Darum lohnt es sich
At this stage, remove any duplicate, corrupted, or blank records that could distort analysis Exploratory Data Analysis (EDA): perform exploratory analyses to understand data distributions and identify patterns and/or outliers that may indicate initial trends Report and dashboard development: create visual reports and dashboards using Certsys tools and/or client-provided tools that highlight key insights identified during collection, cleaning, and EDA Data modeling: actively participate in designing data models and database structures that support the organization’s analytical needs Statistical analysis: apply basic statistical techniques to understand relationships between variables, perform hypothesis testing, and conduct comparative analyses based on business rules Team collaboration: work with business teams, data scientists, and other professionals to gather analytical requirements and translate them into solutions Understanding business objectives: maintain a solid understanding of the organization’s business goals to ensure data analysis is aligned with company objectives Technical skill development: continuously improve technical skills, including programming languages s Responsibilities Collect data from multiple sources, whether from databases or via data collection tools Data cleaning and preparation: process raw data to ensure it is clean, consistent, and ready for analysis.
