Beginner Data Analysis Courses

Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Machine Learning Methods, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Performance Testing, Spreadsheet Software, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods

Skills you'll gain: Feature Engineering, Apache Airflow, Databricks, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, Data Lakes, Model Training, Apache Spark, Data Store, AI Workflows, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Machine Learning, Data Collection, SQL, Data Storage, Machine Learning Algorithms, Warehouse Management

Skills you'll gain: Fine-tuning, Large Language Modeling, LLM Application, Hugging Face, Prompt Patterns, Retrieval-Augmented Generation, Prompt Engineering, Debugging, Transfer Learning, Product Support, Model Training, Model Deployment, Model Optimization, Model Evaluation, Data Transformation, Data Cleansing, Natural Language Processing, Data Validation, Memory Management

Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Programming, R (Software), Unix Shell, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Statistical Visualization, Linux Servers, Programming Principles, Pandas (Python Package), Python Programming

Skills you'll gain: Unit Testing, Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Flask (Web Framework), Software Design, Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Data Import/Export, Python Programming, NumPy

Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Token Optimization, Embeddings, Generative Model Architectures, Generative AI, LLM Application, Model Deployment, Data Processing, Text Mining, Model Evaluation, Unstructured Data, Large Language Modeling, Model Training, Data Preprocessing, Vector Databases, API Design, Metadata Management, Docker (Software), Python Programming

Skills you'll gain: Statistical Hypothesis Testing, Sample Size Determination, Statistical Inference, Sampling (Statistics), Statistics, Statistical Methods, Business Analytics, Quantitative Research, Probability & Statistics, Statistical Analysis, Estimation, Decision Making, Probability Distribution, Case Studies, Benchmarking

Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods, Algorithms

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms

Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

Skills you'll gain: Data Import/Export, Box Plots, Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Statistical Programming, Programming Principles, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Mathematical Software, Epidemiology, Numerical Analysis, Other Programming Languages, Computer Programming, Statistical Hypothesis Testing, Scripting, Computational Logic

Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms