Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.

Universidad de los Andes
Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Statistical Modeling, Design Thinking
Beginner · Course · 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Generative AI, ChatGPT, Responsible AI, Social Impact, Artificial Intelligence, AI Personalization, Organizational Effectiveness, Prompt Engineering, LLM Application, Operational Efficiency, Human Centered Design, Ethical Standards And Conduct, Natural Language Processing, Strategic Thinking, Problem Solving, Critical Thinking
Beginner · Course · 1 - 4 Weeks

Tableau Learning Partner
Skills you'll gain: Requirements Elicitation, Business Analysis, Business Metrics, Stakeholder Analysis, Key Performance Indicators (KPIs), Business Requirements, Stakeholder Management, User Requirements Documents, Business Process, Business Process Modeling, Data Visualization, Solution Delivery
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Model Deployment, Data Pipelines, Data Preprocessing, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Responsible AI, Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, AI Product Strategy, Personally Identifiable Information, Information Privacy, General Data Protection Regulation (GDPR), Artificial Intelligence, Design Thinking, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Responsible AI, AI Enablement, Generative AI, Strategic Thinking, Data Ethics, Artificial Intelligence, Workforce Development, Digital Transformation, Employee Engagement
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Natural Language Processing, Transfer Learning, Tensorflow, Google Cloud Platform, Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, Feature Engineering, Model Evaluation
Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Application Deployment, Cloud Deployment, Generative AI, Prompt Engineering, Prototyping, Agile Product Development, Retrieval-Augmented Generation, Application Development, Interactive Design, User Interface (UI), Data Integration
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Health Information Management, Machine Learning, Applied Machine Learning, Health Care, Model Deployment, Generative Adversarial Networks (GANs), Artificial Neural Networks, Healthcare Project Management, Supervised Learning, Model Evaluation, Machine Learning Methods, Graph Theory, Big Data
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
Intermediate · Professional Certificate · 3 - 6 Months