Data Science is a fast-growing field and has been on a boom for the last couple of years. Various innovations are going on to take its largest domain of Artificial Intelligence to the next level. Many industries have realized the power of data science, and thus more opportunities are surfacing in the market. So if you want to get a solid grip on the technology and boost your confidence in Data Science, you need to have hands-on experience. Thus with a portfolio of Data Science projects, you can showcase your skills.
The purpose behind this article is to get you a free guided project from Coursera which is one of the top online learning platforms. Also, we have listed the best rated and best performing Data Science projects based on ratings and enrollments (with more than 5k only).
How to complete Data Science projects?
The sessions of the guided project are conducted via Rhyme. The Rhyme is Coursera’s platform for the learner to have hands-on practice in their browser. Thus, everything that you need to complete a Guided Project is available right in your browser. No software or prior experience is required to get started, as their cloud desktop has all the required tools installed. However, it is recommended to have some prerequisites such as Python programming and neural network knowledge in this case.
When logged in, the learner will see two segments: A workspace and a video tutorial from the instructor. Moreover, the Guided Projects offer an interactive experience that includes step-by-step instructions from a subject matter expert.
Are Guided Projects available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Are Coursera’s guided projects worth it?
Yes, if your job requires a specific knowledge area or you intend to showcase your practical knowledge to prospective employers. Moreover, it is reasonable for 1.5 hours of guided data science project for USD 9.99 to access a GPU-enabled environment. The classes are entirely hands-on practical sessions.
Are guided projects free in Coursera?
Till June 12, 2020, Coursera allowed completing one free guided project in business, data analysis, or machine learning. But now, they have made almost all of them paid.
However, you can still find very few free projects; most of them are new and on promotion. To recognize such free data science projects, we scrapped web data. Those projects were further tested manually to check whether they really exist for free of cost, though you might need to pay a small amount to get a certificate. If you have completed the guided project after reading this article, kindly let us know in the comments section.
Do you get a certificate after completing the Coursera guided project?
When you pass the quiz, you complete the Guided Project and earn a shareable certificate that showcases what you’ve learned.
How to enroll in the guided project free?
- Log in – and click on “Enroll for Free”
- You will be directed to the project dashboard:
- If the project is NOT FOR FREE, you will see the “Start Guided Project” on the click button instead of “Enroll for Free.” Though the paid project is not that expensive it’s just USD $9.99 and is really worth it.
So, the following is the list of Data Science projects, at first we have listed the best-rated and the most preferred projects under USD $10. The Free Data Science projects have been listed below the list of paid projects.
- Show all
- Popular
click on links below to navigate
Best rated Guided Projects in just USD$10
- Keras >> CNN
- Keras >> Google AI
- Keras >> ML
- Keras >> TensorFlow >> ML
- Python >> AI >> NLP >> Using Twittter
- Python >> AI >> Using Facebook
- Python >> ANN
- Python >> Classification trees
- Python >> Geodata
- Python >> Machine Learning
- Python >> Numpy
- Python >> OpenCV
- Python >> Scikit-learn
- Python >> Seaborn
- Python >> Streamlit
- TensorFlow >> Deep learning
- TensorFlow and Keras >> Deep learning with R
click on links below to navigate
Free Guided Projects
- AWS >> Apache
- AWS >> Amazon Cloudfront
- AWS >> S3
- AWS >> Autoscaling
- Amazon Sagemaker
- Google Analytics
- Google Sheets >> Business Intelligence
- Google Sheets >> Feature Engineering
- Google Slides >> Business Intelligence
- Python >> PyCaret
- Python >> Pytorch
- TensorFlow >> DL, ML, NLP
- TensorFlow with keras
List of Best Rated Data Science Projects in just USD $10
Note: Throughout the list, every course has been provided with the information as below:
- Approximate minutes/ hours
- Course level
- Language
- Enrollments
- User Ratings
- Click on "Show more" for description
Data Science Projects with Azure ML
- 1.5 hours
- Beginner
- English
- 6000+
Skills you gain:
- Azure-machine-learning,
- data-science,
- Artificial-intelligence,
- Machine-learning,
- Deep-learning.
