Applied Data Science Courses
Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.
Popular Applied Data Science Courses and Certifications
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computer Programming, Python Programming, Computational Thinking, Data Science, Theoretical Computer Science, Data Processing, Geometry, Data Analysis Expressions (DAX), Data Manipulation, Performance Tuning, Data Analysis, Data Management, Applied Mathematics
Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Network Model, Network Architecture, Configuration Management
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, Statistical Software, Probability, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, AI Personalization, Mobile Development, AI powered creativity, Software Design Documents, Software Design, Prompt Engineering Tools, Anthropic Claude, Mobile Development Tools, LLM Application, AI literacy, iOS Development, Machine Learning Software, Software Development
Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management
Universidad de los Andes
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Statistical Methods, Statistical Analysis, Variance Analysis
University of Colorado Boulder
Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Model Optimization, Applied Mathematics
Google Cloud
Skills you'll gain: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API
Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
Universidad de los Andes
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Data Literacy, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Statistical Modeling, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference, Analytical Skills, Correlation Analysis
Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, Cloud Deployment, Model Training, IBM Cloud, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Containerization, Data Science, Python Programming, Scalability, Design Thinking
Google Cloud
Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Model Deployment, Model Training, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Performance Tuning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines
In summary, here are 10 of our most popular applied data science courses
- DSA In Python + Top 130 Leetcode Problems for MAANG: Packt
- Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
- Bayesian Statistics: Duke University
- Generative AI for Mobile App Developers: IBM
- Transformer Architectures and Multimodal Models: Edureka
- Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
- Resampling, Selection and Splines: University of Colorado Boulder
- Computer Vision Fundamentals with Google Cloud: Google Cloud
- Microsoft Azure Machine Learning: Microsoft
- Fundamentos de estadística aplicada: Universidad de los Andes
