Week 10
Since you’ve finished your journey right from Week 1 – Week 9, now is the time for you to take active participation to work in-depth in data science, this can be done by opting through Complete Data Science – LIVE course that will take you forward in becoming a class-apart data science expert. Whereas, take a look at some projects where you can understand the basics of data science and will definitely be going to help you to brush up on your skills. We have compiled a list of categorized projects/ideas for better clarity. Let’s have a look:
Data Analysis Project
- Data Analysis for Olympics: This project will drive you through various data and will show how you can implement and use best cases while giving tasks for data analysis.
Data Visualization Project
- Covid-19 Analysis and Visualization: This analysis project will help you with modeling, and showing visualization of the COVID-19 pandemic outbreak.
Web Scraping Project
- How to Scrape Websites with Beautifulsoup and Python?: This project entails the use of web scraping for pulling out information from scratch (like traffic, stats, etc.) as per convenience.
Machine Learning Projects (Beginners)
- Wine Quality Prediction: This project will work to predict the quality of wine as per the given stats.
- Credit card Fraud Detection: To identify the unauthorized transactions of any credit card
- Disease Prediction: This project model will help you with the early detection of any disease based on the input provided by the user.
- Sentence Prediction: This project will offer a prediction based on BERT that is capable to detect any language.
Machine Learning Projects (Advanced)
- Human Scream Detection: This project idea is an analysis for controlling the crime rate using machine learning and deep learning
- Fine-tuning the BERT model for Sentiment Analysis: This project uses a neural network layer for BERT architecture
- Detecting COVID-19 From Chest X-Ray Images using CNN: Three different machine learning models were used to build this project i.e. Xception, ResNet50, and VGG16.
- Face and Hand Landmarks Detection using Python – Mediapipe, OpenCV
- Age Detection
- AI-Driven Snake Game using Deep Q Learning
- Handwritten Digital Recognition: This project is built on Neural Network
- Predicting Stock Price Direction using Support Vector Machines
Deep Learning Projects
- Pneumonia Detection: Early detection of disease to provide medical care accordingly.
- Black and white image colorization: The change of color i.e. from grayscale to colored is simple by using this project idea.
- IPL Score Prediction: Cricket score prediction can be easily done with this project based on the inputs provided by the user.
- Wine-type Prediction: This project will drive you with Keras to understand the basics of neural networks.
- Human Activity Recognition – Using Deep Learning Model
How to Learn Data Science in 10 weeks?
The magic of “Data Science” has exploded in the entire market and has become a major wagon for all scales of businesses. Today, the decisions companies are making along with the forecast are solely dependent on data science. The field of data science has grown more than 3x folds, especially during the recent pandemic, as everyone was forced to work remotely, and thus it has opened many doors of opportunities for companies and working professionals to switch or start their careers in this field.
Recent stats have also suggested that almost 40% of companies have slashed their unwanted expenditure and that’s how more than 50,000 jobs have been generated in this field. Even if you talk about current stats, there are more than 1 lakh jobs available alone in India and more than 10 lakhs are there at a worldwide level. This clearly indicates that the scope in the field of data science is going to be glorious in the upcoming years. Now, the question arises is how to learn data science in 10 weeks? Learning could be fun and interactive only if you’ve chosen the right path and resources. In this article, we’ll see the steps, procedure, material, and allocation of time for learning data science right from the beginner’s level. Let’s find out:
But, before we move ahead, you must understand why you should opt for Data Science as a career point of view.
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