In this Guided Project, you will:
- Train and evaluate a multiclass neural network on Azure ML Studio to recognize handwritten digits
- Create and deploy a predictive web service
- Build a Python web app to query the Azure web service API for deep learning inference
- 2 hours
- Beginner
- English
- 9100+
Skills you gain:
- Data Science,
- Artificial Intelligence (AI),
- Machine Learning,
- Data Analysis,
- Microsoft Azure.
In this Guided Project, you will:
- Build a predictive model using Azure ML Studio
- Demonstrate a working knowledge of setting up experiments on Azure ML Studio
- Operationalize machine learning workflows with Azure’s drag-and-drop modules
Data Science Projects with Keras
- 1 hour
- Intermediate
- English
- 12000+
Skills you gain:
- CNN
- Deep Learning
- Machine Learning
- Computer Vision
- keras
In this Guided Project, you will:
- Implement Convolutional Neural Networks in Keras with TensorFlow backend
- Train Convolutional Neural Networks to solve Image Classification
- 2 hours
- Intermediate
- English
- 9100+
Skills you gain:
- Deep Learning
- custom prediction routine
- google ai platform
- Machine Learning
- keras
In this Guided Project, you will:
- Deploy a model with custom prediction routine on Google AI Platform.
- Use a model deployed on Google AI Platform for inference.
- 1.5 hours
- Intermediate
- English
- 9000+
Skills you gain:
- Deep Learning
- Convolutional Neural Network
- Machine Learning
- image augmentation
- keras
In this Guided Project, you will:
- Image Data Augmentation with Keras
- Using Image Data Generator with a Keras Model
- 2 hours
- Intermediate
- English
- 6300+
Skills you gain:
- Deep Learning
- Artificial Intelligence (AI)
- Machine Learning
- Python Programming
- Computer Vision
In this Guided Project, you will:
- Understand the theory and intuition behind Autoencoders
- Build and train an image denoising autoencoder using Keras with Tensorflow 2.0 as a backend
- Assess the performance of trained autoencoders using various Key performance indicators
- 1.5 hours
- Advanced
- English
- 8200+
Skills you gain:
- Data Science
- Deep Learning
- Machine Learning
- Computer Vision
- keras
In this Guided Project, you will:
- Understand what autoencoders are and why they are used
- Design and train an autoencoder to increase the resolution of images with Keras
Data Science Projects with Python
- 2 hours
- Beginner
- English
- 6900+
Skills you gain:
- Artificial Intelligence (AI)
- Python Programming
- Machine Learning
- Natural Language Processing
In this Guided Project, you will:
- Create a pipeline to remove stop-words, punctuation, and perform tokenization
- Understand the theory and intuition behind Naive Bayes classifiers
- Train a Naive Bayes Classifier and assess its performance
- 2 hours
- Intermediate
- English
- 7500+
Skills you gain:
- Artificial Intelligence (AI)
- Data Science
- Python Programming
- Machine Learning
In this Guided Project, you will:
- Understand the theory and intuition behind Facebook Prophet time series forecasting tool
- Build and train time series forecasting model using Facebook prophet
- Assess Trained model performance
- 2 hours
- Intermediate
- English
- 7000+
Skills you gain:
- Applied Machine Learning
- Deep Learning
- Artificial Neural Network
- Python Programming
- Tensorflow
In this Guided Project, you will:
- Generate a sample dataset using Scikit-Learn.
