Data Analysis and Visualization
Expert-defined terms from the Professional Certificate in Digital Business Analysis course at London School of Planning and Management. Free to read, free to share, paired with a globally recognised certification pathway.
Data Analysis and Visualization #
Data Analysis and Visualization
Data analysis and visualization are crucial components of the data #
driven decision-making process in digital business analysis. These techniques involve examining, cleaning, transforming, and modeling data to extract meaningful insights and communicate findings effectively through visual representations.
Data Analysis #
Data Analysis
Data analysis is the process of inspecting, cleaning, transforming, and modeling… #
It involves various methods and techniques to interpret and evaluate data sets, such as statistical analysis, machine learning, and data mining.
Data Visualization #
Data Visualization
Data visualization is the graphical representation of information and data #
By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. It helps users analyze and interpret complex data sets more easily.
Alphabetical Order #
Alphabetical Order
Alphabetical order is a system of organizing words or terms based on the sequenc… #
It is commonly used for indexing, sorting, and locating information in a structured and uniform manner. For example, terms starting with 'A' come before terms starting with 'B' in alphabetical order.
Big Data #
Big Data
Big data refers to large and complex data sets that are difficult to process usi… #
It is characterized by the volume, velocity, and variety of data, requiring advanced analytics techniques and technologies to extract valuable insights and make informed decisions.
Business Intelligence #
Business Intelligence
Business intelligence (BI) is a technology #
driven process for analyzing data and presenting actionable information to help executives, managers, and other corporate end-users make informed business decisions. BI tools and software enable organizations to gain insights into their operations, performance, and market trends.
Cluster Analysis #
Cluster Analysis
Cluster analysis is a data mining technique used to group similar objects or dat… #
It is commonly applied in pattern recognition, image analysis, and market segmentation to identify meaningful relationships and structures within data sets. Cluster analysis helps in understanding the underlying patterns in data.
Correlation #
Correlation
Correlation is a statistical measure that describes the relationship between two… #
It indicates how closely the variables move together and can be positive, negative, or zero. Correlation analysis helps in understanding the strength and direction of the relationship between variables in a data set.
Data Cleansing #
Data Cleansing
Data cleansing, also known as data cleaning or data scrubbing, is the process of… #
It involves removing duplicate records, correcting inaccuracies, and handling missing or incomplete data to ensure data quality and reliability for analysis and visualization.
Data Mining #
Data Mining
Data mining is the process of discovering patterns, trends, and insights in larg… #
It helps organizations identify hidden relationships and valuable information from raw data to support decision-making and strategic planning.
Data Quality #
Data Quality
Data quality refers to the accuracy, completeness, consistency, and reliability… #
High-quality data is essential for meaningful analysis, visualization, and decision-making. Data quality assessment involves evaluating data against specific criteria to ensure its fitness for use in business analysis.
Data Transformation #
Data Transformation
Data transformation is the process of converting raw data into a structured form… #
It involves cleaning, aggregating, and manipulating data to make it more accessible and understandable for users. Data transformation enhances the quality and usability of data for decision-making purposes.
Data Visualization Tools #
Data Visualization Tools
Data visualization tools are software applications that enable users to create i… #
These tools provide a user-friendly interface for exploring and presenting data insights effectively. Popular data visualization tools include Tableau, Power BI, and Google Data Studio.
Descriptive Statistics #
Descriptive Statistics
Descriptive statistics is a branch of statistics that focuses on summarizing and… #
It includes measures such as mean, median, mode, standard deviation, and range to provide insights into the central tendency, variability, and distribution of data. Descriptive statistics help in understanding data characteristics.
Exploratory Data Analysis #
Exploratory Data Analysis
Exploratory data analysis (EDA) is an approach to analyzing data sets to summari… #
It involves visualizing data through charts, graphs, and summary statistics to gain insights and generate hypotheses for further analysis. EDA is an essential step in the data analysis process.
Machine Learning #
Machine Learning
Machine learning is a subset of artificial intelligence that enables systems to… #
It uses algorithms and statistical models to analyze and interpret patterns in data, making predictions and decisions based on the information learned. Machine learning is widely used in data analysis and visualization.
Market Segmentation #
Market Segmentation
Market segmentation is the process of dividing a market into distinct groups of… #
It helps businesses tailor their products, services, and marketing strategies to target specific customer segments effectively. Market segmentation is often based on demographic, geographic, psychographic, or behavioral factors.
Outlier Detection #
Outlier Detection
Outlier detection is the process of identifying data points that deviate signifi… #
Outliers can skew analysis results and distort visualizations, so detecting and handling them is crucial for accurate data analysis. Various techniques, such as statistical methods and machine learning algorithms, can be used for outlier detection.
Pattern Recognition #
Pattern Recognition
Pattern recognition is a branch of machine learning and artificial intelligence… #
It involves recognizing similarities and differences in data sets to categorize and interpret information effectively. Pattern recognition is used in image and speech recognition, natural language processing, and data analysis.
Regression Analysis #
Regression Analysis
Regression analysis is a statistical technique used to model the relationship be… #
It helps in understanding how the independent variables impact the dependent variable and making predictions based on the observed data. Regression analysis is commonly used in forecasting and trend analysis.
Sentiment Analysis #
Sentiment Analysis
Sentiment analysis, also known as opinion mining, is a natural language processi… #
It helps businesses understand customer feedback, social media conversations, and online reviews to gauge public perception and sentiment towards products or brands.
Statistical Analysis #
Statistical Analysis
Statistical analysis is the process of collecting, exploring, analyzing, and int… #
It involves using statistical methods and techniques to draw meaningful conclusions from data sets and make informed decisions. Statistical analysis plays a crucial role in data-driven decision-making.
Time Series Analysis #
Time Series Analysis
Time series analysis is a statistical technique used to analyze and interpret da… #
It helps in identifying patterns, trends, and seasonal variations in time series data to make forecasts and predictions. Time series analysis is commonly used in financial forecasting, sales projections, and trend analysis.
Unsupervised Learning #
Unsupervised Learning
Unsupervised learning is a machine learning technique where the model learns fro… #
It involves clustering similar data points or finding hidden patterns in the data without explicit guidance. Unsupervised learning is used in data clustering, anomaly detection, and pattern recognition.
Visual Analytics #
Visual Analytics
Visual analytics is an interdisciplinary field that combines interactive visuali… #
It enables users to interact with data visually, gain insights, and make informed decisions effectively. Visual analytics tools help in understanding data through interactive visual representations.
Word Cloud #
Word Cloud
A word cloud is a visual representation of text data where words are displayed i… #
Word clouds are often used to summarize and visualize text data, such as customer feedback, survey responses, or social media comments. They provide a quick overview of the most common words in a text.
Workflow Automation #
Workflow Automation
Workflow automation is the process of automating manual tasks, processes, and wo… #
It involves streamlining repetitive tasks, reducing errors, and ensuring consistency in business operations. Workflow automation tools help in optimizing and automating business processes.