Top 8 Exciting Data Analytics Project Ideas & Topics

For a long time, data science courses have been one the most rewarding and satisfying career options. Aspiring data scientists should focus more on developing their technical skills. You will increase your data scientist skills by doing this. To improve your skills and knowledge, it is a good idea to work on personal projects.

Your career growth can also be affected by your ability to analyze data. It’s mostly about finding new insights that will help you make better decisions. Ask any veteran analyst and he will tell ya that intuition is a result of hard work. Around 80% of all data analysis assignments begin with data evaluation. Data scientists need to be knowledgeable about the types and methods of data analysis.

As time goes by, you’ll develop the skills to gather data and generate reports based upon your findings. It is also important to be able,

Clean up the web data
– Perform exploratory analysis
– Clear cluttered data
Visually communicate results

Working on projects that emphasize data scraping, exploratory analytics, and visualization is the key to becoming a skilled data science professional. So, let’s get started. These are some ideas for projects that data scientists will need to create their job profiles.

Data Scraping Project Idea Ideas

1. Movie Data Collection
This project is a great way to start your journey as a data scientist. Its primary objective is to extract data and analyze it. The IMDB website is a great resource for information on popular TV shows, actors, movies, and others. It is easy to access data through this website because it uses a consistent format. The project is also very promising in terms of data collection.

2. Sites for Job Listings
Data scraping is a popular method of training data scientists. These websites have standard data types. Different online tutorials are a great way to increase your learning abilities. This project has the main goal to collect data on job titles and company information. This project can be further enhanced with visualizations, such as comparing the talents of different companies and mapping them out.

3. Online shopping sites
You can also scrape product and cost data online to enhance your data analytics skills. Flipkart’s top-selling Bluetooth headsets can be collected data. The data collected is further analyzed to provide the necessary information for your project. It is better to experiment with data using simpler algorithms before you start analyzing it. This will make it easier to master complex data design.

4. Online communication networks
An entry-level data analyst can use social media sites to collect data. Reddit and Twitter, for instance, can provide data. Reddit offers many resources, such as the ability to search keywords, upvotes, and user data.

This website is known for its simplicity and ability to create content. You can perform data analysis to analyze upvoted keywords and their associated content. Exploratory analysis can be used to determine if there is any correlation.

Exploratory data analysis project ideas

1. Global Suicide Scale
Your next step is to perform exploratory analysis of data structures, patterns, or characteristics. Analyze the data that covers the number of suicides in different countries to see if there are any.

You will also find information about everything that you can, from the year to the gender to the age and even the GDP. After you’ve completed data collection, examine the patterns for suicide rates. You can use data analysis to determine the percentages of suicide rate rises or falls.

2. UN World Happiness Report
This assignment is a different project than the one before. It involves the World Happiness Report. The report tracks six key factors that determine happiness in the world. These six factors include life expectancy and economic health, as well as social support, corruption, freedom, and generosity. Based on the report, multiple questions may arise in your mind. This is a great exercise for data analysis skills.

First, collect the necessary data and extract it. It is easier to analyse a report if it’s well-organized.
This section will focus on the data structure and patterns used in the design of the world report. To perform a full analysis, it is best to probe for additional information.

The right datasets will allow you to improve your technical skills. Resetting your analysis can help you see the benefits of complex structures. It is important to keep it short, simple and clear in order to get the information you need to accomplish your project goals.

Project Ideas for Data Visualization
1. Report on the Global Impact of Covid-19
In order to communicate visually our results, we need to be able to scrape, tie, and analyze the data. This is the Covid-19 Health Report. You can access thousands of Covid-19 datasets by visiting sites such as Kaggle. Next, collect data and then scrape it. Clean up all data collected for further investigation. The analyst will be able to see the results easier if they have organized data.

It is possible to also compare different countries using the number and recovery rate of patients. Visualizing the results requires graphs and charts. You can also look online for tutorials to help you get deeper into the subject.

2. Post a pic on Instagram to share with your friends!
It doesn’t matter what your interests are in brands or actors. Instagram offers a unique collection of information and data on many topics. This makes it an excellent tool for visualization. The options for analysing Instagram are limitless.

The most popular accounts can be tracked in real time. Your project goals can be achieved by developing and creating bar charts based upon the collected information. Social media is all about advertising. To improve your tech skills, you can compare the brand names of companies with other brands.

In conclusion,
After you have acquired the skills required to data scrape, exploratory analyze, and visualize data, you will be able to work on improving your data analyzing capabilities. Start by learning machine-learning projects. You can choose from predictive analysis and sentiment analysis.

The most important thing to remember from this post: Practice makes perfect. To get familiar with the algorithms used in data mining, you should start by working on simpler projects. Once you are comfortable with the algorithms, move on to more complex projects that will help your career.

You may be interested in data science training to meet the demands of modern technology. UpGrad & IIIT – B’s PG Diploma is Data Science for Working Professionals. The program offers practical workshops and mentorship, as well as 10+ case study & projects. There are also 400+ hours of learning with industry mentors.