• Exploratory Data Analysis (EDA) on a Real Dataset

  • Geospatial Analysis()

  • Dashboard Creation:

    1.Build interactive data dashboards using tools like Tableau, Power BI, or Python libraries like Dash or Streamlit. 2.Create a dashboard for a dataset that interests you, showcasing key insights.

To get started with these projects, you'll need to choose a dataset that aligns with your interests and goals. You can find datasets on platforms like Kaggle, GitHub, or data.gov. Python is a popular choice for data analysis, and libraries like Pandas, Matplotlib, Seaborn, and scikit-learn are very useful.

Answer from KlanfyG on Stack Overflow
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Reddit
reddit.com › r/learnpython › beginner python data analysis project - critique greatly welcome!
r/learnpython on Reddit: Beginner Python data analysis project - critique greatly welcome!
May 12, 2020 -

Hi everyone,

I just finished my first Python data analysis project, and being a total beginner, I could really use some other perspectives as to the quality of my final product. I plan on building a portfolio of similar projects and using it for applying to social science research assistant jobs where some programming and analysis ability is highly preferred. Since I am entirely self-taught, I need some concrete examples of what I can do to share with potential employers.

With that said, while I'm sure there are areas that could be improved, would my project be worth sharing with some edits? Or is it actually just a total flaming trash heap that should be scrapped entirely? Positive critique and helpful suggestions appreciated!

Project

Edit: Wow, I did not expect to wake up to so many comments and upvotes! I really needed this boost, to be honest. I'm so grateful for everyone's kindness and suggestions, and I'm definitely going to go back and try and tweak some things! I hope I can pay it forward one day, but for now, to fellow noobs who are trying to set up their first project - just go do it! I basically just forced myself to create something after learning the basics, and it really helps the learning process to break things down and figure out how they work outside of a guided tutorial. Keep coding!

Edit 2: I've uploaded a new version of the project since this was posted, taking into account some of the suggestions everyone has made. It's still not perfect, but I think it's time to move onto learning with new projects.

Top answer
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As someone who just started learning python to do similar type of projects, I just wanted to say thanks for posting and I enjoyed reading this! How long did it take you to get to this point?! Great work.
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This looks really good! A few thoughts: When reading in csvs to pandas I find it useful to specify the encoding and the type (usually auto set to UTF-8 and object personally). Particularly when you're working with data which contains some text and some numeric columns, it's helpful to be explicit to avoid any unexpected behaviour. When naming variables be explicit with regards to the data type, e.g. instead of 'clergydata' I would call this 'df_clergydata'. When you end up with multiple different lists, dicts and dfs in your code it's very helpful to have all of this explicitly named (particularly when you come back to your code a month later). When creating column names in your df you created several which contain capital letters and spaces (e.g. clergydata['Age range']). It's better and easier to only use lower case letters in variable names/column names where possible and to use underscores instead of spaces. This lets you access the column using clergydata.age_range instead of clergydata['Age range'] in lots of situations when manipulating your df, which is often much quicker and easier. In cell 12 you manually specify the archdiocese abbreviation and name (e.g. LA, and Archdiocese of Los Angeles) for many different locations. It would be better to automate this somehow, to both improve clarity and also reduce the risk of error/inconsistency. I saw someone above suggested using a group by, which would work, or you could use a for loop to directly create your top19_cathpops and top19_dionames lists. If you're not clear how to do this let me know and I would be happy to clarify. Most importantly your code works and answers some interesting questions, but the above points will make things more explicit (which is always better) and make your life easier.
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Coursera
coursera.org › coursera articles › data › data analytics › 5 data analytics projects for beginners
5 Data Analytics Projects for Beginners | Coursera
November 2, 2025 - Example sentiment analysis project: ... used Python to perform a sentiment analysis of product reviews using NLP. ... Learn how to use Google Cloud for sentiment analysis from Google itself in their short, interactive project, Entity and Sentiment Analysis with the Natural Language API. Humans are visual creatures, which makes data visualization ...
Discussions

python - Suggest some beginner projects related to data analytics - Stack Overflow
To get started with these projects, you'll need to choose a dataset that aligns with your interests and goals. You can find datasets on platforms like Kaggle, GitHub, or data.gov. Python is a popular choice for data analysis, and libraries like Pandas, Matplotlib, Seaborn, and scikit-learn ... More on stackoverflow.com
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Python Data Science December [Completed] - 24 Data Science Projects
Commenting for later. Thanks for sharing! More on reddit.com
🌐 r/Python
37
518
December 24, 2022
Data analysis project (beginner)
I am currently learning Data science and data analysis myself right now and i am also currently working on a project myself but i do have some advices to share that i was given by someone i know. They advised me to start by focusing on smaller goals that are the part of data analysis project. For example, make a project about data cleaning first by cleaning raw data from any public datasets available online or do a project about exploratory data analysis to explore the data and and also explore what questions to ask or maybe do a project about data visualization by visualizing already cleaned data from your own "data cleaning" project or by using already cleaned data from websites like Kaggle or UCI machine learning repository. The main idea is to get used to the tools and work environment before you jump into actual data analysis. These smaller projects will gain you experience and help you develop an understanding of how to work with data using your preferred tools and work environments. If you are confused about what project you should do then you can look for beginner friendly data analysis projects or you can find them here(Coursera link) I hope this helps More on reddit.com
🌐 r/dataanalysis
17
10
July 22, 2023
Beginner Data Analyst Projects for Building an Impressive Portfolio?
Here is a pretty good playlist of end-to-end projects that you can look through. it covers everything from sql, python, power, and data studio: https://youtube.com/playlist?list=PLi5spBcf0UMXfbMt1X2bHQkk7mHXkTUhs&si=dUmZaMDaSJHAQRYF More on reddit.com
🌐 r/dataanalysis
47
202
May 5, 2024
People also ask

