attempt all the 13 quizzes that are distributed across each of the modules and also solve the Final assignment honestly. Why ? Because the more you practice the better you code.

Why you should take this course :

It’s Memorable: You’ll learn the “why” behind everything you do, so you remember the concepts and can use them on your own later.

It’s the Perfect Length: The course is just 6.5 hours long, so you’ll actually be able to finish it and get your certificate.

It Goes at the Perfect Pace: You will learn the Python fundamentals at a pace tailored to beginners. This means you won’t get left behind, and won’t waste time on irrelevant filler.

It’s Practical: You actually use Pandas to manipulate data. It’s not just dry theory. You can see you’ve understood by solving Quizes at the end of each section. There is a mega coding assignment to give you a hands on flavour and make you more confident in this skill. Over time i will keep on adding more coding assignmet for your practice.


Now, let's have a look at the course outline.

We will start by laying some foundation with the below lectures :

  • Basic Introduction to Python.

  • Numpy Package, which forms the foundation of Pandas Package.

Then, we will learn about :

  • Data Types in Python to store collections of data.

Then we will start with the following : 

  • Create Dataframe in Pandas from different file formats.

  • Data Selection and Filtering.

  • Merging and aggregations which forms the back bone of the dataframe analysis.

  • Working with Datetime using pandas.

  • Advance Data Manipulation.

  • Loops and Functions.

  • Data Visualization.

  • Assignment - Work Fitbit User Activity data.

Try out the course for a full 30 days, with a Udemy-approved Zero Risk, 30 Day 100% Money Back Guarantee! You have absolutely nothing to lose and everything to gain!

Enroll in the Python for Data Analysis course Now! -- You'll be glad that you did!

課程章節

  • 10 個章節
  • 68 堂課
  • 第 1 章 Getting Started
  • 第 2 章 Introduction to Python
  • 第 3 章 Numpy
  • 第 4 章 Data Types in Python
  • 第 5 章 Creating Dataframes using Pandas
  • 第 6 章 Data Selection and Manipulation
  • 第 7 章 Merging Dataframes in Pandas
  • 第 8 章 Aggregations
  • 第 9 章 Working with Datetime in pandas
  • 第 10 章 Advance Data Manipulation

課程內容

  • Learn how to use Numpy, List, Dictionary and Pandas for data manipulation
  • Learn how to use Matplotlib for Data Visualization using pandas
  • Learn how to create Dataframes from different file formats
  • Learn data selection, data manipulation, merging, grouping data in pandas
  • 13 Quizes to test and refresh your understanding of the lectures
  • Final assignment in which you will analyse Fitbit's users activity using Pandas

評價

  • M
    Marco Baquero Latorre
    3.5

    the course is very useful to begginers like me. I liked it so much, but for me, the profesor's english pronunciation was hard for me, because Im not so fluent Tks!!

  • S
    Sanjana
    5.0

    great learning experience

  • M
    Mukesh Gajbhiye
    5.0

    Good course with to the point explanations!

  • A
    Ajay
    5.0

    A great course for learning python for data science. I have started applying these concepts in my work. Highly recommended !

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