Data Science Courses
78 Data Science course including subcategories.
78 results
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Data Analysis
Data analysis is the systematic process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-ma...
- Apply data cleaning techniques to handle missing values and...
- Build interactive data visualizations using Python libraries...
- +5 more outcomes
Data-Driven Decision Making
Data-driven decision making (DDDM) is the systematic practice of using data to guide strategic and operational choices rather than relying solely on intuition or anecdota...
- Apply foundational principles of data-driven decision making...
- Evaluate data collection methods to ensure the acquisition o...
- +6 more outcomes
Advanced Excel Analysis Techniques
Advanced Excel Analysis Techniques encompass the specialized set of tools, functions, and methodologies within Microsoft Excel that go far beyond basic spreadsheets to en...
- Use Power Query to import, clean, and reshape raw data from...
- Implement dynamic array functions like FILTER, SORT, and UNI...
- +5 more outcomes
Data Science and Big Data Analytics
Data Science and Big Data Analytics is the interdisciplinary field that combines statistics, computer science, and domain knowledge to uncover patterns, trends, and insig...
- Evaluate the data science and big data landscape to identify...
- Design and implement data acquisition and storage solutions...
- +6 more outcomes
Statistics: From Data to Insight
Statistics is the science of collecting, organizing, analyzing, interpreting, and presenting data to uncover patterns and support decision-making under uncertainty.
- Calculate and interpret measures of central tendency, disper...
- Design and critique data visualizations such as histograms,...
- +7 more outcomes
Big Data Analytics and Processing
Big Data Analytics and Processing is the discipline of capturing, storing, managing, and analyzing massive, complex datasets that exceed the capabilities of traditional d...
- Analyze the core characteristics and challenges of big data...
- Design robust data ingestion pipelines that integrate divers...
- +6 more outcomes
Python Data Science
Python Data Science is the interdisciplinary field that uses the Python programming language to extract knowledge and insights from structured and unstructured data.
- Write and execute Python scripts to perform basic data opera...
- Implement numerical computations using NumPy arrays to perfo...
- +6 more outcomes
Power BI Data Analysis
Power BI Data Analysis is the practice of using Microsoft Power BI to collect, clean, model, and visualize data in order to uncover trends, patterns, and insights.
- Connect to and import data from multiple sources including E...
- Transform and clean raw data using Power Query to create a s...
- +6 more outcomes
Tableau Data Visualization
Tableau Data Visualization is the practice of using Tableau software to create graphical representations of data, enabling users to see patterns, trends, and outliers at...
- Connect to diverse data sources and navigate the Tableau int...
- Build basic visualizations such as bar charts, line graphs,...
- +6 more outcomes
Power BI Dashboard Design
Power BI Dashboard Design is the discipline of creating visual, interactive interfaces that summarize and present key performance indicators, trends, and insights from un...
- Apply foundational dashboard design principles to structure...
- Build a data model in Power BI by defining relationships and...
- +5 more outcomes
Machine Learning Project Lifecycle
The Machine Learning Project Lifecycle is a structured framework that guides the end-to-end process of creating and maintaining machine learning systems.
- Define measurable success metrics and business objectives to...
- Acquire and explore diverse datasets using statistical summa...
- +6 more outcomes
Data Analysis with AI and Excel
Data Analysis with AI and Excel is the practice of extracting meaningful patterns, trends, and narratives from structured data by blending Excel’s robust calculation and...
- Apply Excel foundational skills to structure, format, and ma...
- Execute data cleaning and preparation techniques using Excel...
- +6 more outcomes
Data Analytics with Python and SQL
Data analytics with Python and SQL is the practice of using two complementary technologies to interrogate, transform, and derive meaning from structured data.
- Configure a Python data analytics environment with Jupyter,...
- Write SQL queries using SELECT, FROM, WHERE, and ORDER BY to...
- +6 more outcomes
R Statistical Programming
R Statistical Programming is a language and environment specifically built for statistical computing and graphics.
- Set up the R programming environment and manage packages for...
- Import data from CSV, Excel, and database sources, and expor...
- +6 more outcomes
Demand Forecasting Methods
Demand forecasting methods are systematic approaches used to estimate future customer demand for products or services over a specific time horizon.
- Explain the role of demand forecasting in supply chain manag...
- Apply qualitative forecasting techniques such as the Delphi...
- +6 more outcomes