What are some books on data analytics for beginners? ‎

There are many great books for those just starting out in data analytics. The following three books, in particular, offer accessible introductions to key aspects of the field: Data Analytics Made Accessible by Dr. Anil Maheshwari, Numsense! Data Science for the Layman: No Math Added by Annalyn Ng and Kenneth Soo, and Python for Everybody: Exploring Data in Python 3 by Dr. Charles Russell Severance.

To supplement their reading, beginners may also consider taking the online Python for Everybody Specialization offered by the University of Michigan and taught by Dr. Severance himself. 

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coursera.org
coursera.org › coursera articles › data › data analytics › 5 data analytics projects for beginners
5 Data Analytics Projects for Beginners | Coursera
What is data visualization? ‎

Data visualization is the process of graphically representing data through visual means. Common forms of data visualization include the use of graphs, charts, and diagrams to visually represent otherwise abstract data sets. Today, data visualization is considered a key skill in the world of data analytics. 

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coursera.org
coursera.org › coursera articles › data › data analytics › 5 data analytics projects for beginners
5 Data Analytics Projects for Beginners | Coursera
What skills do data analysts need? ‎

Beginning data analysts should make sure they have a solid technical understanding of structured query language (SQL), Microsoft Excel, and either R or Python. Additionally, they should be able to think critically, present confidently, and know how to tell their data’s story visually. Read more about these and other key data analyst skills. 

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coursera.org
coursera.org › coursera articles › data › data analytics › 5 data analytics projects for beginners
5 Data Analytics Projects for Beginners | Coursera
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Medium
medium.com › @anirbanmukherjee1311 › free-data-analysis-projects-for-beginners-with-source-code-in-python-af033e6ec38f
Free Data Analysis Projects for Beginners with Source Code in Python
May 24, 2025 - In this project, we will analyze Flipkart product reviews using Python to determine customer sentiments towards various products. This analysis can help businesses understand customer feedback and make data-driven decisions to improve product quality and customer satisfaction.
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GeeksforGeeks
geeksforgeeks.org › data analysis › data-analyst-projects
30+ Top Data Analytics Projects in 2025 [With Source Codes] - GeeksforGeeks
February 13, 2026 - Web scraping projects teach you how to collect raw data from websites and transform it into useful insights through analysis. ... Choosing the right tools is essential for building efficient and scalable data analytics projects. Below are some of the most commonly used platforms in the industry. Microsoft Excel: Suitable for beginners and quick data exploration · Python (Pandas and NumPy): Ideal for data manipulation, analysis and automation
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ProjectPro
projectpro.io › blog › 50+ python projects for data science in 2025
50+ Python Projects for Data Science in 2025
May 13, 2025 - This section contains python data science projects for beginners. These projects focus on exploratory data analysis, visualization, and foundational data modeling techniques, providing practical experience with real-world data.
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DataCamp
datacamp.com › blog › data-analytics-projects-all-levels
30 Data Analytics Projects for All Levels (2026) | DataCamp
February 27, 2026 - You can apply similar methods to Stock Exchange Data and learn to manipulate the data for data analysis. Furthermore, you can learn data transformation, aggregation, slicing, and indexing by taking Data Manipulation with pandas course. In the Visualizing the History of Nobel Prize Winners project, you'll examine over a century of Nobel Prize history. Using Python, you'll analyze and visualize data to uncover patterns and potential biases in how prestigious honors are awarded across categories like physics, chemistry, literature, and peace.
Find elsewhere
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365 Data Science
365datascience.com › blog › tutorials › python tutorials › 4 essential python projects for beginners (with code)
4 Essential Python Projects for Beginners (with Code)
June 11, 2024 - Prime Numbers in Python Project (Beginner, 1 hour) (free) Music Genre Classification Project with PCA and Logistic Regression (Intermediate, 3 hours) Machine Learning for User Classification Project (Intermediate, 10 hours) Encryption and Decryption ...
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Kanaries
docs.kanaries.net › articles › python-data-analysis-projects
Python Data Analysis Projects for Beginners: A Comprehensive Guide – Kanaries
Python Data Analysis Projects for Beginners: Explore real-time and hands-on project ideas with source code and Github repositories for all levels.
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Reddit
reddit.com › r/python › python data science december [completed] - 24 data science projects
r/Python on Reddit: Python Data Science December [Completed] - 24 Data Science Projects
December 24, 2022 -

The Python Data Science December is completed.

