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Data Analytics Real-World Projects in Python
Rating: 4.4 out of 5(1,851 ratings)
91,557 students

Data Analytics Real-World Projects in Python

Master Python Data Analysis : Build Real-World Data Analytics Projects and Create a Job-Ready Data Analyst Portfolio
Last updated 4/2026
English

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.

Course content

10 sections69 lectures8h 36m total length
  • Welcome + What You’ll Build in This Course (Projects Showcase) !3:59
  • Utilize QnA of the course ( Golden Oppurtunity ) !1:14
  • How to follow this course-Must Watch1:27
  • Pre-requisites (Anaconda Python & Jupyter install & Set-up)2:12
  • Quick Summary of Jupyter Notebook5:47

Requirements

  • You will need to install Anaconda. We will show you how to do it in one of the first lectures of the course

Description

Welcome to your journey into the world of Data Analytics !
If you want to become a Data Analyst , the best way to start is to solve real-world Data Analyst Projects.

This course is designed for anyone who wants to solve real-world Data Analysis projects and build a job-ready Data Analyst portfolio using Python


Real Projects You’ll Build

  • YouTube Data Analytics Project

  • Stock Market Data Analytics 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.


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

  • Business managers who want to make data-driven decisions

  • Students preparing their Data Analyst project portfolio



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.


Who this course is for:

  • Beginners stepping into Data Analytics or Data Science through real Data Analytics Projects
  • Anyone learning Python for Data Analytics Projects
  • Professionals shifting from Excel to Python and build professional Data Analyst Projects
  • Data Scientists and Data Analysts who want to improve their Data Cleaning, Data Manipulation, and Data Analysis skills.
  • Business Analysts using Data Analytics for insights.
  • Excel users exploring Python for Data Analysis Projects.
  • Beginner Python developers curious about Data Analytics