Udemy

Data Analytics Real-World Projects in Python

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  • 90,352 Students
  • Updated 11/2025
4.6
(1,781 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 39 Minute(s)
Language
English
Taught by
Shan Singh
Rating
4.6
(1,781 Ratings)

Course Overview

Data Analytics Real-World Projects in Python

Build 5 Real-World Data Analytics Projects in Python using Pandas & Seaborn to Create a Job-Ready Data Analyst Portfolio

If you want to become a Data Analyst or Data Scientist, the best way to start is by working on real-world Data Analytics Projects.

This course helps you learn Data Analytics using Python, step-by-step, through hands-on projects that simulate real industry problems.


Student Testimonials:

  • Excellent Course for Data Analytics Real World Projects.. specially in Python. Recommended Course for those who want to start or transform their career in Data Analytics- Alokkumar Mahato


  • nice course, easy to understand lectures. Shan Singh was quick to respond to my questions too. i feel more confident compiling my portfolio now - Burutolu Q

  • I love how in 5 projects I went to 0 to 100% of knowledge of how to use some libraries and how to interpretate the results ! Also all my questions were answered ! Amazin course 110/100 - María Fernanda Villegas CascoU

  • The course was really helpful in learning data cleaning, data manipulation and data visualization. Newer library of plotly was something very new to me. while practizing with the dataset I got to know the pros of using plotly (simple, clear and interactive plots). Overall the coverage of the course with dataset from various industries and their problem set was very comprehensive and I think would match the industry scenario well. Also, I learned a whole new plethora of methods that are being called on class objects which I wasn't familiar with before taking this course.Thanks for your support in Q&A as well.- Abhishek Gajbhiye




What You’ll Learn

  • End-to-end Data Analytics Projects using real datasets

  • Data cleaning, data manipulation, and Data visualization using Pandas, NumPy, Matplotlib, Seaborn & Plotly etc..

  • How to apply Data Analytics for business decision-making

  • Turning messy data into meaningful insights

  • How to build a Data Analyst Portfolio that impresses recruiters


Why This Course Is Different ?

  • You’ll work on real-world Data Analytics and Data Analysis Projects, not toy datasets.

  • Learn complete workflows: Business requirement , importing, cleaning, merging, analyzing, and visualizing data.

  • Ideal for beginners to intermediate learners — only basic Python knowledge is needed.

  • Learn both technical skills and business problem-solving — a true Data Analyst mindset!


Who Should Enroll ?

  • Beginners who want to start a career in Data Analytics

  • Professionals who want to use Python for data analysis and automation

  • Business managers who want to make data-driven decisions

  • Students preparing their Data Analyst project portfolio


Real Projects You’ll Build

  • YouTube Data Analytics Project

  • Stock Market Analysis using Python

  • Zomato Data Analysis Project

  • Sales Data Analysis Project

  • IPL Data Analytics Project

Each project will help you practice Python libraries and understand how Data Analytics works in the real world.


Can you start right now?

A frequently asked question of Python Beginners is: "Do I need to become an expert in Python coding before I can start working on Data Analytics Projects ? "

The clear answer is: "No!

  • You just require some Python Basics like data types, simple operators, lists and numpy arrays that you can learn from my Free Python course 'Basics Of Python'

Start your journey today and become a confident Data Analyst with real-world project experience.


Course Content

  • 9 section(s)
  • 65 lecture(s)
  • Section 1 Welcome to this Course !!
  • Section 2 Introduction to Data Analytics
  • Section 3 Introduction to Life-Cycle of Data Analytics Project
  • Section 4 Project 1 : Text Data Analysis ( Youtube Case-study )
  • Section 5 Project 2 : Time Series Project ( S&P 500 Stock Market case-study )
  • Section 6 Project 3 : Geospatial Data Analytics Project (Zomato Case-Study)
  • Section 7 Project 4 : Sales Data Analysis ( E-commerce Case-study )
  • Section 8 Project 5 : IPL Data Analysis (Sports Case-study )
  • Section 9 Bonus Session

What You’ll Learn

  • Get hired as a Data Analyst and earn up to $156,000 by showcasing 5 Real-World Data Analytics Projects on your resume
  • Understand the Data Analytics pipeline — collect , clean, join, filter & analyze data.
  • Learn Python for Data Analytics — work with Excel, Text, Time Series & Geographical Data.
  • Build Data Analysis Projects using Pie Charts, Bubble Charts, WordClouds, and Maps.
  • Master essential Data Analytics libraries — Pandas, Seaborn, Matplotlib, Plotly, Folium, WordCloud, and Geopy
  • Gain experience with Data Analyst Projects to solve real business problems.


Reviews

  • S
    Siboniso DIKO
    5.0

    i think i am enjoying the course

  • D
    Digvijay Gowda
    2.0

    Concepts are not much explained

  • V
    Vinayak
    4.5

    Your Explanation is very nice , as well as the content of course is good as you have selected the datasets of every aspects , the amazing projects specially the time series and text analysis and sales project

  • N
    Nuria Cambronero González
    4.0

    Quite a good course to begin with Python and Jupyter Notebooks. Basic data analysis and visual representation of data, explaining the main Python packages needed. The resources provided are very helpful.

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