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.

Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Big Data, Data Cleansing, Exploratory Data Analysis, Google Analytics, Data Integration, Data Manipulation, SQL, Database Administration
Beginner · Project · Less Than 2 Hours

University at Buffalo
Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Literacy, Process Mapping, Data Ethics, Data Visualization, Data-Driven Decision-Making, Data Collection, Process Improvement, Data Visualization Software, Business Process, Business Analytics, Tableau Software, Analytics, Data Analysis, Root Cause Analysis, Minitab, Lean Methodologies, Six Sigma Methodology, Process Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Exploratory Data Analysis, Data Preprocessing, Unsupervised Learning, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Dataflow, Google Cloud Platform, Real Time Data, Data Pipelines, Data Warehousing, Extract, Transform, Load, Data Preprocessing, Data Transformation, Apache Airflow, Big Data, Tensorflow, Feature Engineering, Workflow Management, Dashboard, Apache Spark, Data Processing, Data Lakes, PySpark, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Responsible AI, Exploratory Data Analysis, AI Enablement, Data-Driven Decision-Making, Artificial Intelligence, Pandas (Python Package), Automation, Data Cleansing, Data Preprocessing, Data Visualization Software, Descriptive Statistics, Data Validation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Big Data, Tensorflow, Extract, Transform, Load, Dataflow, Query Languages, Apache Spark, Data Warehousing, Data Infrastructure, SQL, Data Architecture, Unstructured Data, Apache Hadoop, Applied Machine Learning, Data Processing, Real Time Data, MLOps (Machine Learning Operations)
Intermediate · Specialization · 3 - 6 Months

Whizlabs
Skills you'll gain: Microsoft Azure, Azure Synapse Analytics, Data Integration, Cloud Storage, Data Lakes, Data Pipelines, Data Storage, Databricks, Microsoft SQL Servers, NoSQL, .NET Framework, Data Security, Real Time Data, Encryption, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability
Beginner · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Computer Vision, Artificial Neural Networks, Transfer Learning, Scripting, Programming Principles, Data Management
Intermediate · Specialization · 1 - 3 Months