- Implement an activation function and feed-forward propagation in a multi-layer ANN in Python code
- Utilize gradient descent to adjust the weights of each layer of our ANN through back-propagation implementation in Python code
- 2 hours
- Intermediate
- English
- 8700+
Skills you gain:
- Confusion Matrix
- Classification Trees
- Cost Complexity Pruning
- Cross Validation
In this Guided Project, you will:
- Create Classification Trees in Python
- Apply Cost Complexity Pruning in Python
- Apply Cross Validation in Python
- Create Confusion Matrices in Python
- 2 hours
- Beginner
- English
- 5500+
Skills you gain:
- Data Science
- Geovisualization
- Python Programming
- Spatial Analysis
- Geospatial data analysis
In this Guided Project, you will:
- Learn how to manipulate geospatial data.
- Generate heat maps and marker clusters using Folium.
- Convert your jupyter notebook into a dashboard using a single line of code.
- 1 hour
- Beginner
- English
- 5800+
Skills you gain:
- Data Science
- Geovisualization
- corona virus
- Python Programming
- folium
In this Guided Project, you will:
- Learn how to access live data using an API.
- Generate a choropleth map and a heat map using folium.
- Convert your jupyter notebook into a dashboard using a single line of code.
- 1 hour
- Beginner
- English
- 8900+
Skills you gain:
- Artificial Intelligence (AI)
- Machine Learning
- clustering
- Python Programming
- unsupervised machine learning
In this Guided Project, you will:
- Understand how to leverage the power of machine learning to transform marketing departments and perform customer segmentation
- Compile and fit unsupervised machine learning models such as PCA and K-Means to training data.
- Understand the theory and intuition behind Principal Component Analysis (PCA) and k-means clustering machine learning algorithm
- Learn how to obtain the optimal number of clusters using the elbow method
- 1.5 hours
- Intermediate
- English
- 16000+
Skills you gain:
- Data Science
- Machine Learning
- Python Programming
- regression
- Numpy
In this Guided Project, you will:
- Implement the gradient descent algorithm from scratch
- Perform univariate linear regression with Numpy and Python
- Create data visualizations and plots using matplotlib
- 1.5 hours
- Intermediate
- English
- 8100+
Skills you gain:
- Data Science
- Python Programming
- Seaborn
- Numpy
- PCA
In this Guided Project, you will:
- Implement Principal Component Analysis (PCA) from scratch with NumPy and Python
- Conduct basic exploratory data analysis (EDA)
- Create simple data visualizations with Seaborn and Matplotlib
- 2 hours
- Beginner
- English
- 13000+
Skills you gain:
- Opencv
- Python Programming
- Jupyter Notebook
In this Guided Project, you will:
- How to open an Image with Matplotlib
- Differences between Matplotlib and OpenCV
- The 3 main points to remember when working with OpenCV
- How to Flip, resize an image, how to draw shapes and write on an image
- 1 hour
- Intermediate
- English
- 13000+
Skills you gain:
- Opencv
- Python Programming
- Jupyter Notebook
In this Guided Project, you will:
- Detect Faces, Eyes, and both of them from Images.
