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.

Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Exploratory Data Analysis, Data Validation, Data Maintenance, Problem Management, Data Analysis, Data Visualization, Data Analysis Software, Google Cloud Platform
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Data Governance, Data Management, Data Architecture, Data Quality, Data Strategy, Information Management, Metadata Management, Governance, Data Security, Data Integration, Google Cloud Platform, Identity and Access Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Presentations, Sales Presentations, Sales Presentation, Data Visualization, Productivity Software, Design
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS Kinesis, Apache Kafka, Amazon Redshift, Data Lakes, Real Time Data, Data Management, Apache Hive, Apache Spark, Amazon S3, Data Pipelines, Data Processing, Big Data, Apache Hadoop, AWS Identity and Access Management (IAM), Query Languages, Serverless Computing, Scalability
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Teradata SQL, SQL, Stored Procedure, Transaction Processing, Query Languages, Performance Tuning, Database Management, Data Manipulation, Data Security, Extract, Transform, Load, Database Architecture and Administration, Data Transformation, Data Storage, Relational Databases, Solution Design, Database Management Systems, Data Import/Export, Database Design, System Implementation, Mainframe Computing
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Cross-Channel Marketing, Customer Analysis, Target Audience, Content Performance Analysis, Marketing Effectiveness, Campaign Management, Data Presentation, Advertising Campaigns, Digital Marketing, Performance marketing, Marketing Strategies, Consumer Behaviour, Data-Driven Decision-Making, Performance Analysis, Marketing Budgets
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: File I/O, Object Oriented Programming (OOP), C++ (Programming Language), Data Structures, Object Oriented Design, Software Design Patterns, Programming Principles, Data Persistence, Algorithms, Simulations
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Marketing Analytics, Web Analytics, Content Performance Analysis, Marketing Effectiveness, Marketing Automation, Data Analysis, Customer Insights, Data-Driven Decision-Making, Statistical Analysis, Web Analytics and SEO, Model Evaluation, Anomaly Detection, Continuous Monitoring, Quality Assessment, Verification And Validation
Beginner · Course · 1 - 4 Weeks