PickAClass · AI, Tech & Engineering

Data Science & Analytics

Master the tools and techniques for collecting, cleaning, analyzing, and visualizing data to extract insights. Covers statistical analysis, data wrangling, and business intelligence.

9 subcategories · 1305 courses total

ETL and Data Pipelines

Understand the fundamentals of building automated data workflows. Learn to extract, transform, and load (ETL) data between systems for analytics and reporting.

245 courses

Statistical Foundations for Data Science

Learn the core statistical concepts essential for data analysis, including probability, distributions, hypothesis testing, and regression models.

218 courses

SQL for Data Analysis

Master SQL to query, join, and aggregate data from relational databases. This is a fundamental skill for any data professional to access and prepare data.

215 courses

Business Analytics

Apply data analysis techniques to solve business problems. Learn to translate business questions into data problems, analyze data, and present findings to stakeholders.

195 courses

Business Intelligence with Power BI

Use Microsoft Power BI to transform data into rich visuals. Learn to model data using DAX, create reports, and build dashboards for business analysis.

105 courses

Data Visualization with Python

Create compelling and informative data visualizations using Python libraries like Matplotlib, Seaborn, and Plotly to communicate insights effectively.

87 courses

Business Intelligence with Tableau

Build interactive dashboards and reports with Tableau. Connect to various data sources, create powerful visualizations, and share business insights.

83 courses

Exploratory Data Analysis

Discover how to investigate datasets to summarize their main characteristics, often with visual methods. Uncover patterns, spot anomalies, and test hypotheses before formal modeling.

79 courses

Data Wrangling with Python

Learn to clean, transform, handle missing values, and reshape messy data into a usable format using the Pandas and NumPy libraries in Python.

78 courses