- Detect People Walking and Cars Moving from Videos
- Detect a Car’s Plate from Images
- 2 hours
- Intermediate
- English
- 9200+
Skills you gain:
- Decision Tree
- Machine Learning
- Random Forest
- classification
- Scikit-Learn
In this Guided Project, you will:
- Apply decision trees and random forests with scikit-learn to classification problems
- Interpret decision trees and random forest models using feature importances
- Tune model hyperparamters to improve classification accuracy
- Create interactive, GUI components in Jupyter notebooks using widgets
- 2 hours
- Intermediate
- English
- 7400+
Skills you gain:
- Decision Tree
- Machine Learning
- Random Forest
- classification
- Scikit-Learn
In this Guided Project, you will:
- Apply decision trees and random forests with scikit-learn to classification problems
- Interpret decision trees and random forest models using feature importances
- Tune model hyperparamters to improve classification accuracy
- Create interactive, GUI components in Jupyter notebooks using widgets
- 1.5 hours
- Intermediate
- English
- 6500+
Skills you gain:
- Data Science
- Machine Learning
- Python Programming
- Seaborn
- Data Visualization (DataViz)
In this Guided Project, you will:
- Produce and customize various chart types with Seaborn
- Apply feature selection and feature extraction methods with scikit-learn
- Build a boosted decision tree classifier with XGBoost
- 2 hours
- Intermediate
- English
- 13000+
Skills you gain:
- Data Science
- Web Development
- Python Programming
- Streamlit
- Data Visualization (DataViz)
In this Guided Project, you will:
- Build interactive web applications with Streamlit and Python
- Use Pandas for data manipulation in data science workflows
- 1.5 hours
- Intermediate
- English
- 9400+
Skills you gain:
- Data Science
- Machine Learning
- Python Programming
- Streamlit
- Scikit-Learn
In this Guided Project, you will:
- Build interactive web applications with Streamlit and Python
- Train Logistic Regression, Random Forest, and Support Vector Classifiers using scikit-learn
- Plot evaluation metrics for binary classification algorithms
Data Science Projects with TensorFlow
- 2 hours
- Intermediate
- English
- 9200+
Skills you gain:
- Data Science
- Deep Learning
- Mathematical Optimization
- Artificial Neural Network
- Tensorflow
In this Guided Project, you will:
- How to implement a neural network from scratch using TensorFlow.
- How to solve a multi-class classification problem using the neural network implementation.
- 2 hours
- Beginner
- English
- 11000+
Skills you gain:
- Deep Learning
- Artificial Neural Network
- Machine Learning
- Tensorflow
- keras
In this Guided Project, you will:
- Create, train, and evaluate a neural network in TensorFlow.
- Solve regression problems with neural networks.
- 1 hour
- Intermediate
- English
- 6800+
Skills you gain:
- Deep Learning
- Artificial Neural Network
- Machine Learning
- Tensorflow
- keras
In this Guided Project, you will:
- Solve a basic image classification problem with neural networks
- Build, train, and evaluate a neural network model with Keras using R
List of Free Data Science Guided Projects
Note: Throughout the list, every course has been provided with the information as below:
- Approximate minutes/ hours
- Course level
- Language
- Click on "Show more" for description
Free Data Science Projects with AWS
- 2 hours
- Beginner
- English
Skills you gain: aws, EC2, Hypertext Transfer Protocol (HTTP), ssh, Apache.
In this Free Guided Project, you will:
- Launch an Amazon EC2 Instance
- Connect to Amazon EC2 Instance shell from the AWS console
- Deploy web application using browser-based ssh client
- Showcase this hands-on experience in an interview
- 2 hours
- Beginner
- English
Skills you gain: aws, Amazon Cloudfront, s3.
In this Free Guided Project, you will:
- Create an AWS S3 bucket
- Create an AWS Cloudfront distribution
- Setup error pages & region-wise access restrictions.
- Showcase this hands-on experience in an interview
- 2 hours
- Beginner
- English
Skills you gain: aws, s3, S3 Encryption, Lifecycle Management, S3 Versioning.
In this Free Guided Project, you will:
- Create your First S3 Bucket and Upload Content to Bucket and Manage their Access
- Enable S3 Encryption, S3 Versioning and Lifecycle management rules on S3 Bucket
- Create Static Website using AWS S3
- Showcase this hands-on experience in an interview
- 2 hours
- Intermediate
- English
Skills you gain: aws, EC2, Cloud, virtual machine, Autoscaling.
In this Free Guided Project, you will:
- Create a launch template
- Create an Auto Scaling group
- Verify & terminate your Auto Scaling group
- Showcase this hands-on experience in an interview
- 2 hours
- Advanced
- English
Skills you gain: Deep Learning, semantic segmentation, Machine Learning, sagemaker, Computer Vision.
In this Free Guided Project, you will:
- Prepare data for Sagemaker Semantic Segmentation.
- Train a model using Sagemaker.
- Deploy a trained model using Sagemaker.
