Are you looking for Free Online Courses for Data Science? If yes, then this article will help you and provide 70 free online courses for Data Science from various platforms. So give your few minutes and find out the best free data science online course for you.
I would recommend you bookmark this article for future reference. Because this article will not only provide free courses but also saves your searching time for different free data science courses.
NOTE- The courses which I have listed in this article are completely free. You don’t need to pay a single buck for the course.
So without any further ado, let’s get started-
Free Online Courses for Data Science
For your convenience, I have created a table, so that you can filter out the courses according to your need. But before discussing the courses, I would like to tell you the required data science skills.
A data scientist requires an in-depth knowledge of the following skills-
- Programming Skills
- Statistics or Probability
- Machine Learning
- Multivariate Calculus and Linear Algebra
- Data wrangling.
- Data Visualization.
- Database Management
Now let’s get started and find out free online courses for Data Science.
And here we go!
Now, let’s see 10 beginner-friendly data science projects-
10 Beginner-Friendly Data Science Projects-
1. Fake News Detection
There is a lot of fake news spreading all over the world. So how can we differentiate between true news and false news?… The answer is with the help of Python. In this project, you have to build a model by using the Python programming language, which can identify whether the news is true or fake.
In order to implement this project, you need to build a TfidfVectorizer and use a PassiveAggressiveClassifier to classify news into “Real” and “Fake”.
2. Build a Chatbots
When you have any query with any product, then you complain to customer support. So when you send a message with your query, you get a reply within a few seconds. So this is a Customer Support Bot, that understands your language by processing and then replies to your query.
You can check examples of chatbots in eCommerce, healthcare, entertainment, and customer service in this article- The Best Chatbot Examples and Awesome Chatbot Ideas That You Can Borrow.
You can check this tutorial to build your first chatbot from scratch- Build Your First Python Chatbot Project
3. Recommendation System
As a beginner in machine learning, you can start your first project as a Recommendation system. Where you have to build a system that will recommend the products based on user history. Something like Amazon or Netflix.
You can build a Music recommendation system, movie recommendation system, etc.
For the recommender system datasets, you can refer to the UCSD portal. In this portal, you will find some rich datasets that were used in lab research projects at UCSD.
This portal has various datasets available for recommender systems from popular websites like Goodreads book reviews, Amazon product reviews, bartending data, etc.
Portal Link- Recommender Systems Datasets
And you can also check this complete project on Movie Recommendation System in R.
4. Driver Drowsiness Detection
Road Accident is a serious problem and the major reason is the sleepy drivers. But you can prevent this problem by creating a driver drowsiness detection system.
Driver Drowsiness Detection system detects the drowsiness of the driver by constantly assessing the driver’s eyes and alerting him with alarms.
For this project, a webcam is necessary to monitor the driver’s eyes. Python, OpenCV, and Keras are used to alert the driver when he feels sleepy.
You can check this complete project tutorial here- Driver Drowsiness Detection System with OpenCV & Keras.
5. Sentiment Analysis
In natural language processing, sentiment analysis is used to interpret the sentiments and classify them as positive, negative, and neutral.
Sentiment analysis is used in various domains, especially in business. Businesses are using sentiment analysis to find the opinions of their customers by using customer reviews to improve their services.
Many Political parties are using sentiment analysis to plan their election campaigns. So if you want to implement sentiment analysis, you can find the datasets from these websites-
Datasets For Sentiment Analysis–
- Twitter US Airline Sentiment– Kaggle
- Paper Reviews Data Set– UCI
- Sentiment Lexicons for 81 Languages– Kaggle
- Amazon product data
- Stanford Sentiment Treebank
You can also check this tutorial for the Sentiment Analysis Project in R.
6. Credit Card Fraud Detection Project
In this project, you have to perform the detection of credit cards by using R programming and algorithms like Decision Trees, Logistic Regression, Artificial Neural Networks, and Gradient Boosting classifiers.
You will use the Card Transactions dataset to classify credit card transactions into fraudulent and genuine. And you will apply different machine learning algorithms and check the accuracy by plotting the performance curves.
You can check this Project Tutorial at DataFlair.
7. Road Lane line detection
This is another good project idea for data science beginners. This project will provide guidance to human drivers on lane detections through lines drawn on the road.
This project is done using the concepts of computer vision using the OpenCV library. For detecting the lane, you have to detect the white markings on both sides of the lane. And for this, frame masking is used.
You can download the source code of the project here.
8. Color Detection with Python
This is a beginner-level project, where you have to build an interactive app. This app will identify the selected color from any image. There are 16 million colors based on the different RGB color values, but we only know a few colors.
So to implement this project, you need to have a labeled dataset of all the colors that we know, and then you need to calculate which color resembles the most with the selected color value.
In order to implement this project, you should be familiar with Computer Vision Python libraries- OpenCV and Pandas.
You can check all the details regarding this project here.
9. Stock Price Predictor
This is another Best machine learning project for beginners. Various companies and businesses are looking for software that can monitor and analyze the company’s performance and predict future prices of various stocks.
As a beginner, you can develop a machine learning project that predicts the stock price for the upcoming months.
You can check this tutorial for Stock Price Prediction in Python. In this tutorial, you will learn how to predict stock prices using the LSTM neural network. And how to build a dashboard using Plotly dash for stock analysis.
10. Forest Fire Prediction
Forest Fire is one of the most common disasters in today’s world. Forest Fire damages our ecosystem. Forest fire is also a severe enemy of animals.
So, you can build a Forest fire prediction system using k-means clustering. The forest fire prediction system identifies major fire hotspots and their severity.
You can also use meteorological data for finding the common seasons for wildfires and various weather conditions to increase your model’s accuracy.
You can check this tutorial for Forest Fire prediction here.
So, these are the 10 Projects for Data Science Beginners.
FAQ on FREE Data Science Courses
So, these are the 70 Best Free Online Courses for Data Science in 2024. I will keep adding more free courses to this list.
But I hope these Free Online Courses for Data Science will help you to enhance your data science skills. If you have any doubt or questions, feel free to ask me in the comment section.
All the Best!
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