  • 24 real-life Data Science projects using Python

  • You will learn about Python & Data Science a lot

  • It is beginner-friendly & free

Below is the full list of projects. Merry Christmas to all celebrating it.

  • 1 - Python —  Analyze Your Own Netflix Data

  • 2 - Python —  Crawling Restaurant Data

  • 3 - Python —  Address To Geolocation

  • 4 - Python —  Visualize Data On A Map

  • 5 - Python — Live Stock Market Visualization

  • 6 - Python — Premier League Twitter Activity

  • 7 - Python —  Twitter Visualization & Analytics

  • 8 - Python —  Sankey Diagrams

  • 9 - Python —  Crawl Nintendo Game Reviews

  • 10 - The Best Nintendo Games Ever — Python Data Science

  • 11 - Python —  Flight Data Generation

  • 12 - Python — Flight Data Live Visualization

  • 13 - Python — Analyze My Medium Earnings

  • 14 - Python — Football World Cup Analytics

  • 15 - Python —  Football World Cup Visualization

  • 16 - Analyze The S&P 500 Bear Market With Python

  • 17 - Is Covid-19 Still A Threat? A Python Data Analysis

  • 18 - Supply Chain Control Tower

  • 19 - Pie chart-like Visualizations, but cooler

  • 20 - Can an AI be a data scientist?

  • 21 - Interactive Weather Analysis

  • 22 - Bokeh Data Visualizations

  • 23 - Anomaly Detection

  • 24 - Passive Income Analysis With Python

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Amanxai
amanxai.com › home › all articles › 50 data analysis projects with python
50 Data Analysis Projects with Python | Aman Kharwal
December 27, 2024 - In this article, I'll take you through a list of 50 Data Analysis projects with Python you should try to master Data Analysis.
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Dataquest
dataquest.io › blog › python-projects-for-beginners
88 Python Projects from Beginner to Advanced (2026)
2 days ago - Building a Data Pipeline with APIs ... using Python and Airflow. This project introduces automation, database integration, and working with external data sources. Automating Data Collection with Web Scraping (PREMIUM) — Automatically collect ...
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Kaggle
kaggle.com › general › 433860
Python-Powered Data Analysis Projects: Unveiling Insights ...
Checking your browser before accessing www.kaggle.com · Click here if you are not automatically redirected after 5 seconds
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Dataquest
dataquest.io › blog › data-science-projects-for-beginners-to-advanced
30 Data Science Projects for Beginners to Advanced
March 27, 2026 - Data Science Survey Analysis: A beginner-friendly project using real Kaggle survey data to uncover insights about data science careers and skills. Analyzing App Market Data: Great first project for Python fundamentals and exploratory data analysis.
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Analytics Vidhya
analyticsvidhya.com › home › top 10 data analytics projects for 2026
Top 10 Data Analytics Projects for 2026
December 27, 2025 - To ensure everything sails smoothly on a website, data analytics projects involve visualizations (using heatmaps, graphs, etc.) and statistical analysis of user survey data. You will use Python libraries like matplotlib, seaborn, and NumPy, R libraries like ggplot2, dplyr, etc., to map proper user behavior.
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LearnPython.com
learnpython.com › blog › python-data-analysis-example-guide-for-beginners
Python Data Analysis Example: A Step-by-Step Guide for Beginners | LearnPython.com
This article is a step-by-step guide through the entire data analysis process. Starting from importing data to generating visualizations and predictions, this Python data analysis example has it all.
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Udemy
udemy.com › it & software › it certifications › data analysis
Data Analytics Real-World Projects in Python | Udemy
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.
Rating: 4.6 ​ - ​ 1.79K votes
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Medium
medium.com › @amit25173 › exploratory-data-analysis-projects-with-python-code-from-beginner-to-advanced-b5e1502859e6
Exploratory Data Analysis Projects with Python Code: From Beginner to Advanced | by Amit Yadav | Medium
April 18, 2025 - Your task is to analyze historical stock prices to identify trends and seasonal effects that could inform future investment strategies. Additionally, you’ll explore how stock prices correlate with key economic indicators like interest rates ...
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Great Learning
mygreatlearning.com › great learning › data science › python projects for data analysis
Python Projects for Data Analysis Free Course with Certificate | Great Learning
Enroll in this free Exploratory Data Analysis Projects course today and start building your data analysis skills! Learn how to clean and analyze data, create visualizations, and extract insights using real-world datasets. Instructor: Mr. Bharani Akella ... In this course, you'll learn how to use Python to manipulate and analyze data from these two popular franchises.
Rating: 4.4 ​ - ​ 112 votes
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GitHub
github.com › topics › data-analysis-python
Data Analysis Python Projects
data-science numpy pandas-dataframe jupyter-notebook data-visualization data-analysis matplotlib data-analysis-python matplotlib-pyplot seaborn-plots data-analysis-project data-visualization-python ...