Data Analytics
The Year Up Data Analytics training program focuses on developing a broad spectrum of skills essential for careers in data analytics, ranging from computer systems fundamentals to advanced data management and analysis.
Explore below the roles that the graduates of this program are ready for and the competencies they have been trained in.
Role pathways for graduates of the Data Analytics program
Data Preparation
- Importing data from spreadsheets or data storage systems.
- Utilizing data preparation tools and techniques to clean, validate, transform, and load data into systems for analysis.
- Preparing data to ensure it is in the correct format and quality for detailed analysis.
Data Analysis & Reporting/ Business Intelligence
- Importing data from various sources for the purpose of analysis.
- Analyzing data to uncover trends, patterns, and insights.
- Building reports or presentations to summarize findings.
- Assisting businesses in decision-making processes through actionable insights derived from data analysis.
Database Development
- Using SQL and programming languages such as Python for database modification or editing.
- Designing and building new databases to meet specific requirements.
- Developing tools and scripts for efficient database querying.
- Troubleshooting and resolving issues within databases.
Summary of the key competencies developed during the one-year training
Computer Architecture & Systems Fundamentals
- Computer Systems: Understanding of computer systems, including operating systems (Windows, Linux, Mac), servers, and cloud infrastructure.
Programming Fundamentals
- Basic Program Writing: Skills in writing and executing basic programs using languages such as Java, Python, C#, R, or JavaScript.
- Programming Concepts Application: Application of programming concepts like data types, variables, conditionals, methods, loops, and data structures to problem-solving.
- Development Environment Navigation: Proficiency in navigating software development environments, including IDEs, frameworks, and libraries.
- Code Error Identification: Ability to identify and resolve software issues through code reviews and debugging tools.
Data Management, Analysis & Reporting
- Big Data Navigation: Knowledge of the Big Data ecosystem, including data mining, data lakes, warehouses, ETL processes, NoSQL databases, and the use of cloud computing.
- Data Visualization: Proficiency in using tools like Tableau, Power BI, and Excel for data sourcing, visualization, and dashboard creation.
- Data Loading, Cleaning & Organizing: Skills in using Excel to prepare data sets for analysis.
- Intermediate Data Analysis: Ability to make business-related inferences by identifying, analyzing, and interpreting data trends and patterns.
- Data Reporting & Storytelling: Expertise in developing reports that effectively convey data stories using visualization and business tools.
Software Development Fundamentals
- Version Control System Navigation: Use of version control systems (e.g., Git, CVS, Subversion), including command line and GUI tools.
- Software Methodology Application: Application of SDLC methodologies like Agile/Scrum or Waterfall within software development teams.
- Problem Analysis: Skills in analyzing complex problems, clarifying objectives, and developing solutions.
Database Management
- Database Design & Modification: Competence in designing, building, populating, and editing relational databases with an emphasis on normalization, keys, and constraints.
- Query Writing: Ability to construct and execute basic SQL commands.
- Data Governance: Understanding the importance of data governance and methods to ensure high-quality data management throughout its lifecycle.