- Showcase this hands-on experience in an interview
Free Data Science Guided Project with Azure ML
- 2 hours
- Beginner
- English
Skills you gain: Data Science, Machine Learning, Data Analysis, Binary Classification, Azure Machine Learning.
In this Free Guided Project, you will:
- Pre-process data using appropriate modules
- Train and evaluate a boosted decision tree model on Azure ML Studio
- Create scoring and predictive experiments
- Deploy the trained model as an Azure web service
- Showcase this hands-on experience in an interview
Free Data Science Guided Projects from Google
- 50 minutes
- Intermediate
- English
Skills you gain: Web Traffic, Google Analytics, Marketing, website performance.
In this Free Guided Project, you will:
- Understand various parameters available for analyzing Audience reports
- Understand the Active Users Report, the Lifetime Value Report, and the Cohort Analysis Report
- Understand the Benchmarking Reports
- and the Users Flow Report
- Showcase this hands-on experience in an interview
- 2 hours
- Intermediate
- English
Skills you gain: Validity (Statistics), Survey Data Insights, Data Analysis, Business Intelligence, Report Differences Between Groups.
In this Free Guided Project, you will:
- Understand Chi-Square statistics and what they tell us.
- Build the framework and conduct the Chi-Square test for significance of difference between groups.
- Evaluate and interpret the probabilities that there are significant differences between variables in three Chi-Square tests.
- Showcase this hands-on experience in an interview
- 2 hours
- Intermediate
- English
Skills you gain: Sales Projections, Forecasting, Seasonal Indexes, Feature Engineering, Predictive Analytics.
In this Free Guided Project, you will:
- Identify use cases for applying seasonality to sales projections.
- Visualize and conduct exploratory data analysis (EDA.)
- Understand the process of applying seasonality, and how to run and evaluate a sales projection.
- Showcase this hands-on experience in an interview
- 2 hours
- Beginner
- English
Skills you gain: Survey Methodology, Statistical Data Preparation, Impute Missing Values, Business Intelligence, Data Validation.
In this Free Guided Project, you will:
- Understand the value of handling missing values when preparing data for analysis.
- Consider best practices for removing data entries in survey data sets and impute missing values with methods of centrality in Google Sheets.
- Consider when survey values can be restored from other sources and impute values with cross-validation methods in Google Sheets.
- Showcase this hands-on experience in an interview
- 2 hours
- Beginner
- English
Skills you gain: Machine Learning, Forecasting Demand, Feature Engineering, Data Analysis, Business Intelligence.
In this Free Guided Project, you will:
- Understand why and how imputing missing values supports an accurate analysis.
- Replace missing data with three simple imputation methods in Google Sheets.
- Understand uses for moving averages techniques, how to evaluate effectiveness of imputation methods, and how to conduct a demand forecast.
- Showcase this hands-on experience in an interview
- 2 hours
- Beginner
- English
Skills you gain: Optimize Supply Chain, Business Process Management, Business Analysis, Business Strategy, Operations Research.
In this Free Guided Project, you will:
- Understand supply chain data and how RFID data is collected.
- Identify use cases for RFID tracking and explore supply chain data.
- Identify areas for improvement with RFID data and consider next steps to optimize the supply chain in Google Sheets.
- Showcase this hands-on experience in an interview
- 2 hours
- Beginner
- English
Skills you gain: Validity (Statistics), Business Analytics, Research Methodology, Business Intelligence, Insight Mining.
In this Free Guided Project, you will:
- Understand Type 1 and Type 2 errors and the importance of recognizing them to mitigate risk.
- Develop a hypothesis and prepare data for testing in Google Sheets.
- Conduct a t-test and interpret the test statistic in Google Sheets.
- Showcase this hands-on experience in an interview
- 2 hours
- Intermediate
- English
Skills you gain: Effective Communication about Data, Data Story, Data Visualization (DataViz), Business Intelligence, Insight Mining.
In this Free Guided Project, you will:
- Craft a chart that accurately reflects the data story in Google Sheets.
- Create a data visualization that tells a data story in Google Slides.
- Balance data, documentation, and design within a visualization.
- Showcase this hands-on experience in an interview
- 2 hours
- Intermediate
- English
Skills you gain: Mining Insights, Data Visualization (DataViz), Business Intelligence, Telling the Data Story, Presenting Survey Data.
In this Free Guided Project, you will:
- Select meaningful data visualizations that will support the survey data story.
- Analyze the survey data questions and responses and place them in a logical story arc.
- Create survey data graphics and add concise narrative to help the data story resonate with its audience.
- Showcase this hands-on experience in an interview
Free Data Science Project with IBM Watson
- 2 hours
- Beginner
- English
Skills you gain: Natural Language Processing, Customer Service, Customer Engagement, Cloud Computing, IBM Cloud.
In this Free Guided Project, you will:
- Creating an IBM Cloud account and configure the Watson’s Assistant to capture customer goals, business, entities, and dialogs.
- Deploy the an IBM Watson Assistant to interact with online customers.
- How to build meaningful dialogs in Watson’s Assistant.
- Showcase this hands-on experience in an interview
Free Data Science Guided Projects with Python
- 2 hours 15 mins
- Intermediate
- English
Skills you gain: PyCaret, Machine Learning, Python Programming, Regression, Auto ML.
In this Free Guided Project, you will:
- How to create a regression environment and compare model performance
- Create best performing regression models
- Using hyper parameter to tune models
- Showcase this hands-on experience in an interview
- 2 hours
- Intermediate
- English
Skills you gain: Convolutional Neural Network, Deep Learning, pytorch, Neural Style Transfer.
In this Free Guided Project, you will:
- Understand Neural Style Transfer Practically
- Be able to create artistic style image by applying style transfer using pytorch
- Showcase this hands-on experience in an interview
Free Data Science Project with Spreadsheet
- 1 hour 30 minutes
- Beginner
- English
Skills you gain: Spreadsheet, Business Analysis, Data Analysis, Mathematics, Data Visualization (DataViz).
In this Free Guided Project, you will:
- Apply the basics of google sheets and Mathematical Functions.
- Apply how to clean the data, and visualize quantities and categorical data.
- Showcase this hands-on experience in an interview
Free Data Science Project withTesnsorFlow
- 2 hours
- Intermediate
- English
Skills you gain: Natural Language Processing, Deep Learning, Machine Learning, Tensorflow, Natural Language Generation.
In this Free Guided Project, you will:
- Natural language generation with a deep learning model
- Using tokenizer in TensorFlow
- Showcase this hands-on experience in an interview
- 1.5 hours
- Intermediate
- English
Skills you gain: Deep Learning, NVIDIA TensorRT (TF-TRT), Python Programming, Tensorflow, Keras.
In this Free Guided Project, you will:
- Optimize Tensorflow models using TensorRT (TF-TRT)
- Use TF-TRT to optimize several deep learning models at FP32, FP16, and INT8 precision
- Observe how tuning TF-TRT parameters affects performance and inference throughput
- Showcase this hands-on experience in an interview
- 1.5 hours
- Intermediate
- English
Skills you gain: Natural Language Processing, Deep Learning, Inductive Transfer, Machine Learning, Tensorflow.
In this Free Guided Project, you will:
- Use pre-trained NLP text embedding models from TensorFlow Hub
- Perform transfer learning to fine-tune models on real-world text data
- Visualize model performance metrics with TensorBoard
- Showcase this hands-on experience in an interview
- 2 hours
- Beginner
- English
Skills you gain: Deep Learning, Artificial Neural Network, Convolutional Neural Network, Machine Learning, Tensorflow.
In this Free Guided Project, you will:
- Implement gradient ascent algorithm
- Visualize image features that maximally activate filters of a CNN
- Showcase this hands-on experience in an interview
